Skip to main content
Viruses logoLink to Viruses
. 2021 Apr 22;13(5):729. doi: 10.3390/v13050729

Mastomys natalensis Has a Cellular Immune Response Profile Distinct from Laboratory Mice

Tsing-Lee Tang-Huau 1,*, Kyle Rosenke 1, Kimberly Meade-White 1, Aaron Carmody 2, Brian J Smith 3, Catharine M Bosio 4, Michael A Jarvis 5,6, Heinz Feldmann 1,*
Editors: James Strong, David Safronetz
PMCID: PMC8145423  PMID: 33922222

Abstract

The multimammate mouse (Mastomys natalensis; M. natalensis) has been identified as a major reservoir for multiple human pathogens including Lassa virus (LASV), Leishmania spp., Yersinia spp., and Borrelia spp. Although M. natalensis are related to well-characterized mouse and rat species commonly used in laboratory models, there is an absence of established assays and reagents to study the host immune responses of M. natalensis. As a result, there are major limitations to our understanding of immunopathology and mechanisms of immunological pathogen control in this increasingly important rodent species. In the current study, a large panel of commercially available rodent reagents were screened to identify their cross-reactivity with M. natalensis. Using these reagents, ex vivo assays were established and optimized to evaluate lymphocyte proliferation and cytokine production by M. natalensis lymphocytes. In contrast to C57BL/6J mice, lymphocytes from M. natalensis were relatively non-responsive to common stimuli such as phytohaemagglutinin P and lipopolysaccharide. However, they readily responded to concanavalin A stimulation as indicated by proliferation and cytokine production. In summary, we describe lymphoproliferative and cytokine assays demonstrating that the cellular immune responses in M. natalensis to commonly used mitogens differ from a laboratory-bred mouse strain.

Keywords: Mastomys natalensis, immune response, T cell, effector cytokines, concanavalin A, phytohaemagglutinin P, lipopolysaccharide, Lassa virus

1. Introduction

Mastomys natalensis, a member of the Muridae family [1], has high prevalence across sub-Saharan Africa [2,3,4]. M. natalensis frequently lives in close association with humans and has been identified as a host reservoir for several zoonotic pathogens, including LASV [5,6,7], Leishmania major (L. major) [8], Borrelia spp. [9,10,11], and Yersinia pestis [12]. In contrast to humans, infection of M. natalensis by many of these zoonotic pathogens appears to be asymptomatic. How the immune system plays a role in pathogen persistence and clearance in these animals is unknown. An improved understanding of mechanisms by which M. natalensis controls microbial infection and transmission may lead to the development of novel intervention strategies to reduce zoonotic transmission to humans.

Laboratory mouse and rat models have provided invaluable insight into the pathology and immunobiology of many different pathogens [13,14,15,16,17,18]. However, it is becoming increasingly appreciated that many aspects of microbial immunobiology may differ in these established rodent models from those of wild rodent species serving as pathogen reservoirs. Further, the applicability of commercially available reagents and well-established immunological techniques, including flow cytometry and in vitro T-cell assays, commonly used to study immune responses in laboratory mice and rats have not been established for the study of M. natalensis immunity.

CD4+ and CD8+ cytotoxic T cells play a crucial role in many antimicrobial immune responses via the production of effector cytokines, such as interferon gamma (IFN-γ) and tumor necrosis factor alpha (TNF-ɑ), leading to eradication and protective immunity against a range of microbial pathogens. Upon activation, naïve CD4+ T cells differentiate into distinct T cell subsets (Th1, Th2, Th17, Tfh, Treg) based on signals from the antigenic environment and interactions with antigen-presenting cells (APCs) [19]. In response to viral [20,21,22], parasitic [23,24,25,26], or bacterial [27,28] infections, CD4+ T cells predominantly differentiate into Th1 cells that produce inflammatory cytokines (i.e., IFN-γ and TNF-ɑ) and participate in cell-mediated immune responses, such as enhancement of the differentiation of naïve CD8+ T cells into cytotoxic T cells (CTL) for the clearance of infections of viral [20,21,29], bacterial [30,31,32], and parasitic [33,34] origins. CD4+ T cells can also mediate B cell differentiation and antibody production against extracellular [35,36,37] and intracellular [38,39] pathogens.

In the present study, we first aimed to determine if conventional reagents used in laboratory rodent studies could be used to trigger M. natalensis cells. We screened commercially available antibodies for use with M. natalensis splenic lymphocytes. Using identified reagents, we optimized in vitro assays for T-cell proliferation and the detection of IFN-γ and TNF-ɑ production. We show that in response to well-defined stimuli, the activation potential of M. natalensis splenic lymphocytes differs substantially from those observed in C57BL/6J mice.

2. Materials and Methods

2.1. Animals

In this study, we used M. natalensis from an in-house breeding colony originally established from rodents captured in Doneguebougou, Mali [40]. C57BL/6J mice were obtained from Jackson Laboratory. For all experiments, we used 5–7 week old animals with equal sex distribution. The number of animals used for each experiment is indicated in the legends of the figures. M. natalensis were free of ectromelia virus, mouse rotavirus, lymphocytic choriomeningitis virus, mouse adenovirus, Sendai virus, mouse hepatitis virus, minute mouse virus, mouse parvovirus, mouse polyoma virus, mouse norovirus, Theiler’s murine encephalomyelitis virus, Mycoplasma pulmonis, pinworms, and ectoparasites according to dirty bedding serology and filter EDx PCR testing (IDEXX BioAnalytics, Columbia, MO, USA). C57BL/6J mice were free of the above pathogens according to vendor reports. Animal studies were approved by the Institutional Animal Care and Use Committee and were conducted in compliance with all institutional and national guidelines for use and handling of animals.

2.2. Reagents and Antibodies

A list of reagents and antibodies is provided in Table 1.

Table 1.

List of reagents and antibodies used in this study.

Mechanical and Tissue Dissociation
Reagents References Vendors
Gibco Fetal Bovine Serum 16000044 ThermoFisher
RPMI R8758 Sigma-Aldrich
Pencillin/Streptomycin 15070063 ThermoFisher
L-glutamine 25030164 ThermoFisher
β-Mercaptoethanol M3148-25ML Sigma-Aldrich
Miltenyi dissociator C tubes 130-096-334 Miltenyi
Cell strainer (40 μm) 22-363-547 Fisherscientific
Red blood cell lysis (1× RBC Lysis Buffer) 00-4333-57 ThermoFisher
In vitro Lymphocytes stimulation and proliferation
Reagents References Vendors
Concanavalin A 00-4978-03 ThermoFisher
Phytohaemagglutinin P 10576015 ThermoFisher
Lipopolysaccharide L2630-10MG Sigma-Aldrich
Mouse interleukin (IL)-2 130-120-331 Miltenyi
CellTrace Violet C34557 ThermoFisher
Reagents and antibodies for flow cytometry
Reagents References Vendors
Phorbol 12-myristate 13-acetate P8139-1MG Sigma-Aldrich
Ionomycin 407950-1MG Merck Calbiochem
Brefeldin A 00-4506-51 ThermoFisher
TruStain FcX 101320 BioLegend
Fixable Viability Dye eFluor™ 780 65-0865-14 ThermoFisher
Intracellular Fixation & Permeabilization Buffer Set 88-8824-00 ThermoFisher
Rat anti Human CD3 FITC MCA1477F Bio-Rad
Anti-mouse TNF-α Brilliant Violet 785 506341 BioLegend
Mouse Anti-Rat IFN-γ PE 559499 BDbiosciences

2.3. Tissue Preparation

Spleens were harvested and placed in RPMI supplemented with 10% FBS and 2% of penicillin/streptomycin (ThermoFisher, Carlsbad, CA, USA), L-glutamine (Sigma, St. Louis, MO, USA), and 0.5 mM of β-2-mercaptoethanol (Sigma, St. Louis, MO, USA) (cRPMI). Tissues were individually dissociated at room temperature (RT) in Miltenyi dissociator C tubes (Miltenyi Biotec, San Diego, CA, USA) (Table 1). Following dissociation, spleen homogenates were passed through a cell strainer (Fisher Scientific, Pennsylvania, PA, USA) and centrifuged at 700× g for 5 min. Red blood cell were lysed using 1× RBC Lysis Buffer according to manufacturer’s instructions (eBioscience™ ThermoFisher, Carlsbad, CA, USA). Remaining cells were washed and resuspended in cRPMI, and cell counts were performed by mixing 10 μL of sample with 10 μL of 0.4% trypan blue solution. The mixture was loaded onto a chamber slide and counted using a Countess cell counter (Bio-Rad, Hercules, CA, USA).

2.4. T Cell Proliferation

To analyze T cell proliferation, splenocytes were stained with CellTrace Violet (CTV, ThermoFisher, Carlsbad, CA, USA) prior to stimulation with mitogens. Splenocytes (5 × 105 cells/96-well round bottom plate) were added to triplicate wells and stimulated with three different mitogens: concanavalin A (ConA; 1× ThermoFisher, Carlsbad, CA, USA), phytohaemagglutinin P (PHA; 1.5%, ThermoFisher, Carlsbad, CA, USA), and lipopolysaccharide (LPS; 10 μg/mL, Sigma, St. Louis, MO, USA). Mitogen stimulation was performed either in the presence or absence of mouse interleukin (IL)-2 (25 IU/mL; Miltenyi, San Diego, CA, USA) for up to 6 days in cRPMI at 37 °C, 5% CO2 (Table 1).

2.5. Extracellular Staining for Flow Cytometry

Non-specific binding was blocked using TruStain (Biolegend, San Diego, CA, USA) for 10 min. Splenocytes were stained with T cell surface markers with rat anti-CD3, CD8, and CD4 for 30 min at 4 °C (Table 1). The samples were analyzed on a BD FACS Symphony instrument (BD Biosciences, San Jose, CA, USA) and analyzed by FlowJo v10.

2.6. Intracellular Staining for Flow Cytometry

T cells were re-stimulated on day 6 with phorbol 12-myristate 13-acetate (PMA, 50 ng/mL, Sigma) and ionomycin (Iono; 1 μg/mL; Merck Calbiochem, Burlington, MA, USA) for 6 h in the presence of brefeldin A (BFA; 1×; eBioscience ThermoFisher, Carlsbad, CA, USA) at 37 °C, 5% CO2. Non-specific binding was blocked using TruStain (Biolegend, San Diego, CA, USA) for 10 min. Cell viability was assessed using live/dead eFluor780 (ThermoFisher, Carlsbad, CA, USA) for 20 min at 4 °C (Table 1). Then the cells were fixed and permeabilized (Intracellular Fixation & Permeabilization Buffer Set; ThermoFisher, Carlsbad, CA, USA) and stained for rat anti-CD3, a cytoplasmic epitope of CD3 (Bio-Rad, Hercules, CA, USA) and selected intracellular proteins (anti-mouse TNF-α; anti-rat IFN-γ) (Table 1), for 45min at RT in permeabilization wash buffer (eBioscience ThermoFisher, Carlsbad, CA, USA). The samples were analyzed using the BD FACS Symphony instrument (BD Biosciences, San Jose, CA, USA) and FlowJo v10.

2.7. Cytometric Bead Array (CBA)

Splenocytes (1 × 106 cells/well) were incubated with or without ConA, LPS, or PHA mitogens for 24 h in cRPMI as technical duplicate replicates. Supernatants were collected and stored at −20 °C until use. TNF-α and IFN-γ release into the supernatant was measured by CBA using anti-mouse TNF-α and anti-rat IFN-γ antibodies according to the manufacturer’s instructions (Table 2).

Table 2.

Commercial kits used for the detection of cytokines produced by Mastomys-derived splenic lymphocytes.

Reagents Source Catalog Number Cross-React with Mastomys
Cytometric Bead Array (CBA) Rat IFN-γ Flex Set BD 558305 Yes
Mouse TNF-α Flex Set BD 558299 Yes
Mouse/Rat
Soluble Protein Master Buffer Kit
BD 558266 Yes
ELISPOT Rat IFN-γ Single color ImmunoSpot No
Mouse TNF-α Single color ImmunoSpot Yes
ELISA Mouse TNF-α ELISA MAX™Standard Set BioLegend 430901 No
Mouse IFN-γ ELISA MAX™Standard Set BioLegend 430801 No
Purified Rat Anti-Mouse IFN-γ BD 551309 No
Biotin Anti-Mouse IFN-γ BD 551506 No
Biotin Rat Anti-Mouse IFN-γ BD 554410 No
Recombinant Rat IFN-γ BD 550072 No

2.8. Software and Statistical Analysis

Flow cytometry data were analyzed using FlowJo software v10 (Tree Star). Statistical analyses were performed using the Prism software v8 (GraphPad, San Diego, CA, USA). Wilcoxon non-parametric test and one-way ANOVA were used. Variance was similar between the groups being compared.

3. Results

3.1. Commercial Rat and Mouse Antibodies Cross-React with M. natalensis T Cell Receptors and Intracellular Cytokines

Commercial rat and mouse antibodies against T cell receptors (CD3, CD8, CD4) and effector molecules (TNF-α and IFN-γ) were evaluated for their cross-reactivity with M. natalensis splenocytes (Table 3). Spleens from M. natalensis were harvested and stained with T cell receptor antibodies from different clones and analyzed by flow cytometry. We found that M. natalensis CD3 and CD8b receptors were recognized by rat anti-CD3 clone CD3-12 and rat anti-CD8b clone 341, respectively. No CD4 antibodies tested in this study cross-reacted with M. natalensis splenocytes (Table 3). In addition, we could demonstrate that M. natalensis IFN-γ and TNF-α cytokines were recognized by rat anti- IFN-γ, clone DB-1, and mouse anti- TNF-α clone MP6-XT22, respectively (Table 3).

Table 3.

Antibodies tested in this study.

Specificity Antibody Conjugate Clone Reference Vendor Cross-React with Mastomys
Mouse Purified anti-mouse CD4 N/A GK1.5 100401 Biolegend No
CD3e PE 145-2C11 100307 Biolegend No
CD8a APC 53.6.7 100711 Biolegend No
IFN-γ APC XMG1.2 505809 Biolegend No
TNF-α Brilliant Violet 785 MP6-XT22 506341 Biolegend Yes
TNF-α PE MP6-XT22 12-7321-41 eBioscience Yes
Rat/Human/Mouse CD3 FITC CD3-12 MCA1477F Bio-Rad Yes
Rat CD3 FITC G4.18 559975 BD No
Purified anti-rat CD8b N/A 341 200702 Biolegend Yes
CD8b PE eBio341 12-0080-82 ThermoFisher No
CD8a APC G28 200609 Biolegend No
CD8a BV421 OX-8 740041 BD No
CD8b BV421 341 742915 BD No
Purified anti-rat CD8a N/A OX-8 201701 Biolegend No
Purified anti-rat CD4 N/A W3/25 201501 Biolegend No
CD4 BV786 OX-35 740912 BD No
CD4 BV786 OX-38 743093 BD No
CD4 APC W3/25 201509 Biolegend No
IFN-γ AF647 DB-1 562213 BD Yes
IFN-γ PE DB-1 559499 BD Yes
Rat/mouse/rabbit TNF-α PE TN3-19.12 559503 BD No

Note: antibodies that recognized M. natalensis are highlighted in bold.

3.2. ConA Mitogen Efficiently Induced M. natalensis T Cell Proliferation In Vitro

ConA [41,42], PHA [43,44,45], and LPS [46,47] are the most commonly used mitogens targeting lymphocytes as they do not require antigen presentation to activate T cells and have been used to describe general immune responses, such as proliferation and cytokine production, in these cell populations. To optimize the in vitro assay for the induction of T cell proliferation and differentiation into mature effector cells, spleens from M. natalensis were harvested and stimulated with these three mitogens and T cell proliferation was measured at different time points (0, 3, 4, 5, and 6 days) post-stimulation. Recombinant mouse IL-2 was added to a subset of these samples to assess the impact of IL-2 signaling on activated cell survival, which by itself failed to stimulate T-cell proliferation. The CTV-based assay has been used to quantify T-cell proliferation in response to different mitogens. Unstimulated splenocytes were used as negative controls.

In agreement with previous studies, LPS, ConA, and PHA mitogens induced proliferation among C57BL/6J splenic lymphocytes [42,43,47] independently of IL-2 (Figure 1a–c). In contrast to C57BL/6J, M. natalensis splenic lymphocytes stimulated with LPS did not proliferate with or without IL-2 (Figure 1a). We observed that M. natalensis cells stimulated with PHA proliferate only in the presence of recombinant mouse IL-2 (Figure 1b). Finally, ConA was sufficient to enhance a strong CD3+-T cell proliferation in both C57BL/6J and M. natalensis, and this effect was independent of IL-2 (Figure 1c). Thus, ConA triggered the most efficient proliferation of M. natalensis CD3+ T cells compared to PHA and LPS mitogens.

Figure 1.

Figure 1

T cell proliferation in response to different stimuli. Splenic cells derived from M. natalensis (N = 12) or C57BL/6J (N = 12) were stimulated with LPS (a), PHA (b), and ConA (c) mitogens in the presence or absence of IL-2 cytokines. A CTV-based assay has been used to quantify T-cell proliferation at different time points. Number of proliferating CD3+ T cells of M. natalensis and C57BL/6J are shown in the upper and bottom graph of parts a, b, and c, respectively. Mean ± SEM of three independent experiments. ns: not significant; ** p < 0.01; *** p < 0.001; Wilcoxon non-parametric test.

3.3. Comparative Secretion of Effector Molecules in M. natalensis in Response to Stimuli

To further examine the differential immune response profiles by M. natalensis splenic lymphocytes, we assessed the level of cytokines in cell supernatant or secreting cells following mitogenic stimulation. M. natalensis splenic lymphocytes were stimulated with LPS, PHA, or ConA for 24 h. C57BL/6J splenic lymphocytes were used as a positive control. As described above, the presence of IL-2 can have an impact on T cell proliferation (Figure 1b); therefore, we also included recombinant mouse IL-2 to a subset of samples to determine its impact on cytokine production. TNF-α and IFN-γ were detectable in the supernatant of secreting splenic lymphocytes from C57BL/6J mice when stimulated with mitogens as determined by mouse specific ELISA, CBA, and ELISpot kits. No detectable TNF-α and IFN-γ in cell culture supernatants from M. natalensis splenic lymphocytes was observed when assessed by ELISA (data not shown). However, both cytokines were detected in supernatant utilizing CBA (Table 2). Further, TNF-α was readily detected by ELISpot (Table 2).

We used CBA specific to rat or mouse to measure cytokine responses to different stimuli in M. natalensis and C57BL/6J rodents, respectively. C57BL/6J splenic lymphocytes responded to all stimuli, LPS and ConA, as indicated by the production of both TNF-α and IFN-γ, and no differences were observed in IL-2 treated groups. Among PHA-stimulated C57BL/6J cells, the production of both cytokines significantly decreased (p < 0.01) in the presence of IL-2 (Figure 2a). In contrast, IL-2 did not impact C57BL/6J T-cell proliferation (Figure 1a–c) and M. natalensis stimulated cells only produce TNF-α in response to PHA but not IFN-γ independent of the presence of IL-2 (Figure 2b). However, LPS and ConA treatment significantly increased the secretion of TNF-α and IFN-γ within 24 h by M. natalensis splenic lymphocyte. Addition of IL-2 did not significantly change the amount of either cytokine produced under these conditions (Figure 2a,c). Taken together, LPS and ConA efficiently induce both IFN-γ and TNF-α secretion independently of IL-2 in both C57BL/6J and M. natalensis.

Figure 2.

Figure 2

Secretion of effector molecules in response to stimuli. Splenic cells derived from M. natalensis (N = 6) or C57BL/6J (N = 4). Mice were stimulated with LPS (a), PHA (b), or ConA (c) for 24 h. Secretion of IFN-γ and TNF-α (ac) were measured in the supernatants by CBA. Symbols represent individual animals. Mean ± SEM is shown. ns: not significant; * p < 0.01; ** p < 0.001; One-way ANOVA.

3.4. Comparative Expression of Intracellular Cytokines in M. natalensis in Response to Different Stimuli

Next, we assessed the expression of effector molecules by M. natalensis CD3+ T cells in response to mitogens stimuli. Intracellular IFN-γ and TNF-α were not detected among M. natalensis splenic lymphocytes stimulated only with PMA/Iono in the presence of BFA for 6 h. Therefore, M. natalensis splenocytes were stimulated with ConA, LPS, or PHA for 6 days followed by re-stimulation with PMA/Iono in the presence of BFA (Figure 3b). All mitogens induced the expression of both IFN-γ and TNF-α among positive control C57BL/6J CD3+ T cells (Figure 3b,d). All three mitogens also induced the expression of TNF-α by M. natalensis CD3+ T cells, but only ConA induced significant expression of both IFN-γ and TNF-α (Figure 3b,c). Notably, as observed in studies assessing the proliferation potential, IL-2 did not impact the expression of either IFN-γ or TNF-α in the M. natalensis CD3+ cell population. Therefore, only ConA efficiently induced the expression of IFN-γ and TNF-α by M. natalensis CD3+ T cells as detected by intracellular cytokine staining.

Figure 3.

Figure 3

Expression of intracellular cytokines in response to different stimuli. Exemplary gating strategies defining the investigated CD3+ T cell population of M. natalensis and C57BL/6J are shown in the upper and bottom portion of graph a, respectively (a); Representative flow cytometry plots of splenic cells derived from M. natalensis (upper part) or C57BL/6J mice (bottom part, used as a positive control) stimulated with LPS, PHA, or ConA for 6 days followed by 6h stimulation with PMA/Ionomycin and BFA (b); Expression of TNF-α and IFN-γ were assessed by intracellular staining (b); Number of CD3+ T cells expressing effector molecules by M. natalensis (c); and C57BL/6J (d) is shown. Symbols represent individual animal. N = 12 M. natalensis and N = 9 C57BL/6J mice of two independent experiments (c,d). ns: not significant; * p < 0.01; ** p < 0.001; One-way ANOVA.

4. Discussion

M. natalensis is a host for multiple emerging and re-emerging human pathogens (i.e., LASV, Leishmania spp., Yersinia spp., and Borrelia spp.). It is unknown how these rodents survive infection with these pathogens to serve as vectors for transmission to humans. Understanding this paradigm may ultimately help the development of new therapeutic strategies. T cells play an important role in the defense against microorganisms, in part by secreting key mediators which enable eradication of the infecting agent. Th1 T cells are characterized by their property to produce IFN-γ, TNF-α, and IL-2. These cells play a central role in mediating adaptive immune responses to microbial agents [21,23,32,33,35,48,49], tumor [50], inflammation, and autoimmune diseases [51,52]. Therefore, development of assays that assess these responses in M. natalensis-derived cells would provide valuable insight into our understanding of ongoing immune responses in this reservoir host.

To study the T cell-mediated immunity in M. natalensis, we identified, optimized, and established immunological techniques used for laboratory mice and rats to trigger T cell activation. M. natalensis splenocytes were stimulated with the classical mitogens (LPS, PHA, or ConA) that do not rely on antigen specificity or presentation to trigger proliferation and production of cytokines by these cells [41,42,43,44,45,46,47]. We found that M. natalensis CD3+, CD8+ T cell markers, and IFN-γ were largely recognized by antibodies directed against rat proteins whereas TNF-α was detected by antibodies targeting mouse cytokines (Table 3). Approaches for measuring cytokines/chemokines associated with cytotoxic T-lymphocyte function in response to mitogenic stimuli in cell supernatant or cytokine-secreting cells were also assessed. We found that only CBA, a bead-based immunoassay, was capable of measuring both M. natalensis IFN-γ and TNF-α in cell culture supernatants after 24 h of stimulation with mitogens (Figure 2). CBA, ELISA, and ELISpot assays all use primary (capture) and secondary (detection) antibodies. However, there are differences among these methods, such as their sensitivity to detect low frequency of cytokine-secreting cells (ELISpot) or cytokines release into cell culture (CBA and ELISA) [53,54,55]. In addition, we have demonstrated that M. natalensis IFN-γ is only detectable by a rat-IFN-γ CBA kit and TNF-α by mouse- TNF-α ELISpot and CBA kits. These results suggest that paired antibodies used to detect IFN-γ or TNF-α may differ in those assays or that some antibodies do not function due to lack of binding. This is supported by a recent phylogenetic study demonstrating that the genome of Mastomys coucha aligns to 90.1% with mouse and 85.5% with rat, supporting an intermediate position of M. natalensis in the rodent taxonomy [56].

In this study, we have demonstrated significant differences in T cell proliferation and cytokine production between M. natalensis and C57BL/6J splenic lymphocytes in response to different stimuli. It should be noted, however, that M. natalensis animals from our colony were recently derived from wild caught animals [40] and thus may harbor microorganisms distinct from laboratory C57BL/6J mice derived from a clean and defined laboratory environment. Therefore, M. natalensis immune responses to experimental mitogen stimulation may be reduced due to continuing exposure to microbial stimuli [57,58].While all mitogens induced C57BL/6J splenic lymphocytes proliferation, independent of IL-2, LPS was not effective at triggering proliferation of M. natalensis splenic T cells regardless of whether exogenous IL-2 was present or not (Figure 1a). Numerous studies using mouse and human cells have investigated the effect of LPS on cell proliferation [59] and cytokine production by lymphocytes [60]. LPS has been noted to both activate [61] and inhibit [62] lymphocytic activation. However, most of the studies have shown that the mechanism of T cell activation by LPS is mediated by innate cells, such as monocytes or APCs, providing costimulatory molecules signals via direct cell contact [61,63]. Therefore, our results suggested that LPS may not trigger appropriate responses by M. natalensis APCs that support T cell proliferation in our model. However, the lack of specific antibodies and immunology tools to M. natalensis currently does not allow us to confirm the role of LPS on M. natalensis APCs or T cells. In contrast, M. natalensis splenic lymphocytes stimulated with LPS for 24 h increased secretion of TNF-α and IFN-γ which was also independent of IL-2 (Figure 2a). This may be explained in part by differences of transcription, translation, protein processing, export, and protein degradation by each species of rodent [64]. Guy et al. also demonstrated that the large number of immunoreceptor tyrosine activation motifs (ITAM) within the T cell receptor (TCR)-CD3 complex (TCR-CD3 ITAM) play an important role in T cell development and function. Indeed, they have shown that low CD3 ITAM engage TCR-driven pathways that lead to cytokine production while high TCR-CD3 ITAM multiplicity promote T cell proliferation. These results support that proliferation and cytokine production can be two distinct events in T cells, dependent on the TCR signaling [65].

We also demonstrated that M. natalensis splenocytes stimulated with PHA require the presence of IL-2 to proliferate, while PHA efficiently induce C57BL/6J splenic lymphocytes proliferation without IL-2 cytokine (Figure 1b). Regardless of the presence/absence of IL-2, PHA was efficient to induce secretion of TNF-α but not IFN-γ by M. natalensis CD3+ T cells. However, IL-2 significantly decreased the production of both cytokines by C57BL/6J cells (Figure 2b). The decrease of IFN-γ and TNF-α secretion by C57BL/6J splenic lymphocytes stimulated with PHA in the presence of IL-2 suggests that exogenously added IL-2 may have induced T cell exhaustion resulting in functional impairment of T cells to secrete IFN-γ and TNF-α. Further studies need to confirm this hypothesis. We hypothesize that PHA combined with IL-2 may induce IL-2 receptor expression by T cells [45], resulting in enhanced proliferation by M. natalensis cells. However, lack of specific antibodies against M. natalensis do not allow us to confirm the effect of PHA on IL-2 receptor at this time. Finally, we demonstrated that ConA was sufficient to stimulate M. natalensis T cell proliferation and differentiation into effector T cells in the absence of IL-2 (Figure 1 and Figure 3) and significantly increased the secretion of TNF-α and IFN-γ from M. natalensis splenic lymphocytes independent of the presence or absence of IL-2 (Figure 2c). This suggests that ConA by itself triggered cross-linking of the TCR complex which leads to T cell proliferation and cytokine secretion among M. natalensis splenic cells, contrary to LPS and PHA mitogens [42]. Still, the molecular mechanisms by which TNF-α and IFN-γ genes expression and secretion occurs in response to each mitogen remain to be elucidated.

5. Conclusions

To conclude, only ConA was a strong stimulator of proliferation and differentiation into effector cells of M. natalensis CD3+ T cells. Thus, ConA-stimulating assays will allow us to determine ranges for IFN-γ and TNF-α in response to mitogen stimulation for M. natalensis-derived cells by flow cytometry (intracellular staining and CBA). These assays will be used to characterize the immune response in M. natalensis against infection and we believe this understanding of differences in distinct immune responses provides a critical underpinning for future studies on the immune response to pathogen infection in an increasingly important reservoir species. This is an important first step in the development of assays designed to understand the role of the innate and adaptive immune responses in this important reservoir species. Moving forward, there is a need to identify and optimize more immunology tools for M. natalensis, such as assays assessing cytotoxicity of CD4/CD8 T cells in vivo and in vitro.

Acknowledgments

We thank Shelly J. Robertson for providing C57BL/6J mice and Ronald Messer for sharing mouse antibodies.

Author Contributions

T.-L.T.-H. and H.F. designed experiments. T.-L.T.-H. conducted and performed all the assays and analyzed all data using the Prism software v8 (GraphPad). B.J.S. and K.M.-W. and K.R. performed the necropsies. A.C. performed flow analysis for CBA assays. T.-L.T.-H., C.M.B., M.A.J., and H.F. wrote the initial draft with the other authors providing editorial comments. H.F. supervised the project. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the Division of Intramural Research, National Institute of Allergy and Infectious Diseases and MAJ is funded through The Vaccine Group Ltd., and the University of Plymouth.

Institutional Review Board Statement

The study was conducted according to the guidelines of the Declaration of Helsinki, and approved by the Institutional Animal Care and Use Committee and were conducted in compliance with all institutional and national guidelines for use and handling of animals (protocol code 2019-043 and approved in 2019).

Informed Consent Statement

Not applicable.

Data Availability Statement

The data presented in this study are available on request f, rom the corresponding author.

Conflicts of Interest

The authors declare no conflict of interest identified for any individual involved in the study. The opinions, conclusions and recommendations in this report are those of the authors and do not necessarily represent the official positions of the National Institute of Allergy and Infectious Diseases (NIAID) at the National Institutes of Health (NIH). There were no conflict of interests.

Footnotes

Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

References

  • 1.Hasche D., Rösl F. Mastomys Species as Model Systems for Infectious Diseases. Viruses. 2019;11:182. doi: 10.3390/v11020182. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Jansa S.A., Giarla T.C., Lim B.K. The Phylogenetic Position of the Rodent GenusTyphlomysand the Geographic Origin of Muroidea. J. Mammal. 2009;90:1083–1094. doi: 10.1644/08-MAMM-A-318.1. [DOI] [Google Scholar]
  • 3.Lecompte E., Granjon L., Denys C. The phylogeny of the Praomys complex (Rodentia: Muridae) and its phylogeographic implications. J. Zool. Syst. Evol. Res. 2002;40:8–25. doi: 10.1046/j.1439-0469.2002.00172.x. [DOI] [Google Scholar]
  • 4.Chevret P., Granjon L., Duplantier J.-M., Denys C., Catzeflis F.M. Molecular phylogeny of the Praomys complex (Rodentia: Murinae): A study based on DNA/DNA hybridization experiments. Zool. J. Linn. Soc. 1994;112:425–442. doi: 10.1111/j.1096-3642.1994.tb00330.x. [DOI] [Google Scholar]
  • 5.Walker D.H., Wulff H., Lange J.V., Murphy F.A. Comparative pathology of Lassa virus infection in monkeys, guinea-pigs, and Mastomys natalensis. Bull. World Health Organ. 1975;52:523–534. [PMC free article] [PubMed] [Google Scholar]
  • 6.Olayemi A., Cadar D., Magassouba N., Obadare A., Kourouma F., Oyeyiola A., Fasogbon S., Igbokwe J., Rieger T., Bockholt S., et al. New Hosts of The Lassa Virus. Sci. Rep. 2016;6:25280. doi: 10.1038/srep25280. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Monath T.P., Newhouse V.F., Kemp G.E., Setzer H.W., Cacciapuoti A. Lassa Virus Isolation from Mastomys natalensis Rodents during an Epidemic in Sierra Leone. Science. 1974;185:263–265. doi: 10.1126/science.185.4147.263. [DOI] [PubMed] [Google Scholar]
  • 8.Sadlova J., Vojtkova B., Hrncirova K., Lestinova T., Spitzova T., Becvar T., Votypka J., Bates P., Volf P. Host competence of African rodents Arvicanthis neumanni, A. niloticus and Mastomys natalensis for Leishmania major. Int. J. Parasitol. Parasites Wildl. 2019;8:118–126. doi: 10.1016/j.ijppaw.2019.01.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Boardman K., Rosenke K., Safronetz D., Feldmann H., Schwan T.G. Host Competency of the Multimammate Rat Mastomys natalensis Demonstrated by Prolonged Spirochetemias with the African Relapsing Fever Spirochete Borrelia crocidurae. Am. J. Trop. Med. Hyg. 2019;101:1272–1275. doi: 10.4269/ajtmh.19-0590. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Zumpt F. Is the Multimammate Rat a Natural Reservoir of Borrelia Duttoni? Nat. Cell Biol. 1959;184:793–794. doi: 10.1038/184793a0. [DOI] [PubMed] [Google Scholar]
  • 11.Schwan T.G., Anderson J.M., Lopez J.E., Fischer R.J., Raffel S.J., McCoy B.N., Safronetz D., Sogoba N., Maïga O., Traoré S.F. Endemic Foci of the Tick-Borne Relapsing Fever Spirochete Borrelia crocidurae in Mali, West Africa, and the Potential for Human Infection. PLoS Negl. Trop. Dis. 2012;6:e1924. doi: 10.1371/journal.pntd.0001924. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Green C.A., Gordon D.H., Lyons N.F. Biological Species in Praomys (Mastomys) Natalensis (Smith), a Rodent Carrier of Lassa Virus and Bubonic Plague in Africa. Am. J. Trop. Med. Hyg. 1978;27:627–629. doi: 10.4269/ajtmh.1978.27.627. [DOI] [PubMed] [Google Scholar]
  • 13.Crawford S.E., Patel D.G., Cheng E., Berkova Z., Hyser J.M., Ciarlet M., Finegold M.J., Conner M.E., Estes M.K. Rotavirus Viremia and Extraintestinal Viral Infection in the Neonatal Rat Model. J. Virol. 2006;80:4820–4832. doi: 10.1128/JVI.80.10.4820-4832.2006. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Kesavalu L., Sathishkumar S., Bakthavatchalu V., Matthews C., Dawson D., Steffen M., Ebersole J.L. Rat Model of Polymicrobial Infection, Immunity, and Alveolar Bone Resorption in Periodontal Disease. Infect. Immun. 2007;75:1704–1712. doi: 10.1128/IAI.00733-06. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Wang G., Ojaimi C., Wu H., Saksenberg V., Iyer R., Liveris D., McClain S.A., Wormser G.P., Schwartz I. Disease severity in a murine model of lyme borreliosis is associated with the genotype of the infecting Borrelia burgdorferi sensu stricto strain. J. Infect. Dis. 2002;186:782–791. doi: 10.1086/343043. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Loria-Cervera E.N., Andrade-Narvaez F.J. Animal models for the study of leishmaniasis immunology. Revista do Instituto de Medicina Tropical de São Paulo. 2014;56:1–11. doi: 10.1590/S0036-46652014000100001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Yun N.E., Ronca S., Tamura A., Koma T., Seregin A.V., Dineley K.T., Miller M., Cook R., Shimizu N., Walker A.G., et al. Animal Model of Sensorineural Hearing Loss Associated with Lassa Virus Infection. J. Virol. 2016;90:2920–2927. doi: 10.1128/JVI.02948-15. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Goicochea M.A., Zapata J.C., Bryant J., Davis H., Salvato M.S., Lukashevich I.S. Evaluation of Lassa virus vaccine immunogenicity in a CBA/J-ML29 mouse model. Vaccine. 2012;30:1445–1452. doi: 10.1016/j.vaccine.2011.12.134. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Zhu J., Yamane H., Paul W.E. Differentiation of Effector CD4 T Cell Populations. Annu. Rev. Immunol. 2010;28:445–489. doi: 10.1146/annurev-immunol-030409-101212. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Battegay M., Moskophidis D., Rahemtulla A., Hengartner H., Mak T.W., Zinkernagel R.M. Enhanced establishment of a virus carrier state in adult CD4+ T-cell-deficient mice. J. Virol. 1994;68:4700–4704. doi: 10.1128/JVI.68.7.4700-4704.1994. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Matloubian M., Concepcion R.J., Ahmed R. CD4+ T cells are required to sustain CD8+ cytotoxic T-cell responses during chronic viral infection. J. Virol. 1994;68:8056–8603. doi: 10.1128/JVI.68.12.8056-8063.1994. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Demers K.R., Reuter M.A., Betts M.R. CD8+T-cell effector function and transcriptional regulation during HIV pathogenesis. Immunol. Rev. 2013;254:190–206. doi: 10.1111/imr.12069. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Darrah P.A., Patel D.T., De Luca P.M., Lindsay R.W.B., Davey D.F., Flynn B.J., Hoff S.T., Andersen P., Reed S.G., Morris S.L., et al. Multifunctional TH1 cells define a correlate of vaccine-mediated protection against Leishmania major. Nat. Med. 2007;13:843–850. doi: 10.1038/nm1592. [DOI] [PubMed] [Google Scholar]
  • 24.Rodrigues V., Cordeiro-Da-Silva A., LaForge M., Ouaissi A., Akharid K., Silvestre R., Estaquier J. Impairment of T Cell Function in Parasitic Infections. PLoS Negl. Trop. Dis. 2014;8:e2567. doi: 10.1371/journal.pntd.0002567. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Schussek S., Trieu A., Apte S.H., Sidney J., Sette A., Doolan D.L. Immunization with Apical Membrane Antigen 1 Confers Sterile Infection-Blocking Immunity against Plasmodium Sporozoite Challenge in a Rodent Model. Infect. Immun. 2013;81:3586–3599. doi: 10.1128/IAI.00544-13. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Egui A., Ledesma D., Pérez-Antón E., Montoya A., Gómez I., Robledo S.M., Infante J.J., Vélez I.D., López M.C., Thomas M.C. Phenotypic and Functional Profiles of Antigen-Specific CD4+ and CD8+ T Cells Associated With Infection Control in Patients With Cutaneous Leishmaniasis. Front. Cell. Infect. Microbiol. 2018;8:393. doi: 10.3389/fcimb.2018.00393. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Qiu Z., Khairallah C., Sheridan B.S. Listeria Monocytogenes: A Model Pathogen Continues to Refine Our Knowledge of the CD8 T Cell Response. Pathogens. 2018;7:55. doi: 10.3390/pathogens7020055. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Thakur A., Mikkelsen H., Jungersen G. Intracellular Pathogens: Host Immunity and Microbial Persistence Strategies. J. Immunol. Res. 2019;2019:1–24. doi: 10.1155/2019/1356540. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Elsaesser H., Sauer K., Brooks D.G. IL-21 Is Required to Control Chronic Viral Infection. Science. 2009;324:1569–1572. doi: 10.1126/science.1174182. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Martin M.D., Badovinac V.P. Antigen-dependent and -independent contributions to primary memory CD8 T cell activation and protection following infection. Sci. Rep. 2015;5:18022. doi: 10.1038/srep18022. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Gideon H.P., Phuah J., Myers A.J., Bryson B.D., Rodgers M.A., Coleman M.T., Maiello P., Rutledge T., Marino S., Fortune S.M., et al. Variability in Tuberculosis Granuloma T Cell Responses Exists, but a Balance of Pro- and Anti-inflammatory Cytokines Is Associated with Sterilization. PLoS Pathog. 2015;11:e1004603. doi: 10.1371/journal.ppat.1004603. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Li B., Du C., Zhou L., Bi Y., Wang X., Wen L., Guo Z., Song Z., Yang R. Humoral and Cellular Immune Responses to Yersinia pestis Infection in Long-Term Recovered Plague Patients. Clin. Vaccine Immunol. 2011;19:228–234. doi: 10.1128/CVI.05559-11. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Boussoffara T., Chelif S., Ben Ahmed M., Mokni M., Ben Salah A., Dellagi K., Louzir H. Immunity Against Leishmania major Infection: Parasite-Specific Granzyme B Induction as a Correlate of Protection. Front. Cell. Infect. Microbiol. 2018;8:397. doi: 10.3389/fcimb.2018.00397. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Campos T.M., Costa R., Passos S., Carvalho L.P. Cytotoxic activity in cutaneous leishmaniasis. Memórias Inst. Oswaldo Cruz. 2017;112:733–740. doi: 10.1590/0074-02760170109. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Fahey L.M., Wilson E.B., Elsaesser H., Fistonich C.D., McGAVERN D.B., Brooks D.G. Viral persistence redirects CD4 T cell differentiation toward T follicular helper cells. J. Exp. Med. 2011;208:987–999. doi: 10.1084/jem.20101773. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Crotty S. T Follicular Helper Cell Differentiation, Function, and Roles in Disease. Immunity. 2014;41:529–542. doi: 10.1016/j.immuni.2014.10.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.McKisic M.D., Barthold S.W. T-Cell-Independent Responses to Borrelia burgdorferi Are Critical for Protective Immunity and Resolution of Lyme Disease. Infect. Immun. 2000;68:5190–5197. doi: 10.1128/IAI.68.9.5190-5197.2000. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Lakhal-Naouar I., Boussoffara T., Meddeb-Garnaoui A., Ben Achour-Chenik Y., Louzir H., Chenik M. Cellular and Humoral Responses to Leishmania major Virulence Factors in Healed Cutaneous Leishmaniasis and Mediterranean Visceral Leishmaniasis Patients. Clin. Vaccine Immunol. 2009;16:956–958. doi: 10.1128/CVI.00023-09. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Goncalves R., Christensen S.M., Mosser D.M. Humoral immunity in leishmaniasis—Prevention or promotion of parasite growth? Cytokine X. 2020;2:100046. doi: 10.1016/j.cytox.2020.100046. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Safronetz D., Rosenke K., Fischer R.J., LaCasse R.A., Scott D.P., Saturday G., Hanley P.W., Maiga O., Sogoba N., Schwan T.G., et al. Establishment of a Genetically Confirmed Breeding Colony of Mastomys natalensis from Wild-Caught Founders from West Africa. Viruses. 2021;13:590. doi: 10.3390/v13040590. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Shinohara Y., Tsukimoto M. Adenine Nucleotides Attenuate Murine T Cell Activation Induced by Concanavalin A or T Cell Receptor Stimulation. Front. Pharmacol. 2018;8:986. doi: 10.3389/fphar.2017.00986. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Palacios R. Concanavalin A triggers T lymphocytes by directly interacting with their receptors for activation. J. Immunol. 1982;128:337–342. [PubMed] [Google Scholar]
  • 43.Yamamura Y., Tanaka J.L., Madyastha K.R., Fudenberg H.H., Proctor J.W. Differences in Mitogenic Responses of Murine T Cells to Two Distinct Phytohemagglutinin (Pha) Subcomponents. Immunol. Commun. 1981;10:9–20. doi: 10.3109/08820138109050682. [DOI] [PubMed] [Google Scholar]
  • 44.Ceuppens J.L., Baroja M.L., Lorre K., Van Damme J., Billiau A. Human T cell activation with phytohemagglutinin. The function of IL-6 as an accessory signal. J. Immunol. 1988;141:3868–3874. [PubMed] [Google Scholar]
  • 45.Katzen D., Chu E., Terhost C., Leung D.Y., Gesner M., Miller R.A., Geha R.S. Mechanisms of human T cell response to mitogens: IL 2 induces IL 2 receptor expression and proliferation but not IL 2 synthesis in PHA-stimulated T cells. J. Immunol. 1985;135:1840–1845. [PubMed] [Google Scholar]
  • 46.Tough D.F., Sun S., Sprent J. T Cell Stimulation In Vivo by Lipopolysaccharide (LPS) J. Exp. Med. 1997;185:2089–2094. doi: 10.1084/jem.185.12.2089. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.McAleer J.P., Vella A.T. Understanding how lipopolysaccharide impacts CD4 T cell immunity. Crit. Rev. Immunol. 2008;28:281–299. doi: 10.1615/critrevimmunol.v28.i4.20. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Vogel S.N., Hilfiker M.L., Caulfield M.J. Endotoxin-induced T lymphocyte proliferation. J. Immunol. 1983;130:1774–1779. [PubMed] [Google Scholar]
  • 49.Brown A.F., Murphy A.G., Lalor S.J., Leech J.M., O’Keeffe K.M., Mac Aogáin M., O’Halloran D.P., Lacey K.A., Tavakol M., Hearnden C.H., et al. Memory Th1 Cells Are Protective in Invasive Staphylococcus aureus Infection. PLoS Pathog. 2015;11:e1005226. doi: 10.1371/journal.ppat.1005226. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Zhao X., Liu J., Ge S., Chen C., Li S., Wu X., Feng X., Wang Y., Cai D. Saikosaponin A Inhibits Breast Cancer by Regulating Th1/Th2 Balance. Front. Pharmacol. 2019;10:624. doi: 10.3389/fphar.2019.00624. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Benihoud K., Esselin S., Descamps D., Jullienne B., Salone B., Bobé P., Bonardelle D., Connault E., Opolon P., Saggio I., et al. Erratum: Respective roles of TNF-α and IL-6 in the immune response-elicited by adenovirus-mediated gene transfer in mice. Gene Ther. 2007;14:551. doi: 10.1038/sj.gt.3302909. [DOI] [PubMed] [Google Scholar]
  • 52.Schroder K., Hertzog P.J., Ravasi T., Hume D.A. Interferon-γ: An overview of signals, mechanisms and functions. J. Leukoc. Biol. 2003;75:163–189. doi: 10.1189/jlb.0603252. [DOI] [PubMed] [Google Scholar]
  • 53.Westermann J., van Lessen A., Schlimper C., Baskaynak G., le Coutre P., Dörken B., Pezzutto A. Simultaneous cytokine analysis by cytometric bead array for the detection of leukaemia-reactive T cells in patients with chronic myeloid leukaemia. Br. J. Haematol. 2006;132:32–35. doi: 10.1111/j.1365-2141.2005.05844.x. [DOI] [PubMed] [Google Scholar]
  • 54.Karlsson A.C., Martin J.N., Younger S.R., Bredt B.M., Epling L., Ronquillo R., Varma A., Deeks S.G., McCune J.M., Nixon D.F., et al. Comparison of the ELISPOT and cytokine flow cytometry assays for the enumeration of antigen-specific T cells. J. Immunol. Methods. 2003;283:141–153. doi: 10.1016/j.jim.2003.09.001. [DOI] [PubMed] [Google Scholar]
  • 55.Morgan E., Varro R., Sepulveda H., Ember J.A., Apgar J., Wilson J., Lowe L., Chen R., Shivraj L., Agadir A., et al. Cytometric bead array: A multiplexed assay platform with applications in various areas of biology. Clin. Immunol. 2004;110:252–266. doi: 10.1016/j.clim.2003.11.017. [DOI] [PubMed] [Google Scholar]
  • 56.Hardin A., Nevonen K.A., Eckalbar W.L., Carbone L., Ahituv N. Comparative Genomic Characterization of the Multimammate Mouse Mastomys coucha. Mol. Biol. Evol. 2019;36:2805–2812. doi: 10.1093/molbev/msz188. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57.Masopust D., Sivula C.P., Jameson S.C. Of Mice, Dirty Mice, and Men: Using Mice To Understand Human Immunology. J. Immunol. 2017;199:383–388. doi: 10.4049/jimmunol.1700453. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Rosshart S.P., Herz J., Vassallo B.G., Hunter A., Wall M.K., Badger J.H., McCulloch J.A., Anastasakis D.G., Sarshad A.A., Leonardi I., et al. Laboratory mice born to wild mice have natural microbiota and model human immune responses. Science. 2019;365:eaaw4361. doi: 10.1126/science.aaw4361. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59.Komai-Koma M., Gilchrist D.S., Xu D. Direct recognition of LPS by human but not murine CD8+T cellsviaTLR4 complex. Eur. J. Immunol. 2009;39:1564–1572. doi: 10.1002/eji.200838866. [DOI] [PubMed] [Google Scholar]
  • 60.Chien E.J., Chien C.-H., Chen J.-J., Wang S.-W., Hsieh D.J.-Y. Bacterial lipopolysaccharide activates protein kinase C, but not intracellular calcium elevation, in human peripheral T cells. J. Cell. Biochem. 2000;76:404–410. doi: 10.1002/(SICI)1097-4644(20000301)76:3&#x0003c;404::AID-JCB8&#x0003e;3.0.CO;2-E. [DOI] [PubMed] [Google Scholar]
  • 61.Ulmer A.J., Flad H.-D., Rietschel T., Mattern T. Induction of proliferation and cytokine production in human T lymphocytes by lipopolysaccharide (LPS) Toxicology. 2000;152:37–45. doi: 10.1016/S0300-483X(00)00290-0. [DOI] [PubMed] [Google Scholar]
  • 62.Wolk K., Döcke W.D., von Baehr V., Volk H.D., Sabat R. Impaired antigen presentation by human monocytes during endotoxin tolerance. Blood. 2000;96:218–223. doi: 10.1182/blood.V96.1.218.013k04_218_223. [DOI] [PubMed] [Google Scholar]
  • 63.Mattern T., Thanhäuser A., Reiling N., Toellner K.M., Duchrow M., Kusumoto S., Rietschel E.T., Ernst M., Brade H., Flad H.D. Endotoxin and lipid A stimulate proliferation of human T cells in the presence of autologous monocytes. J. Immunol. 1994;153:2996–3004. [PubMed] [Google Scholar]
  • 64.O’Neil-Andersen N.J., Lawrence D.A. Differential Modulation of Surface and Intracellular Protein Expression by T Cells after Stimulation in the Presence of Monensin or Brefeldin A. Clin. Vaccine Immunol. 2002;9:243–250. doi: 10.1128/CDLI.9.2.243-250.2001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65.Guy C.S., Vignali K.M., Temirov J., Bettini M.L., Overacre A.E., Smeltzer M., Zhang H., Huppa J.B., Tsai Y.-H., Lobry C., et al. Distinct TCR signaling pathways drive proliferation and cytokine production in T cells. Nat. Immunol. 2013;14:262–270. doi: 10.1038/ni.2538. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

The data presented in this study are available on request f, rom the corresponding author.


Articles from Viruses are provided here courtesy of Multidisciplinary Digital Publishing Institute (MDPI)

RESOURCES