Molecular diversification of regulatory T cells in nonlymphoid tissues

Different tissue microenvironments differentially refine Treg cell transcriptional regulatory modules already primed in lymphoid organs. Mapping Treg regulomes Technological advances are allowing immunologists to study rare populations of immune cells that take residence in various tissues including adipose tissue, skin, and the lung. Here, DiSpirito et al. have generated transcriptomes and chromatin accessibility maps of mouse regulatory T cells (Tregs) that reside in visceral adipose tissue, muscle, and the colon and compared them with the profiles generated from splenic Tregs. They have used these data sets to define transcriptional networks that are shared by all these populations and to identify networks that are unique to one or more tissue-resident Treg populations. Foxp3+CD4+ regulatory T cells (Tregs) accumulate in certain nonlymphoid tissues, where they control diverse aspects of organ homeostasis. Populations of tissue Tregs, as they have been termed, have transcriptomes distinct from those of their counterparts in lymphoid organs and other nonlymphoid tissues. We examined the diversification of Tregs in visceral adipose tissue, skeletal muscle, and the colon vis-à-vis lymphoid organs from the same individuals. The unique transcriptomes of the various tissue Treg populations resulted from layering of tissue-restricted open chromatin regions over regions already open in the spleen, the latter tagged by super-enhancers and particular histone marks. The binding motifs for a small number of transcription factor (TF) families were repeatedly enriched within the accessible chromatin stretches of Tregs in the three nonlymphoid tissues. However, a bioinformatically and experimentally validated transcriptional network, constructed by integrating chromatin accessibility and single-cell transcriptomic data, predicted reliance on different TF family members in the different tissues. The network analysis also revealed that tissue-restricted and broadly acting TFs were integrated into feed-forward loops to enforce tissue-specific gene expression in nonlymphoid-tissue Tregs. Overall, this study provides a framework for understanding the epigenetic dynamics of T cells operating in nonlymphoid tissues, which should inform strategies for specifically targeting them.

[1]  Ricardo J. Miragaia,et al.  Single-Cell Transcriptomics of Regulatory T Cells Reveals Trajectories of Tissue Adaptation , 2019, Immunity.

[2]  Allon M Klein,et al.  Single-cell gene expression reveals a landscape of regulatory T cell phenotypes shaped by the TCR , 2018, Nature Immunology.

[3]  Richard Bonneau,et al.  c-Maf-dependent regulatory T cells mediate immunological tolerance to a gut pathobiont , 2018, Nature.

[4]  W. Shi,et al.  The TNF Receptor Superfamily-NF-κB Axis Is Critical to Maintain Effector Regulatory T Cells in Lymphoid and Non-lymphoid Tissues. , 2017, Cell reports.

[5]  C. Plass,et al.  Genome-wide DNA methylation landscape defines specialization of regulatory T cells in tissues , 2017, Nature Immunology.

[6]  F. Nestle,et al.  Regulatory T Cells in Skin Facilitate Epithelial Stem Cell Differentiation , 2017, Cell.

[7]  Ana Conesa,et al.  Dynamic Gene Regulatory Networks of Human Myeloid Differentiation. , 2017, Cell systems.

[8]  J. Sonnenburg,et al.  Commensal Microbes and Hair Follicle Morphogenesis Coordinately Drive Treg Migration into Neonatal Skin. , 2017, Cell host & microbe.

[9]  A. Vandenbon,et al.  Guidance of regulatory T cell development by Satb1-dependent super-enhancer establishment , 2017, Nature Immunology.

[10]  A. Regev,et al.  Scaling single-cell genomics from phenomenology to mechanism , 2017, Nature.

[11]  A. Rao,et al.  Dynamic Changes in Chromatin Accessibility Occur in CD8+ T Cells Responding to Viral Infection. , 2016, Immunity.

[12]  Allon M. Klein,et al.  Single-cell barcoding and sequencing using droplet microfluidics , 2016, Nature Protocols.

[13]  C. Benoist,et al.  Singular role for T-BET+CXCR3+ regulatory T cells in protection from autoimmune diabetes , 2016, Proceedings of the National Academy of Sciences.

[14]  G. Plitas,et al.  Regulatory T Cells: Differentiation and Function , 2016, Cancer Immunology Research.

[15]  J. O’Shea,et al.  Developmental Acquisition of Regulomes Underlies Innate Lymphoid Cell Functionality , 2016, Cell.

[16]  C. Benoist,et al.  Poor Repair of Skeletal Muscle in Aging Mice Reflects a Defect in Local, Interleukin-33-Dependent Accumulation of Regulatory T Cells. , 2016, Immunity.

[17]  J. Schug,et al.  Integration of ATAC-seq and RNA-seq identifies human alpha cell and beta cell signature genes , 2016, Molecular metabolism.

[18]  D. Voehringer,et al.  The microbiota regulates type 2 immunity through RORγt+ T cells , 2015, Science.

[19]  Liza Konnikova,et al.  Individual intestinal symbionts induce a distinct population of RORγ+ regulatory T cells , 2015, Science.

[20]  Hans Clevers,et al.  Single-cell messenger RNA sequencing reveals rare intestinal cell types , 2015, Nature.

[21]  David Zemmour,et al.  Aire controls gene expression in the thymic epithelium with ordered stochasticity , 2015, Nature Immunology.

[22]  Allon M. Klein,et al.  Droplet Barcoding for Single-Cell Transcriptomics Applied to Embryonic Stem Cells , 2015, Cell.

[23]  Evan Z. Macosko,et al.  Highly Parallel Genome-wide Expression Profiling of Individual Cells Using Nanoliter Droplets , 2015, Cell.

[24]  Christine M. Miller,et al.  Antigen- and cytokine-driven accumulation of regulatory T cells in visceral adipose tissue of lean mice. , 2015, Cell metabolism.

[25]  Paolo Sassone-Corsi,et al.  Time for Food: The Intimate Interplay between Nutrition, Metabolism, and the Circadian Clock , 2015, Cell.

[26]  Matthew E. Ritchie,et al.  limma powers differential expression analyses for RNA-sequencing and microarray studies , 2015, Nucleic acids research.

[27]  W. Shi,et al.  The transcriptional regulators IRF4, BATF and IL-33 orchestrate development and maintenance of adipose tissue–resident regulatory T cells , 2015, Nature Immunology.

[28]  J. Stender,et al.  Environment Drives Selection and Function of Enhancers Controlling Tissue-Specific Macrophage Identities , 2015, Cell.

[29]  B. Spiegelman,et al.  Appearance and disappearance of the mRNA signature characteristic of Treg cells in visceral adipose tissue: Age, diet, and PPARγ effects , 2014, Proceedings of the National Academy of Sciences.

[30]  Stephen C. J. Parker,et al.  Stretch-Enhancers Delineate Disease-Associated Regulatory Nodes in T Cells , 2014, Nature.

[31]  I. Amit,et al.  Tissue-Resident Macrophage Enhancer Landscapes Are Shaped by the Local Microenvironment , 2014, Cell.

[32]  J. Stender,et al.  Environment Drives Selection and Function of Enhancers Controlling Tissue-Specific Macrophage Identities , 2014, Cell.

[33]  W. Huber,et al.  Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2 , 2014, Genome Biology.

[34]  N. Friedman,et al.  Chromatin state dynamics during blood formation , 2014, Science.

[35]  Juan Carlos Fernández,et al.  Multiobjective evolutionary algorithms to identify highly autocorrelated areas: the case of spatial distribution in financially compromised farms , 2014, Ann. Oper. Res..

[36]  Yasmine Belkaid,et al.  The Alarmin IL-33 Promotes Regulatory T Cell Function in the Intestine , 2014, Nature.

[37]  C. Benoist,et al.  A Special Population of Regulatory T Cells Potentiates Muscle Repair , 2013, Cell.

[38]  R. Young,et al.  Super-Enhancers in the Control of Cell Identity and Disease , 2013, Cell.

[39]  Howard Y. Chang,et al.  Transposition of native chromatin for fast and sensitive epigenomic profiling of open chromatin, DNA-binding proteins and nucleosome position , 2013, Nature Methods.

[40]  C. Benoist,et al.  Regulatory T cells in nonlymphoid tissues , 2013, Nature Immunology.

[41]  Danny Reinberg,et al.  A double take on bivalent promoters. , 2013, Genes & development.

[42]  F. Marincola,et al.  BACH2 represses effector programmes to stabilize Treg-mediated immune homeostasis - a new target in tumor immunotherapy? , 2013, Journal of Immunotherapy for Cancer.

[43]  Cole Trapnell,et al.  TopHat2: accurate alignment of transcriptomes in the presence of insertions, deletions and gene fusions , 2013, Genome Biology.

[44]  David A. Orlando,et al.  Selective Inhibition of Tumor Oncogenes by Disruption of Super-Enhancers , 2013, Cell.

[45]  David A. Orlando,et al.  Master Transcription Factors and Mediator Establish Super-Enhancers at Key Cell Identity Genes , 2013, Cell.

[46]  S. Nutt,et al.  Differentiation and function of Foxp3(+) effector regulatory T cells. , 2013, Trends in immunology.

[47]  T. Hashimshony,et al.  CEL-Seq: single-cell RNA-Seq by multiplexed linear amplification. , 2012, Cell reports.

[48]  Richard S. Sandstrom,et al.  BEDOPS: high-performance genomic feature operations , 2012, Bioinform..

[49]  C. Benoist,et al.  PPARγ is a major driver of the accumulation and phenotype of adipose-tissue Treg cells , 2012, Nature.

[50]  Steven L Salzberg,et al.  Fast gapped-read alignment with Bowtie 2 , 2012, Nature Methods.

[51]  Hui Liu,et al.  AnimalTFDB: a comprehensive animal transcription factor database , 2011, Nucleic Acids Res..

[52]  Tim F. Rayner,et al.  Foxp3+ follicular regulatory T cells control T follicular helper cells and the germinal center response , 2011, Nature Medicine.

[53]  Andrew R. Gehrke,et al.  Genome-wide analysis of ETS-family DNA-binding in vitro and in vivo , 2010, The EMBO journal.

[54]  C. Glass,et al.  Simple combinations of lineage-determining transcription factors prime cis-regulatory elements required for macrophage and B cell identities. , 2010, Molecular cell.

[55]  Christophe Benoist,et al.  Lean, but not obese, fat is enriched for a unique population of regulatory T cells that affect metabolic parameters , 2009, Nature Medicine.

[56]  L. Bradley Faculty Opinions recommendation of The transcription factor T-bet controls regulatory T cell homeostasis and function during type 1 inflammation. , 2009 .

[57]  Gonçalo R. Abecasis,et al.  The Sequence Alignment/Map format and SAMtools , 2009, Bioinform..

[58]  Daniel J. Campbell,et al.  T-bet controls regulatory T cell homeostasis and function during type-1 inflammation , 2009, Nature Immunology.

[59]  S. Horvath,et al.  WGCNA: an R package for weighted correlation network analysis , 2008, BMC Bioinformatics.

[60]  E. Chi,et al.  Regulatory T cell-derived interleukin-10 limits inflammation at environmental interfaces. , 2008, Immunity.

[61]  Christophe Benoist,et al.  Foxp3 transcription-factor-dependent and -independent regulation of the regulatory T cell transcriptional signature. , 2007, Immunity.

[62]  H. Weiner,et al.  Reciprocal developmental pathways for the generation of pathogenic effector TH17 and regulatory T cells , 2006, Nature.

[63]  James A. Cuff,et al.  A Bivalent Chromatin Structure Marks Key Developmental Genes in Embryonic Stem Cells , 2006, Cell.

[64]  Li Li,et al.  Conversion of Peripheral CD4+CD25− Naive T Cells to CD4+CD25+ Regulatory T Cells by TGF-β Induction of Transcription Factor Foxp3 , 2003, The Journal of experimental medicine.

[65]  S. Mangan,et al.  Structure and function of the feed-forward loop network motif , 2003, Proceedings of the National Academy of Sciences of the United States of America.

[66]  John D. Storey,et al.  Statistical significance for genomewide studies , 2003, Proceedings of the National Academy of Sciences of the United States of America.

[67]  Victor V Lobanenkov,et al.  The novel BORIS + CTCF gene family is uniquely involved in the epigenetics of normal biology and cancer. , 2002, Seminars in cancer biology.

[68]  C. Glass,et al.  Conditional Disruption of the Peroxisome Proliferator-Activated Receptor γ Gene in Mice Results in Lowered Expression of ABCA1, ABCG1, and apoE in Macrophages and Reduced Cholesterol Efflux , 2002, Molecular and Cellular Biology.

[69]  C. Benoist,et al.  Tissue Tregs. , 2016, Annual review of immunology.

[70]  R Core Team,et al.  R: A language and environment for statistical computing. , 2014 .

[71]  R. Nurieva,et al.  Follicular regulatory T (Tfr) cells with dual Foxp3 and Bcl6 expression suppress germinal center reactions , 2011, Nature medicine.

[72]  Ira M. Hall,et al.  BEDTools: a flexible suite of utilities for comparing genomic features , 2010, Bioinform..

[73]  Geoffrey E. Hinton,et al.  Visualizing Data using t-SNE , 2008 .

[74]  Gábor Csárdi,et al.  The igraph software package for complex network research , 2006 .