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Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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Genome-wide profiling of target genes for the systemic lupus erythematosus-associated transcription factors IRF5 and STAT4

ABSTRACT: IRF5 and STAT4 are strongly associated with human systemic lupus erythematosus (SLE). By performing chromatin immunoprecipitation-sequencing (ChIP-Seq) in human peripheral blood mononuclear cells (PBMCs), we identified more than 7000 target genes for IRF5 and STAT4 in stimulated PBMCs. Contrarily, without stimulation IRF5 seemed to be inactive, and STAT4 only showed low levels of transcriptional regulatory activity. Target genes of IRF5 and STAT4 were identified in human PBMCs with or without stimulation using ChIP-Seq.

ORGANISM(S): Homo sapiens

SUBMITTER: Chuan Wang

PROVIDER: E-GEOD-38567 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Genome-wide profiling of target genes for the systemic lupus erythematosus-associated transcription factors IRF5 and STAT4.

Wang Chuan C Sandling Johanna K JK Hagberg Niklas N Berggren Olof O Sigurdsson Snaevar S Karlberg Olof O Rönnblom Lars L Eloranta Maija-Leena ML Syvänen Ann-Christine AC

Annals of the rheumatic diseases 20120623 1

<h4>Background</h4>The transcription factors interferon regulatory factor 5 (IRF5) and signal transducer and activator of transcription 4 (STAT4) are encoded by two of the strongest susceptibility genes for systemic lupus erythematosus (SLE).<h4>Objective</h4>To investigate the target genes and functional roles of IRF5 and STAT4 in human peripheral blood mononuclear cells (PBMCs).<h4>Methods</h4>Chromatin immunoprecipitation-sequencing (ChIP-seq) was performed in PBMCs stimulated to activate IRF ...[more]

PMID: 22730365

Similar Datasets

Genome-wide profiling of target genes for the systemic lupus erythematosus-associated transcription factors IRF5 and STAT4

Project description:IRF5 and STAT4 are strongly associated with human systemic lupus erythematosus (SLE). By performing chromatin immunoprecipitation-sequencing (ChIP-Seq) in human peripheral blood mononuclear cells (PBMCs), we identified more than 7000 target genes for IRF5 and STAT4 in stimulated PBMCs. Contrarily, without stimulation IRF5 seemed to be inactive, and STAT4 only showed low levels of transcriptional regulatory activity.

2012-06-08 | GSE38567 | GEO

The Transcription Factor T-bet Is Induced by Multiple Pathways and Prevents an Endogenous Th2 Cell Program during Th1 Cell Responses

Project description:T-bet is a critical transcription factor for T helper 1 (Th1) cell differentiation. To study the regulation and functions of T-bet, we developed a T-bet-ZsGreen reporter mouse strain, in which GFP faithfully reflects the expression of T-bet. By using this tool, we report that signals elicited by IL-12 and IFNg are redundant in inducing T-bet in mice infected with Toxoplasma gondii and that T-bet does not contribute to its own expression when induced by IL-12 and IFNg. While both T-bet and Stat4 are critical for IFNg production, IFNg signaling is dispensable. Strikingly, loss of T-bet results in activation of an endogenous Th2 program in cells expressing T-bet-ZsGreen. Genome-wide analyses suggest T-bet directly induces Th1-related genes but indirectly suppresses Th2-related genes. Our study revealed redundancy and synergy among several Th1-inducing pathways in regulating the expression of T-bet and IFNg, and a critical role of T-bet in suppressing an endogenous Th2 program. RNA-Seq experiments were performed using total RNAs isolated from both wild type and Tbx21-/- Th1 cells in duplicates. Tbet ChIP-seq was performed using wild type Th1 cells. H3K4me1 and H3K27me3 ChIP-seq was performed using both wild type and Tbx21-/- Th1 cells.

2012-10-04 | E-GEOD-38808 | biostudies-arrayexpress

Early T-helper 1 Differentiation Is Marked by A Follicular Helper-like Transition: Differential Roles of STAT4 and T-bet

Project description:Follicular helper T (Tfh) cells comprise an important subset of helper T cells; however, their relationship with other helper lineages is incompletely understood. Herein, we show IL-12 acting via signal transducer and activator of transcription 4 (STAT4) induced both Il21 and Bcl6 genes, generating cells with features of both Tfh and Th1 cells. However, STAT4 also induced T-bet. Using ChIP-seq, we defined the genome-wide targets of T-bet and found that it repressed Bcl6 and other markers of Tfh cells, thereby attenuating the nascent Tfh-like phenotype in the late phase of Th1 specification. Finally, Tfh-like T cells were rapidly generated following Toxoplasma gondii infection in mice, but T-bet constrained Tfh cells expansion and consequent germinal center formation and antibody production. Our data argue that Tfh and Th1 share a transitional stage through the signal mediated by STAT4, which promotes both phenotypes. However, T-bet represses Tfh functionalities, promoting full Th1 differentiation. The roles of STAT4 and T-bet to determine T helper cell fate were investigated by comparing DNA binding profiles of STAT4 and T-bet in Th1 conditions. The functional outcome was further evaluated by profiling DNase hypersensitivity sites and histone epigenetic marks between WT and STAT4-deficient or T-bet-deficient T cells in Th1 conditions.

2011-12-27 | E-GEOD-33802 | biostudies-arrayexpress

Protein-tyrosine kinase 2-beta activates Interferon Regulatory Factor 5 to control inflammation

Project description:Interferon regulatory factor 5 (IRF5) plays a distinct role in the regulation of immune responses in health and disease and is a genetic risk factor several autoimmune conditions, including systemic lupus erythematosus, diabetes, arthritis and inflammatory bowel disease. IRF5 function as a transcription factor requires post-translational modifications of the protein such as phosphorylation. Though several upstream signalling regulators of IRF5 have been identified, there is as yet little understanding of how they control IRF5 activity or whether other unknown kinases are involved. In this study, we systematically searched for IRF5 kinases using a reporter-based method for screening a library of 365 inhibitors of protein kinases. Based on the pool of the identified IRF5-inhibiting compounds we have compiled a list of putative IRF5 kinases, which we tested in subsequent in vitro assays. Protein-tyrosine kinase 2-beta (Ptk2b or PYK2) was one of the top hits, capable of binding to and phosphorylating mouse IRF5 at tyrosine (Y) 171. We have shown that IRF5 recruitment to target genes and IRF5-dependent transcription was impaired in cells treated with highly selective PYK2 inhibitors or in PYK2-deficient cells. Moreover, expression of pro-inflammatory cytokines was blocked in the supernatants of human biopsies from inflamed colon of patients with ulcerative colitis and treated ex vivo with a PYK2 inhibitor. Thus, we have identified a major role for PYK2 in regulating the inflammatory response and mapped its activity to the IRF5 innate sensing pathways.

2021-10-14 | PXD014033 | Pride

Discrete Roles of STAT4 and STAT6 Transcription Factors in Tuning Epigenetic Modifications and Transcription during Helper T Cell Differentiation (ChIP-Seq)

Project description:Signal transducer and activator of transcription 4 (STAT4) and STAT6 are key factors in the specification of helper T cells; however, their direct roles in driving differentiation are not well understood. Using chromatin immunoprecipitation and massive parallel sequencing, we quantitated the full complement of STAT-bound genes, concurrently assessing global STAT-dependent epigenetic modifications and gene transcription using cells from cognate STAT-deficient mice. STAT4 and STAT6 each bound over 4000 genes with distinct binding motifs. Both played critical roles in maintaining chromatin configuration and transcription of a core subset of genes through the combination of different epigenetic patterns. Globally, STAT4 had a more dominant role in promoting active epigenetic marks, whereas STAT6 had a more prominent role in antagonizing repressive marks. Clusters of genes negatively regulated by STATs were also identified, highlighting previously unappreciated repressive roles. Therefore, STAT4 and STAT6 play wide regulatory roles in T helper specification. The roles of STAT proteins to shape T helper cell phenotype was investigated by comparing DNA binding profiles of STAT4 and STAT6 in Th1 and Th2 conditions. The functional outcome of STAT bindings was further evaluated by profiling histone epigenetic marks and gene expression changes between WT and STAT-deficient T cells in Th1 and Th2 conditions.

2010-06-18 | E-GEOD-22104 | biostudies-arrayexpress

Discrete Roles of STAT4 and STAT6 Transcription Factors in Tuning Epigenetic Modifications and Transcription during Helper T Cell Differentiation

Project description:This SuperSeries is composed of the following subset Series: GSE22081: Discrete Roles of STAT4 and STAT6 Transcription Factors in Tuning Epigenetic Modifications and Transcription during Helper T Cell Differentiation (gene expression) GSE22104: Discrete Roles of STAT4 and STAT6 Transcription Factors in Tuning Epigenetic Modifications and Transcription during Helper T Cell Differentiation (ChIP-Seq) Refer to individual Series

2010-06-17 | E-GEOD-22105 | biostudies-arrayexpress

Comparison of different hashing methods on human PBMCs and primary mice tissues

Project description:the aim 1 was to evaluate hashing (sample multiplexing) accuracy of TotalSeq-B antibodies and CellPlex (a multiplexing solution from 10x Genomics) on 2 pools of PBMCs from 3 different donors. Thus the genetic difference between donors was used as a ground truth for sample demultiplexing based on antibody or lipid hashing hashing. the aim 2 was to evaluate TotalSeq antibody and lipid hashing on different mice primary tissues using different hashing protocols.

2022-02-12 | E-MTAB-11401 | biostudies-arrayexpress

PBMC_A data-independent acquisition (DIA)-based quantification workflow for proteome analysis of 5000 cells

Project description:An optimized workflow for nanoscale proteomics is applied to the proteomics profiling of 5000 PBMCs in DIA mode on Orbitrap Lumos.

2022-04-27 | PXD029721 | Pride

Gene expression data from uninfected and rhinovirus-infected peripheral blood mononuclear cells from 98 individuals

Project description:Rhinovirus (RV) is the most prevalent human respiratory virus. Each year, RV infects billions of people and is responsible for at least half of all common colds, the most common illness of humans. RV infection also affects the morbidity of a range of respiratory illnesses, such as bronchiolitis, pneumonia, asthma, chronic obstructive pulmonary disease, and cystic fibrosis. Despite its biological importance and public health significance, little is known about the genetic architecture of response to RV. To address this, we obtained genome-wide genotype and gene expression data in uninfected and RV-infected peripheral blood mononuclear cells (PBMCs) from 98 individuals. We characterized gene expression differences in response to RV infection and mapped expression quantitative trait loci (eQTLs) in both uninfected and RV-infected PBMCs. The study includes data from uninfected and rhinovirus-infected peripheral blood mononuclear cells (PBMCs) from 98 individuals. Twenty ml of blood was drawn from each participant. PBMCs were isolated from whole blood samples by Ficoll-Paque separation. From each subject, 4 million PBMCs were treated with media alone for 24 hours and 4 million PBMCs were treated with media containing RV16 for 24 hours. The multiplicity of infection was 10 plaque-forming units per cell. Total RNA was extracted after 24-hour incubation, using the RNeasy Plus Mini Kit; concentrations were measured on a Nanodrop ND-100 Spectrophotometer and quality was assessed using an Agilent 2100 Bioanalyzer. Genome wide gene expression profiling of uninfected and rhinovirus-infected PBMCs was obtained using Illumina HumanHT-12 v4 Expression BeadChip arrays at the University of Chicago Functional Genomics Core.

2015-04-14 | E-GEOD-53543 | biostudies-arrayexpress

Essential role of the transcription factors E2A and E2-2 in germinal center B cell and plasma cell development

Project description:E2A is an essential regulator of early B-cell development. Here we demonstrated that E2A together with E2-2 controlled germinal-center B-cell and plasma cell development. As shown by identification of regulated E2A,E2-2 targets in activated B-cells, these E-proteins directly activated genes with important functions in germinal-center B-cells and plasma cells by inducing or maintaining DNase I hypersensitive sites. Through controlling multiple enhancers in the Igh 3â regulatory region and Aicda locus, E-proteins regulated class switching by inducing both Igh germline transcription and AID expression. By regulating 3â Igk enhancers and a distal element at the Prdm1 (Blimp1) locus, E-proteins contributed to Igk, Igh and Prdm1 activation in plasmablasts. These data identified E2A and E2-2 as central regulators of B-cell immunity. 56 samples in total: A) 38 RNA-Seq samples in 5 cell types: Follicular B cells (FO B cell, 2 genotypes, 2 replicates each) Activated B cells (Act B cell, 2 genoytpes, 6 stimulations, 2 replicates each) Pre-Plasmablasts (Pre-PB, 1 genotype, 2 stimulations, 2 replicates each) Plasmablasts (PB, 1 genotype, 2 stimulations, 2 replicates each) Germline Center B cells (GC B cell, 1 genotype, 2 replicates); B) 13 ChIP-Seq samples in 5 cell types: FO B cell (E2A, 2 crosslinking types, 1 replicate each) Act B cell (E2A, 2 crosslinking types, 2 stimulations, 1 replicate each; H3K27ac, 1 crosslinking type, 1 stimulation, 2 genotypes, 1 replicate each) Pre-PB (E2A, 2 crosslinking types, 1 stimulation, 1 replicate each) PB (E2A, 2 crosslinking types, 1 stimulation, 1 replicate each) Mature B cell (input); C) 5 ATAC Seq samples in 2 cell types: Act B cell (2 stimulations, 2 genotypes, 1 replicate each), Pre-PB (1 stimulation, 1 genotype, 1 replicate).

2016-06-01 | E-GEOD-77744 | biostudies-arrayexpress

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