Comprehensive meta-analysis of Signal Transducers and Activators of Transcription (STAT) genomic binding patterns discerns cell-specific cis-regulatory modules

BackgroundCytokine-activated transcription factors from the STAT (Signal Transducers and Activators of Transcription) family control common and context-specific genetic programs. It is not clear to what extent cell-specific features determine the binding capacity of seven STAT members and to what degree they share genetic targets. Molecular insight into the biology of STATs was gained from a meta-analysis of 29 available ChIP-seq data sets covering genome-wide occupancy of STATs 1, 3, 4, 5A, 5B and 6 in several cell types.ResultsWe determined that the genomic binding capacity of STATs is primarily defined by the cell type and to a lesser extent by individual family members. For example, the overlap of shared binding sites between STATs 3 and 5 in T cells is greater than that between STAT5 in T cells and non-T cells. Even for the top 1,000 highly enriched STAT binding sites, ~15% of STAT5 binding sites in mouse female liver are shared by other STATs in different cell types while in T cells ~90% of STAT5 binding sites are co-occupied by STAT3, STAT4 and STAT6. In addition, we identified 116 cis-regulatory modules (CRM), which are recognized by all STAT members across cell types defining a common JAK-STAT signature. Lastly, in liver STAT5 binding significantly coincides with binding of the cell-specific transcription factors HNF4A, FOXA1 and FOXA2 and is associated with cell-type specific gene transcription.ConclusionsOur results suggest that genomic binding of STATs is primarily determined by the cell type and further specificity is achieved in part by juxtaposed binding of cell-specific transcription factors.

[1]  Daeyoup Lee,et al.  Decoding the genome with an integrative analysis tool: Combinatorial CRM Decoder , 2011, Nucleic acids research.

[2]  Y. Kluger,et al.  Picking ChIP-seq peak detectors for analyzing chromatin modification experiments , 2012, Nucleic acids research.

[3]  N. D. Clarke,et al.  Integration of External Signaling Pathways with the Core Transcriptional Network in Embryonic Stem Cells , 2008, Cell.

[4]  L. Hennighausen,et al.  Genome-wide analyses reveal the extent of opportunistic STAT5 binding that does not yield transcriptional activation of neighboring genes , 2012, Nucleic acids research.

[5]  Geetu Tuteja,et al.  Foxa1 and Foxa2 regulate bile duct development in mice. , 2009, The Journal of clinical investigation.

[6]  Ernest Fraenkel,et al.  A Quantitative Model of Transcriptional Regulation Reveals the Influence of Binding Location on Expression , 2010, PLoS Comput. Biol..

[7]  Clifford A. Meyer,et al.  Model-based Analysis of ChIP-Seq (MACS) , 2008, Genome Biology.

[8]  L. Hennighausen,et al.  Interpretation of cytokine signaling through the transcription factors STAT5A and STAT5B. , 2008, Genes & development.

[9]  Cory Y. McLean,et al.  GREAT improves functional interpretation of cis-regulatory regions , 2010, Nature Biotechnology.

[10]  Dustin E. Schones,et al.  Priming for T helper type 2 differentiation by interleukin 2-mediated induction of IL-4 receptor α chain expression , 2008, Nature Immunology.

[11]  Irene K. Moore,et al.  A genomic code for nucleosome positioning , 2006, Nature.

[12]  Michael D. Wilson,et al.  Five-Vertebrate ChIP-seq Reveals the Evolutionary Dynamics of Transcription Factor Binding , 2010, Science.

[13]  M. Lane,et al.  CCAAT/enhancer binding protein alpha is sufficient to initiate the 3T3-L1 adipocyte differentiation program. , 1994, Proceedings of the National Academy of Sciences of the United States of America.

[14]  A. Dinner,et al.  Epigenetic repression of the Igk locus by STAT5-mediated recruitment of the histone methyltransferase Ezh2 , 2011, Nature Immunology.

[15]  Kairong Cui,et al.  Critical Role of STAT5 transcription factor tetramerization for cytokine responses and normal immune function. , 2012, Immunity.

[16]  S. Mandrup,et al.  Extensive chromatin remodelling and establishment of transcription factor ‘hotspots’ during early adipogenesis , 2011, The EMBO journal.

[17]  Michael D. Wilson,et al.  Species-Specific Transcription in Mice Carrying Human Chromosome 21 , 2008, Science.

[18]  J. Zeitlinger,et al.  A computational pipeline for comparative ChIP-seq analyses , 2011, Nature Protocols.

[19]  M. Zeidler,et al.  JAK/STAT signalling in Drosophila: insights into conserved regulatory and cellular functions , 2006, Development.

[20]  D. Haussler,et al.  Evolutionarily conserved elements in vertebrate, insect, worm, and yeast genomes. , 2005, Genome research.

[21]  J. Thierry-Mieg,et al.  Analysis of interleukin-21-induced Prdm1 gene regulation reveals functional cooperation of STAT3 and IRF4 transcription factors. , 2009, Immunity.

[22]  David A. Orlando,et al.  Master Transcription Factors Determine Cell-Type-Specific Responses to TGF-β Signaling , 2011, Cell.

[23]  Esko Ukkonen,et al.  MOODS: fast search for position weight matrix matches in DNA sequences , 2009, Bioinform..

[24]  J. Darnell,et al.  Transcriptional responses to polypeptide ligands: the JAK-STAT pathway. , 1995, Annual review of biochemistry.

[25]  Cole Trapnell,et al.  Ultrafast and memory-efficient alignment of short DNA sequences to the human genome , 2009, Genome Biology.

[26]  E. Davidson,et al.  Gene regulatory networks for development. , 2005, Proceedings of the National Academy of Sciences of the United States of America.

[27]  Raja Jothi,et al.  esBAF Facilitates Pluripotency by Conditioning the Genome for LIF/STAT3Signalingand by Regulating Polycomb Function , 2011, Nature Cell Biology.

[28]  Dennis B. Troup,et al.  NCBI GEO: archive for functional genomics data sets—10 years on , 2010, Nucleic Acids Res..

[29]  Ole Winther,et al.  JASPAR, the open access database of transcription factor-binding profiles: new content and tools in the 2008 update , 2007, Nucleic Acids Res..

[30]  Philip Machanick,et al.  MEME-ChIP: motif analysis of large DNA datasets , 2011, Bioinform..

[31]  Heidi Dvinge,et al.  PeakAnalyzer: Genome-wide annotation of chromatin binding and modification loci , 2010, BMC Bioinformatics.

[32]  Jun Hyoung Lee,et al.  Phenotypic engineering by reprogramming gene transcription using novel artificial transcription factors in Escherichia coli , 2008, Nucleic acids research.

[33]  C. Martinez-Jimenez,et al.  Hepatocyte Nuclear Factor 4 (cid:1) Coordinates a Transcription Factor Network Regulating Hepatic Fatty Acid Metabolism (cid:1) , 2010 .

[34]  J. Darnell,et al.  Spacing of palindromic half sites as a determinant of selective STAT (signal transducers and activators of transcription) DNA binding and transcriptional activity. , 1995, Proceedings of the National Academy of Sciences of the United States of America.

[35]  P. Bickel,et al.  Systematic evaluation of factors influencing ChIP-seq fidelity , 2012, Nature Methods.

[36]  T. Laajala,et al.  A practical comparison of methods for detecting transcription factor binding sites in ChIP-seq experiments , 2009, BMC Genomics.

[37]  A. Strasser,et al.  Role of STAT5 in controlling cell survival and immunoglobulin gene recombination during pro-B cell development , 2010, Nature Immunology.

[38]  Peter White,et al.  Hepatocyte-specific ablation of Foxa2 alters bile acid homeostasis and results in endoplasmic reticulum stress , 2008, Nature Medicine.

[39]  J. Darnell,et al.  Signalling: STATs: transcriptional control and biological impact , 2002, Nature Reviews Molecular Cell Biology.

[40]  R. E. Tillman,et al.  The role of the Runx transcription factors in thymocyte differentiation and in homeostasis of naive T cells , 2007, The Journal of experimental medicine.

[41]  E. Segal,et al.  Predicting expression patterns from regulatory sequence in Drosophila segmentation , 2008, Nature.

[42]  本間 順平 神経膠腫におけるCCAAT/Enhancer Binding Protein β発現の検討 , 2005 .

[43]  J. Stamatoyannopoulos,et al.  Chromatin accessibility pre-determines glucocorticoid receptor binding patterns , 2011, Nature Genetics.

[44]  William Stafford Noble,et al.  Quantifying similarity between motifs , 2007, Genome Biology.

[45]  Yaniv Lubling,et al.  Distinct Modes of Regulation by Chromatin Encoded through Nucleosome Positioning Signals , 2008, PLoS Comput. Biol..

[46]  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.

[47]  Lee E. Edsall,et al.  A map of the cis-regulatory sequences in the mouse genome , 2012, Nature.

[48]  David R. Kelley,et al.  Differential gene and transcript expression analysis of RNA-seq experiments with TopHat and Cufflinks , 2012, Nature Protocols.

[49]  R. Myers,et al.  IκB kinase ε (IKKε) regulates the balance between type I and type II interferon responses , 2011, Proceedings of the National Academy of Sciences.

[50]  K. Ikuta,et al.  Physical and functional interactions between STAT5 and Runx transcription factors. , 2008, Journal of biochemistry.

[51]  J. Darnell,et al.  The JAK-STAT pathway at twenty. , 2012, Immunity.

[52]  C. Zang,et al.  Discrete roles of STAT4 and STAT6 transcription factors in tuning epigenetic modifications and transcription during T helper cell differentiation. , 2010, Immunity.

[53]  D. Waxman,et al.  Codependence of growth hormone-responsive, sexually dimorphic hepatic gene expression on signal transducer and activator of transcription 5b and hepatic nuclear factor 4alpha. , 2006, Molecular endocrinology.

[54]  P. Sham,et al.  A note on the calculation of empirical P values from Monte Carlo procedures. , 2002, American journal of human genetics.

[55]  S Miyano,et al.  Open source clustering software. , 2004, Bioinformatics.

[56]  D. Waxman,et al.  Dynamic, Sex-Differential STAT5 and BCL6 Binding to Sex-Biased, Growth Hormone-Regulated Genes in Adult Mouse Liver , 2011, Molecular and Cellular Biology.

[57]  Inanc Birol,et al.  Locus co-occupancy, nucleosome positioning, and H3K4me1 regulate the functionality of FOXA2-, HNF4A-, and PDX1-bound loci in islets and liver. , 2010, Genome research.

[58]  Riitta Lahesmaa,et al.  Genomic views of STAT function in CD4+ T helper cell differentiation , 2011, Nature Reviews Immunology.

[59]  J. Schug,et al.  Genome-Wide Location Analysis Reveals Distinct Transcriptional Circuitry by Paralogous Regulators Foxa1 and Foxa2 , 2012, PLoS genetics.

[60]  W. Leonard,et al.  Modulation of cytokine receptors by IL-2 broadly regulates differentiation into helper T cell lineages , 2011, Nature Immunology.

[61]  Ernest Fraenkel,et al.  Unbiased, Genome-Wide In Vivo Mapping of Transcriptional Regulatory Elements Reveals Sex Differences in Chromatin Structure Associated with Sex-Specific Liver Gene Expression , 2010, Molecular and Cellular Biology.