Dynamic organization and activation of enhancers and super-enhancers dictate effector and memory CD8+ T cell responses
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA306032 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR3001750.fastq.gz | Fastqsanger.gz | |||
| SRR3001760.fastq.gz | Fastqsanger.gz | |||
| SRR3001770.fastq.gz | Fastqsanger.gz | |||
| SRR3001751.fastq.gz | Fastqsanger.gz | |||
| SRR3001761.fastq.gz | Fastqsanger.gz |
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Project description:Our experiments aimed to investigate the landscape of enhancers and super-enhancers in naïve, effector and memory CD8+ T cells. Here we mapped four histone modification marks and gene expression in naive, effector, and memory cells after viral infection. Our results suggest that the chromatin environment at regulatory DNA sequences in TCM is more permissive than in TN and TE. We further predicted the enhancers and their targets, and constructed transcriptional regulatory networks (TRNs) in three T cell stages. We have identified a highly dynamic repertoire of the enhancers and their targets during CD8 T cell responses, as 77% of the enhancers and 82% of the enhancer-promoter interactions are stage-specific. Our results suggest the dynamic change of enhancer activity during cell stage transition leads to TRN rewiring, which explains the expression change of the key factors of T cell function.
2016-10-01 | GSE76029 | GEO
Project description:Our experiments aimed to investigate the landscape of enhancers and super-enhancers in naïve, effector and memory CD8+ T cells. Here we mapped four histone modification marks and gene expression in naive, effector, and memory cells after viral infection. Our results suggest that the chromatin environment at regulatory DNA sequences in TCM is more permissive than in TN and TE. We further predicted the enhancers and their targets, and constructed transcriptional regulatory networks (TRNs) in three T cell stages. We have identified a highly dynamic repertoire of the enhancers and their targets during CD8 T cell responses, as 77% of the enhancers and 82% of the enhancer-promoter interactions are stage-specific. Our results suggest the dynamic change of enhancer activity during cell stage transition leads to TRN rewiring, which explains the expression change of the key factors of T cell function.
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Project description:Super-enhancers are large clusters of transcriptional enhancers that drive expression of genes that control and define cell identity. Improved understanding of the roles super-enhancers play in biology would be afforded by knowing the constellation of factors that constitute these domains and by identifying super-enhancers across the spectrum of human cell types. We describe here the population of transcription factors, cofactors, chromatin regulators and core transcription apparatus that occupy super-enhancers in embryonic stem cells (ESCs) and evidence that super-enhancers are highly transcribed. We then use epigenomic data to produce a catalogue of super-enhancers in a broad range of human cell types. These super-enhancer domains are associated with genes encoding master transcription factors and other components that play important roles in the biology of these cells. Interestingly, sequence variation associated with a broad spectrum of diseases is especially enriched in the super-enhancers of disease-relevant cell types. Furthermore, we find that cancer cells generate super-enhancers at oncogenes and other genes that play important roles in tumor pathogenesis. We discuss these insights and their implications for future study of human health and disease. ChIP-Seq for transcription factors in mouse embryonic stem cells and H3K27ac in Jurkat T-ALL cell line RNA-Seq for mouse embryonic stem cells
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Project description:Using GRO-Seq, we find extensive regulation of enhancer RNAs (eRNA) within super-enhancers in response to lipopolysaccharide treatment in macrophages. Both activation and repression of gene expression are associated with super-enhancers and eRNA transcription dynamics. Co-treatment of LPS and the anti-inflammatory drug dexamethasone targeted specific super-enhancers by attenuating their eRNA expression, leading to reduced expression of key inflammatory genes. We propose that super-enhancers function as molecular rheostats integrating the binding profiles of key regulators to produce dynamic profiles of gene expression. Nascent transcriptome (GRO-Seq) analysis over a time course (0, 20, 60, 180 min) of Lipopolisaccharide and Dexamethasone signaling in mouse bone marrow-derived macrophages.
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Project description:Chromatin regulators have become highly attractive targets for cancer therapy, yet many of these regulators are expressed in a broad range of healthy cells and contribute generally to gene expression. An important conundrum has thus emerged: how can inhibition of a general regulator of gene expression produce selective effects at specific oncogenes? Here we investigate how inhibition of the transcriptional coactivator BRD4 (Bromodomain containing 4) leads to selective inhibition of disease-critical oncogenes in a highly malignant blood cancer, multiple myeloma (MM). We found that BRD4 generally occupies the promoter elements of active genes together with the Mediator coactivator, but remarkably high levels of these two coactivator proteins were associated with a small set of exceptionally large enhancers. These super-enhancers are associated with genes that feature prominently in MM biology, including the MYC oncogene. Treatment of MM tumor cells with the BET-bromodomain inhibitor JQ1 led to preferential loss of BRD4 at super-enhancers and consequent transcription elongation defects that preferentially impact genes with super-enhancers, including the c-MYC oncogene. Super-enhancers were found at key oncogenic drivers in many other tumor cells. Thus, super-enhancers can regulate oncogenic drivers in tumor cells, which in some cells can be preferentially disrupted by BRD4 inhibition, which in turn contributes to the selective transcriptional effects observed at these oncogenes. These observations have implications for the discovery of novel cancer therapeutics directed at components of super-enhancers in diverse tumor types. ChIP-Seq for chromatin regulators and RNA Polymerase II in multiple myeloma, glioblastoma multiforme, and small cell lung cancer
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Project description:Super-enhancers may regulate target genes through chromatin looping. We connected super-enhancers in the K562 chronic myelogenous leukemia cell line with chromatin interactions identified from Chromatin Interaction Analysis with Paired-End Tag (ChIA-PET) data. Gene expression at proximal elements that are connected with distal super-enhancers showed significantly higher cell-type specificity than at proximal elements connected with other elements or not involved in interaction. 4C and Episwitch analysis of chromatin interactions showed that certain chromatin interactions are cell-specific, but others are more general. While super-enhancers upstream of c-MYC at the MYC-335 element can be found in other cancers, only super-enhancers downstream of c-MYC can be found in K562. 4C analysis of the c-MYC promoter revealed no chromatin interactions that are directed upstream of c-MYC, but only downstream of c-MYC, in the PVT1 long non-coding RNA gene. Cell-specific usage of super-enhancers could explain why the MYC-335 element that is associated with many solid cancers such as colorectal cancer and breast cancer, but not with leukemia. Surprisingly, we found that a chromatin interaction between c-MYC and a c-MYC super-enhancer is lost in chronic myelogenous leukemia patient blood as compared with blood from individuals without the disease through Oxford Biodynamicsâ?? Episwitch analysis. These results provide evidence for fine-tuning of expression patterns, such as cell-specific regulation of target genes by distal super-enhancers through chromatin interactions and an association between chromatin interactions and disease, and highlight that super-enhancers are more complex than previously described. Examination of several chromatin interactions involving super-enhancers using 4C-Seq and Episwitch (TM)
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Project description:Super-enhancers are principal determinants of cell transcription, development, phenotype, and oncogenesis, not yet implicated in host-pathogen interactions. We found four Epstein-Barr virus (EBV) oncoproteins and five EBV-activated NF-M-oM-^AM-+B subunits co-occupying thousand of enhancer sites in EBV-transformed lymphoblastoid cells (LCLs). Of these, 187 had markedly higher and broader histone H3K27ac signals characteristic of super-enhancer formation, and were designated M-bM-^@M-^\EBV super-enhancersM-bM-^@M-^]. EBV super-enhancer associated genes included MYC and BCL2, which enable LCL proliferation and survival. EBV super-enhancers were enriched for specific B cell transcription factor motifs and had high STAT5 and NFAT co-occupancy. EBV super-enhancer associated genes were more highly expressed than other LCL genes. Disruption of EBV super-enhancers by the bromo-domain inhibitor, JQ1, by conditional inactivation of an EBV oncoprotein or NF-M-oM-^AM-+B, decreased MYC or BCL2 gene expression and arrested LCL growth. These findings provide novel insights into the mechanisms by which EBV causes lymphoproliferation and identify opportunities for therapeutic intervention. ChIP-seq was used to define the BRD4 genome-wide landscape in GM12878 lymphoblastoid cells.
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