Sca-1+Lin−CD117− Mesenchymal Stem/Stromal Cells Induce the Generation of Novel IRF8-Controlled Regulatory Dendritic Cells through Notch−RBP-J Signaling
Xingxia Liu, Shaoda Ren, Chaozhuo Ge, Kai Cheng, Martin Zenke, Armand Keating and Robert C. H. Zhao
This information is current as of September 25, 2021.
J Immunol 2015; 194:4298-4308; Prepublished online 30 March 2015; doi: 10.4049/jimmunol.1402641
http://www.jimmunol.org/content/194/9/4298
Supplementary http://www.jimmunol.org/content/suppl/2015/03/28/jimmunol.140264
Material 1.DCSupplemental
References This article cites 59 articles, 19 of which you can access for free at:
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The Journal of Immunology
Sca-1+Lin2CD1172 Mesenchymal Stem/Stromal Cells Induce the Generation of Novel IRF8-Controlled Regulatory Dendritic Cells through Notch–RBP-J Signaling
Xingxia Liu,*,1 Shaoda Ren,*,1 Chaozhuo Ge,* Kai Cheng,* Martin Zenke,† Armand Keating,‡,x and Robert C. H. Zhao*
Mesenchymal stem/stromal cells (MSCs) can influence the destiny of hematopoietic stem/progenitor cells (HSCs) and exert broadly immunomodulatory effects on immune cells. However, how MSCs regulate the differentiation of regulatory dendritic cells (regDCs) from HSCs remains incompletely understood. In this study, we show that mouse bone marrow–derived Sca-1+Lin2CD1172 MSCs can drive HSCs to differentiate into a novel IFN regulatory factor (IRF)8–controlled regDC population (Sca+ BM-MSC–driven DC [sBM-DCs]) when cocultured without exogenous cytokines. The Notch pathway plays a critical role in the generation of the sBM-DCs by controlling IRF8 expression in an RBP-J–dependent way. We observed a high level of H3K27me3 methylation and a low level of H3K4me3 methylation at the Irf8 promoter during sBM-DC induction. Importantly, infusion of sBM-DCs could alleviate colitis in mice with inflammatory bowel disease by inhibiting lymphocyte proliferation and increasing the numbers of CD4+CD25+ regulatory T cells. Thus, these data infer a possible mechanism for the development of regDCs and further support the role of MSCs in treating immune disorders. The Journal of Immunology, 2015, 194: 4298–4308.
s an important component of the hematopoietic stem/ progenitor cell (HSC) microenvironment, mesenchymal
Astromal/stem cells (MSCs) are capable of self-renewal and
attractive because of their unique immunological characteristics, such as low immunogenicity and immunoregulatory properties (3, 4). The results from various studies have shown that MSCs are not able to stimulate T cell proliferation but can suppress T cell proliferation, and they also exert an inhibitory effect on the proliferation of B cells (5, 6). Additionally, MSCs might also act on dendritic cells (DCs) to regulate immune responses (7); however, relatively little is known about their effects on DC development and function. multilineage differentiation (1, 2). However, MSCs are particularly
*Center of Excellence in Tissue Engineering, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing 100005, People’s Republic of China; †Department of Cell Biology, Institute for Biomedical Engineering, Rhenish-Westphalian Technical University, Aachen University Medical School, 52074 Aachen, Germany; ‡Cell Therapy Program, Princess Margaret Hospital, Toronto, Ontario M5G 2M9, Canada; and xInstitute of Biomaterials and Biomedical Engineering, University of Toronto, Toronto, Ontario M5G 2M9, Canada
DCs not only play a role in the initiation of immunity but also are indispensable for the preservation of tolerance. They work as professional APCs in promoting Ag-specific immune responses and are likewise implicated in tuning the balance between immunity and tolerance induction (8, 9). DCs arise from HSCs and were initially identified by their potent activation of naive T cells (10). DCs can be divided into distinct subsets by anatomical location, and different subsets of classical DCs express a diversity of phenotype and function and favor alternative modules of immunity (11–13). Recent findings suggest that DC heterogeneity is developmentally determined, and it has been difficult to identify the relationships between these various cells based only on cell surface markers and functional responses. Consequently, understanding the molecular basis of DC development and diversification is important to better appreciate immune regulation. Currently, the basis for DC development into the recognized subsets/lineages is only partially understood, based on the requirements for several transcription factors, including PU.1, IFN regulatory factor (IRF)8, E2-2, IRF4, Batf3, Ikaros, GFi1, and ID2 (14-16). These transcription factors combine to form a transcriptional network that gives rise to the phenotypically and functionally distinct subsets under steady-state conditions. It is now becoming evident that DC development is guided by lineage-restricted transcription factors such as IRF8, E2-2, and Batf3 (17-19). However, little is known regarding how cytokines and lineage-restricted transcription factors operate at a molecular level to direct DC diversification and development. The Notch family provides an evolutionarily conserved signaling network that plays a key role in the development of a variety of immune cells. To date, four Notch receptor family members and five Notch ligands have been identified in mammalian cells (20,
1X.L. and S.R. contributed equally to this work. Received for publication October 21, 2014. Accepted for publication February 27, 2015.
This work was supported by the National Key Scientific Program of China Grant 2011CB964901, Program for International Science and Technology Cooperation Projects of China Grant 2013DFG30680, National Natural Science Foundation of China Grants 81370879 and 81370466, National Science and Technology Major Project of the Ministry of Science and Technology of China Grant 2014ZX09101042, and by Key Program for Beijing Municipal Natural Science Foundation Grant 7141006.
Address correspondence and reprint requests to Prof. Robert C.H. Zhao, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Peking Union Medical College Hospital, Center of Excellence in Tissue Engineering, Chinese Academy of Medical Sciences, 5 Dongdansantiao, Beijing 100005, People’s Republic of China. E-mail address: [email protected]
The online version of this article contains supplemental material. Abbreviations used in this article: BM, bone marrow; BM-HSC, BM-derived hematopoietic stem/progenitor cell; BM-MSC, BM-derived MSC; ChIP, chromatin immunoprecipitation; DAPT, N-[N-(3,5-difluorophenacetyl)-L-alanyl]-S-phenylglycine t-butyl ester; DC, dendritic cell; H3K4me3, trimethylation at lysine 4 of histone H3; H3K27me3, trimethylation at lysine 27 of histone H3; HSC, hematopoietic stem/progenitor cell; IBD, inflammatory bowel disease; imDC, immature DC; IRF, IFN regulatory factor; maDC, mature DC; MSC, mesenchymal stem/stromal cell; PRC, polycomb repressive complex; qRT-PCR, quantitative RT-PCR; regDC, regulatory DC; sBM-DC, Sca+ BM-MSC–driven DC; siRNA, small interfering RNA; TCF, T cell–specific factor; TNBS, 2,4,6-trinitrobenzene sulfonic acid; TRAF, TNFR-associated factor.
Copyright Ó 2015 by The American Association of Immunologists, Inc. 0022-1767/15/$25.00
www.jimmunol.org/cgi/doi/10.4049/jimmunol.1402641
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acetyl)-L-alanyl]-S-phenylglycine t-butyl ester (DAPT; the cells in the sBM-DCs plus DAPT group were treated with 20 mM DAPT that was dissolved in DMSO). DMSO or 20 mM DAPT (a Notch inhibitor, Tocris Bioscience) was added every 2 d; after coculture for 7 d, the remaining loosely adherent cell clusters were collected for the following experiment.
21). Notch receptors are activated following binding of appropriate ligands, which results in the nuclear translocation of the Notch intracellular domain. The Notch intracellular domain interacts with a number of cytoplasmic and nuclear proteins, permitting signal transduction through several pathways that include activation of the CBF-1/RBP-J transcription factor, which works as a negative regulator of lineage-specific gene expression (22, 23). Several studies suggest possible involvement of Notch in myeloid cell differentiation (13, 24–26). It seems that there is reciprocal regulation of Notch in DC development, but the detailed relationship and underlying mechanisms remain far from being understood.
Flow cytometric analysis
Flow cytometric analysis was performed as previously described (39). The fluorescent Abs used in the study included FITC-conjugated anti-mouse Sca-1, CD4, CD9, CD90, CD31, CD44, H-2Kd, Ia, CD11c, CD40, CD80, and CD86 and PE-conjugated anti-mouse CD25, CD45, CD73, and CD11b (BD Biosciences). For each Ab, IgG of the same isotype from the same species was used as the isotype control (BD Biosciences). Analysis was performed on Accuri C6 flow cytometers with CFlow software (Accuri Cytometers, Ann Arbor, MI).
Recent data support the concept that specific gene expression patterns are under the control of epigenetic alterations (27, 28). Acetylation and methylation of specific lysine residues on N-terminal histone tails are fundamental for the formation of chromatin domains. Two canonical modifications are trimethylation at lysine 27 of histone H3 (H3K27me3) and trimethylation at lysine 4 of histone H3 (H3K4me3). It is known that H3K27me3 is a repressive mark catalyzed by polycomb repressive complex (PRC)2 and is associated with promoters of inactive genes. Conversely, H3K4me3, catalyzed by the trithorax family of proteins, is a hallmark of transcriptional start sites and generally associated with transcriptionally active genes (29–32). A growing body of evidence has shown that epigenetic alterations are involved in the regulation of various genes expression (33–36), but little is known about epigenetic alterations during the generation of DCs. Although several studies have demonstrated that MSCs can modulate the development and function of DCs, the underlying mechanisms remain to be determined. In this study, we report that Sca-1+ Lin2CD1172 bone marrow (BM)–derived MSCs (BM-MSCs) influenced the fate decision of BM-derived HSCs (BM-HSCs) and drove them to differentiate into distinct IRF8-controlled regulatory DCs (regDCs, Sca+ BM-MSC–driven DCs [sBM-DCs]). The Notch signaling pathway plays a critical role in the generation of the sBM-DCs by controlling IRF8 expression in an RBP-J–dependent way.
Endocytosis assay and MLCs
Endocytosis and MLCs were performed as previously described (39).
Cytokine analysis
The supernatant of the sBM-DCs was harvested in RPMI 1640 medium without FBS for 4 h. The supernatant of the MLCs was harvested after 3 d. All supernatants and sera from mice were analyzed using ELISA kits (BD Biosciences) according to the manufacturer’s instructions.
RNA isolation and quantitative RT-PCR analysis
Total RNA was extracted from cells with TRIzol reagent (Invitrogen) and then reverse transcribed using a Quantiscript RT kit (TaKaRa Bio). Quantitative RT-PCR (qRT-PCR) was performed on a StepOne system (Applied Biosystems) with a SYBR Green real-time PCR kit (TaKaRa Bio). Data were normalized to the reference gene b-actin. The primers used are listed in Supplemental Table I.
Western blot analysis
The protein expression level was analyzed by Western blot as previously described (38). Abs were obtained from Cell Signaling Technology.
Chromatin immunoprecipitation
Chromatin immunoprecipitation (ChIP) was performed using an EZ-Magna ChIP kit (Millipore) according to the manufacturer’s instructions. ChIP- grade Abs specific for H3K4me3, H3K27me3, and EED were obtained from Millipore; anti-SIRT1 and anti-IRF8 Abs were obtained from Cell Signaling Technology; anti-WDR5 and anti-SUZ12 Abs were obtained from Abcam; and anti-ASH2, anti-RbBP5, and anti-MLL1 Abs were obtained from Bethyl Laboratories. The primers used are listed in Supplemental Table I.
Materials and Methods
Animals
Five- to 6-wk-old BALB/C and C57BL/6 mice were purchased from the Laboratory Animal Center of the Chinese Academy of Medical Sciences (Beijing, China). All mice were bred and maintained under specific pathogen-free conditions. Animal handling and experimental procedures were approved by the Animal Care and Use Committee of the Chinese Academy of Medical Sciences.
Coimmunoprecipitation
Cells were harvested and lysed in RIPA buffer. The lysates were incubated with protein A/G agarose beads (Millipore); SIRT1 Ab (10 mg) was subsequently added, and the resulting mixture was incubated overnight at 4˚C. Beads conjugated with lysates and SIRT1 Abs were precipitated, washed three times with RIPA buffer, and then analyzed by Western blot.
Culture of mouse BM-MSCs and BM-DCs
Lentiviral vector preparation and infection and small interfering RNA knockdown assay
MSCs were prepared and purified from mouse BM cells as previously described (37, 38). Mouse immature DCs (imDCs) and mature DCs (maDCs) were generated according to previously published protocols (39). In brief, BM mononuclear cells were prepared from BALB/C mouse femur BM suspensions by depletion of red cells and then cultured at a density of 2 3 106 cells/ml in RPMI 1640 supplemented with 10% FBS, 10 ng/ml GM-CSF, and 5 ng/ml IL-4 (R&D Systems). For imDCs, nonadherent cells were gently washed out on day 4, and the remaining loosely adherent cell clusters were collected. imDCs cultured for a further 4 d under the stimulation of 10 ng/ml bacterial LPS (Sigma-Aldrich) were used as maDCs.
Lentivirus production was carried out according to protocols from GenePharma. The small interfering RNA (siRNA) sequences of RBP-J, IRF8, and negative control were 59-GGTTACGCTGTGCTCTGAACA-39, 59- GCTGACTTGTGCATTGCTTCA-39, and 59-TTCTCCGAACGTGTCA- CGTTTC-39, respectively. GFP+ and red fluorescent protein+ cells were sorted by a BD FACSCalibur flow cytometer.
In vivo allogeneic delayed-type hypersensitivity assay
The allogeneic delayed-type hypersensitivity assay was performed as previously described (39).
Coculture experiment
HSCs were enriched from BM cells using an EasySep mouse hematopoietic progenitor enrichment kit (StemCell Technologies). After HSCs were purified, they were seeded onto Sca-1+CD1172Lin2 BM-MSC monolayers at a density of 1 3 105 cells in 2 ml per well in six-well plates, and MSC culture medium was replaced with RPMI 1640 supplemented with 10% FBS. The ratio of MSCs/HSCs is 1:10. In some cases, the experiments were divided into two groups: sBM-DCs (the cells in the sBM-DC group were treated with DMSO) and sBM-DCs plus N-[N-(3,5-difluorophen-
Preparation and treatment of inflammatory bowel disease mouse model
sBM-DCs were i.p. injected (3 3 106 cells/mouse) into six BALB/C recipient mice on days 26, 24, and 0. On day 0, the pretreated mice were injected by an intrarectal instillation of 2,4,6-trinitrobenzene sulfonic acid (TNBS; Sigma-Aldrich) in 150 mg/kg 1:1 ethanol/PBS solution via a 4-cm
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catheter (TNBS plus sBM-DCs); six mice were injected with TNBS and used as inflammatory bowel disease (IBD) model control (TNBS); six mice were injected with normal saline as normal controls. On day 5, the colon was photographed and stained with H&E. The levels of IL-12, IL-10, and TNF-a in serum were assessed by ELISA. The proportion of CD4+ CD25+ regulatory T lymphocytes in spleen was assessed using FACS analysis. CD11b+ splenocytes were isolated and used for detection IRF8 expression by Western blot analysis.
Statistical analysis
All statistical analysis was performed with SPSS software version 17.0. The p values were calculated using a Student t test, and p values ,0.05 were considered to be statistically significant.
Results
Sca-1+CD1172Lin2 BM-MSCs induce the generation of a novel DC population
Histology
To investigate the influence of MSCs on the differentiation of HSCs, we isolated Sca-1+CD1172Lin2 MSCs from BM (Supplemental Fig. 1A, 1B) and then seeded BM-HSCs on MSC monolayers at a ratio of
Colons of mice from different groups were harvested, fixed in 4% formalin for 48 h, and embedded in paraffin. Histological sections were cut and stained with H&E.
FIGURE 1. Sca-1+CD1172Lin2 BM-MSCs induce the generation of regulatory sBM-DCs. (A) Morphology of sBM-DCs induced from BM-HSCs cocultured with Sca-1+CD1172Lin2 BM-MSCs for 7 d compared with imDCs and maDCs. Scale bars, 20 mm. (B) Expression of functional molecules on sBM-DCs, imDCs, and maDCs. Red lines represent cells stained with isotype-matched control Abs. (C) The expression of DC transcription factors of sBM- DCs, imDCs, and maDCs examined by Western blot. imDCs and maDCs were used as controls. Representative data from one of three independent experiments are shown. (D) Phagocytic ability of sBM-DCs and maDCs examined by flow cytometric analysis. The gray lines represent the controls (Ctrol). Representative data from one of three independent experiments are shown. (E) Different secretion of cytokines by sBM-DCs, imDCs, and maDCs. Cells (5 3 105) grown in RPMI 1640 without serum and the supernatants were collected after 4 h. The levels of IL-10, IL-12, and TNF-a were analyzed by ELISA. ★p , 0.05, ★★p , 0.01.
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10:1 (HSCs/MSCs). During the coculture, the nonadherent HSCs gradually extended small and short processes from different points of the cell body to become DC-like cells, which we termed sBM-DCs (Fig. 1A). Phenotype analysis (Fig. 1B) showed that sBM-DCs, compared with maDCs, expressed a higher level of the myeloid lineage marker CD11b but lower levels of functional markers Ia, CD80, CD86, and CD40, similar to imDCs. In contrast to imDCs, addition of LPS to these cells could not increase the expression of the above markers (Supplemental Fig. 2A). To understand the molecular repertoires of sBM-DCs, based on the requirements for several transcription factors, we determined the expression of DC transcription factors as reported by Steinman and Idoyaga (40) by Western blot analysis (Fig. 1C). Interestingly, sBM-DCs expressed most of the aforementioned DC transcription factors such as IRF4, IRF8, PU.1, Ikaros, Batf3, Spib, and T cell–specific factor (TCF)4, but at lower levels compared with imDCs and maDCs, indicating that sBM-DCs represent a novel DC population with a similar phenotype but different transcription factor pattern to imDCs. We also found that sBM- DCs had a greater phagocytic capacity compared with maDCs (Fig. 1D). To further characterize sBM-DCs, we determined their cytokine expression patterns by ELISA (Fig. 1E). In contrast to maDCs, sBM- DCs secreted more IL-10 but less IL-12 and TNF-a, and this profile was not altered after LPS stimulation (Supplemental Fig. 2B), suggesting that sBM-DCs maybe be involved in immune regulation. These results demonstrate that mouse BM-derived Sca-1+CD1172Lin2 MSCs drive HSCs to differentiate into a unique population of DCs.
Fig. 1, sBM-DCs had a stable immature-like phenotype and secreted IL-10, an important inhibitory cytokine. We hypothesized that sBM- DCs may have immune regulatory functions. To confirm this hypothesis, we added sBM-DCs into an allogeneic lymphocyte coculture system and showed that they significantly suppressed lymphocyte proliferation (Fig. 2A). Meanwhile, we also observed that IFN-g and IL-2 levels in culture supernatant were greatly reduced in the presence of sBM-DCs (Fig. 2B). Thus, we have shown that sBM-DCs are a novel DC population with low immunogenicity and high immunoregulatory potential. Because sBM-DCs were potent inhibitors of the lymphocyte proliferation in vitro, we wondered whether sBM-DCs could also suppress allospecific immune reactions in vivo. An allogeneic delayed-type hypersensitivity experiment was performed. As shown in Fig. 2C, the footpad swelling of BALB/C mice receiving the alloantigen was suppressed significantly by infusion of sBM- DCs. Taken together, these results demonstrate that sBM-DCs might be used as a negative regulator of immune responses and have the potential to treat immune dysregulation diseases.