Abstract
Innate lymphoid cells (ILCs) play important roles in tissue homeostasis and host defense, but the proliferative properties and migratory behavior of especially human ILCs remain poorly understood. Here we mapped at single-cell resolution the spatial distribution of quiescent and proliferative human ILCs within the vascular versus tissue compartment. For this purpose, we employed MISTRG humanized mice as an in-vivo model to study human ILCs. We uncovered subset-specific differences in the proliferative status between vascular and tissue ILCs within lymphoid and non-lymphoid organs. We also identified CD117-CRTH2-CD45RA+ ILCs in the spleen that were highly proliferative and expressed the transcription factor TCF-1. These proliferative ILCs were present during the neonatal period in human blood and emerged early during population of the human ILC compartment in MISTRG mice transplanted with human hematopoietic stem and progenitor cells (HSPCs). Single-cell RNA-sequencing combined with intravascular cell labeling suggested that proliferative ILCs actively migrated from the local vasculature into the spleen tissue. Collectively, our comprehensive map reveals the proliferative topography of human ILCs, linking cell migration and spatial compartmentalization with cell division.
Keywords: innate lymphoid cells, proliferation, migration, tissue residency, ontogeny, spleen, humanized mice, single-cell RNA-sequencing
Introduction
ILCs belong to a new lineage of immune cells of lymphoid origin that has innate properties, such as rapid effector function (1–6). Similar to T lymphocytes, ILCs are classified into distinct subsets that express lineage-defining transcription factors and effector molecules: (i) Cytotoxic natural killer (NK) cells expressing the signature transcription factors EOMES and T-BET; (ii) ILC1s expressing T-BET and the signature cytokine interferon gamma (IFNγ); (iii) ILC2s expressing GATA3 and the cytokines interleukin-5 (IL-5) and IL-13; (iv) ILC3s expressing RORγt and the effector cytokines IL-17 and/or IL-22. Surface expression of IL-7Rα (CD127) is generally used to distinguish helper-like CD127+ ILC1s, ILC2s, and ILC3s from CD127-CD94+ human NK cells (7).
ILCs inhabit various organs where they are strategically positioned to help maintain organ homeostasis and to participate in host defense. ILCs are considered to be mainly tissue-resident at steady state, at least in mice (8). However, ILCs actively migrate during their ontogeny and tissue injury (9–19) and the function of ILCs is linked to their localization within tissues (20, 21). The relative frequency of human ILC subsets differs between organs (22, 23). Moreover, differences in ILC compartmentalization between mice and humans have been reported (23). However, the distribution of human ILCs between the vascular and tissue space is unknown due to the difficulty of studying human ILCs in vivo.
ILCs lack antigen-specific receptors but expand in response to locally produced cytokines. Recently, the concept that mature ILCs differentiate locally from systemic ILC precursors (ILCPs) that enter tissues has been established (11, 24–26). However, the mechanisms of ILC proliferation, especially in the human context, are not completely understood. For example, it is unclear where ILCs proliferate and whether ILC proliferation is spatially compartmentalized. We hypothesized that ILCs differ in their proliferative status and that it is linked to their anatomical location. To test this hypothesis, we used a humanized mouse model to investigate human ILCs in vivo because human ILC studies are largely restricted to ex-vivo and in-vitro experiments. This model named “MISTRG” expresses human cytokines (27–29) and supports the development of human NK cells and all types of ILCs after transplantation with human hematopoietic stem and progenitor cells (30, 31). Therefore, this model allows studying human ILCs directly in their surrounding tissue microenvironment and to investigate their ontogeny, migration, and proliferation in vivo.
Here, we comprehensively resolved the spatial distribution of quiescent and proliferating human ILCs in bone marrow, spleen, liver, and lung of MISTRG mice transplanted with human CD34+ HSPCs. Intravascular labeling to distinguish vascular from tissue ILCs revealed that human ILCs have a specific proliferative topology within lymphoid and non-lymphoid organs. Moreover, we identified a specific population of CD117-CRTH2-CD45RA+ ILCs with high proliferative potential that expressed the transcription factor TCF-1, emerged early during ontogeny, and acquired tissue residency in the spleen. Our findings support the notion that ILCs residing in the local organ vasculature are primed for proliferation before entering the extravascular (tissue) compartment.
Materials and methods
Human blood
We obtained human tissues through Karolinska University Hospital Huddinge after informed consent was given by all tissue donors following verbal and written information. Umbilical cord blood was obtained from Caesarean sections. Buffy coats were provided by the local Blood Bank. Approval for the use of human tissues was obtained from the Ethical Review Board at Karolinska Institutet (#2006/229-31/3, 2015/1368-31/4, 2015/2122-32, 2016/1415-32, 2019-03863). The study was conducted according to the Declaration of Helsinki.
Generation of mice with a human immune system
To study human ILCs in vivo, we used MISTRG mice as in our recent study (31). MISTRG mice on the Rag2 -/- Il2rg -/- background were previously described (27, 32) and express human genes encoding the proteins M-CSF, IL-3/GM-CSF, SIRPα, and TPO through gene knock-in. For the experiments, we used both male and female MISTRG mice that were heterozygous for SIRPA and homozygous for all other human genes. MISTRG mice were housed under specific pathogen-free conditions and did not receive any prophylactic antibiotics. Human CD34+ cells containing HSPCs were purified from umbilical cord blood (pooled from several donors) with the CD34+ microbead kit (Miltenyi Biotec) as previously described (31). Newborn MISTG mice that were 3-5 days old were then injected with 1 x 105 human CD34+ cells (pooled from several donors) via the intrahepatic route as described (31, 33). Mice did not receive any irradiation as pre-conditioning before transplantation except for the experiments shown in Supplementary Figure 4 and for the single-cell RNA-sequencing of spleen ILCs. In these cases, mice were irradiated once with 100 cGy before HSPC transplantation. Successful engraftment with human CD45+ hematopoietic cells was confirmed by flow cytometry of blood collected from MISTRG mice at ~6-8 weeks post-transplantation. In general, HSPC-engrafted MISTRG mice were used for experiments 7-12 weeks after injection with human CD34+ cells, except for the kinetics experiments where mice were analyzed also at 3-5 weeks post-transplantation. All mouse experiments were approved by the Linköping Animal Experimentation Ethics Committee (ethical permits #29-15 and #03127-2020). The use of MISTRG mice requires Material Transfer Agreements with Regeneron Pharmaceuticals and Yale University.
Labeling of intravascular ILCs in MISTRG mice
Human CD45+ hematopoietic cells in the blood and the organ vasculature of HSPC-engrafted MISTRG mice were labeled as previously described (31). For this purpose, 2 μg of a phycoerythrin (PE)-conjugated anti-human CD45 antibody (Biolegend, clone HI30) was injected intravenously (IV) 5 minutes before organ harvest without any prior perfusion. After isolation from various organs (bone marrow, spleen, liver, lung), cells were stained ex vivo with an APC-Cy7-conjugated anti-human CD45 antibody and other cell surface antibodies to determine the frequency of intravascular (IV CD45-PE+) and extravascular (IV CD45-PE-) ILCs by flow cytometry. Blood was also analyzed by flow cytometry to confirm successful intravascular labelling, defined as >90% IV CD45-PE+ human cells in blood.
Isolation of human ILCs from MISTRG mice and from human blood
Lung, liver, spleen, and bone marrow harvested from MISTRG mice were processed as described in (31). Briefly, small lung pieces were digested at 37°C for 1 hour in RPMI 1640 with 5% FCS, 0.2 mg/mL collagenase IV (Sigma) and 0.02 mg/mL DNAse I (Sigma). Digested lung pieces were mashed using a syringe plunger to mechanically dissociate the cells and passed through a 70 µm filter. Lung lymphocytes were then further purified by density gradient centrifugation with Lymphoprep (Fisher Scientific). Like the lungs, crushed liver pieces were digested at 37°C for 1 hour in digestion media (see above) and then washed with RPMI 1640/5% FCS. To remove hepatocytes, digested livers were centrifuged at 300 rpm for 3 minutes at 4°C. Then, leukocytes in the supernatant were pelleted by centrifugation (1,700 rpm for 10 minutes at 4°C) before further purification by density gradient centrifugation with 27.5% Optiprep (Abbott Rapid Diagnostics). Spleen were mechanically dissociated with a syringe plunger before passing through a 70 µm filter. For bone marrow, hind legs harvested from MISTRG mice were cleaned, cut at both ends, and bone marrow cells flushed from the bone with a syringe and 25G needle. Cells isolated from all four organs were treated with red blood cell lysis buffer (from Karolinska University Hospital), washed with RPMI 1640, and counted prior to staining for flow cytometry. Blood was obtained from HSPC-engrafted MISTRG mice by cardiac puncture and red blood cell lysis performed before staining cells for flow cytometry. Density gradient centrifugation was used to isolate peripheral blood mononuclear cells from human cord blood and buffy coats. The CD34- fraction from cord blood (after immunomagnetic selection) was used for flow cytometry of ILCs.
Flow cytometry of human ILCs
Surface staining of immune cells isolated from human blood or from HSPC-engrafted MISTRG mice was performed essentially as previously described (31). Briefly, suspensions of single cells were incubated with the fluorochrome- or biotin-conjugated antibodies listed in Supplementary Table 1 in 100 μl FACS buffer (PBS/2% FCS) for 1 hour at room temperature. After washing, cells were incubated with streptavidin-Brilliant Violet 711 (BD Biosciences) for 30 minutes on ice. Then, surface-stained cells were incubated with fixable viability dye-eFluor506 (eBioscience) for 15 minutes on ice. For detection of Ki67 and transcription factors, cells were fixed and permeabilized with the Foxp3/Transcription Factor Staining kit (eBioscience) after surface and viability staining. Fixed and permeabilized cells were then stained with antibodies against transcription factors or Ki67 as well as matched isotype control antibodies. For cell cycle analysis, Ki67-stained cells were incubated with 20 μl propidium iodide (PI) (eBioscience) per 5 x 106 cells for 30 minutes at room temperature in 100 μl Cytoperm buffer (BD Biosciences) containing RNase A. Intracellular staining for IFNγ was performed with the Cytofix/Cytoperm kit (BD Biosciences) as described (31) after 6 hours of stimulation with phorbol 12-myristate 13-acetate (PMA) (Sigma) and ionomycin (Sigma). After cell acquisition on a LSR II Fortessa flow cytometer (BD Biosciences), FlowJoV10 software was used for data analysis. ILCs were gated as viable human CD45+CD127+CD94-CD3-TCRαβ- cells that were negative for Lineage (Lin) markers (CD11c, CD14, CD19, CD123, FceRI) as well as lacking human CD34 and mouse CD45 as indicated.
Single-cell RNA-sequencing of ILCs
Cells for single-cell RNA-sequencing were isolated from the spleens of two months-old irradiated and HSPC-engrafted MISTRG mice after intravascular cell labeling was performed with IV-injected anti-CD45-PE antibody (see above). To obtain sufficient cells, spleen cells were pooled from ten MISTRG mice, engrafted with three pooled batches of human CD34+ cells to reduce the impact of HSPC donor variability. ILCs were then purified as live CD45+CD127+CD94-CD3-TCRαβ-Lin-CD34- lymphocytes and divided into intravascular (IV-CD45-PE+) and extravascular (IV-CD45-PE-) ILCs. Lin markers included CD11c, CD14, CD19, CD123, FceRI. Single-cell libraries were prepared using the 10x Genomics Single Cell 3’ Library v2 kit according to the manufacturer’s instructions. Libraries were sequenced on a Nextseq 550 (Illumina) and mapped to the human GRCh38 reference genome using the Cell Ranger 3.0.1 pipeline (10x Genomics). Both extravascular and intravascular samples were analyzed using Seurat 4.1.1, with cut-offs applied for genes expressed in a minimum of 3 cells, and cells expressing a minimum of 200 genes. The samples were then merged into a single Seurat object using the merge function. Further quality control selected cells with > 100 genes, < 4,000 genes, and < 5 percent mitochondrial genes, using the subset function on the merged dataset. Log normalization to 10,000 counts was next applied to the remaining 5,853 cells. The FindVariableFeatures function was applied to select 2,000 highly variable genes, followed by ScaleData, which was then used to produce a PCA and neighborhood graph (10 principal components). Louvain clustering was applied with the FindClusters function with resolution 0.45, resulting in 11 clusters (Supplementary Figure 5A). The FindAllMarkers function (min.pct=0.25, logfc.threshold=0.25) function was applied to identify marker genes for each cluster, pct.1 represents the fraction of cells expressing the gene in the specified cluster being tested, while pct.2 represents the remaining cells. To better represent the main ILC populations we applied the subset function to extract clusters containing ILCs (Clusters 0-5), resulting in 4,936 remaining cells (2,704 vascular and 2,232 tissue cells). PCA, neighborhood graph (10 principal components), and Louvain clustering (resolution 0.44) was reapplied to the new Seurat object, resulting in 8 clusters. This was the Seurat object used for all further analysis. Uniform Manifold Approximation and Projection (UMAP) embedding was produced using 10 principal components (Figure 7B). The FindAllMarkers function (min.pct=0.25, logfc.threshold=0.25) function was applied to identify marker genes for each cluster in the final object. Violin and feature plots were produced using the VlnPlot and FeaturePlot function, respectively. Cell cycle analysis of ILC clusters was performed with the CellCycleScoring function. To identify biological processes over-represented within the gene signature of MKI67-ILCs, WebGestalt (http://webgestalt.org/) was employed using default parameters.
Statistical analysis
For statistical comparisons between two groups Student’s t test was used. One-way ANOVA was employed to determine statistical significance between multiple groups. ANOVA post hoc testing was done with Tukey’ Multiple Comparison Test. Results were considered statistically significant with α= 0.05. Mean and standard error of the mean (SEM) are shown in the figures. The number of biological replicates and independent experiments are stated in the figure legends. GraphPad Prism 8 was used to perform statistical analysis and create graphs.
Cartoons to illustrate experimental outlines
The cartoons in Figures 1A, 2A, 7A, and S6 were prepared using images from Mind the Graph (http://mindthegraph.com).
Results
Proliferative status of human ILCs in lymphoid and non-lymphoid organs
We first asked in which organs ILC proliferation takes place. To investigate the link between human ILC localization and proliferation, we used MISTRG mice transplanted with human CD34+ HSPCs (Figure 1A) as in our previous studies (27, 31, 33). MISTRG mice were not pre-conditioned by irradiation before HSPC transplantation. ILCs derived from human HSPCs were gated as CD45+CD127+CD94- cells that lacked T cell markers (CD3, TCRαβ) and other Lin markers (CD11c, CD14, CD19, CD123, FceRI) (Supplementary Figure 1). Then the cell division status of human ILCs and NK cells (CD45+CD127-CD94+CD3-TCRαβ-Lin-) was determined by intracellular staining for the proliferation marker Ki67 in hematopoietic (bone marrow), lymphoid (spleen), and non-lymphoid organs (lung, liver). Flow cytometry analysis revealed a high frequency of Ki67+ ILCs in bone marrow, while in peripheral organs the highest frequency of proliferating ILCs was found in the spleen (Figures 1B, C). In contrast, proliferating NK cells (Figures 1B, C) and T cells (Supplementary Figures 2A, B) were mostly located in non-lymphoid organs (lung and liver) as well as in the bone marrow. These results indicate that ILCs have an organ-specific proliferative hierarchy that is distinct from that of NK cells and T lymphocytes.
Spatial distribution of quiescent and proliferative ILCs within vascular and tissue compartments
The above findings suggested that human ILC proliferation may be spatially compartmentalized and prompted us to determine the localization of proliferating ILCs within vascular and tissue compartments. To distinguish vascular from tissue-resident Ki67+ ILCs, we employed intravascular labeling of human CD45+ hematopoietic cells by the IV injection of a PE-conjugated anti-human CD45 antibody (Figure 2A), as we did previously (31, 33). This experimental approach allowed us to distinguish four different ILC populations (Figure 2A): (i) quiescent tissue-resident (Q-R) ILCs (Ki67- IVCD45-PE-), (ii) quiescent intravascular (Q-IV) ILCs (Ki67- IVCD45-PE+), (iii) proliferative tissue-resident (P-R) ILCs (Ki67+ IVCD45-PE-), and (iv) proliferative intravascular (P-IV) ILCs (Ki67+ IVCD45-PE+). The distribution of these four populations differed among ILC subsets (CD117-CRTH2- ILC1s, CRTH2+ ILC2s, CD117+CRTH2- ILCPs/ILC3s) in different organs (Figures 2B, C). ILC2s were mostly quiescent and intravascular in spleen, lung, and liver (Figures 2B, C). NK cells (Supplementary Figures 3A, B) and T lymphocytes (Supplementary Figure 3C, D) showed a similar pattern, but with more proliferating cells within the lung and liver vasculature than ILC2s. ILC3s and CD117+ ILCPs were largely quiescent in spleen, lung, and liver, whereas in the bone marrow they were proliferative and tissue-resident (Figures 2B, C). In the spleen ILC3s and CD117+ ILCPs were located preferentially within the tissue compartment, whereas they mostly had an intravascular localization in the lung and liver (Figures 2B, C). CD117-CRTH2- ILC1s on the other hand were more proliferative than the other ILC subsets, especially in the spleen (Figures 2B, C). Moreover, Ki67+ ILC1s were present in the local vasculature of peripheral organs (spleen, lung, liver), whereas in the bone marrow they mostly resided in the extravascular space (Figures 2B, C). Combined, these data suggest that human ILC subsets differ in their proliferative state and spatial compartmentalization within organs.
CD117-CRTH2-CD45RA+ ILCs in the spleen are highly proliferative
Having discovered discrete subsets of Ki67+ ILCs, we further examined the proliferation of ILCs with an ILC1 surface phenotype (CD117-CRTH2-). For this purpose, we divided ILC1s into two subsets based on surface expression of CD45RA, a marker for immature ILCs (24, 34, 35), although it is also uniformly expressed by mature NK cells. Ki67+ cells among CD117-CRTH2- ILCs mostly expressed CD45RA on their cell surface in all organs examined (Figure 3A). Moreover, there was a large population of CD117-CRTH2-CD45RA+ ILCs in the spleen that was Ki67+ and present in both the intravascular and extravascular compartment of the spleen (Figures 3B, C). Intravascular Ki67+ CD45RA+ ILC1s were also present in lung and liver, whereas proliferating CD45RA+ ILC1s were predominantly extravascular in the bone marrow (Figures 3B, C). Further flow cytometric analysis revealed that proliferative CD117-CRTH2-CD45RA+ ILCs in the spleen were mostly in G1 phase of the cell cycle (Figure 3D). We conclude that proliferative CD117-CRTH2- ILCs have an immature surface phenotype and mostly reside within both the vascular and tissue compartment of the spleen.
Proliferative CD117-CRTH2-CD45RA+ ILCs express the transcription factor TCF-1
To further elucidate the features of proliferating CD117-CRTH2-CD45RA+ ILCs, we examined the expression of transcription factors that define ILC lineages. As expected, CD117-CRTH2-CD45RA+ ILCs from the spleen of HSPC-engrafted MISTRG mice lacked expression of EOMES and RORγt (Figure 4A). In addition, the majority of splenic CD117-CRTH2-CD45RA+ ILCs did not express intracellular T-BET protein, the signature transcription factor for ILC1s, whereas NK cells were uniformly T-BET+ (Figure 4A). The observation that most CD117-CRTH2- ILCs were Ki67+ but lacked intracellular T-BET protein, suggested that CD117-CRTH2- ILCs contained proliferating immature ILCs. To further explore this possibility, we determined expression of the transcription factor TCF-1 that is associated with proliferative potential (11, 24, 36, 37). We also assessed the expression of PLZF, another transcription factor associated with ILC development (38–41). CD117-CRTH2 CD45RA+ ILCs expressed high amounts of intracellular TCF-1 protein, but not PLZF, which was expressed by the other ILC subsets including NK cells (Figure 4B). CD117+CRTH2- ILCPs/ILC3s also highly expressed TCF-1 but with only few Ki67+ cells, in contrast to CD117-CRTH2-CD45RA+ ILCs that were TCF-1hiKi67+ (Figure 4B). Therefore, two populations of ILCs with high TCF-1 expression could be distinguished, namely proliferative CD117-CRTH2-CD45RA+ ILCs and quiescent CD117+ ILCPs/ILC3s. The lack of T-BET expression indicated that splenic CD117-CRTH2-CD45RA+ ILCs do not represent bona-fide ILC1s. To further corroborate this notion, we examined production of IFNγ, the signature cytokine produced by ILC1s. As expected, most human NK cells expressed intracellular IFNγ protein in response to stimulation with PMA and ionomycin in vitro (Figure 4C). In contrast, neither human ILCs from the spleen of HSPC-engrafted MISTRG mice nor human ILCs from umbilical cord blood produced IFNγ after stimulation (Figure 4C). In summary, we found that CD117-CRTH2- ILCs in the spleen contain a proliferative population that expressed TCF-1 and had features of functionally immature ILCs.
Proliferative CD117-CRTH2-CD45RA+ ILCs are present in the circulation and in human umbilical cord blood
We next asked whether proliferative CD117-CRTH2-CD45RA+ ILCs resided in local vascular compartments and/or circulated between organs. The latter predicted that Ki67+ CD117-CRTH2-CD45RA+ ILCs were present in the systemic circulation. Consistent with this prediction, we found that circulating human CD117-CRTH2- ILCs in HSPC-engrafted MISTRG mice were mostly CD45RA+ (Figure 5A). Umbilical cord blood also contained a substantial proportion of CD117-CRTH2-CD45RA+ ILCs, whereas CD117-CRTH2-CD45RA+ ILCs were present in adult blood at a lower frequency (Figure 5A). Furthermore, we detected CD117-CRTH2-CD45RA+ ILCs in the blood of HSPC-engrafted MISTRG mice that were Ki67+ (Figure 5B). Ki67+ ILC2s and ILC3s/CD117+ ILCPs were also present in the blood of HSPC-engrafted MISTRG mice (Figure 5B), despite being less abundant in the local vasculature of the spleen, lung, and liver than Ki67+ CD45RA+ ILC1s (Figure 2C and 3C). This suggested that Ki67+ ILC2s and ILC3s/CD117+ ILCPs mostly recirculate through organs, whereas Ki67+ CD117-CRTH2-CD45RA+ ILCs may marginate and accumulate in the local vasculature, especially in the spleen. We next investigated whether proliferative CD117-CRTH2-CD45RA+ ILCs could also be detected in human blood. Ki67+ CD45RA+ ILC1s, as well as Ki67+ ILC2s and ILC3s/CD117+ ILCPs were rare in the blood of adult humans, consistent with a previous report (22), but more prevalent in umbilical cord blood, although less frequent than in the blood of HSPC-engrafted MISTRG mice (Figures 5B, C). Taken together, these findings indicate that CD117-CRTH2-CD45RA+ ILCs distribute via the vascular system and that they represent a conserved population in humans during early life.
CD117-CRTH2-CD45RA+ ILCs appear early during ontogeny
Their presence during the neonatal period suggested that CD117-CRTH2-CD45RA+ ILCs represented circulating immature cells that may seed various organs. To further explore the ontogeny of CD117-CRTH2-CD45RA+ ILCs, we examined the kinetics of human ILC reconstitution in MISTRG mice after transplantation with CD34+ HSPCs. CRTH2-CD117- ILCs were present in all organs including the spleen, lung, and liver (Figures 6A, B). At 3 weeks post-transplantation, CD117-CRTH2- ILCs were the prevalent ILC subset in peripheral organs (spleen, liver, lung) when compared to ILC2s and ILC3s (Figure 6A). These data support the notion that CD117-CRTH2- ILCs appeared early before other ILC subsets during development. In the spleen, the frequency of CD45RA+ cells within CD117-CRTH2- ILCs decreased over time (Figures 6C, D), indicating a potential conversion of CD45RA+ into CD45RA- CD117-CRTH2- ILCs.
Next, we investigated the developmental niche occupied by CD117-CRTH2-CD45RA+ ILCs in different organs of HSPC-engrafted MISTRG mice. We found that the frequency of CD117-CRTH2-CD45RA+ ILCs was the same whether MISTRG mice were irradiated or not before transplantation with human CD34+ HSPCs (Supplementary Figures 4A, B). This result suggested that clearing of their anatomical niche by irradiation is not required for the development of CD117-CRTH2-CD45RA+ ILCs in MISTRG mice. These results are in line with human data showing that reconstitution of CD117-CRTH2- ILC1s after hematopoietic stem cell transplantation occurs in the absence of myeloablation (42). Collectively, these data demonstrate that CD117-CRTH2-CD45RA+ ILCs appear early during development and inhabit a radio-insensitive developmental niche. These features indicate that CD117-CRTH2-CD45RA+ ILCs may contribute to the expanding ILC compartment in early life.
Heterogeneity of vascular and tissue ILCs in the spleen defined by single-cell RNA-sequencing
To further define the heterogeneity of human ILCs located in the intra- and extravascular compartments of the spleen, we employed single-cell RNA-sequencing using the 10x Genomics platform (Figure 7A). For this purpose, human ILCs were purified from the spleens of HSPC-engrafted MISTRG mice by cell sorting. Before spleen harvest, intravascular cell labeling with IV CD45-PE antibody was performed to isolate ILCs from the intravascular (IV CD45-PE+) and extravascular space (IV CD45-PE-) for single-cell RNA-sequencing. 11 transcriptionally different clusters could be distinguished after unsupervised clustering of cells by UMAP (Supplementary Figure 5A). After removal of minor contaminating clusters consisting of myeloid cells and red blood cells, 8 clusters consisting of 4,936 lymphocytes remained for further analysis (Figure 7B). Cluster 7 corresponded to B lymphocytes (JCHAIN, CD79A, HLA-DPA1) and cluster 5 was identified as T lymphocytes or T cell progenitors (CD3D, CD3G, TRBC1, RAG1, CD1B, CD1E, CD8B, LEF1) that lacked TCRαβ and CD3 surface expression (Supplementary Table 2).
We then focused our analysis on the six remaining ILC clusters. Cells in cluster 4 mostly had an intravascular localization (Figure 7C) and were identified as ILC1s (and/or possibly CD127+CD94- NK cells) based on genes expressed by ILC1s in human spleen (23), such lytic granule molecules (GZMK, GNLY, NKG7) and the chemokine CCL5 (Figure 7D and Supplementary Table 2). Cluster 6 expressed genes characteristic of ILC2s, such as the signature transcription factor GATA3, transcripts for the ILC2 surface markers KLRB1 (encoding CD161) and KLRG1, as well as the ILC2 signature genes HPGD and HPGDS (Figure 7E and Supplementary Table 2). ILC2s were present in both the vascular and tissue compartment of the spleen (Figure 7C).
Two separate clusters of ILC3s were present in the spleen (Figure 7B) that differed in their anatomical location. ILC3s of cluster 0 predominantly occupied the intravascular compartment of the spleen (Figure 7C). Consistent with their ILC3 identity, cells in cluster 0 were characterized by transcripts that are expressed by ILC3s in human spleen and other secondary lymphoid organs, such as TNFRSF25 (encoding DR3), TYROBP, NFKBIA, ZFP36 (23, 34, 43). In addition, ILC3s in cluster 0 expressed genes involved in cell migration, such as the adhesion molecules ITGB1 and CD44, as well as genes encoding S100A proteins (S100A4, S100A6, S100A10) (Figure 7F and Supplementary Table 2). Their gene signature suggested that intravascular ILC3s actively migrate into the extravascular space of the spleen. The second cluster (cluster 1) preferentially resided within the tissue compartment of the spleen (Figure 7C). ILC3s in cluster 1 expressed the transcription factor ID2, as well as the ILC3 signatures genes LTB and TNFRSF4 (encoding OX40) that are involved in lymphoid tissue organogenesis and interaction of ILC3s with other cells (Figure 7F and Supplementary Table 2). Cluster 1 cells transcribed other genes that are expressed by human ILC3s in secondary lymphoid organs, such as B2M, HLA-B, HLA-C, TNFRSF18 (encoding GITR), TYROBP, IFITM1, IFITM2 (26, 34, 43).
ILCs in cluster 3 were characterized by expression of ZBTB16 (Figure 7G Supplementary Table 2), encoding the transcription factor PLZF that is expressed by all human ILC subsets (34, 44, 45) and required for ILC development in mice (39, 46, 47). Otherwise, ZBTB16-ILCs expressed few distinctive genes (Supplementary Table 2), suggesting that they may be less differentiated. Finally, the frequency of ZBTB16-ILCs was greater in the spleen vasculature than in spleen tissue (Figure 7C). In conclusion, we found that not only known human ILC subsets are present in the spleen of HSPC-engrafted MISTRG mice, but also a distinct population of ZBTB16-ILCs which may represent an intermediate ILC differentiation stage.
Single-cell gene signature of proliferative MKI67-ILCs
Cluster 2 ILCs were distinguished by the expression of genes associated with cell proliferation, such as MKI67, TOP2A, PCNA, and STMN1 as well as cyclin-dependent kinases (Figure 8A and Supplementary Table 2). Accordingly, gene ontology categories overrepresented in cluster 2 ILCs included “mitotic cell cycle” and “cell cycle process” (Figure 8B). Cell cycle scoring analysis confirmed that MKI67-ILCs were proliferative as most cells in this cluster were scored as in S or G2/M phase (Figure 8C). Furthermore MKI67-ILCs were present in both the intra- and extravascular compartment of the spleen (Figure 7C). MKI67-ILCs expressed low amounts of the transcription factors EOMES, TBX21, and RORC (Supplementary Figures 5B, C) and lower amounts of GATA3 than ILC2s in cluster 6 (Figure 7E), suggesting that MKI67-ILCs did not correspond to NK cells, ILC1s, ILC2s, or ILC3s. However, MKI67-ILCs expressed TCF7 (encoding TCF-1) (Supplementary Figures 5B, C), consistent with the TCF-1 protein expression determined by flow cytometry (Figure 4B). MKI67-ILCs also expressed several transcription factors, such as LEF1, ID3, BCL11A, and BCL11B (Figure 8D), that regulate the proliferative potential of lymphocytes. LEF1 is downstream of the WNT signaling pathway and is associated with the self-renewal capacity of T lymphocytes and NK cells (36). Moreover, LEF1 has been reported to be more highly expressed by human CD117-CRTH2- ILCs than by other ILC subsets and NK cells (34, 45). ID3 is expressed by TCF-1+ CD8 T cells with stem cell-like features (48–50) and by human cord blood ILCs that are functionally immature (51). Finally, BCL11B is expressed by human ILC1-like cells in umbilical cord blood (52), while BCL11A expression is shared by CD117-CRTH2- ILCs in human spleen and CD34+CD127+ common lymphoid progenitors from umbilical cord blood (23). In summary, these data support the notion that a distinct cluster of proliferative human ILCs resides in the spleen.
Discussion
The function of ILCs is tightly linked to their anatomical location and, like other tissue-resident immune cells, such as macrophages, the local microenvironment imprints tissue-specific features on ILCs (19, 53). However, the proliferative hierarchy and anatomical compartmentalization of human ILCs in vivo has not been determined. Here, we visualized proliferating ILCs within the vascular and tissue compartments using intravascular cell labeling and single-cell RNA-sequencing in our MISTRG humanized mouse model. This allowed us to define the proliferative landscape of human ILCs within lymphoid and non-lymphoid organs (Supplementary Figure 6).
We found that proliferating ILCs occupied both the vascular and tissue space in various organs. Specifically, our approach allowed us to classify ILCs into four categories with distinct proliferative status and anatomical location (Supplementary Figure 6A). The first category corresponded to quiescent and intravascular ILCs. NK cells and ILC2s in spleen, lung, and liver as well as ILC3s in lung and liver belonged to this category. The second category of quiescent and tissue-resident ILCs was mainly represented by CD117+CRTH2- ILC3s and ILCPs (24) in the spleen. The third category of proliferative and intravascular ILCs included lung and liver NK cells as well as the proliferative CD117-CRTH2-CD45RA+ ILCs that we discovered in the spleen vasculature and in the systemic circulation. CD117-CRTH2-CD45RA+ ILCs in the spleen also belonged to the fourth category of proliferative and tissue-resident ILCs.
The highly proliferative CD117-CRTH2- human ILC population that we discovered had a naïve surface phenotype (CD45RA+) and was characterized by the absence of transcription factors associated with mature ILCs. Despite having a surface phenotype (CD117-CRTH2-) that is normally associated with ILC1s, most CD117-CRTH2-CD45RA+ ILCs lacked expression of the ILC1-defining transcription factor T-BET and did not produce IFNγ. Instead, this population expressed TCF-1, characteristic of lymphocytes with high proliferative capacity (54, 55). Therefore, proliferative CD117-CRTH2- ILCs mostly represented CD45RA+T-BETloTCF-1hi immature ILCs. Furthermore, this proliferative ILC population emerged early after transplantation of MISTRG mice with human CD34+ HSPCs and was also present in human umbilical cord blood. Their “young” ontogeny supports the notion that proliferative CD117-CRTH2-CD45RA+ ILCs may contribute to the ILC compartment in early life. Proliferative CD117-CRTH2-CD45RA+ ILCs were located in both the vascular and tissue compartment of lymphoid and non-lymphoid organs in HSPC-engrafted MISTRG mice but were most abundant in the spleen. Moreover, their spatial distribution is consistent with the idea that proliferative ILCs migrate from the local vasculature into the tissue compartment of the spleen. Overall, these observations suggest a link between ILC proliferation and migration in response to local cues leading to the establishment of tissue-resident ILCs.
We observed that CD117-CRTH2-CD45RA+ ILCs were particularly abundant in the spleen, raising the idea that the spleen constitutes a proliferative niche for ILCs. It is therefore possible that ILC proliferation takes place in the spleen and Ki67+ ILCs subsequently enter the circulation to disperse systemically. Alternatively, proliferating ILCs could egress from the bone marrow into the systemic circulation and thereby reach the local spleen vasculature. However, proliferating CD117-CRTH2-CD45RA+ ILCs were almost absent from the bone marrow vasculature, arguing against this possibility. A previous study reported that the spleen environment promotes ILC1 differentiation in humanized mice (45). Furthermore, human CD117-CRTH2- ILCs, described as ILC1s, show less transcriptional heterogeneity in lymphoid organs than at mucosal sites (23). ILCs in lymphoid tissues may receive less imprinting by local tissue cues than their counterparts in the mucosa because lymphoid organs are not directly exposed to the outside environment. Therefore, it seems plausible that “ILC1s” in lymphoid organs may be less differentiated. This is consistent with our observation that CD117-CRTH2- ILCs in the spleen are highly proliferative and do not have features of mature ILC1s, such as T-BET expression and IFNγ production.
Unexpectedly, we detected a sizeable fraction of Ki67+ ILCs within the vasculature in several organs of HSPC-engrafted MISTRG mice as well as in human blood during the neonatal period. In general, circulating (intravascular) immune cells, such as neutrophils, monocytes, and NK cells (36) are thought to represent mobile cells that do not proliferate in steady state. This raises the question whether Ki67+ ILCs actively undergo cell division in the circulation because shear forces generated due to rapid blood flow likely make it difficult for cells to divide, at least in large blood vessels. However, the blood flow slows down in smaller vessels and capillaries, resulting in lower shear forces in the local vasculature of organs. Therefore, Ki67+ ILCs could divide in the local vasculature when they adhere to the endothelium. Alternatively, intravascular Ki67+ ILCs could represent cells that initiated cell division within tissues before entering the systemic circulation. This idea is supported by mouse studies showing that ILC proliferation occurs locally in the intestine before inter-organ trafficking of ILC2s to the lung via the circulation (10). Another possibility is that circulating Ki67+ ILCs have entered the cell cycle and are primed to complete cell division when they enter tissues from the blood. Consistent with this concept, we found that CD117-CRTH2-CD45RA+ ILCs that expressed intracellular Ki67 protein were mostly in the G1 phase of the cell cycle.
Due to their potent effector functions and strategic positioning, the expansion of ILCs needs to be tightly controlled to avoid tissue pathology and chronic inflammation (56–58). Therefore, understanding the mechanisms of ILC proliferation and migration are of importance in the context of human diseases, where ILCs play a role, such as infection, inflammation, and cancer.
Limitations of the study
MISTRG mice support human ILC-poiesis and the generation of all ILC subsets, thereby allowing to investigate the biology of human ILCs in vivo in a small animal model. One limitation is that human ILCs interact with the mouse tissue environment in MISTRG mice, such as the mouse endothelial cells. However, human ILCs distribute between the vascular and the tissue space within several organs in MISTRG mice, demonstrating that this model supports the migration of human ILCs across the mouse endothelium into tissues. Another limitation is that, besides the spleen, other lymphoid organs, especially lymph nodes, are not fully developed in MISTRG mice, which may affect ILC trafficking and proliferation. Finally, the relatively lymphopenic environment in MISTRG mice could potentially favor increased ILC proliferation. However, this situation is similar to the neonatal period when proliferating ILCs are more abundant in the circulation as shown in our study. Despite the limitations, studying human ILCs in vivo in the MISTRG model generates relevant knowledge beyond what is possible to obtain by analyzing ILCs from human blood and tissues ex vivo.
Data availability statement
The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found below: https://www.ncbi.nlm.nih.gov/geo/, GSE199965.
Ethics statement
This study was reviewed and approved by Ethical Review Board at Karolinska Institutet. The patients/participants provided their written informed consent to participate in this study. The animal study was reviewed and approved by Linköping Animal Experimentation Ethics Committee.
Author contributions
YG and AA designed, performed, and analyzed most experiments. AA contributed to writing the paper. DB analyzed single-cell RNA-sequencing data. NS helped with mouse experiments. JD supervised single-cell RNA-sequencing analysis. TW conceived and supervised the study, acquired funding, designed experiments, analyzed data, and wrote the paper. All authors contributed to the article and approved the submitted version.
Funding
TW was supported by a faculty-funded career position at Karolinska Institutet (2-1060/2018), a KID grant from Karolinska Institutet (2018-00846), a Junior Investigator Grant from the Center for Innovative Medicine (CIMED) financed by Region Stockholm (2-538/2014), as well as a Project Grant from the Swedish Research Council (2015-02413). JD was supported by grants from the Swedish Research Council (2018-02070) and the Swedish Cancer Society.
Acknowledgments
We thank Regeneron Pharmaceuticals and Yale University for being able to use MISTRG mice.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Supplementary material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fimmu.2022.902881/full#supplementary-material
Abbreviations
HSPCs, human hematopoietic stem and progenitor cells; IFNγ, interferon gamma; IL, interleukin; ILCs, innate lymphoid cells; ILCPs, innate lymphoid cell precursors; IV, intravenous; Lin, lineage; NK, natural killer; TCF-1, T cell factor-1; UMAP, Uniform Manifold Approximation and Projection.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found below: https://www.ncbi.nlm.nih.gov/geo/, GSE199965.