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. 2024 Oct 18;44:164–183. doi: 10.1016/j.bioactmat.2024.10.010

Engineering human immune organoids for translational immunology

Intan Rosalina Suhito a, Christina Sunil a, Andy Tay a,b,c,
PMCID: PMC11513670  PMID: 39474315

Abstract

Animal models have been extensively used as a gold standard in various biological research, including immunological studies. Despite high availability and ease of handling procedure, they inadequately represent complex interactions and unique cellular properties in humans due to inter-species genetic and microenvironmental differences which have resulted in clinical-stage failures. Organoid technology has gained enormous attention as they provide sophisticated insights about tissue architecture and functionality in miniaturized organs. In this review, we describe the use of organoid system to overcome limitations in animal-based investigations, such as physiological mismatch with humans, costly, time-consuming, and low throughput screening. Immune organoids are one of the specific advancements in organogenesis ex vivo, which can reflect human adaptive immunity with more physiologically relevant aspects. We discuss how immune organoids are established from patient-derived lymphoid tissues, as well as their characteristics and functional features to understand immune mechanisms and responses. Also, some bioengineering perspectives are considered for any potential progress of immuno-engineered organoids.

Keywords: Lymphoid organ, Organoids, Human adaptive immune system, In vitro immune model

Graphical abstract

Image 1

Highlights

  • This work summarized the development and progress of human immune organoid generation.

  • Immune organoid is useful as an in vitro modelling of human adaptive immune system.

  • Immune organoid readouts are necessary to investigate their physiological and morphological properties.

  • Challenges and bioengineering solutions to improve immune organoid research are discussed comprehensively.

1. Introduction

Our knowledge of the immune system is underpinned by two major discoveries in the nineteenth century. First, the identification of phagocytes and their mechanism toward pathogens by Elie Metchnikoff in 1882 which became the basis for innate immune system [1]. The second was established by Emil Von Behring and Shibasabura Kitasato in 1890, who discovered that antibodies are capable of neutralizing microbial toxins neutralization which became the basis of acquired immunity [2]. Moreover, T lymphocyte was discovered by Jacques Miller by the 1950s throughout his study on the role of thymus development for acquired immune response [3]. Immunological research has since progressed tremendously over the years and with rapid development in sequencing methods, it is now a cutting-edge discipline to address multiple human diseases including cancer, diabetes, and autoimmune disorders (e.g., rheumatoid arthritis and lupus) which have all been found to be affected by a dysfunctional immune state.

It is a well-known fact that a variety of ailments is associated with the breakdown of immune functions. Cancer ranks as the leading cause of death worldwide and it is correlated with an impaired immune system that increases the risk of malignancy [4,5]. The hallmark of cancer is a systemic and prolonged inflammation that significantly alters the systemic immune landscape during tumour progression. An aberrant innate and adaptive immune responses are responsible for tumorigenesis by selecting aggressive clones, triggering immunosuppression, and promoting cancer cell growth and metastasis [4]. Over the last decade, immunotherapy has revolutionized the toolkit against cancer by targeting the immune system, such as immunomodulation with immune checkpoint inhibitors (e.g., anti-PD1, anti-PDL1, and anti-CTLA4) that provide durable remissions or infusion of autologous tumour-infiltrating lymphocytes and chimeric antigen receptor (CAR) T cells to eradicate aggressive lymphomas [6].

In the past three years, the rapid spread of the coronavirus (SARS-CoV-2) is another example on the importance of understanding how our immunity deals with infectious agents. Cumulative mutations at viral receptor-binding domain reduce the effectiveness of existing vaccines against new variants. The emergence of SARS-CoV-2 immune escape necessitates multidisciplinary researchers to design strategies such as next-generation vaccine or antibody therapy that targets vulnerable sites unaffected by the mutations on the virus [7]. The impact of environmental and host factors such as pollution and aging (immunosenescence) have also attracted attention to study how these factors affect human immunity [8,9].

Our immune system is the first and foremost multicellular networks which collectively defend the body against infection or biological threats [10]. Understanding the human immune functions is critical to protect lives, and increase disease diagnostics and therapeutic effectiveness. Yet, it is challenging to do so due to the complexity, high inter-individual variability, and poor accessibility to primary immune tissues. Most preclinical studies on immune response rely on animal models (e.g., inbred mouse). Although immunocompetent mice can recapitulate human immune responses through in vivo studies, they involve caveats that should be seriously considered in experiments (e.g., unavoidable inter-species genomic and immune phenotypes differences, cost, and time-consuming). In addition, imprecise immune response patterns of animal models is one of the major reasons for low success rates of clinical trials, which further affects the rising costs ranging from 314 million to 2.8 billion dollars for a new therapy or drug development [11].

The use of humanized mice such as to evaluate immune checkpoint inhibitors and CAR-T therapy overcomes some of the aforementioned challenges [12,13]. Humanized mice also has been proven to model vector-borne disease or viral infection, i.e., the development of C3-deficient NOG mice to retain human red blood cells (RBCs) for mimicking the life cycle of malaria parasites, and plethora of humanized mouse models to understand the pathogenesis and sustainability of human immunodeficiency virus-1 (HIV-1) [14,15]. However, it still has some limitations including low similarity towards human immune system of <50 %, the need for invasive surgical procedures to transplant human cells (e.g., hematopoietic stem cells) or organs (e.g., fetal liver or thymus) into mice, the absence of primary immune responses, no multilineage haematopoiesis, no human leukocyte antigen (HLA) restriction, and possibility of developmental failure i.e., graft versus host disease [16,17]. To facilitate translational immunological research, it is paramount to substitute animal experiments with a highly accessible, robust, and cost-effective model.

Recent progress in biomimetic microengineering offers excellent constructs, called organ-on-a-chip, to mimic human physiological responses at the organ or tissue levels with an in vitro model. It is generally built from major functional cells residing in the organ to recapitulate key aspects of human physiology, and while this is a reductionist model, it has helped to offer insights such as deciphering biological mechanisms, drug discovery and toxicity testing and for preclinical testing [18,19]. There have also been several highly successful start-up companies (e.g., Emulate, Mimetas, 4Dcell, Hesperos) translating organ-on-a-chip prototypes into commercial products. Immune-system-on-a-chip typically comprises a multiorgan system and circulating immune cells to recapitulate immunosurveillance process [20], a tumour-on-a-chip platform to evaluate cancer-immune system crosstalk in correlation with immunotherapy efficacy [[21], [22], [23]], a microfluidic device supporting lymphoid follicle (LF) assembly for vaccine and adjuvant testing [24]. While these systems have advantages over animal models, it is important to acknowledge their limitations because immune system-on-a-chip cannot fully recapitulate native multicellular architecture and topography of an immune organ, and is unable to capture the deep intricacies of the human adaptive immunity. The absence of 3D tissue microarchitectural complexity, limited cell diversity, restricted circulatory system, and the lack of standardization and scalability of organ-on-a-chip, can limit their use as translational models [[25], [26], [27]].

Organoid technology is a powerful method to recapitulate the characteristics of human physiological organs alongside their mechanisms for tissue regeneration and development [28,29]. Organoids are three-dimensional (3D) multicellular self-organised tissues that mimic the architecture, functions, and complexities of their corresponding in vivo organs [30,31]. In the last decade, immune organoids have been established for immunological studies [[32], [33], [34], [35]]. They are primarily derived from lymphoid tissues including thymus, spleen, tonsil, and lymph nodes that is consequently advantageous to producing relevant ex vivo models [34,[36], [37], [38]]. Of note, lymphoid organoids can potentially address limitations of animal models to advance human immunology research. As an example, tonsil organoids generated from discarded tonsil tissues during tonsillectomy are capable of replicating properties of the germinal centres including somatic hypermutation, antigen-specific antibody production, affinity maturation, and class-switching [35]. This is a breakthrough technology to create a physiologically relevant model of the human adaptive immune system that could tackle some limitations from other clinical approaches (Fig. 1). Notwithstanding, research trends in immune organoids have advanced rapidly such as generating immune organoids from different lymphoid organs to build the complex human immunity, assembloids consisting of immune organoids with cancer organoids, and employing genetic and biological engineering techniques to create a more physiologically-relevant model by inducing endothelial cell formation or controlling organoid morphology [[39], [40], [41], [42]].

Fig. 1.

Fig. 1

Schematic illustration representing the human lymphatic organ modelling studies and the pros and cons between each model, including the in vivo animal testing, organ-on-a-chip system, precision cut tissue slice (PCTS), and organoid culture.

This review begins with a brief overview of major lymphoid organs including thymus, bone marrow, spleen, lymph node, and tonsils, that play key roles in the human immune functions, followed by comprehensive discussions on how their biological properties can be recapitulated using in vitro models including organoids. We also compare each immune model in Table 1. To educate new to this field, we next summarize methods and high-throughput assays to identify morphological and physiological features which are critical to organoid functionalities. Compared to other organoid models, the human lymphoid organoids are at the nascent stage with only less than ten papers published thus far. At the end of this review, we highlight challenges to generate immune organoid for translational human immunology, followed by bioengineering solutions. To the best of our knowledge, this is the first review discussing the progress in immune organoid research and we hope that this work will motivate immunologists, material scientists and tissue engineers to create immuno-engineered organoids as a viable alternative to animal models to support the field of translational immunology.

Table 1.

Comparisons of human immune models.

Animal model Organ-on-a-chip Precision cut tissue slices Organotypic culture
Accessibility ✓/✗ ✓✓✓ ✓✓✓
Physiological complexity ✓✓✓ ✓✓✓ ✓✓
Immune cell diversity ✓✓✓ ✓✓✓ ✓✓
Vascularization ✓✓✓ ✓✓ ✓/✗
Maturation ✓✓✓ ✓✓ ✓✓✓ ✓/✗
Reproducibility ✓/✗ ✓✓✓ ✓/✗ ✓/✗
Manipulability ✓/✗ ✓✓ ✓✓✓
Scalability ✓✓✓ ✓✓
Genome editing ✓/✗ ✓✓ ✓✓✓
High-throughput screening ✓✓✓ ✓✓✓
Biobanking ✓✓ (Only at cellular level) ✓/✗ ✓✓✓
Model immune responses ✓✓✓ ✓✓ ✓✓
Model human diseases ✓✓ (Limited to humanized mice) ✓✓✓ ✓✓✓
Ethical and regulatory compliance ✓✓✓ ✓✓ ✓✓

✓✓✓Best ✓✓Good ✓Partly applicable ✗Not applicable.

2. Comparing lymphoid organ biology and their models

Lymphoid tissues are integral parts of the human immune system where they play a central role in our defense mechanisms against infections and to maintain homeostasis. They are broadly classified into primary and secondary lymphatic organs. Primary lymphoid tissues consisting of bone marrow and thymus gland are essential to produce immune cells, named lymphocytes [43,44]. It is a place where hematopoietic stem cells (HSCs) divide and nurture into B and T cells. Particularly, B cell maturation also takes place in the bone marrow, while T cells need to migrate to the thymus for its maturating stage [45]. Lymphocytes and non-lymphoid cells are coexisting in secondary lymphoid tissues to deploy immune responses to antigens. Secondary lymphoid organ development relies on homeostatic chemokines, cytokines, and growth factors (e.g., lymphotoxin-αβ, tumour necrosis factor (TNF), and interleukin (IL)-7) that orchestrate the interactions between hematopoietic cells and immature mesenchymal or stromal cells. The lymphotoxin signalling determines the morphophysiological properties of secondary lymphoid organs by maintaining those adhesion molecules and chemokines [46,47]. Spleen, lymph nodes, and mucosal-associated lymphoid tissue (e.g., tonsils) are the major secondary lymphoid organ where lymphocytes activate their functions. They serve as a series of filters to sort the contents of the extracellular fluids, such as lymph, blood, and tissue fluid [48,49].

It is important to understand tissue niches, features, and critical functions attributing to in vitro organ remodelling. Table 2 shows side-by-side comparisons of lymphoid organs, which are helpful to highlight differences in their biological key functions and provide insights to bioengineering approaches to generate and characterize the physiological authenticity in vitro human organ mimicking models. This table compares tissue morphologies, organ functions and cell phenotypic markers, and existing in vitro models for lymphoid organs as an alternative to animal models.

Table 2.

Characteristics of lymphoid organs and their models.

Primary lymphoid organ Secondary lymphoid organ
General features
  • Named as central lymphoid organs

  • Primarily developed during ontogeny

  • Site for immature leukocytes production

  • Supporting hematopoietic stem cell proliferation, differentiation, and maturation

  • No antigen exposure

  • Decrease in size through aging (atrophy)

  • Named as peripheral lymphoid organs

  • Subsequently developed after primary lymphoid organogenesis

  • Site for initiating acquired immune system

  • Supporting lymphoid cells to become functional

  • Contactable with antigens

  • Increase in size through aging

Organ type Bone marrow Thymus Spleen Lymph Node Tonsil
Structures
  • Red bone marrow: located inside the spongy bones and rich in blood supply

  • Yellow bone marrow: located inside the compact bones and poor in blood supply

  • Outer zone (cortex): consists of ectodermal cells in high-density, abundant in lymphocytes

  • Inner zone (medulla): consists of endodermal cells in less density and few amounts of lymphocytes

  • Red pulp: consists of reticular fibrous network containing large number of RBCs and macrophages

  • White pulp: resembles lymphoid nodules containing lymphoid cells

  • Marginal zone: bridging the innate and adaptive immune system

  • Capsule: made up of connective tissue

  • Cortex: consists of three functional areas, including outer-, inner-, and paracortex that surround medulla and highly abundant with activated antibody-secreting plasma cells

  • Large internal surface area consists of multiple crypts, including reticular crypt epithelium

  • Follicular GC, mantle zone, and extrafollicular area

  • M cells located in the squamous epithelium

Functions
  • Blood cells and platelets production in red bone marrow

  • B cell maturation

  • Lipid storage in yellow bone marrow

  • Proliferation and maturation of T lymphocytes

  • T cell selection

  • TCR gene rearrangement

  • Massive blood filtration

  • Old RBCs degeneration

  • iron for haemoglobin production

  • Antibody production

  • Lymph filtration

  • Barrier against infections

  • Maintaining body fluid level

  • Eliminating waste

  • Fighting infections through the aerodigestive tract

  • Lymphocytes and antibody production

Critical immune cell markers
  • CD4+CD45RA – memory CD4+ T cells

  • CD44+HLA-DR+ – memory CD8+ T cells

  • CD4+CD25+ – Treg cells

  • IL-17+CD4+ – Th17 cells

  • CD11c+ – dendritic cells

  • IL-2Rβ (CD122+) – natural killer T (NKT) cell

  • CXCR4/CXCL12 downregulation – neutrophils maintenance

  • CD14CD11b+HLA-DRdim – myeloid-derived suppressor cells

  • TCR+ (αβ or γδ) – peptide antigen binding

  • CD3+ – T cell co-receptor to induce cytotoxic T cells and helper T cells

  • CD4+ or CD8+ – MHC molecules binding

  • CD169+ – metallophilic macrophages

  • CD8+CD205+ – dendritic cells

  • CD8α+CD103+CD207+ – dendritic cells

  • CD8+ – Treg cells

  • IgD + IgM+CD19+CD27+ – memory B cells circulating in marginal zone

  • CCL5 – NKT cells

  • CD4+ – helper T cells

  • CD8+ – cytotoxic T cells

  • CCL19 and CCL21 – T cell activation

  • IL-6, CXCL12, and BAFF – plasma cells

  • CXCL13 and CXCR5 – GC zone

  • CXCR4 and CD83 – light zone and dark zone populations

  • CCL19 and CCL21 – T cell activation

  • IL-6, CXCL12, and BAFF – plasma cells

  • CXCL13 and CXCR5 – GC zone

  • CXCR4 and CD83 – light zone and dark zone populations

  • TLRs – innate immune response activation

Existing models
  • Human bone marrow (BM)-on-a-chip [70,71,100,101]

  • Human bone marrow organoids [102]

  • Natural organ scaffold-based human thymus [59]

  • Human thymic organoids [103]

  • Tissue-engineered artificial human thymus [104,105]

  • Human spleen on-on-a-chip [82]

  • Biomimetic microfluidic chip recapitulating human spleen [106]

  • Human spleen organoid units [107]

  • Human spleen organoids [35]

  • Human artificial lymph node (HuALN) bioreactor [108]

  • Human lymphoid follicle (LF)-on-a-chip [24]

  • Human lymph node organoids [35]

  • Human tonsil organoids [35]

  • Human tonsil epithelial organoids [109]

Physiological properties of existing models
  • BM-on-a-chip depicts the functional hematopoietic niche in vitro

  • Hematopoietic stem and progenitor cells retention in BM-on-a-chip

  • Bone marrow organoid demonstrates the interactions between bone marrow-stroma, lumen-forming sinusoids, and myeloid cells

  • Organ scaffold-based human thymus has anatomical phenocopy of thymus

  • Supporting mature T cell development post-transplantation

  • Thymic organoid-derived T cells exhibit mature naive phenotypes, a diverse T cell receptor (TCR) repertoire and TCR-dependent function

  • Generation of non-alloreactive antigen-specific T cells from artificial human thymus

  • Spleen-on-a-chip mimics two-compartment blood circulation of human spleen

  • Mechanical ability of RBCs to cross the human spleen

  • Spleen organoid demonstrates adaptive immune functions after being stimulated with particular antigens

  • HuALN enables long-term monitoring of cellular and humoral immune responses after antigenic stimulation

  • LF-on-a-chip exhibits germinal centre-like LF formation, improved antibody responses, and cytokine secretion

  • Lymph node organoid capable to deploy adaptive immune functions after antigen stimulation

  • Tonsil organoid exhibits adaptive immune features, including germinal centre formation, antibody maturation, somatic hypermutation, and class-switching

  • Tonsil epithelial organoid shows capability to initiate the innate immune responses after viral infections.

Challenging features
  • Prolong culture and maintenance of hematopoietic stem and progenitors in vitro

  • Distinct arteriolar, and sinusoidal endothelial subtypes are not present in bone marrow organoids.

  • Molecular mechanisms that guide cell-intrinsic properties in organ-based human thymus remain uncleared

  • Geometric organisation of artificial thymus needs to be further improved

  • Nuclear rheology and trafficking across microporous barriers in microfluidic device are not investigated yet

  • Cell compositions and tissue complexities in HuALN need to be improved

  • Immune cell responses toward commercial ECM gel (Matrigel) used in LF-on-a-chip is not well understood

  • T cell immunity is not well investigated in tonsil organoids

  • Morphological structures of tonsil organoids could be improved

  • Immune cell-ECM molecular mechanisms remain unelucidated in tonsil epithelial organoids

2.1. Primary lymphoid organs mimicking models

2.1.1. Thymus

As one of the primary lymphoid organs, thymus performs an essential task for the generation and maturation of T lymphocytes for the adaptive immune responses [50]. It spatially regulates T cell functions and development within the epithelial-mesenchymal tissue, while the T cell output is highly affected by age throughout the lifespan due to thymus involution with age [51]. The thymus structures are made up of particular stromal cells known as thymic epithelial cells (TECs), which are divided into cortical (cTEC) and medullar (mTEC) regions [52,53]. Both cTEC and mTEC subsets control the T cell selection process and localize the developing thymocytes for T cells efflux [54]. Another important transcription factor to maintain TEC functions is the autoimmune regulator (AIRE) protein, which is produced in mTECs to regulate tissue-restricted antigens (TRA) expression implicated in T cell processing [55].

Reflecting human T cell development in vitro and their fundamental role in immune defense would be insightful to overcome some medical conditions (e.g., congenital or acquired immune deficiency) related to the thymus functions. Numerous studies have demonstrated the phenotypic diversity of TECs and mediatory molecules that are crucial for T cell selection and maturation [[56], [57], [58]], which is believed to provide reliable concept for ex vivo thymus organ constructs. In 2020, Campinoti et al. reported the reconstruction of functional human thymus using cultivated epithelial-mesenchymal hybrid cells, thymic interstitial cells, and decellularized extracellular matrix (ECM). This natural thymic scaffold with unique 3D epithelial framework was generated by whole-organ decellularization using de novo organ perfusion approach. Their anatomical in vitro thymus model showed its functionality by the capability to support T cell development and maturation after being transplanted into humanized immunodeficient mice (Fig. 2A) [59]. Nevertheless, efforts to rebuild a functional thymus artifact have limited success so far, due to inherent organ complexity and uncertain postnatal mesenchymal- and epithelial progenitor cell fate. Humanized mice are powerful preclinical model for representing immune system and diseases, but they lack physiological properties of human thymus and thus, human T cells generated from mouse thymus are unable to engage with other human immune cell subsets and mount insufficient immune responses.

Fig. 2.

Fig. 2

Existing lymphoid organ models. (A) Functional repopulation of whole-organ human thymus scaffolds. Gross microscopic images of a thymus scaffold after stromal cells injection (top panel) and representative flow cytometry analysis of multicellular compositions from repopulated scaffold after 8 days in culture (below panel). Reproduced under terms of the CC-BY license [59]. Copyright 2020, Nature Portfolio. (B) The design of human bone marrow-on-a-chip consisting of (i) co-culturing concept between perivascular- and vascularized endosteal bone marrow niche, (ii) an illustration of 5-channel microfluidic device and (iii) 96-well plate layout of human bone marrow-on-a-chip. In Fig. 2B(ii), mesenchymal stem cells (MSCs) are differentiated for 21 days in the central channel of the device to generate endosteal layer, followed with human umbilical vein endothelial cells (HUVECs), MSCs, and HSPCs being loaded on top of the endosteal layer and vasculogenesis occurs within 5 days to form the human bone marrow-on-a-chip. Reproduced with permission [72]. Copyright 2021, Elsevier. (C) Schematic diagram of spleen-on-a-chip platform containing macrophage rich zones (M-chip) and splenic inter-endothelial slits (IES) in the wall of sinuses (S-chip) to mimic splenic filtration of altered RBCs. Reproduced under terms of the CC-BY license [83]. Copyright 2023, The Proceedings of the National Academy of Sciences. (D) Lymph node model in vitro. (i) Schematic illustration representing human native lymph node and (ii) requirements and compartmentalization for biomimetic lymph node-on-chip. Reproduced under terms of the CC-BY license [91]. Copyright 2021, Frontiers.

2.1.2. Bone marrow

Bone marrow is a central lymphoid organ owing to its pivotal responsibility in producing and maintaining immune cells in an antigen-independent manner. Bone marrow significantly contributes to the regulatory immune system by providing the microenvironmental framework for lymphocyte development. It is equivalent to the thymus for T cell development as bone marrow is essential for generation and maturation of B lymphocytes [[60], [61], [62]]. HSC-derived B cells are developed in bone marrow preceding their egression to secondary lymphoid organs and thus, it is responsible for humoral immune responses and maintaining long immunity [63,64]. Bone marrow is an antigen-free niche for the activated state of T lymphocytes, and it is where recruitment and retention of central memory T cells occur [65,66]. Dendritic cells (DCs) population in the bone marrow are able to evoke central memory T cell-mediated immune responses via interactions with tumour-associated antigens and thus hold essential functions in adaptive immunity [67,68]. Bone marrow is also a harbour for NK progenitor cells, due to its commitment to hematopoietic stem cells [69]. Altogether, bone marrow is not only a major hematopoietic organ, but also a primary human regulatory organ enabling fine-tuning of immunity.

A study has been reported to mimic physiological characteristics and functions of bone marrow throughout engineering approach, such as bone marrow-on-a-chip reconstruction. Torizawa et al. pioneered a method to fabricate bone marrow-on-a-chip, which recapitulates cellular diversity and complex biological functions of intact bone marrow microenvironment with its relevance to hematopoietic niches [70]. This engineered bone marrow enabled autonomous production of growth factors necessary to maintain the functions of hematopoietic system in vitro, which was advantageous over existing culture systems that require expensive growth supplements. Their proof of concept was only demonstrated in mouse model, implying that further studies are essential for human bone marrow explorations. Latterly, a vascularized human bone marrow-on-a-chip recapitulating key aspects of haematopoiesis as well as bone marrow dysfunctions has been established by the same research group [71].

In 2021, microfluidic human bone marrow-on-a-chip incorporating the endosteal, central marrow, and perivascular niches was developed in 96-well format (Fig. 2B) [72]. It exhibited complex, high-throughput, multi-niche microtissue that resembles human bone marrow composition and micro-physiological system, including maintenance of CD34+ HSCs. Although these on-chip modelling can overcome some limitations in animal study, they still cannot completely reorchestrate the 3D structures correspond to the native organ and thus, there is high possibility for some physiological and morphological functions remain absence in microfluidic settings.

2.2. Secondary lymphoid organs mimicking models

2.2.1. Spleen

Spleen is a secondary lymphoid organ that hosts a massive blood-filtering process with its critical roles in the functional immune system [73,74]. Spleen tissues are divided into the white and red pulp with marginal- or perifollicular zone between the two regions. Red pulp region is associated with blood filtration and removal of aged RBCs [75]. Additionally, red pulp is crucial for fighting against bacteria and blood-borne pathogens due in part to the high variety of residing leukocytes including monocytes, neutrophils, DCs, macrophages, and lymphocytes [[76], [77], [78]]. The splenic white pulp is considered to have primary immunological functions of the spleen, due to compartmentalization of B and T cells during germinal centre (GC) response that is analogous to the lymph node structure. Given the unique physical organization and composition of the spleen, it possesses notable roles in guiding the innate and adaptive immunity respectively [73,[78], [79], [80]].

Traditional methods of studying the spleen have been limited to post-mortem analyses or animal models, which often fail to accurately represent human physiology. In vitro spleen modelling represents a significant advancement in understanding the organ function, particularly in relation to diseases such as malaria and sickle cell disease. James et al. pioneered the spleen modelling using precision-cut tissue slice of human spleen [81]. Spleen tissue slices were able to preserve ECM configuration including certain homologous and heterologous associations found in real tissue niche. Their findings marked the differences between tissue slices and cell suspensions, in which the spleen tissue slices secreted higher levels of immunoglobulin and cytokines (e.g., IL-1β, IL-6, IL-8, and IL-11) rather than splenocytes culture. The increase of cytokine production in tissue slices can be due to the direct interaction between stromal cells and B cells, which is crucial for mediating important signals necessary for cytokine secretion. Nevertheless, tissue slices cannot be retained for long-term culture (>4 days), which hinders its potential for immunological investigations, such as identification the mode of action of new immunomodulatory compounds.

A study by Rigat et al. focused on replicating the human spleen's complex blood filtration and pathological functions through a precise controlled micro-engineered device [82]. It consisted of (1) two microfluidic channels to mimic the closed-fast and open-slow microcirculation that maintained a physiological flow division, (2) pillar matrix to augment haematocrit and emulated the spleen's reticular meshwork, and (3) micro-constrictions incorporation to replicate the inter-endothelial slits (IES) of the spleen, which was crucial for the organ's filtration process. Another recent work demonstrated a microfluidic system to depict the retention and elimination of RBCs in human spleen (Fig. 2C) [83]. It comprised two modules called "S chip" that mimicked the function of micro-slits between the cells to filter blood, and "M chip" that recapitulated the behaviour of macrophages. The S chip module revealed that both shape and mechanical properties of RBCs influence their retention especially under deoxygenated conditions. Meanwhile, the M chip module showed that macrophages need longer time to digest stiff sickled RBCs and thus slowing the clearing of clogs at low oxygen levels. These findings highlight the importance of a homeostatic balance between retaining and eliminating RBCs in the spleen. Although the spleen-on-a-chip model provides valuable insights into disease treatment and prevention, micro-engineering approach is still far from the in vivo 3D microenvironment of spleen, which indicates that some physiological characteristics might be diminished upon the system.

2.2.2. Lymph node

One of the specialized tissues important for the immune microenvironment is the lymph node (LN), which provide immunological venues for the crosstalk between various lymphoid cells following the antigen exposure [[84], [85], [86], [87]]. The LNs usually form clusters in certain area of the body and are interconnected through the lymphatic vessels (LVs) that facilitate lymphatic fluids (lymph) filtering and draining in the circulatory system [88]. Stromal cell subsets in LN has distinct roles in enforcing immunological response, albeit they combine to support the primary function of LNs — that is to fight pathogens in the lymph and return the filtered fluids into bloodstream [89]. Fibroblastic reticular cells (FRCs) is the most heterogeneous stromal cell populations and located in T-cell zone, which have multifunctional features and systemic activity that are critical for the LN microstructural homeostasis alongside the propagation of adaptive immunity in LNs [90].

Engineering human LN model is innovative in vitro system to study its complex physiological and pathological processes in a controlled environment. For instance, lymph node-on-a-chip demonstrated dynamic conditions by using peristaltic pumps to facilitate active fluidic perfusion, including the transport of chemokines and other cell markers to induce cellular cross-talk (Fig. 2D) [91]. The use of primary cells is another important aspect in creating LN model as the immortalized cell lines fail to fully replicate humoral immunity in which naïve B cells need to proliferate, differentiate and become antibody secreting cell. However, primary LN cells are restricted due to low availability of tissue donors. Moreover, designing a biomimetic LN model that can effectively facilitate the co-culture and spatial arrangement of multiple cell types (e.g., B and T cells, DCs, and stromal cells) emulating structural organization in the native organ still remains challenging.

2.2.3. Tonsils

Tonsils are a set of secondary immune organs located in the pharynx and collectively known as one of the mucosa-associated lymphoid tissues [92]. These organs act as the primary site for immune protection against inhaled and ingested germs at the upper aerodigestive tract [93,94]. Palatine tonsils are considered the most easily accessible human lymphoid organ for wide immunological studies. They prominently influence tonsillar immunity since the tonsils comprise approximately 65 % of B cells, 30 % of CD3+ T cells, and 5 % of macrophages [95]. Either cellular or humoral immunological mechanisms are initiated in their different compartments (e.g., crypts, lymphoid follicles, and extrafollicular region). Moreover, the architecture of tonsils including GC in B cell follicles and extrafollicular T-cell-enriched area resembles the particular structure in LN, regardless of their lack of afferent lymphatic vessels.

Although tonsil tissues are relatively accessible, their exploration for immuno-engineering research is still minimum. Majority of tonsil studies are achieved with fresh tonsil tissue slices or ex vivo culture. For example, human tonsillar tissue block has been successfully cultured up to 4 days to investigate immune cell behaviours within their niche. Tissue block culture showed less activated T cells to express CD95 and exhibited contrasting constitutive cytokine gene expression patterns compared to the autologous tonsillar cell suspension cultures [96]. Another study reported the use of tonsil explant culture to reveal the cell-cell and cell-pathogen interactions. Tissue blocks maintain their cytoarchitecture that play the role in productive infections of pathogens without exogenous stimulation [97]. This ex vivo modelling system is widely applicable to investigate microbial and histological profile of patient-derived tonsil tissues, including their susceptibility toward viruses [98,99]. Nevertheless, live tonsil tissue slice can only be retained within a short period of time and contamination is highly likely occurred in this culture setting. Bioengineering approach can be promising to enhance the use of tonsils for immunological studies.

3. Modelling human adaptive immune system with in vitro organoid models

In the earlier section, we described the advantages of organoid technology including high accessibility, robustness, and larger quantity of material provision as compared to the use of animals. In this section, we elaborate on the use of organoids for modelling human immunological responses. Organoid technologies have emerged as a sophisticated physiological model system for various research areas, exceptionally in the field of immunology. The relevance of organoid technology for translational immunological research can be summarized through a SWOT analysis (Table 3). The SWOT table is helpful to assess multiple aspects and scientific parameters in the progress of immune organoids, particularly on how they could address the biological- and clinical issues. As an example, tonsil organoid culture was firstly reported as a groundbreaking technology to study human immunological aspects in ex vivo manner [35]. Tonsil organoid successfully tackled the difficulties to carry out the adaptive immune responses that is primarily related to B cell immunity. Meanwhile, the innate and cellular immune responses in tonsil organoids remain unresolved and thus, it could be the opportunities for further explorations.

Table 3.

The SWOT analysis of organoid technology.

SWOT ANALYSIS
STRENGTH WEAKNESS

Biological relevance: Organoids closely mimic organs, enhancing physiological accuracy compared to traditional cell cultures. Standardization challenge: Organoid cultures are complex and variable, hindering standardization.
Disease modelling: Organoids enable in vitro disease study and treatment testing. Functional complexity limitation: Organoids mimic organ aspects but may not fully replicate functional complexity, especially aging effects.
Personalized medicine: Patient-derived organoids facilitate tailored drug testing and treatment optimization. Technical expertise requirement: Establishing and maintaining organoid cultures demands specialized skills, limiting widespread adoption.
Reduced animal reliance: Organoids offer an ethical alternative to animal models, potentially decreasing animal testing. Cost and resource intensity: Organoid technology is resource-intensive, requiring specialized equipment and personnel.
High-throughput screening: Organoid technology allows simultaneous testing of multiple drugs or conditions.
OPPORTUNITIES THREATS

Drug discovery and development: Organoids enhance preclinical drug testing, potentially reducing clinical trial failures. Competing technologies: Emerging alternatives pose a competitive threat to organoid technology.
Regenerative medicine: Organoids show promise for organ transplantation and tissue repair. Regulatory hurdles: Adaptation of regulatory frameworks is needed for organoid technology.
Collaboration with industry: Partnering with pharmaceutical and biotech industries accelerates organoid research translation. Limited funding: Funding constraints may hinder organoid technology research.
Technological advancements: Ongoing innovations like microfabrication and bioengineering improve organoid capabilities and reproducibility. Public perception: Acceptance of organoid technology, especially with human-derived materials, influences adoption.
Expansion of applications: Continuous research uncovers new organoid technology applications, extending its use.

Self-organizing organoids can reflect structural properties and physiological characteristics of their respective parent organs, making them highly relevant for human disease and pathophysiological studies. Recent works found that human autologous tissue-derived organoid/immune cell co-culture was favourable as in vitro models to modelling the diseases and to evaluate the efficacy of drugs or personalized clinical treatment [[110], [111], [112], [113], [114], [115]]. For instance, the immunosuppressive function of polymorphonuclear myeloid-derived suppressor cells toward cytotoxic T lymphocytes was revealed through the crosstalk between patient-derived pancreatic cancer organoids and co-cultured CD8+ T cells that were activated by the autologous DCs — indicating scientific rationale to the inefficient cancer immunotherapy [116]. Santos et al. recently reported air-liquid interface duodenal organoids from intact tissue biopsies that preserve epithelium with native mesenchyme and tissue-resident immune cells to model an autoimmune disease [117]. Another review discussed the potential of patient-derived cancer organoids (PDOs) to recapitulate the tumour microenvironment that is antithetical to normal immune functions to provide insights into cancer immunobiology [118]. Unfortunately, all these studies only provided 2D immune cellular environment in organoid surroundings, which might be inadequate to reflect the actual architectural and functional complexity of innate and adaptive immune systems. Building bioengineered lymphoid organoids will enable more advanced immunological investigations.

In terms of microarchitectural intricacy and physiological functions, lymphoid organoids possess superior biological attributes than conventional monolayer immune cell culture. Nevertheless, human immune organoid development is still a nascent field compared to other types of organoid generation (e.g., brain, kidney, liver), and thus researchers pioneered this study by initially using animal-derived lymphoid organ to generate immune organoid models. Numerous studies revealed successes in establishing mouse-derived immune organoids, such as immuno-engineered organoids with encapsulated naïve murine B cells and 40LB stromal cells that resembled GC-like phenotype of lymphoid tissue with an almost tenfold increase of GC B cells production compared to the 2D cell culture [33]. This increase in efficiency allows for more robust and reliable studies on the immune system, facilitating a better understanding of immune cell dynamics and responses. The other lymphoid organoids generated from mouse LN stromal progenitors and decellularized extracellular matrix (ECM) scaffold are useful in restoring lymphatic drainage and immune tissue functions after LNs surgical resection [34]. Animal-derived lymphoid organoids may closely mimic the physiological conditions of the in vivo microenvironment and provide similar representation of the organ functions with a simplistic manner. However, although mouse models have become a cornerstone for pathophysiological investigations, their transcriptional responses still poorly reflect human diseases and immunological behaviours [119]. This indicates that animal-based immune organoids might not be proper for human disease modelling and drug testing.

While human-derived immune organoids have not been extensively reported, they are favourable alternative animal models to further understanding of the human adaptive immunity. The latest breakthrough emanates from a development of human tonsil organoids that replicates key immunological features in vitro, including antigen-specific adaptive immune reactions upon live attenuated influenza vaccination [35]. The finding demonstrated the capability to build up human-based immune organoids as an innovative in vitro model that could accelerate studies on human immunological aspects. For example, the human complex immune environment is currently more accessible through lab-scale immune organoids, which have better physiological relevance than even transgenic, humanized animal models. Interaction between immune organoids and other organoid types also could be an excellent ex vivo approach to study events from cancer metastasis to tissue crosstalk and homeostasis (Fig. 3).

Fig. 3.

Fig. 3

Overview of the currently established human immune organoid generation methods, including (A) cell co-culturing system, (B) conventional direct cell culture in tissue culture dish, (C) disposable bioreactor system, and (D) Hydrogel scaffolds embedding method. Figure C is reproduced with permission [108]. Copyright 2010, Elsevier.

3.1. Bone marrow organoid

The bone marrow holds profound significance in the human body as a primary site for the production and regulation of hematopoietic cells, which are vital for oxygen transport, immune defense, and blood clotting. It also serves as a critical component of the immune system, housing immune cells and contributing to immune responses. Moreover, it plays a key role in various diseases, including haematological malignancies and autoimmune disorders. A long-standing need for human bone marrow modelling system for translational studies has been overcome through recent progress in organoid research.

Recently, Khan et al. successfully established a direct differentiation protocol for generating a novel 3D organoid model using human induced pluripotent stem cells (iPSCs) that mimics the human bone marrow microenvironment, thus offering a versatile platform for studying haematopoiesis, haematological diseases, and drug development to reduce the reliance on animal models [102]. The iPSCs initially formed non-adherent mesodermal aggregates, followed by commitment to vascular and hematopoietic lineages. These cell aggregates were embedded in collagen-Matrigel hydrogels to induce vascular sprouting and these organoids were observed to have vascularization resembling the native bone marrow, with intricate networks of HSPCs, megakaryocytes, and erythroid cells closely mirroring the bone marrow architecture. Single-cell RNA sequencing found that the hematopoietic and stromal cell lineages within organoids had transcriptional similarity to human hematopoietic tissues.

The above study also explored the impact of adding vascular endothelial growth factor C (VEGF-C) to the differentiation protocol and identified changes in the transcriptional phenotype of the vasculature within the organoids, including increased expression of bone marrow sinusoidal endothelial markers and upregulated signalling pathways like TGFβ-1 and CXCL12. These findings suggest that the communication networks within these organoids recapitulate key regulatory interactions in adult bone marrow. To this end, the researchers explored the potential of bone marrow organoids to support the engraftment of primary cells from patients with haematological malignancies, offering a platform for modelling interactions between cancer cells and the stromal microenvironment. These bone marrow organoids thus offer a way to investigate the cross talk that takes place in healthy haematopoiesis and how disruptions in these interactions can contribute to the development and advancement of cancers.

3.2. Thymic organoid

Bioengineering of thymus architectures has gained a lot of interest although this is still in its early developmental stages. An in vitro thymus model called artificial thymus organoids was developed using murine thymic cells dissociation that can resemble T cell selection through co-culture with fibroblasts (e.g., mesenchymal stromal cells or mouse embryonic fibroblast) under organ culture conditions. Early stages of thymopoiesis are associated with both mesenchyme and MHC class II-positive epithelium requirement, while later developmental and maturation stages can be supported by epithelial cells alone. From this study, both mesenchymal and MHC class II-positive epithelial cells were found to play roles in stage-specific T cell development, in which T cell precursors (TCRCD4CD8) would turn into positive cells (TCR+ with CD4+ and/or CD8+) [120].

Another research progress has been made to facilitate in vitro human thymic modelling with its robustness to overcome some drawbacks from animal studies. For the first time, artificial thymic organoids consisting of mature T cells were successfully established from human hematopoietic stem and progenitor cells (HSPCs) under serum-free culture conditions. Instead of using primary thymic cells, mouse DLL1-transduced stromal cell lines were used to support human thymocyte development (Fig. 3A). The organoid was formed upon stromal cells aggregation with HSPCs by centrifugation and seeded on a cell culture insert at the air-liquid interface. The results demonstrated that positive selection of T cells was enhanced in thymic organoids, suggesting the ability of 3D cellular architectures to accelerate T cell precursors and specific ligands interactions.

The TECs were absent in thymic organoids and thus positive selection of CD4 single-positive cells was achieved through MHC class II presented by dendritic cells residing in organoid, while CD8 single-positive cells were selectively processed via MHC I ligand presented by HSPCs. This organoid system also can be used to develop stem cell-based TCR-engineered T cells for immunotherapeutic potential [103]. However, further attempts to induce TEC growth in thymic organoids and to overcome the challenge of HLA diversity would be essential for better modelling of real thymus organ. HLA antigens are important molecules located on the cell surface that play a critical part in the immune responses to foreign substances. The clinical significance of HLA antigens is relating to transplant rejection due to their variability from person to person [121]. Therefore, HLA polymorphisms is another important area of research that is inseparable with translational study of human diseases and immune defense.

Numerous works about generating functional TECs from pluripotent stem cells (e.g., human embryonic stem cells) have been reported [122,123]. Another recent advancement in stem cell technology has led to the generation of patient-derived TECs from multiple iPSCs to solve the thymus donor shortage. Different somatic cell sources were used for iPSCs reprogramming, such as cord-blood-derived peripheral blood mononuclear cells and neonatal dermal fibroblasts. After being successfully reprogrammed, the iPSCs gave rise to thymic epithelial progenitor cells through a direct differentiation protocol, followed by further differentiation into functional TECs during transplantation on athymic immunocompromised mice. Although the different expression level of FOXN1 in thymic differentiation stages was observed due to distinct iPSC lines, the thymic epithelial progenitor graft still interacted well with developing T cells to become mature into TECs in the absence of mesenchymal cells [124]. Overall, this finding could bridge the gap between stem cells and immunology either by allowing the possibility for stem cell-derived immune organoid culture or by improving current established thymic organoid protocol with stem cell-based approach. This will be favourable to reducing primary tissue acquirement and also provide patient-specific thymus model for improvement in cell replacement therapies.

3.3. Tonsil organoid

Taking advantages from high availability of human tonsils after tonsillectomy, an immune organoid was successfully developed from this lymphoid organ using cellular reaggregation method as described by Wagar and co-workers (Fig. 3B). This is the first attempt to establish human immune organoid that recapitulates adaptive immune features. Briefly, the cryopreserved single-cell dissociation of tonsil tissues was thawed and grown at high density along with an antigen of interest. Reaggregated cultures referred to as tonsil organoids were visible after 2–3 days of cultivation period and followed with subsequent analyses in the presence or absence of antigen. Live attenuated influenza vaccine (LAIV) was selected as testing antigen to reveal organoid features toward human influenza. The LAIV-stimulated group showed apparent increases in B cell function and maturation as reflected by significantly higher plasmablast frequencies compared to unstimulated organoids (controls). More importantly, this in vitro model exhibited antibody class switching, affinity maturation, and antigen-specific somatic hypermutation of human B lymphocytes. The ability of tonsil organoid system to detect human immune responses variability was further evaluated, which is useful to broaden vaccine development [35]. In fact, the presence of lymphoid stromal cells in tonsil organoids have not investigated yet, while they play crucial role for immune responses. This tonsil organoid model also lacks reproducible sizes and shapes due to spontaneous cell reaggregation method, making it difficult for vaccines or drugs screening applications. Current organoid culture technique will be challenging for an industrial scale-up purpose, and thus there should be technical improvement to overcome the aforementioned drawbacks of tonsil organoid model.

Another most recent approach to generate tonsil organoids is through matrix encapsulation (Fig. 3D). The organoid was cultured from tonsil epithelial-derived cells under confined ECM microenvironment (Matrigel). The organoid formation was successfully generated as well as its expansion capability after subsequent optimisations of culture conditions. In terms of immune responsiveness, it was suppressed due to the IL-2 signalling and antigen-activated B-cell receptor downregulation caused by tonsil organoids differentiation tendency to epithelial cells rather than immune cells. Based on the data for their functional study, tonsil epithelial organoids activated their innate immunity when exposed with TLR4-stimulating pathogen-associated molecular pattern or lipopolysaccharide as same as tonsil tissues. Both molecular and morphological features of tonsil epithelial organoids were further compared to their native tissues in order to evaluate their utility as an ex vivo studies for SARS-CoV-2 infection. Remarkably, the angiotensin-converting enzyme 2, transmembrane serine protease 2, and Furin were found to be expressed in tonsil epithelial organoids, suggesting that they were susceptible to SARS-CoV-2 [109]. Thus, it is desirable to use this approach as an antiviral drug screening platform and to alternate animal models in therapeutic drug efficacy testing. However, due to bias differentiation into epithelial cell lineage other than immune cell types, this tonsil organoid model did not represent adaptive immune mechanism. The crosstalk between tonsillar immune organoids, tonsil epithelial organoids, and infectious agents might be helpful to provide comprehensive investigations of host defense mechanism towards innate and adaptive immune system, including strategies to counteract host immunity.

3.4. Lymph nodes organoid

Lymph node (LN) development holds critical roles in promoting adaptive immunity, in which the process is correlating to cell-cell communications and cell-ECM microenvironment interactions [125]. The LN damage or injury due to infections or specific medical treatment (e.g., surgical resection or radiotherapy) affect immune functions and disease progression. There have been numerous studies that employ tissue engineering strategies to create artificial LN tissues. For instance, functional synthetic lympho-organoid has been generated from major constituents of secondary lymphoid organ. It consists of mouse LN stromal progenitor cells and physiological ECM scaffold obtained from decellularization of monolayer spleen stromal cell line [34]. The lympho-organoid structures were compact the same manner as native LN architecture and also supported vascularization and infiltration in the tissue graft. Incredibly, transplantation of lympho-organoid in mice at the site of resected LN showed regeneration of lymphatic and immune responses, indicating that this preclinical study could be a robust approach for organoid-based regenerative therapy. However, more investigations are needed to fill critical gaps between laboratory animal grafting and human physiological system as some immunobiological aspects in humans including somatic hypermutation, antibody affinity maturation, and class-switching are not found in mouse.

Bioengineering approach attempting to remodel lymphoid tissue-like structures in bioreactors, so-called human artificial LN mini-organoid has been reported as well (Fig. 3C) [108]. Specifically, the organoid formation relied on co-culturing human peripheral blood mononuclear cell-derived lymphocytes and mature DCs using two types of disposable perfusion bioreactor platforms (HIRIS™ III and IG-Device™) that could imitate the physiological environment of immune responses in vitro. Commercial hepatitis A vaccine and cytomegalovirus were chosen as the antigen of interest as the selected human donors were seronegative for Hepatitis A- or CMV-infection. Immunosuppressive effects were subsequently investigated by exposing the organoid culture with 1 μM of dexamethasone. Immunological testing in this LN organoid were carried out through subsequent analysis, including cytokine secretion patterns that correspond to early humoral responses, and immunohistochemical staining of organoid-containing matrix sheets to visualize organoid morphology.

The above work demonstrated that immune responses from LN organoid were monitored through several cytokines release and antigen-specific antibody (IgM) production, while the immunosuppressive drug testing was effective to reduce cytokines production, especially pro-inflammatory cytokine. Recently, researchers have also demonstrated the utility of this model for studying immune responses and drug reactions, particularly in testing glycoprotein vaccines and investigating the immunogenicity of protein aggregates from antibodies like bevacizumab and adalimumab under varying stress conditions [126]. Taken together, this organoid model provides great insight on immuno-modulation substances in dynamic culture conditions. This bioreactor system is also scalable for high-throughput testing. In fact, the complex and costly setup would be another challenge to utilise this bioreactor approach for organoid manufacturing. Further improvements are also necessary to perfectly mimic the corresponding organ as the stromal cell environment was missing, while it plays the role in lymphocytes homing and segregation, modulating the balance steady-state and inflammation, antibody class-switching, and affinity maturation [127].

Using similar protocol to generate human tonsil organoids, Wagar et al. also made attempt to establish comparable human LN organoids [35]. The LN organoids elicited GC-like structures that further led to plasma cell differentiation and antigen-priming ability to naïve antigen up to this point. However, they fell short of demonstrating some other immunological parameters that were carried out in tonsil organoids (e.g., somatic hypermutation and antibody affinity maturation). The LN organoid characterisations were accomplished only for justifying the proof-of-concept. Moreover, none of the other published reports has explained the explorations of human LN organoid culture yet, probably due to some ethical issues or limited access to the LN primary tissue samples. Despite the aforementioned concerns, further studies are still encouraged to overcome challenges in utilizing ex vivo human lymphoid-derived organoids, including LN organoids, as it will be worthy to substitute animal studies for revealing the entire human immunological features.

3.5. Spleen organoid

Spleen abnormality usually leads to either partial or complete splenectomy that is taken to prevent life-threatening haemorrhage. Complete absence of the spleen could trigger post-splenectomy risks, including immune homeostasis alteration that increases the susceptibility of patients to other infections (e.g., pneumonia, venous thromboembolism, pancreatitis) [128]. Tissue engineering development is a useful approach to restore splenic function post splenectomies as well as explore spleen immune features ex vivo. Purwada et al. engineered organoids from murine spleen through co-culture system between mouse spleen-derived B cells and transgenic 40LB stromal cell line [32,33]. These cells were further encapsulated in gelatin hydrogel incorporated with silica nanoparticles that enable the tuning of stiffness, architecture, and porosity of the scaffold to resemble native lymphoid microenvironment. The hydrogel approach also helps in maintaining organoid size and shape, which is important for a high-throughput system. This ex vivo immune organoid showed potential to overcome the limitations of 2D tissue-culture plate systems and animal models owing to its ability to recapitulate key immunological events such as GC-like reactions, differentiation of B cells, and antibody class switching. In fact, current organoid system still has limitations in antigen-specific antibody production, affinity maturation, and dark- and light zone formation in the GC-like structures. Although the organoid culture was using hydrogel polymer to achieve a Matrigel-free system, the origin of organoid source still raised a concern as it is primarily derived from murine, indicating the difficulty to carry out this study for further translational medicine. Hydrogel scaffold functional fabrication could also be complicated and its degradation properties is another concern as it might hinder the possibility of long-term organoid culture.

Another effort to build tissue-engineered spleen with more relevance to human organ has been reported (Fig. 3D) [107]. Human spleen specimens were obtained from 7 to 12-year-old patients, which further undergo subsequent downstream processing to generate proliferative spleen organoid units. Based on characterisation results, the spleen organoid units exhibited some expressions of CD4 and CD11c markers corresponding to T cells and dendritic cells, along with Lamin-positive cells. These phenomena are found to be identical to the stained human spleen regardless of its quantity expression level. The ability of human tissue-engineered spleen organoids to solve functional issues after splenectomy was further investigated. Interestingly, they recapitulated rudimentary spleen architecture after implantation in asplenic mouse and restored the damaged red blood cells within 1 month. However, some immunological aspects are not elucidated in this model such as T cell subsets characterisation, whereas the native splenic architecture leads to the functioning of cellular initiators and effectors for adaptive immune surveillance. Further evaluation must be conducted for better understanding of immune responses in organoid model, which will be beneficial for future clinical translation in the patient.

4. Assays to evaluate immune organoid functions, morphology, and compatibility for clinical applications

Organoid analysis has great importance to precisely evaluate their characteristics and functions to use them as translational models. Fig. 4 illustrates immune organoid readouts that are critical for assessing critical biological attributes on immune organoids, such as (1) analysing organoid multicellular diversity and phenotypic changes at the genomic and transcriptomic level using quantitative polymerase chain reaction (qPCR), DNA microarray, cytometry time-of-flight (CyTOF), and bulk- or single-cell RNA sequencing, (2) revealing key surface markers, metabolic functions, and protein secretions in organoid using enzyme-linked immunosorbent assay (ELISA), flow cytometry analysis, western blotting, and protein microarray, and (3) visualizing both physiological and morphological properties of the organoid throughout immunofluorescence or histochemical staining. Making use of these assays, we also compare the two main characteristics – stem cell-derived and ex vivo donor tissue – to generate organoids in Table 4.

Fig. 4.

Fig. 4

Various characterization methods and readouts to evaluate immune organoids. (A) Antibody class-switching and somatic hypermutation analysis to check antibody responses representing physiological functions of immune organoids. Reproduced with permission [134]. Copyright 2019, Elsevier. (B) Multicellular composition and diversity in organoids can be revealed throughout multi-omics analysis. The UMAP projection data was reproduced under terms of the CC-BY license [129]. Copyright 2024, Elsevier. (C) Cytokine release assays could represent the metabolic functions of immune organoids. Reproduced under terms of the CC-BY license [135]. Copyright 2013, MDPI. (D) Histological-, immunohistochemistry-, and immunofluorescence staining are useful to analyse organoid morphological structures that closely resemble its native organ architecture. The immunofluorescence images showing GC formation in the presence of PDPN+ FRCs of palatine tonsils was reproduced under terms of the CC-BY license [136]. Inset histochemical- and immunofluorescence staining images within illustrative figure (centre) were reproduced with permission [109]. Copyright 2022, Elsevier.

Table 4.

Organoid cell sources and characteristics.

Pluripotent stem cells Human adult stem cells Primary tissue cells
Advantages
  • Two types: embryonic stem cells and induced pluripotent stem cells

  • Readily available in large amount

  • Multiple lineage differentiation and unlimited proliferation

  • Derived from tissue-specific stem cells

  • Homogeneous and well-defined cell properties

  • Derived from post-processing of tissue biopsy

  • Contain all necessary cells for organoid

  • Highly complex organoid culture – intentionally heterogeneous

Disadvantages
  • Uncontrollable cellular heterogeneity

  • The possibility of off-target cell growth

  • Low maturation level

  • Risk of genetic instability

  • Less heterogeneity

  • Limited potential in differentiation

  • Slower proliferation rate

  • Donor-to-donor variations

  • Limited lifespan

4.1. Physiological characteristics

It is critical to validate physiological relevance of immune organoids corresponding to their tissue origin (Fig. 4A). Gene expression analyses could reflect the organoid phenotypes and functions as it provides information of thousands of genes that encode proteins relating to cell physiological status. Multicellular compositions, cell-cell interactions, and representative cell type markers in organoid can be elucidated throughout biomolecular techniques. PCR method can detect the up- or down-regulation of few target genes in organoid, while RNA sequencing is more powerful to discover the whole genetic profiles and it provides greater sensitivity to reveal novel genes in high throughput performance compared to qPCR technologies. For this reason, either bulk- or single-cell RNA sequencing are preferable to organoid research, while qPCR analysis is typically used to validate expressions of target genes.

As an example, Seet et al. performed the deep bulk RNA sequencing to confirm physiological TCR clonotype diversity in human thymic organoids. The encoded sequences of TCR Vα and Vβ complementarity-determining region 3 (CDR3) in thymic organoid-derived CD3+TCR-αβ+CD8+ single-positive T cells was compared to both thymic and peripheral blood naïve CD8 single-positive T cell sequences, in which the results showed the comparable TCR diversity and functions of the organoid to the corresponding human thymus [103]. In addition, single-cell RNA sequencing was done to exhibit the GC-phenotype (CD38+CD27+) B cells in tonsil organoid. The data proved that the organoid cultures have similar transcriptional profiles within different time points. Both single-cell and bulk BCR sequencing were also obtained from LAIV-stimulated organoid cultures to investigate the diversity and affinity maturation of BCRs as both parameters are important for antibody responses. The hemagglutinin-specific BCRs were diverse in both gene and isotype level based on single-cell RNA sequencing, while the bulk sequencing of total non-naïve B cells explained how the antibody class-switching with some mutations were occurred during organoid cultures. The activation-induced cytidine deaminase (AID) assay also helps to confirm the somatic hypermutation and class-switching process in stimulated tonsil organoid as the AID molecule is highly expressed in GC centroblasts to initiate hypermutation of the immunoglobulin genes [35].

Revealing the multicellular types and diversity in organoid is also important along with their physiological characteristics (Fig. 4B). In 2022, the cell Atlas of human tonsil based on five different data modalities (transcriptome, epigenome, proteome, adaptive immune repertoire, and spatial arrangement) was reported [129]. This could be great reference to reveal the multicellular diversity and physiological similarity between tonsil organoid and its native organ in terms of immunological behaviours, i.e., how CD4 T follicular helper cells assist the B cells to initiate GC formation in organoids, immune landscape of CD8 and innate lymphoid cells when the organoid encounters antigen, and various B cell responses including B cell activation, GC dynamics, antibody class-switching, somatic hypermutation, plasma cell differentiation, and cell identity regulation in organoids. In the case of tonsil epithelial organoid generation, the genetic similarities study between native tissues and organoid was accomplished with DNA microarray analysis. The results suggested that overall gene expression in tonsil organoids overlapped with corresponding tissues, even some up- and down-regulated genes were mapped during SARS-CoV-2 infection and antiviral drug exposure upon the organoids.

Overall, single-cell transcriptomic analyses can meet multifarious parameters and functions in organoid, but the other research gap still remains as a challenge. For example, the samples need to be dissociated into single cells prior to the single-cell analysis, while these steps would eliminate cell-cell and cell-ECM interactions within the organoids that supposed to be critical in morphogenetic studies. The spatial transcriptomics method can tackle this issue, but it is relatively cost-consuming and thus it is not yet widely applied for organoid fields. However, some organoid studies showed promising results using spatial transcriptomic analysis, i.e., the use of spatial transcriptomics to investigate whether endometrial organoids resemble physiological pathways in vivo after hormonal treatment [130]. Flex et al. reported the use of spatial expression map and accessible chromatin landscape together with existing atlas data of developing brain to resolve characterization of organoid brain region [131]. Using spatial transcriptomics to understand the heterogeneity observed within immune organoids could be one of the great interests for their research progress. Therefore, the efforts to apply transcriptomic analysis in more effective manners are promising for its future research direction.

4.2. Metabolic functions

It is vital to quantify the levels of proteins that play key roles in metabolic activities and secretions (e.g., cytokine release) which influence organoid functions (Fig. 4C). Flow cytometry and ELISA methods are common techniques to detect protein expressions in biological samples. Cell counting, sorting, and determining cell characteristics and functions at the single-cell level can be acquired through flow cytometric analysis and thus it is a powerful method to analyse mixed cell populations in immune organoid. As an example, the immune cell type compositions and frequencies in tonsil organoids in the presence or absence of LAIV stimulation were determined by flow cytometry. This was also performed to analyse CD38 and CD27 expression patterns on LAIV-stimulated B cells and adjuvant effects, in which the data suggested pre-GC phenotype transition, followed with plasmablast differentiation within the organoid.

ELISA is another type of protein assays aiming to quantitatively detect antibodies, antigens, or specific proteins in biological specimens. This method was applied to identify the influenza-specific antibody secretion in tonsil organoids. The data exhibited that flu-specific immunoglobulin G (IgG) was secreted after 7 days of stimulation with corresponding vaccine, indicating that the naïve B cells can produce hemagglutinin-specific antibodies [35]. In bioreactor-based LN organoid generation, either in-process controls or end-point evaluation were performed using standard ELISA. Immunoglobulin M (IgM) secretion was found to be enhanced during the immune suppression effects of dexamethasone, proving that this in vitro LN model can physiologically represent immune responses toward virus, vaccines, and other immuno-modulating substances [108].

ELIspot assay is an alternative way to detect specific protein or antibody signature from immune cells in a more sensitive manner, as this technique focuses on quantifying the antibody-secreting or cytokine-secreting cells. For example, the tonsil organoid stimulated with LAIV up to 7 days exhibited the influenza-specific antibody-secreting cells about 0.1–1.5 % of total B cells based on ELIspot analysis [35]. Other than two aforementioned analytical methods, western blot and protein microarray assays are also useful for immunological research and analysis. For instance, western blot analysis was performed in tonsil epithelial organoids to show their potential as the SARS-CoV-2 modelling study. Virus-infected organoids treated with remdesivir apparently showed dose-dependent antiviral activities through the significant decrease of viral spike and nucleocapsid protein expression as depicted in visualized protein band intensity [109].

In terms of protein microarray analysis, it was applied for antibody specificities evaluation against SARS-CoV-2 in tonsil organoid model by Kim et al. Upon a protein microarray results, specific IgG and IgA were produced from naïve tonsil organoid after being administered with series of vaccine candidates constructed from type 5 adenovirus vector containing full-length viral spike or nucleocapsid protein sequences [35]. Although the above protein analyzing methods are laborious and costly, their outcomes are convincible and sufficient to interpret various biological functions and characteristics of immune organoids. Additionally, it usually supports the genomic-level investigation data since protein synthesis was regulated by genes through the transcription and translational processes, and thus both transcriptomic- and proteomic analyses have mutual correlations that are powerful for biological revelations.

4.3. Morphological features

Organoid comprises the 3D multicellular compartment with complexity like its native tissue, so that the end-point morphological analysis is one of critical parameters to characterize its shape and size, spatial and compositions of multiple cell types, and whole detailed histological structures. Immunofluorescence staining or histochemistry analysis are both familiar to determine morphological characteristics of biological specimens (Fig. 4D). Both staining methods mostly require organoid samples to undergo sectioning steps and the result would represent stratified tissue-like compartments, while the whole-mount staining is considerably done only for small pieces of organoid. Fluorescent conjugated antibodies are used to detect various localized antigens in tissues or cell samples, followed by appropriate microscopy techniques to perform visualization.

The above method has been widely applied for organoid analysis, including the immune organoid. As a particular example, immunofluorescence technique was used to demonstrate the spatial organization of tonsil organoids especially the GC-like structures between unstimulated and LAIV-stimulated group. Based on confocal microscopy visualization of day-4 LAIV-stimulated organoid embedded frozen sections, the dark and light zone were apparently organized through distinctive expression of CD83 and CXCR4 markers in stained B cells that are the indicators of GC formation. This finding suggests critical features in tonsil organoid model to perform [35]. Nevertheless, large-scale screening of morphological and topographical structures of organoid system still remain as a challenge, including the acquisition of high-resolution 3D imaging and low accessibility for in-depth analysis. Ong et al. have recently incorporated the 3D confocal image analysis algorithms and artificial intelligence (AI) to quantify morphological changes at multilevel segmentations of the organoid [132]. This proof-of-concept system also enables the identification of tissue patterning and their roles in organoid micro-niches to construct a single database, which eventually could be a powerful assay for 3D organoid high-throughput screening.

For histochemistry approach, there are several types of tissue section staining depend on target elements, such as Haematoxylin and Eosin (H&E) staining, Masson Trichome staining, Periodic acid-Schiff (PAS) staining, and so on. For instance, H&E staining was performed to indicate cellular architectures of spleen organoid unit that appear like the white pulp, red pulp, and trabeculae, which is similar to the normal construct of in vivo spleen [107]. This typical staining was also done in LN organoid to evaluate its organotypic culture, cellular organization, and plasma cell formation [108]. Regardless the types of morphological analyses that are applicable for organoid assessment, imaging technology is inseparable with those techniques in order to provide meaningful information. There is still ample space for improvement to visualize live and fixed organoid to support further applications in disease simulation, regenerative therapy, or drug screening. An automated high-speed 3D organoid imaging platform that enables multi-scale phenotypic characterizations has been recently reported [133]. From an imaging standpoint, this innovation can inspire further research explorations in organoid, including but not limited to immune organoid that are currently restricted only to fluorescence imaging.

5. Challenges and bioengineering solutions

The emergence of immune organoid generation to model and investigate human adaptive immunity is promising not only for translational immunological studies but also for clinical testing of immunotherapeutics. Nevertheless, immune organoid technology is still in the early stages and there are gaps that need to be addressed to enhance their practical use for applications such as immunobiological studies and drug screening. Based on our findings, there are only 7 papers on immune organoid originated from human. Amongst these, 3 are stem cell-derived and 4 are primary donor derived. Various types of organotypic cultures have been established to explore human pathology and disease in vitro, but their integration with immune components that play central role in the mechanism of infections and homeostatic maintenance remains poorly explored. Combining immune organoids with other organoid types will be useful to improve the degree of complexity and their relevance to human physiology. To the best of knowledge, there is no published report on this. Here, potential strategies using a bioengineering approach to improve morpho-physiological functions and address challenges on immune organoids will be described.

5.1. Organoid architecture

Poorly controlled multicellular self-organization is a major limitation of mini organs resulting in high heterogeneity of organoids with their architecture differing from their corresponding organs. This phenomenon also causes stochastic end-point morphology and physiological functions, suggesting that the efforts to reduce this variability and enhance reproducibility are necessary for basic and translational organoid research [137]. Several techniques have been employed to address these issues. For instance, scaffold-guided organoid morphogenesis can be achieved microfabrication to better control structural organization and size range of organoids. A type I collagen hydrogel-containing microfluidic chip with microcavities was constructed to mimic the native crypt geometry during intestinal organoid culture [138]. The same research group further optimized a photopatterning of synthetic hydrogel mechanics that has been favourable for fine-tuning intestinal stem cell growth and differentiation into intestinal organoids [139]. Both findings are a proof-of-concept for specific tissue-oriented topographical scaffold that guides the organoid architecture similar to that in vivo. Cell–ECM interactions are also important features to promote organotypic structures and most organoid generation protocols rely on naturally derived basement matrix (e.g., Matrigel) or synthetic polymer like polyethylene glycol (PEG) which lack naturally occurring cell adhesion motifs.

Chen et al. developed a Matrigel-free method to generate brain organoids using 3D printed PDMS microwell array coated with coating materials including poly(ethylene glycol) methyl ether (mPEG), lipidure and bovine serum albumin (BSA) [140]. Their results demonstrated that both optimum surface coating material and device geometry are vital for organoid generation, and thus this work underlying microfabrication technology could pave the way to develop wide variety of organoids in ECM-free conditions. Another study has been recently reported the use of defined alginate hydrogels to support a Matrigel-free spinal cord organoid culture [141]. It was found that alginate encapsulation could reduce organoid size variability and support gliogenesis and neurogenesis in spinal cord organoids with similar efficiency to Matrigel-based organoid generation. Both studies could inspire a xeno-free culture system of other organoid types, including immune organoid. It is crucial to understand that the choice of biomaterial to construct organoids can reduce their translational potential, increase batch-to-batch variations, and heighten the risks of immunogenicity (for organoid transplants to replace in vivo organ), and should be an important consideration depending on the applications.

3D bioprinting has also been used for reconstructing organoids as it allows the design and selective cell distribution, cytokines, and bioactive molecules to form specific tissues and organ models. For example, cardiac organoids were made in a freeform embeddable collagen hydrogel suspension with a 3D bioprinting technique and it precisely reflects the anatomical structures of heart [142]. Genetic engineering approach could also provide different idea to improve the organoid research other than these technical bioengineering attempts. Recently, Legnini et al. proposed an optogenetic perturbations with spatial transcriptomics to control cellular reprogramming and tissue patterning in neural organoids [143]. This sophisticated technique could give future insights to combine it with other bioengineering methods and thus can dynamically improve the functionalities of organoids.

To the best of our knowledge, there has yet to be any bioengineering approaches to improve the generation of immune organoids. In addition, most established lymphoid tissue-derived immune organoids focus more on characterizations of their physiological functions, while the morphological aspects are poorly investigated. It might be due to the cellular reaggregation technique that was commonly used to form organoids based on primary cell culture, such as tonsil-, LN-, and thymic organoid — implying that their architectural structure is not as firm or stable like the corresponding tissue, thus limiting their morphological explorations and analysis. This remaining facet can be one of the promising cues to direct immune organoid development in the future, especially to advance its morphogenesis which is more accessible for downstream analyses.

Previous findings in bioengineered organoid will help advance immune organoid culture, as illustrated in Fig. 5A. It will be desirable to develop such a multifunctional biocompatible matrix to replace Matrigel for human immune organoid culture with physiologically relevant levels and control the spatial organoid architecture simultaneously. It can be further integrated with microwell platform to generate the immune organoid in uniform size and shape. 3D bioprinting technology or optogenetic regulation approach may also be tested. 3D bioprinting method might be useful to modulate immune organoid cellular compositions including the maturation levels, as it would allow design and spatial positioning of multiple cell types. Optogenetic system is extensively used for human iPSC-based organoid to control cell fate and differentiation and thus, it is worthwhile to explore its potential for patterning patient-derived organoids with light-inducible protein cues.

Fig. 5.

Fig. 5

Overcoming challenges and future directions on immuno-engineered organoids. Bioengineering approaches for the improvements in (A) organoid architecture and (B) vascularization and maturation levels. (C) A fusion of immune-, cancer-, and blood vessels organoid to form in vitro assembloid model that can reorchestrate tumour microenvironment. (D) A chip-driven immunological model to mimic the whole adaptive human immune system in an in vitro fashion. Multiple types of immune organoids were grown in an integrated microfluidic device to see their synergistic functions in acquiring immune sentinels.

5.2. Organoid vasculature and maturation

Organoid models often lack vascular networks, and thus fail to fully recapitulate its native organs. Another major drawback is the organoid lifespan for which it can be maintained in culture that eventually affects maturation inability beyond fetal phenotypes, particularly for pluripotent stem cell-derived organoid. Organoid vascularization could enhance their lifespan through nutrients distribution via capillaries as equivalent to in vivo environment. Vascular endothelial cells are known as an essential paracrine organ that secretes regulatory factors to respond environmental cues and nutrition. It indicates that their existence is crucial to support complex organoid functions. Conventional strategy to promote angiogenesis is to co-culture endothelial cells or their progenitors with organoid, i.e., human endothelial cells were co-cultured with both mesenchymal stem cells and iPSC-derived hepatic endoderm cells to generate vascularized liver organoids [144]. Direct expose to in vivo systemic factors and vasculature also promote the growth and maturation in host-vascularized organoid grafts [145]. Bioprinting methods can be an alternative to spatially control the endothelial cell composition in 3D-printed organoid structures, albeit this concept is still in early stage for organoid research since it had been applied so far to create pre-vascularized engineered-tissue microarchitecture [146].

Some other bioengineering approaches have been developed to support more physiologically relevant, long-lived, and vascularized organoids. Microfluidic system is promising tool to provide multi-channels for dynamic nutrient supply and waste removal within organoids, including other independent control of experimental conditions that are helpful for vascularization and/or maturation improvement. As an example, kidney organoid-on-a-chip under fluidic shear stress showed a notable improvement in the amount of vasculature within perfusable lumens and maturity level of tubular and glomerular compartments [147]. This work proved the ability of biophysical factors to promote organoid culture in a flow-enhanced microfluidic device, which might be also applicable to different organoid types for better functional properties.

Engineered matrices with certain biophysical and chemical properties have been known to facilitate the organoid maturation as well. For example, a cellulose nanofibril hydrogel has been reported its ability to substitute Matrigel for human liver organoid generation [148]. The results exhibited that the organoids grown in the cellulose hydrogel possess higher metabolic functionality, which suggests that the tunability of biopolymer scaffolds engineering can serve as advanced ECM materials for further organoid maturation. Recently, Mark et al. have reported a sophisticated approach through an orthogonally induced differentiation in one-pot system to generate vascularized and patterned cortical organoids [149]. Doxycycline is used to control the overexpression of specific transcriptional factors via media-driven differentiation and in combination with bioprinting system to create organ-specific tissues in a few days.

In the case of immune organoid development, both vascularization and maturity issues have not yet been explored in any published studies. As the immune organoid is a nascent research field, those remaining aspects could become the promising challenge to open new avenues in immunology. To the best of knowledge, current established lymphoid organoid can only be maintained for up to 7 days of culture. Organoid maturation is important for its survival by maintaining oxygen and nutrient uptake, including metabolic waste processing [150]. Vascular endothelial cells hold essential role in vascularization and they are not only actively participating in physiological processes but also orchestrating adaptive and innate immune system. They are known to have comparable functions with macrophages such as cytokine regulation, immune surveillance, antigen presentation, pathogen sensing, pro- and anti-inflammatory response, cellular migration, heterogeneity, and plasticity [151].

Apart from blood vasculature, human lymphatic endothelial cells functions have remained unclear as compared to blood endothelial cells in vascularization. The lymphatic system is extremely important in lymphoid organs due to its role in regulating interstitial fluid and lymphocytes extravasation from tissues and reintroducing them into bloodstream. To this end, it will be essential to introduce lymphatic vessels into immune organoids for better recapitulating real immune organs. Co-culturing immune organoid with blood endothelial cells and lymphatic endothelial cells can be an easy step to promote the angiogenesis and lymphatic vascularization simultaneously, and thus is a promising trial. Other approaches are applicable to develop the vascular network in immune organoid, such as the basic co-culturing step shows positive induction of organoid vasculature (Fig. 5B). Vascularized immune organoid will be advantageous to investigate the immune-vascular crosstalk without using lab-scale animal model, which could provide deeper understanding of combinatorial strategies for treating cancer, including but not limited to tumour vascular normalization and immune cell reprogramming. Moreover, immune organoid improvement will not only demonstrate the better human immunological responses ex vivo, but also give much information on immune cell evasion and pathological mechanisms that are potential for immunotherapeutic progress (e.g., immune checkpoint inhibitors or chimeric CAR-T cell therapy).

5.3. Recapitulating the adaptive immune system in totality

Modelling immune organs in vitro enables fine-tuning immunological parameters that are critical for fundamental operation of immune system, including immune cell recruitment, selection, development, and activation. The possibility to grow immune cells and tissues has greatly contributed to the understanding and efforts in recapitulating immunological microenvironments and mechanisms like that in vivo. Lymphoid niche is essential for lymphocyte circulation and maintenance in distinct lymphatic organs. Some single-organ platforms mimicking native cellular environment have been proposed along with more efforts under way to create multiorgan systems that can behave like the real organ functions [152]. For example, vascularized bone marrow-on-a-chip has been recently established by utilizing stem cell and microfluidic technologies [153]. This study demonstrated the capability of microfluidic device to support human bone marrow niches through a perfusable vascular network with ECM proteins expression where CD34+ HSPCs can be maintained and differentiate into CD66b+/CD33 neutrophils that egress from the marrow to interact with cells of interest in adjacent microfluidic lines. In fact, the research progress to emulate immune system throughout organ-on-a-chip is lagged, owing to the absence of 3D complex immune architectures.

Most pre-clinical studies investigated the crosstalk between immune cells and specific organs within non-immunogenic organoid model to overcome organ-on-a-chip limitations. A protocol has been reported for co-culturing an autologous human intestinal organoid with lamina propria-derived CD4+ T cells to scrutinize cell-to-cell interactions during tissue development and inflammatory responses [154]. Although organoids can recapitulate morpho-physiological characteristics of its corresponding organ, the multifarious immune cells among organoid culture to demonstrate their roles in homeostatic maintenance and immunity provision are not elucidated yet. Immune organoid development could fulfil the research gaps, which then offers the opportunity to develop more physiologically relevant models. Recent breakthrough in the field of immunology has been attained by a successful generation of human tonsil organoids for the first time, which carrying out adaptive immune features (e.g., GC phenotypes, antigen-specific antibody production, SHM and affinity maturation, class-switching recombination) in an in vitro fashion [35].

The establishment of immune organoid further leads to an opportunity for developing assembloids to model the disease progression, such as in cancer. Assembloid is self-organizing 3D cellular system based on the integration of multiple organoids to represent region of organ [155]. In 2020, Pasca et al. pioneered the differentiation of human iPSCs into region-specific brain organoids, which were fused to form cortico-striatal assembloids that mimic critical aspects of forebrain circuit [156]. They further reported 3D spheroids resembling specific domain in the central nervous system and integrated them into brain assembloids to recapitulate long-range neuronal connectivity [157]. It is proven that assembloid model holds promising capability to study human organ complexity and functionality including inter-organ interactions in an in vitro manner. There is no attempt yet to construct assembloids that involve immune organoids. Thus, it will be interesting to assemble immune organoid with other organoid types to study their reciprocal interactions, i.e., culturing lymph node organoids and cancer organoids to reorchestrate immune-cancer assembloids that can be insightful to reveal tumour immune microenvironment. Lymphatic- or blood vessel organoids can also be integrated to introduce vascularization in immune-cancer assembloids as well (Fig. 5C).

Moreover, microfluidic technology has been pushed forward in the past few years to improve the understanding of human disease mechanisms and drug efficacy by a multi-organoid-on-a-chip model, e.g., liver-heart organoids-on-a-chip [158], liver-pancreatic islet organoids-on-a-chip [159], and body-on-a-chip system [160]. According to previous innovative attempts, micro-engineered multi-immune-organoid system could be a powerful concept to implement the idea of combining different types of lymphoid-derived organoids within one microenvironmental platform to see how the immune organs cooperate each other to perform immune sentinels (Fig. 5D). Kim et al. gave for instance the feasibility of human tonsil epithelial organoids for SARS-CoV-2 susceptibility testing for pre-clinical evaluation [109]. This study indicates potential of integrating several types of immune organoids that can provide greater complex in vitro model for unveiling the mechanism of systemic pathological process. Lymphatic vessels also play important role likewise in maintaining immunosurveillance. To a great extent, improving immune organotypic culture with lymphatic vessel formation could be another promising challenge. Bioengineering approach perhaps can facilitate this idea similar to introducing the vascular network in non-lymphoid organoids, such as using 3D bioprinting to construct designated immune organoids or governing multi-immune-organoid-on-a-chip comprise the two or more different lymphoid-derived organoids along with lymphatic vessel-like structures. All these efforts will contribute to a significant advancement of the organoids that can mimic the whole adaptive immune responses in more realistic manner.

6. Conclusions and outlook

Exciting progress has been demonstrated in immunological studies through the development of human immune organoids, providing interdisciplinary scientists to explore immune cell behaviours with this advanced in vitro model. Specifically, tonsil organoid is a key platform to bridge the gap between organoid technology and human immunobiology. It has the capacity to mimic GC properties in a more physiological manner that somehow cannot be represented by animal models, e.g., somatic hypermutation, antibody class-switching, antigen-specific antibody production, and affinity maturation. While the authors have done an impressive job characterizing the immunological functions of the donor-derived organoids to respond to previously exposed antigens, it has yet to be a demonstration that the immune organoid can respond to naïve antigens which will be key to place animal models.

Besides improving the physiological relevance of immune organoids through biomaterials, genetic engineering and 3D printing to improve their morphology, longevity and biofunctions, it is equally important to consider other aspects of translation. First, is it possible to build immune organoids as a renewable resource? Most immune organoids are generated from primary tissues which are not as renewable and accessible as stem cell derived organoids. Yet, stem cell differentiation protocols have yet to mature to the level where all immune cell types can be generated. For instance, while the conversion of induced pluripotent stem cells to T cells is relatively efficient, the same cannot be said for dendritic cells and macrophages. It is key to consider whether the renewability of the cells matter depending on the applications.

Second, an efficient protocol to cryopreserve immune organoids needs to be developed. Currently, organoids are generated by small scale labs and for this technology to be accessible to more labs, a centralized manufacturing facility that can ship organoids would be ideal. Nevertheless, technology for organoid cryopreservation is lacking. Artificial intelligence (AI) technology can be a sophisticated tool to tackle this issue and to bring transformative potential in organoid era [[161], [162], [163]]. It helps the revolution to organoid field by providing novel methodologies and insights, which could expedite organoid development and clinical applications. Interfacing organoid system with AI can also create a highly accurate platform of human organ diseases and functions that are favourable for patient diagnosis, drug discovery, and clinical treatment.

Understanding the major lymphoid organs and their roles in immunological functions is constitutional to build such an organoid that can perfectly mimic their phenotypic properties. Moreover, the improvements in 3D architecture, cell composition phenotypes, and functionality of specific immune organoids to better reflect their corresponding organ are highly interesting to carry out, but not elucidated yet. The path to bringing out the immune organoid models into pre-clinical applications and clinical translation is considerably long way and more challenging. Bioengineering approaches are prospective to pave the way for overcoming major challenges. In this regard, several techniques could be applicable to improve the immune organoid characteristics, such as 3D bioprinting, micro-patterning, and microfluidic system that are already proven to enhance either vascularization or maturity level in non-immunogenic organoid types. Proper downstream analyses are important to identify organoid samples and for this reason, some available methods for immune organoid characterisations are also discussed in the previous section. In conclusion, immuno-engineered organoid holds great opportunities for facilitating human translational and clinical investigations ex vivo in the future, including vaccine- or immunotherapeutic drug testing.

CRediT authorship contribution statement

Intan Rosalina Suhito: Writing – review & editing, Writing – original draft, Resources, Data curation, Conceptualization. Christina Sunil: Writing – original draft, Resources, Data curation. Andy Tay: Writing – review & editing, Supervision, Funding acquisition, Conceptualization.

Ethics approval and consent to participate

Ethics approval and consent to participate does not apply to this review manuscript.

Data availability

No new data were created or analysed in this study.

Declaration of competing interest

The authors declare the following financial interests/personal relationships which may be considered as potential competing interests:

Andy Tay Kah Ping reports financial support was provided by Government of Singapore Ministry of Education. Andy Tay Kah Ping reports financial support was provided by National Medical Research Council. If there are other authors, they declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Acknowledgments

This work was supported by the NUS Presidential Young Professorship, Ministry of Education Tier 1, National Medical Research Council Open Fund Young Investigator Research Grant, Manufacturing, Trade and Connectivity Young Investigator Research Grant, iHT OOE award, NUS Healthy Longevity TRP Aged Mice Funding, Joint NCIS Centre Grant and NUS Centre for Cancer Research (N2CR) Seed Funding Programme, TREX Grant, PCM Seed Grant, and PREPARE Strategic Open Grant Call (Vaccines & Therapeutics Co-Operative Programme). An illustration for precision cut tissue slices in Fig. 1 was created with Biorender.com.

Footnotes

Peer review under responsibility of KeAi Communications Co., Ltd.

References

  • 1.Underhill D.M., Gordon S., Imhof B.A., Nunez G., Bousso P. Elie Metchnikoff (1845–1916): celebrating 100 years of cellular immunology and beyond. Nat. Rev. Immunol. 2016;16(10):651–656. doi: 10.1038/nri.2016.89. [DOI] [PubMed] [Google Scholar]
  • 2.Kaufmann S.H. Emil von Behring: translational medicine at the dawn of immunology. Nat. Rev. Immunol. 2017;17(6):341–343. doi: 10.1038/nri.2017.37. [DOI] [PubMed] [Google Scholar]
  • 3.Miller J.F. The golden anniversary of the thymus. Nat. Rev. Immunol. 2011;11(7):489–495. doi: 10.1038/nri2993. [DOI] [PubMed] [Google Scholar]
  • 4.Gonzalez H., Hagerling C., Werb Z. Roles of the immune system in cancer: from tumor initiation to metastatic progression. Genes Dev. 2018;32(19–20):1267–1284. doi: 10.1101/gad.314617.118. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Sung H., Ferlay J., Siegel R.L., Laversanne M., Soerjomataram I., Jemal A., Bray F. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA A Cancer J. Clin. 2021;71(3):209–249. doi: 10.3322/caac.21660. [DOI] [PubMed] [Google Scholar]
  • 6.Hiam-Galvez K.J., Allen B.M., Spitzer M.H. Systemic immunity in cancer. Nat. Rev. Cancer. 2021;21(6):345–359. doi: 10.1038/s41568-021-00347-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Yuan M., Huang D., Lee C.-C.D., Wu N.C., Jackson A.M., Zhu X., Liu H., Peng L., Van Gils M.J., Sanders R.W. Structural and functional ramifications of antigenic drift in recent SARS-CoV-2 variants. Science. 2021;373(6556):818–823. doi: 10.1126/science.abh1139. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Yousefzadeh M.J., Flores R.R., Zhu Y., Schmiechen Z.C., Brooks R.W., Trussoni C.E., Cui Y., Angelini L., Lee K.-A., McGowan S.J. An aged immune system drives senescence and ageing of solid organs. Nature. 2021;594(7861):100–105. doi: 10.1038/s41586-021-03547-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Aiello A., Farzaneh F., Candore G., Caruso C., Davinelli S., Gambino C.M., Ligotti M.E., Zareian N., Accardi G. Immunosenescence and its hallmarks: how to oppose aging strategically? A review of potential options for therapeutic intervention. Front. Immunol. 2019:2247. doi: 10.3389/fimmu.2019.02247. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Nicholson Lindsay B. The immune system. Essays Biochem. 2016;60(3):275–301. doi: 10.1042/EBC20160017. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Wouters O.J., McKee M., Luyten J. Estimated research and development investment needed to bring a new medicine to market, 2009-2018. JAMA. 2020;323(9):844–853. doi: 10.1001/jama.2020.1166. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Graham A.L. Naturalizing mouse models for immunology. Nat. Immunol. 2021;22(2):111–117. doi: 10.1038/s41590-020-00857-2. [DOI] [PubMed] [Google Scholar]
  • 13.Wagar L.E., DiFazio R.M., Davis M.M. Advanced model systems and tools for basic and translational human immunology. Genome Med. 2018;10(1):1–14. doi: 10.1186/s13073-018-0584-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Gillgrass A., Wessels J.M., Yang J.X., Kaushic C. Advances in humanized mouse models to improve understanding of HIV-1 pathogenesis and immune responses. Front. Immunol. 2021;11 doi: 10.3389/fimmu.2020.617516. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Yamaguchi T., Katano I., Otsuka I., Ito R., Mochizuki M., Goto M., Takahashi T. Generation of novel human red blood cell-bearing humanized mouse models based on C3-deficient NOG mice. Front. Immunol. 2021;12 doi: 10.3389/fimmu.2021.671648. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Lee J.Y., Han A.-R., Lee D.R. T lymphocyte development and activation in humanized mouse model. Dev. Reprod. 2019;23(2):79. doi: 10.12717/DR.2019.23.2.079. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Akkina R. Humanized mice for studying human immune responses and generating human monoclonal antibodies. Microbiol. Spectr. 2014;2(2) doi: 10.1128/microbiolspec.AID-0003-2012. 2.2. 03. [DOI] [PubMed] [Google Scholar]
  • 18.Danku A.E., Dulf E.-H., Braicu C., Jurj A., Berindan-Neagoe I. Organ-on-A-chip: a survey of technical results and problems. Front. Bioeng. Biotechnol. 2022;10 doi: 10.3389/fbioe.2022.840674. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Quan Y., Sun M., Tan Z., Eijkel J.C., Van Den Berg A., Van Der Meer A., Xie Y. Organ-on-a-chip: the next generation platform for risk assessment of radiobiology. RSC Adv. 2020;10(65):39521–39530. doi: 10.1039/d0ra05173j. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Sasserath T., Rumsey J.W., McAleer C.W., Bridges L.R., Long C.J., Elbrecht D., Schuler F., Roth A., Bertinetti‐LaPatki C., Shuler M.L. Differential monocyte actuation in a three‐organ functional innate immune system‐on‐a‐chip. Adv. Sci. 2020;7(13) doi: 10.1002/advs.202000323. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Parlato S., Grisanti G., Sinibaldi G., Peruzzi G., Casciola C.M., Gabriele L. Tumor-on-a-chip platforms to study cancer–immune system crosstalk in the era of immunotherapy. Lab Chip. 2021;21(2):234–253. doi: 10.1039/d0lc00799d. [DOI] [PubMed] [Google Scholar]
  • 22.Mattei F., Andreone S., Mencattini A., De Ninno A., Businaro L., Martinelli E., Schiavoni G. Oncoimmunology meets organs-on-chip. Front. Mol. Biosci. 2021;8 doi: 10.3389/fmolb.2021.627454. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Sun W., Luo Z., Lee J., Kim H.J., Lee K., Tebon P., Feng Y., Dokmeci M.R., Sengupta S., Khademhosseini A. Organ‐on‐a‐chip for cancer and immune organs modeling. Adv. Healthcare Mater. 2019;8(4) doi: 10.1002/adhm.201801363. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Goyal G., Prabhala P., Mahajan G., Bausk B., Gilboa T., Xie L., Zhai Y., Lazarovits R., Mansour A., Kim M.S. Ectopic lymphoid follicle formation and human seasonal influenza vaccination responses recapitulated in an organ‐on‐a‐chip. Adv. Sci. 2022 doi: 10.1002/advs.202103241. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Mastrangeli M., van den Eijnden-van Raaij J. Organs-on-chip: the way forward. Stem Cell Rep. 2021;16(9):2037–2043. doi: 10.1016/j.stemcr.2021.06.015. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Piergiovanni M., Leite S.B., Corvi R., Whelan M. Standardisation needs for organ on chip devices. Lab Chip. 2021;21(15):2857–2868. doi: 10.1039/d1lc00241d. [DOI] [PubMed] [Google Scholar]
  • 27.Paloschi V., Sabater-Lleal M., Middelkamp H., Vivas A., Johansson S., van der Meer A., Tenje M., Maegdefessel L. Organ-on-a-chip technology: a novel approach to investigate cardiovascular diseases. Cardiovasc. Res. 2021;117(14):2742–2754. doi: 10.1093/cvr/cvab088. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Huang Y., Huang Z., Tang Z., Chen Y., Huang M., Liu H., Ye Q., Jia B. Research progress, challenges and breakthroughs of organoids as disease models. Front. Cell Dev. Biol. 2021:3259. doi: 10.3389/fcell.2021.740574. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Kim J., Koo B.-K., Knoblich J.A. Human organoids: model systems for human biology and medicine. Nat. Rev. Mol. Cell Biol. 2020;21(10):571–584. doi: 10.1038/s41580-020-0259-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Corrò C., Novellasdemunt L., Li V.S. A brief history of organoids. Am. J. Physiol. Cell Physiol. 2020;319(1):C151–C165. doi: 10.1152/ajpcell.00120.2020. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.de Souza N. Organoids. Nat. Methods. 2018;15(1):23. 23. [Google Scholar]
  • 32.Purwada A., Jaiswal M.K., Ahn H., Nojima T., Kitamura D., Gaharwar A.K., Cerchietti L., Singh A. Ex vivo engineered immune organoids for controlled germinal center reactions. Biomaterials. 2015;63:24–34. doi: 10.1016/j.biomaterials.2015.06.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Purwada A., Singh A. Immuno-engineered organoids for regulating the kinetics of B-cell development and antibody production. Nat. Protoc. 2017;12(1):168–182. doi: 10.1038/nprot.2016.157. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Lenti E., Bianchessi S., Proulx S.T., Palano M.T., Genovese L., Raccosta L., Spinelli A., Drago D., Andolfo A., Alfano M. Therapeutic regeneration of lymphatic and immune cell functions upon lympho-organoid transplantation. Stem Cell Rep. 2019;12(6):1260–1268. doi: 10.1016/j.stemcr.2019.04.021. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Wagar L.E., Salahudeen A., Constantz C.M., Wendel B.S., Lyons M.M., Mallajosyula V., Jatt L.P., Adamska J.Z., Blum L.K., Gupta N. Modeling human adaptive immune responses with tonsil organoids. Nat. Med. 2021;27(1):125–135. doi: 10.1038/s41591-020-01145-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Tajima A., Pradhan I., Geng X., Trucco M., Fan Y. 2016. Construction of Thymus Organoids from Decellularized Thymus Scaffolds; pp. 33–42. Organoids, Springer. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Wagar L.E., Sworder B., Khodadoust M.S., Davis M.M., Alizadeh A.A. Follicular lymphoma organoids for investigating the tumor microenvironment. Blood. 2019;134:2799. [Google Scholar]
  • 38.Kobayashi Y., Watanabe T. Inducible Lymphoid Organs. 2020. Artificial construction of immune tissues/organoids and their application for immunological intervention; pp. 143–160. [DOI] [PubMed] [Google Scholar]
  • 39.Yip S., Wang N., Sugimura R. Give them vasculature and immune cells: how to fill the gap of organoids. Cells Tissues Organs. 2023;212(5):369–382. doi: 10.1159/000529431. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Hofer M., Lutolf M.P. Engineering organoids. Nat. Rev. Mater. 2021;6(5):402–420. doi: 10.1038/s41578-021-00279-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Schulla L.S., Alupoaie E.D., De Silva L., Gawlitta D., Middendorp S., Coffer P.J., Roukens M.G. Development of a novel microfluidic Co-culture model to study organoid vascularization. bioRxiv. 2022 [Google Scholar]
  • 42.Kim E., Choi S., Kang B., Kong J., Kim Y., Yoon W.H., Lee H.-R., Kim S., Kim H.-M., Lee H. Creation of bladder assembloids mimicking tissue regeneration and cancer. Nature. 2020;588(7839):664–669. doi: 10.1038/s41586-020-3034-x. [DOI] [PubMed] [Google Scholar]
  • 43.Pabst R. The bone marrow is not only a primary lymphoid organ: the critical role for T lymphocyte migration and housing of long‐term memory plasma cells. Eur. J. Immunol. 2018;48(7):1096–1100. doi: 10.1002/eji.201747392. [DOI] [PubMed] [Google Scholar]
  • 44.Kim S., Shah S.B., Graney P.L., Singh A. Multiscale engineering of immune cells and lymphoid organs. Nat. Rev. Mater. 2019;4(6):355–378. doi: 10.1038/s41578-019-0100-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Thompson E.C. Focus issue: structure and function of lymphoid tissues. Trends Immunol. 2012;33(6):255. doi: 10.1016/j.it.2012.05.001. [DOI] [PubMed] [Google Scholar]
  • 46.Ruddle N.H., Akirav E.M. Secondary lymphoid organs: responding to genetic and environmental cues in ontogeny and the immune response. J. Immunol. 2009;183(4):2205–2212. doi: 10.4049/jimmunol.0804324. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Randall T.D., Carragher D.M., Rangel-Moreno J. Development of secondary lymphoid organs. Annu. Rev. Immunol. 2008;26:627. doi: 10.1146/annurev.immunol.26.021607.090257. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Buettner M., Lochner M. Development and function of secondary and tertiary lymphoid organs in the small intestine and the colon. Front. Immunol. 2016;7:342. doi: 10.3389/fimmu.2016.00342. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Jones G.W., Hill D.G., Jones S.A. Understanding immune cells in tertiary lymphoid organ development: it is all starting to come together. Front. Immunol. 2016;7:401. doi: 10.3389/fimmu.2016.00401. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Thapa P., Farber D.L. The role of the thymus in the immune response, Thorac. Surg. Clin. 2019;29(2):123–131. doi: 10.1016/j.thorsurg.2018.12.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Takahama Y., Ohigashi I., Baik S., Anderson G. Generation of diversity in thymic epithelial cells. Nat. Rev. Immunol. 2017;17(5):295–305. doi: 10.1038/nri.2017.12. [DOI] [PubMed] [Google Scholar]
  • 52.Bleul C.C., Corbeaux T., Reuter A., Fisch P., Mönting J.S., Boehm T. Formation of a functional thymus initiated by a postnatal epithelial progenitor cell. Nature. 2006;441(7096):992–996. doi: 10.1038/nature04850. [DOI] [PubMed] [Google Scholar]
  • 53.Anderson G., Takahama Y. Thymic epithelial cells: working class heroes for T cell development and repertoire selection. Trends Immunol. 2012;33(6):256–263. doi: 10.1016/j.it.2012.03.005. [DOI] [PubMed] [Google Scholar]
  • 54.Wang H.-X., Pan W., Zheng L., Zhong X.-P., Tan L., Liang Z., He J., Feng P., Zhao Y., Qiu Y.-R. Thymic epithelial cells contribute to thymopoiesis and T cell development. Front. Immunol. 2020:3099. doi: 10.3389/fimmu.2019.03099. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Besnard M., Padonou F., Provin N., Giraud M., Guillonneau C. AIRE deficiency, from preclinical models to human APECED disease. Dis. Model Mech. 2021;14(2) doi: 10.1242/dmm.046359. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Calderón L., Boehm T. Synergistic, context-dependent, and hierarchical functions of epithelial components in thymic microenvironments. Cell. 2012;149(1):159–172. doi: 10.1016/j.cell.2012.01.049. [DOI] [PubMed] [Google Scholar]
  • 57.Rode I., Martins V.C., Küblbeck G., Maltry N., Tessmer C., Rodewald H.-R. Foxn1 protein expression in the developing, aging, and regenerating thymus. J. Immunol. 2015;195(12):5678–5687. doi: 10.4049/jimmunol.1502010. [DOI] [PubMed] [Google Scholar]
  • 58.Žuklys S., Handel A., Zhanybekova S., Govani F., Keller M., Maio S., Mayer C.E., Teh H.Y., Hafen K., Gallone G. Foxn1 regulates key target genes essential for T cell development in postnatal thymic epithelial cells. Nat. Immunol. 2016;17(10):1206–1215. doi: 10.1038/ni.3537. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59.Campinoti S., Gjinovci A., Ragazzini R., Zanieri L., Ariza-McNaughton L., Catucci M., Boeing S., Park J.-E., Hutchinson J.C., Muñoz-Ruiz M. Reconstitution of a functional human thymus by postnatal stromal progenitor cells and natural whole-organ scaffolds. Nat. Commun. 2020;11(1):1–16. doi: 10.1038/s41467-020-20082-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60.Kohn L.A., Hao Q.-L., Sasidharan R., Parekh C., Ge S., Zhu Y., Mikkola H.K., Crooks G.M. Lymphoid priming in human bone marrow begins before expression of CD10 with upregulation of L-selectin. Nat. Immunol. 2012;13(10):963–971. doi: 10.1038/ni.2405. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61.Schwarz B.A., Bhandoola A. Trafficking from the bone marrow to the thymus: a prerequisite for thymopoiesis. Immunol. Rev. 2006;209(1):47–57. doi: 10.1111/j.0105-2896.2006.00350.x. [DOI] [PubMed] [Google Scholar]
  • 62.Perry S.S., Wang H., Pierce L.J., Yang A.M., Tsai S., Spangrude G.J. L-selectin defines a bone marrow analog to the thymic early T-lineage progenitor. Blood. 2004;103(8):2990–2996. doi: 10.1182/blood-2003-09-3030. [DOI] [PubMed] [Google Scholar]
  • 63.Pioli P.D. Plasma cells, the next generation: beyond antibody secretion. Front. Immunol. 2019:2768. doi: 10.3389/fimmu.2019.02768. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64.Chang H.D., Radbruch A. Maintenance of quiescent immune memory in the bone marrow. Eur. J. Immunol. 2021;51(7):1592–1601. doi: 10.1002/eji.202049012. [DOI] [PubMed] [Google Scholar]
  • 65.Di Rosa F., Gebhardt T. Bone marrow T cells and the integrated functions of recirculating and tissue-resident memory T cells. Front. Immunol. 2016;7:51. doi: 10.3389/fimmu.2016.00051. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 66.Mazo I.B., Honczarenko M., Leung H., Cavanagh L.L., Bonasio R., Weninger W., Engelke K., Xia L., McEver R.P., Koni P.A. Bone marrow is a major reservoir and site of recruitment for central memory CD8+ T cells. Immunity. 2005;22(2):259–270. doi: 10.1016/j.immuni.2005.01.008. [DOI] [PubMed] [Google Scholar]
  • 67.Schirrmacher V., Feuerer M., Fournier P., Ahlert T., Umansky V., Beckhove P. T-cell priming in bone marrow: the potential for long-lasting protective anti-tumor immunity. Trends Mol. Med. 2003;9(12):526–534. doi: 10.1016/j.molmed.2003.10.001. [DOI] [PubMed] [Google Scholar]
  • 68.van Leeuwen-Kerkhoff N., Lundberg K., Westers T.M., Kordasti S., Bontkes H.J., Lindstedt M., De Gruijl T.D., Van de Loosdrecht A.A. Human bone marrow-derived myeloid dendritic cells show an immature transcriptional and functional profile compared to their peripheral blood counterparts and separate from slan+ non-classical monocytes. Front. Immunol. 2018;9:1619. doi: 10.3389/fimmu.2018.01619. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 69.Bozzano F., Perrone C., Moretta L., De Maria A. NK cell precursors in human bone marrow in health and inflammation. Front. Immunol. 2019:2045. doi: 10.3389/fimmu.2019.02045. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 70.Torisawa Y.-s., Spina C.S., Mammoto T., Mammoto A., Weaver J.C., Tat T., Collins J.J., Ingber D.E. Bone marrow–on–a–chip replicates hematopoietic niche physiology in vitro. Nat. Methods. 2014;11(6):663–669. doi: 10.1038/nmeth.2938. [DOI] [PubMed] [Google Scholar]
  • 71.Chou D.B., Frismantas V., Milton Y., David R., Pop-Damkov P., Ferguson D., MacDonald A., Vargel Bölükbaşı Ö., Joyce C.E., Moreira Teixeira L.S. On-chip recapitulation of clinical bone marrow toxicities and patient-specific pathophysiology. Nat. Biomed. Eng. 2020;4(4):394–406. doi: 10.1038/s41551-019-0495-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 72.Nelson M.R., Ghoshal D., Mejías J.C., Rubio D.F., Keith E., Roy K. A multi-niche microvascularized human bone marrow (hBM) on-a-chip elucidates key roles of the endosteal niche in hBM physiology. Biomaterials. 2021;270 doi: 10.1016/j.biomaterials.2021.120683. [DOI] [PubMed] [Google Scholar]
  • 73.Mebius R.E., Kraal G. Structure and function of the spleen. Nat. Rev. Immunol. 2005;5(8):606–616. doi: 10.1038/nri1669. [DOI] [PubMed] [Google Scholar]
  • 74.Ehimwenma O., Tagbo M.T. Determination of normal dimension of the spleen by ultrasound in an endemic tropical environment, Niger. Med. J. 2011;52(3):198. doi: 10.4103/0300-1652.86141. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 75.Pivkin I.V., Peng Z., Karniadakis G.E., Buffet P.A., Dao M., Suresh S. Biomechanics of red blood cells in human spleen and consequences for physiology and disease. Proc. Natl. Acad. Sci. U. S. A. 2016;113(28):7804–7809. doi: 10.1073/pnas.1606751113. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 76.Borges da Silva H., Fonseca R., Pereira R.M., Cassado A.d.A., Álvarez J.M., D'Império Lima M.R. Splenic macrophage subsets and their function during blood-borne infections. Front. Immunol. 2015;6:480. doi: 10.3389/fimmu.2015.00480. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 77.Franken L., Schiwon M., Kurts C. Macrophages: sentinels and regulators of the immune system. Cell Microbiol. 2016;18(4):475–487. doi: 10.1111/cmi.12580. [DOI] [PubMed] [Google Scholar]
  • 78.Bronte V., Pittet M.J. The spleen in local and systemic regulation of immunity. Immunity. 2013;39(5):806–818. doi: 10.1016/j.immuni.2013.10.010. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 79.Lewis S.M., Williams A., Eisenbarth S.C. Structure and function of the immune system in the spleen. Sci. Immunol. 2019;4(33) doi: 10.1126/sciimmunol.aau6085. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 80.Steiniger B., Barth P., Hellinger A. The perifollicular and marginal zones of the human splenic white pulp : do fibroblasts guide lymphocyte immigration? Am. J. Pathol. 2001;159(2):501–512. doi: 10.1016/S0002-9440(10)61722-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 81.James K., Skibinski G., Hoffman P. A comparison of the performance in vitro of precision cut tissue slices and suspensions of human spleen with special reference to immunoglobulin and cytokine production. Hum. Antibodies. 1996;7(4):138–150. [PubMed] [Google Scholar]
  • 82.Rigat-Brugarolas L., Elizalde-Torrent A., Bernabeu M., De Niz M., Martin-Jaular L., Fernandez-Becerra C., Homs-Corbera A., Samitier J., Del Portillo H. A functional microengineered model of the human splenon-on-a-chip. Lab Chip. 2014;14(10):1715–1724. doi: 10.1039/c3lc51449h. [DOI] [PubMed] [Google Scholar]
  • 83.Qiang Y., Sissoko A., Liu Z.L., Dong T., Zheng F., Kong F., Higgins J.M., Karniadakis G.E., Buffet P.A., Suresh S. Microfluidic study of retention and elimination of abnormal red blood cells by human spleen with implications for sickle cell disease. Proc. Natl. Acad. Sci. U. S. A. 2023;120(6) doi: 10.1073/pnas.2217607120. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 84.Liao S., Padera T.P. Lymphatic function and immune regulation in health and disease. Lymphatic Res. Biol. 2013;11(3):136–143. doi: 10.1089/lrb.2013.0012. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 85.Elmore S.A. Histopathology of the lymph nodes. Toxicol. Pathol. 2006;34(5):425–454. doi: 10.1080/01926230600964722. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 86.Willard-Mack C.L. Normal structure, function, and histology of lymph nodes. Toxicol. Pathol. 2006;34(5):409–424. doi: 10.1080/01926230600867727. [DOI] [PubMed] [Google Scholar]
  • 87.Shou Y., Johnson S.C., Quek Y.J., Li X., Tay A. Integrative lymph node-mimicking models created with biomaterials and computational tools to study the immune system. Mater. Today Bio. 2022 doi: 10.1016/j.mtbio.2022.100269. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 88.Liao S., von der Weid P.-Y. Elsevier; 2015. Lymphatic System: an Active Pathway for Immune Protection, Semin. Cell Dev. Biol; pp. 83–89. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 89.Zou M., Wiechers C., Huehn J. Lymph node stromal cell subsets—emerging specialists for tailored tissue-specific immune responses. Int. J. Med. Microbiol. 2021;311(3) doi: 10.1016/j.ijmm.2021.151492. [DOI] [PubMed] [Google Scholar]
  • 90.Link A., Vogt T.K., Favre S., Britschgi M.R., Acha-Orbea H., Hinz B., Cyster J.G., Luther S.A. Fibroblastic reticular cells in lymph nodes regulate the homeostasis of naive T cells. Nat. Immunol. 2007;8(11):1255–1265. doi: 10.1038/ni1513. [DOI] [PubMed] [Google Scholar]
  • 91.Shanti A., Hallfors N., Petroianu G.A., Planelles L., Stefanini C. Lymph nodes-on-chip: promising immune platforms for pharmacological and toxicological applications. Front. Pharmacol. 2021;12 doi: 10.3389/fphar.2021.711307. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 92.Brandtzaeg P. Function of mucosa-associated lymphoid tissue in antibody formation. Immunol. Invest. 2010;39(4–5):303–355. doi: 10.3109/08820131003680369. [DOI] [PubMed] [Google Scholar]
  • 93.Sada-Ovalle I., Talayero A., Chavéz-Galán L., Barrera L., Castorena-Maldonado A., Soda-Merhy A., Torre-Bouscoulet L. Functionality of CD4+ and CD8+ T cells from tonsillar tissue. Clin. Exp. Immunol. 2012;168(2):200–206. doi: 10.1111/j.1365-2249.2012.04573.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 94.Carrasco A., Sjölander I., Van Acker A., Dernstedt A., Fehrm J., Forsell M., Friberg D., Mjösberg J., Rao A. The tonsil lymphocyte landscape in pediatric tonsil hyperplasia and obstructive sleep apnea. Front. Immunol. 2021;12:674080. doi: 10.3389/fimmu.2021.674080. 674080. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 95.Boyaka P.N., Wright P.F., Marinaro M., Kiyono H., Johnson J.E., Gonzales R.A., Ikizler M.R., Werkhaven J.A., Jackson R.J., Fujihashi K. Human nasopharyngeal-associated lymphoreticular tissues: functional analysis of subepithelial and intraepithelial B and T cells from adenoids and tonsils. Am. J. Pathol. 2000;157(6):2023–2035. doi: 10.1016/S0002-9440(10)64841-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 96.Giger B., Bonanomi A., Odermatt B., Ladell K., Speck R.F., Kojic D., Berger C., Niggli F.K., Nadal D. Human tonsillar tissue block cultures differ from autologous tonsillar cell suspension cultures in lymphocyte subset activation and cytokine gene expression. J. Immunol. Methods. 2004;289(1–2):179–190. doi: 10.1016/j.jim.2004.04.015. [DOI] [PubMed] [Google Scholar]
  • 97.Grivel J.-C., Margolis L. Use of human tissue explants to study human infectious agents. Nat. Protoc. 2009;4(2):256–269. doi: 10.1038/nprot.2008.245. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 98.Kostić M., Ivanov M., Babić S.S., Tepavčević Z., Radanović O., Soković M., Ćirić A. Analysis of tonsil tissues from patients diagnosed with chronic tonsillitis—microbiological profile, biofilm-forming capacity and histology. Antibiotics. 2022;11(12):1747. doi: 10.3390/antibiotics11121747. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 99.Langlois M., Bounou S., Tremblay M.J., Barbeau B. Infection of the ex vivo tonsil model by HTLV-1 envelope-pseudotyped viruses. Pathogens. 2023;12(2):182. doi: 10.3390/pathogens12020182. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 100.Sieber S., Wirth L., Cavak N., Koenigsmark M., Marx U., Lauster R., Rosowski M. Bone marrow‐on‐a‐chip: long‐term culture of human haematopoietic stem cells in a three‐dimensional microfluidic environment. J. Tissue Eng. Regen. Med. 2018;12(2):479–489. doi: 10.1002/term.2507. [DOI] [PubMed] [Google Scholar]
  • 101.Sharipol A., Lesch M.L., Soto C.A., Frisch B.J. Bone marrow microenvironment-on-chip for culture of functional hematopoietic stem cells. Front. Bioeng. Biotechnol. 2022;10 doi: 10.3389/fbioe.2022.855777. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 102.Khan A.O., Rodriguez-Romera A., Reyat J.S., Olijnik A.-A., Colombo M., Wang G., Wen W.X., Sousos N., Murphy L.C., Grygielska B., Perrella G., Mahony C.B., Ling R.E., Elliott N.E., Simoglou Karali C., Stone A.P., Kemble S., Cutler E.A., Fielding A.K., Croft A.P., Bassett D., Poologasundarampillai G., Roy A., Gooding S., Rayes J., Machlus K.R., Psaila B. Human bone marrow organoids for disease modelling, discovery and validation of therapeutic targets in hematological malignancies. Cancer Discov. 2022;13(2):364–385. doi: 10.1158/2159-8290.CD-22-0199. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 103.Seet C.S., He C., Bethune M.T., Li S., Chick B., Gschweng E.H., Zhu Y., Kim K., Kohn D.B., Baltimore D. Generation of mature T cells from human hematopoietic stem and progenitor cells in artificial thymic organoids. Nat. Methods. 2017;14(5):521–530. doi: 10.1038/nmeth.4237. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 104.Zeleniak A., Wiegand C., Liu W., McCormick C., Alavi A., Guan H., Bertera S., Lakomy R., Tajima A., Cohen H. De novo construction of T cell compartment in humanized mice engrafted with iPSC-derived thymus organoids. Nat. Methods. 2022;19(10):1306–1319. doi: 10.1038/s41592-022-01583-3. [DOI] [PubMed] [Google Scholar]
  • 105.A tissue-engineered artificial human thymus from human iPSCs to study T cell immunity. Nat. Methods. 2022;19(10):1191–1192. doi: 10.1038/s41592-022-01584-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 106.Picot J., Ndour P.A., Lefevre S.D., El Nemer W., Tawfik H., Galimand J., Da Costa L., Ribeil J.A., de Montalembert M., Brousse V. A biomimetic microfluidic chip to study the circulation and mechanical retention of red blood cells in the spleen. Am. J. Hematol. 2015;90(4):339–345. doi: 10.1002/ajh.23941. [DOI] [PubMed] [Google Scholar]
  • 107.Gee K., Isani M.A., Fode A., Maselli K.M., Zuber S.M., Fowler K.L., Squillaro A.I., Nucho L.-M.A., Grikscheit T.C. Spleen organoid units generate functional human and mouse tissue-engineered spleen in a murine model. Tissue Eng. 2020;26(7–8):411–418. doi: 10.1089/ten.TEA.2019.0178. [DOI] [PubMed] [Google Scholar]
  • 108.Giese C., Lubitz A., Demmler C.D., Reuschel J., Bergner K., Marx U. Immunological substance testing on human lymphatic micro-organoids in vitro. J. Biotechnol. 2010;148(1):38–45. doi: 10.1016/j.jbiotec.2010.03.001. [DOI] [PubMed] [Google Scholar]
  • 109.Kim H.K., Kim H., Lee M.K., Choi W.H., Jang Y., Shin J.S., Park J.-Y., Bae D.H., Hyun S.-I., Kim K.H. Generation of human tonsil epithelial organoids as an ex vivo model for SARS-CoV-2 infection. Biomaterials. 2022;283 doi: 10.1016/j.biomaterials.2022.121460. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 110.Tsai S., McOlash L., Palen K., Johnson B., Duris C., Yang Q., Dwinell M.B., Hunt B., Evans D.B., Gershan J. Development of primary human pancreatic cancer organoids, matched stromal and immune cells and 3D tumor microenvironment models. BMC Cancer. 2018;18(1):1–13. doi: 10.1186/s12885-018-4238-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 111.Stein M.C., Braun F., Krebs C.F., Bunders M.J. Kidney organoid systems for studies of immune-mediated kidney diseases: challenges and opportunities. Cell Tissue Res. 2021;385(2):457–473. doi: 10.1007/s00441-021-03499-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 112.Chakrabarti J., Koh V., So J.B.Y., Yong W.P., Zavros Y. A preclinical human-derived autologous gastric cancer organoid/immune cell Co-culture model to predict the efficacy of targeted therapies. J. Vis. Exp. 2021;173 doi: 10.3791/61443. [DOI] [PubMed] [Google Scholar]
  • 113.Holokai L.L., Chakrabarti J., Lundy J., Croagh D., Woodson C., Steele N., di Magliano M.P., Frankel T., Jenkins B., Wang J. An organoid/immune cell Co‐culture as a predictive model for the treatment of pancreatic cancer. Faseb. J. 2019;33(S1):869.20. 869.20. [Google Scholar]
  • 114.Schreurs R.R., Baumdick M.E., Drewniak A., Bunders M.J. In vitro co-culture of human intestinal organoids and lamina propria-derived CD4+ T cells. STAR Protoc. 2021;2(2) doi: 10.1016/j.xpro.2021.100519. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 115.Recaldin T., Steinacher L., Gjeta B., Harter M.F., Adam L., Kromer K., Mendes M.P., Bellavista M., Nikolaev M., Lazzaroni G. Human organoids with an autologous tissue-resident immune compartment. Nature. 2024:1–9. doi: 10.1038/s41586-024-07791-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 116.Holokai L., Chakrabarti J., Lundy J., Croagh D., Adhikary P., Richards S.S., Woodson C., Steele N., Kuester R., Scott A. Murine-and human-derived autologous organoid/immune cell co-cultures as pre-clinical models of pancreatic ductal Adenocarcinoma. Cancers. 2020;12(12):3816. doi: 10.3390/cancers12123816. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 117.Santos A.J.M., van Unen V., Lin Z., Chirieleison S.M., Ha N., Batish A., Chan J.E., Cedano J., Zhang E.T., Mu Q., Guh-Siesel A., Tomaske M., Colburg D., Varma S., Choi S.S., Christophersen A., Baghdasaryan A., Yost K.E., Karlsson K., Ha A., Li J., Dai H., Sellers Z.M., Chang H.Y., Dunn J.C.Y., Zhang B.M., Mellins E.D., Sollid L.M., Fernandez-Becker N.Q., Davis M.M., Kuo C.J. A human autoimmune organoid model reveals IL-7 function in coeliac disease. Nature. 2024;632(8024):401–410. doi: 10.1038/s41586-024-07716-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 118.Yuki K., Cheng N., Nakano M., Kuo C.J. Organoid models of tumor immunology. Trends Immunol. 2020;41(8):652–664. doi: 10.1016/j.it.2020.06.010. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 119.Seok J., Warren H.S., Cuenca A.G., Mindrinos M.N., Baker H.V., Xu W., Richards D.R., McDonald-Smith G.P., Gao H., Hennessy L. Genomic responses in mouse models poorly mimic human inflammatory diseases. Proc. Natl. Acad. Sci. U. S. A. 2013;110(9):3507–3512. doi: 10.1073/pnas.1222878110. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 120.Anderson G., Jenkinson E.J., Moore N.C., Owen J.J. MHC class II-positive epithelium and mesenchyme cells are both required for T-cell development in the thymus. Nature. 1993;362(6415):70–73. doi: 10.1038/362070a0. [DOI] [PubMed] [Google Scholar]
  • 121.Carey B.S., Poulton K.V., Poles A. Factors affecting HLA expression: a review. Int. J. Immunogenet. 2019;46(5):307–320. doi: 10.1111/iji.12443. [DOI] [PubMed] [Google Scholar]
  • 122.Sun X., Xu J., Lu H., Liu W., Miao Z., Sui X., Liu H., Su L., Du W., He Q. Directed differentiation of human embryonic stem cells into thymic epithelial progenitor-like cells reconstitutes the thymic microenvironment in vivo. Cell Stem Cell. 2013;13(2):230–236. doi: 10.1016/j.stem.2013.06.014. [DOI] [PubMed] [Google Scholar]
  • 123.Parent A.V., Russ H.A., Khan I.S., LaFlam T.N., Metzger T.C., Anderson M.S., Hebrok M. Generation of functional thymic epithelium from human embryonic stem cells that supports host T cell development. Cell Stem Cell. 2013;13(2):219–229. doi: 10.1016/j.stem.2013.04.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 124.Ramos S.A., Morton J.J., Yadav P., Reed B., Alizadeh S.I., Shilleh A.H., Perrenoud L., Jaggers J., Kappler J., Jimeno A. Generation of functional human thymic cells from induced pluripotent stem cells. J. Allergy Clin. Immunol. 2022;149(2):767–781. e6. doi: 10.1016/j.jaci.2021.07.021. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 125.Shah S.B., Singh A. Creating artificial lymphoid tissues to study immunity and hematological malignancies. Curr. Opin. Hematol. 2017;24(4):377. doi: 10.1097/MOH.0000000000000356. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 126.Kraus T., Lubitz A., Schließer U., Giese C., Reuschel J., Brecht R., Engert J., Winter G. Evaluation of a 3D human artificial lymph node as test model for the assessment of immunogenicity of protein aggregates. J. Pharmaceut. Sci. 2019;108(7):2358–2366. doi: 10.1016/j.xphs.2019.02.011. [DOI] [PubMed] [Google Scholar]
  • 127.Bajénoff M., Egen J.G., Koo L.Y., Laugier J.P., Brau F., Glaichenhaus N., Germain R.N. Stromal cell networks regulate lymphocyte entry, migration, and territoriality in lymph nodes. Immunity. 2006;25(6):989–1001. doi: 10.1016/j.immuni.2006.10.011. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 128.Iolascon A., Andolfo I., Barcellini W., Corcione F., Garçon L., De Franceschi L., Pignata C., Graziadei G., Pospisilova D., Rees D.C. Recommendations regarding splenectomy in hereditary hemolytic anemias. Haematologica. 2017;102(8):1304. doi: 10.3324/haematol.2016.161166. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 129.Massoni-Badosa R., Soler-Vila P., Aguilar-Fernández S., Nieto J.C., Elosua-Bayes M., Marchese D., Kulis M., Vilas-Zornoza A., Bühler M.M., Rashmi S. An atlas of cells in the human tonsil. bioRxiv. 2022 doi: 10.1016/j.immuni.2024.01.006. 2022.06. 24.497299. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 130.Garcia-Alonso L., Handfield L.-F., Roberts K., Nikolakopoulou K., Fernando R.C., Gardner L., Woodhams B., Arutyunyan A., Polanski K., Hoo R. Mapping the temporal and spatial dynamics of the human endometrium in vivo and in vitro. Nat. Genet. 2021;53(12):1698–1711. doi: 10.1038/s41588-021-00972-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 131.Fleck J.S., Sanchís-Calleja F., He Z., Santel M., Boyle M.J., Camp J.G., Treutlein B. Resolving organoid brain region identities by mapping single-cell genomic data to reference atlases. Cell Stem Cell. 2021;28(6):1148–1159. e8. doi: 10.1016/j.stem.2021.02.015. [DOI] [PubMed] [Google Scholar]
  • 132.Ong H.T., Karatas E., Grenci G., Dilasser F., Raffi S.B.M., Blanc D., Poquillon T.E., Drimaracci E., Mikec D., Thiel C. Digitalized organoids: integrated pipeline for 3D high-speed analysis of organoid structures using multilevel segmentation and cellular topology. bioRxiv. 2023;11(8):566158. 2023. [Google Scholar]
  • 133.Beghin A., Grenci G., Sahni G., Guo S., Rajendiran H., Delaire T., Mohamad Raffi S.B., Blanc D., de Mets R., Ong H.T. Automated high-speed 3D imaging of organoid cultures with multi-scale phenotypic quantification. Nat. Methods. 2022;19(7):881–892. doi: 10.1038/s41592-022-01508-0. [DOI] [PubMed] [Google Scholar]
  • 134.Roco J.A., Mesin L., Binder S.C., Nefzger C., Gonzalez-Figueroa P., Canete P.F., Ellyard J., Shen Q., Robert P.A., Cappello J. Class-switch recombination occurs infrequently in germinal centers. Immunity. 2019;51(2):337–350. e7. doi: 10.1016/j.immuni.2019.07.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 135.Willerslev-Olsen A., Krejsgaard T., Lindahl L.M., Bonefeld C.M., Wasik M.A., Koralov S.B., Geisler C., Kilian M., Iversen L., Woetmann A. Bacterial toxins fuel disease progression in cutaneous T-cell lymphoma. Toxins. 2013;5(8):1402–1421. doi: 10.3390/toxins5081402. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 136.De Martin A., Stanossek Y., Lütge M., Cadosch N., Onder L., Cheng H.-W., Brandstadter J.D., Maillard I., Stoeckli S.J., Pikor N.B. PI16+ reticular cells in human palatine tonsils govern T cell activity in distinct subepithelial niches. Nat. Immunol. 2023:1–11. doi: 10.1038/s41590-023-01502-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 137.Li M., Izpisua Belmonte J.C. Organoids—preclinical models of human disease. N. Engl. J. Med. 2019;380(6):569–579. doi: 10.1056/NEJMra1806175. [DOI] [PubMed] [Google Scholar]
  • 138.Nikolaev M., Mitrofanova O., Broguiere N., Geraldo S., Dutta D., Tabata Y., Elci B., Brandenberg N., Kolotuev I., Gjorevski N. Homeostatic mini-intestines through scaffold-guided organoid morphogenesis. Nature. 2020;585(7826):574–578. doi: 10.1038/s41586-020-2724-8. [DOI] [PubMed] [Google Scholar]
  • 139.Gjorevski N., Nikolaev M., Brown T., Mitrofanova O., Brandenberg N., DelRio F., Yavitt F., Liberali P., Anseth K., Lutolf M. Tissue geometry drives deterministic organoid patterning. Science. 2022;375(6576) doi: 10.1126/science.aaw9021. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 140.Chen C., Rengarajan V., Kjar A., Huang Y. A matrigel-free method to generate matured human cerebral organoids using 3D-Printed microwell arrays. Bioact. Mater. 2021;6(4):1130–1139. doi: 10.1016/j.bioactmat.2020.10.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 141.Chooi W.H., Ng C.Y., Ow V., Harley J., Ng W., Hor J.H., Low K.E., Malleret B., Xue K., Ng S.Y. Defined Alginate hydrogels support spinal cord organoid derivation, maturation, and modeling of spinal cord diseases. Adv. Healthcare Mater. 2023;12(9) doi: 10.1002/adhm.202202342. [DOI] [PubMed] [Google Scholar]
  • 142.Lee A., Hudson A.R., Shiwarski D.J., Tashman J.W., Hinton T.J., Yerneni S., Bliley J.M., Campbell P.G., Feinberg A.W. 3D bioprinting of collagen to rebuild components of the human heart. Science. 2019;365(6452):482–487. doi: 10.1126/science.aav9051. [DOI] [PubMed] [Google Scholar]
  • 143.Legnini I., Emmenegger L., Zappulo A., Wurmus R., Oliveras Martinez A., Cerda Jara C., Boltengagen A., Hessler T., Mastrobuoni G., Rybak-Wolf A. Spatio-temporal, optogenetic control of gene expression in organoids. bioRxiv. 2022 doi: 10.1038/s41592-023-01986-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 144.Takebe T., Sekine K., Enomura M., Koike H., Kimura M., Ogaeri T., Zhang R.-R., Ueno Y., Zheng Y.-W., Koike N. Vascularized and functional human liver from an iPSC-derived organ bud transplant. Nature. 2013;499(7459):481–484. doi: 10.1038/nature12271. [DOI] [PubMed] [Google Scholar]
  • 145.Mansour A.A., Gonçalves J.T., Bloyd C.W., Li H., Fernandes S., Quang D., Johnston S., Parylak S.L., Jin X., Gage F.H. An in vivo model of functional and vascularized human brain organoids. Nat. Biotechnol. 2018;36(5):432–441. doi: 10.1038/nbt.4127. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 146.Zhu W., Qu X., Zhu J., Ma X., Patel S., Liu J., Wang P., Lai C.S.E., Gou M., Xu Y. Direct 3D bioprinting of prevascularized tissue constructs with complex microarchitecture. Biomaterials. 2017;124:106–115. doi: 10.1016/j.biomaterials.2017.01.042. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 147.Homan K.A., Gupta N., Kroll K.T., Kolesky D.B., Skylar-Scott M., Miyoshi T., Mau D., Valerius M.T., Ferrante T., Bonventre J.V. Flow-enhanced vascularization and maturation of kidney organoids in vitro. Nat. Methods. 2019;16(3):255–262. doi: 10.1038/s41592-019-0325-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 148.Krüger M., Oosterhoff L.A., van Wolferen M.E., Schiele S.A., Walther A., Geijsen N., De Laporte L., van der Laan L.J., Kock L.M., Spee B. Cellulose nanofibril hydrogel promotes hepatic differentiation of human liver organoids. Adv. Healthcare Mater. 2020;9(6) doi: 10.1002/adhm.201901658. [DOI] [PubMed] [Google Scholar]
  • 149.Skylar-Scott M.A., Huang J.Y., Lu A., Ng A.H., Duenki T., Liu S., Nam L.L., Damaraju S., Church G.M., Lewis J.A. Orthogonally induced differentiation of stem cells for the programmatic patterning of vascularized organoids and bioprinted tissues. Nat. Biomed. Eng. 2022;6(4):449–462. doi: 10.1038/s41551-022-00856-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 150.Zhao X., Xu Z., Xiao L., Shi T., Xiao H., Wang Y., Li Y., Xue F., Zeng W. Review on the vascularization of organoids and organoids-on-a-C hip. Front. Bioeng. Biotechnol. 2021;9 doi: 10.3389/fbioe.2021.637048. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 151.Shao Y., Saredy J., Yang W.Y., Sun Y., Lu Y., Saaoud F., Drummer C., IV, Johnson C., Xu K., Jiang X. Vascular endothelial cells and innate immunity. Arterioscler. Thromb. Vasc. Biol. 2020;40(6):e138–e152. doi: 10.1161/ATVBAHA.120.314330. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 152.Chen Z., Sugimura R., Zhang Y.S., Ruan C., Wen C. Organoids in concert: engineering in vitro models toward enhanced fidelity. Aggregate. 2024:e478. [Google Scholar]
  • 153.Glaser D.E., Curtis M.B., Sariano P.A., Rollins Z.A., Shergill B.S., Anand A., Deely A.M., Shirure V.S., Anderson L., Lowen J.M. Organ-on-a-chip model of vascularized human bone marrow niches. Biomaterials. 2022;280 doi: 10.1016/j.biomaterials.2021.121245. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 154.Schreurs R.R., Baumdick M.E., Drewniak A., Bunders M.J. In vitro co-culture of human intestinal organoids and lamina propria-derived CD4+ T cells. STAR protocols. 2021;2(2) doi: 10.1016/j.xpro.2021.100519. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 155.Kanton S., Paşca S.P. Human assembloids. Development. 2022;149(20) doi: 10.1242/dev.201120. [DOI] [PubMed] [Google Scholar]
  • 156.Miura Y., Li M.-Y., Birey F., Ikeda K., Revah O., Thete M.V., Park J.-Y., Puno A., Lee S.H., Porteus M.H. Generation of human striatal organoids and cortico-striatal assembloids from human pluripotent stem cells. Nat. Biotechnol. 2020;38(12):1421–1430. doi: 10.1038/s41587-020-00763-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 157.Miura Y., Li M.-Y., Revah O., Yoon S.-J., Narazaki G., Pașca S.P. Engineering brain assembloids to interrogate human neural circuits. Nat. Protoc. 2022;17(1):15–35. doi: 10.1038/s41596-021-00632-z. [DOI] [PubMed] [Google Scholar]
  • 158.Yin F., Zhang X., Wang L., Wang Y., Zhu Y., Li Z., Tao T., Chen W., Yu H., Qin J. HiPSC-derived multi-organoids-on-chip system for safety assessment of antidepressant drugs. Lab Chip. 2021;21(3):571–581. doi: 10.1039/d0lc00921k. [DOI] [PubMed] [Google Scholar]
  • 159.Tao T., Deng P., Wang Y., Zhang X., Guo Y., Chen W., Qin J. Microengineered multi‐organoid system from hiPSCs to recapitulate human liver‐islet Axis in normal and type 2 diabetes. Adv. Sci. 2022;9(5) doi: 10.1002/advs.202103495. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 160.Skardal A., Aleman J., Forsythe S., Rajan S., Murphy S., Devarasetty M., Zarandi N.P., Nzou G., Wicks R., Sadri-Ardekani H. Drug compound screening in single and integrated multi-organoid body-on-a-chip systems. Biofabrication. 2020;12(2) doi: 10.1088/1758-5090/ab6d36. [DOI] [PubMed] [Google Scholar]
  • 161.Bai L., Wu Y., Li G., Zhang W., Zhang H., Su J. AI-enabled organoids: construction, analysis, and application. Bioact. Mater. 2024;31:525–548. doi: 10.1016/j.bioactmat.2023.09.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 162.Shi H., Kowalczewski A., Vu D., Liu X., Salekin A., Yang H., Ma Z. Organoid intelligence: integration of organoid technology and artificial intelligence in the new era of in vitro models. Med. Nov. Technol. Devices. 2024;21 doi: 10.1016/j.medntd.2023.100276. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 163.Cai H., Ao Z., Tian C., Wu Z., Liu H., Tchieu J., Gu M., Mackie K., Guo F. Brain organoid reservoir computing for artificial intelligence. Nat. Electron. 2023;6(12):1032–1039. [Google Scholar]

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Data Availability Statement

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