Browse
Submit Data
Databases
API
Help

Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

51 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Enhancer Activation Requires Trans-Recruitment of a Mega Transcription Factor Complex

ABSTRACT: This SuperSeries is composed of the SubSeries listed below. Enhancers provide critical information directing cell-type specific transcriptional programs, regulated by binding of signal-dependent transcription factors and their associated cofactors. Here we report that the most strongly activated estrogen (E2)-responsive enhancers are characterized by trans-recruitment and in situ assembly of a large 1-2MDa complex of diverse DNA-binding transcription factors by ERÎ± at ERE-containing enhancers. We refer to enhancers recruiting these factors as mega transcription factor-bound in trans (MegaTrans) enhancers. The MegaTrans complex is a signature of the most potent functional enhancers and is required for activation of enhancer RNA transcription and recruitment of coactivators, including p300 and Med1. The MegaTrans complex functions, in part, by recruiting specific enzymatic machinery, exemplified by DNA-dependent protein kinase. Thus, MegaTrans-containing enhancers represent a cohort of functional enhancers that mediate a broad and important transcriptional program and provide a molecular explanation for transcription factor clustering and hotspots noted in the genome. Refer to individual Series

ORGANISM(S): Homo sapiens

SUBMITTER: Daria Merkurjev

PROVIDER: E-GEOD-60272 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Json Xml

Similar Datasets

Enhancer Activation Requires Trans-Recruitment of a Mega Transcription Factor Complex (ChIP-seq)

Project description:Enhancers provide critical information directing cell-type specific transcriptional programs, regulated by binding of signal-dependent transcription factors and their associated cofactors. Here we report that the most strongly activated estrogen (E2)-responsive enhancers are characterized by trans-recruitment and in situ assembly of a large 1-2MDa complex of diverse DNA-binding transcription factors by ERÎ± at ERE-containing enhancers. We refer to enhancers recruiting these factors as mega transcription factor-bound in trans (MegaTrans) enhancers. The MegaTrans complex is a signature of the most potent functional enhancers and is required for activation of enhancer RNA transcription and recruitment of coactivators, including p300 and Med1. The MegaTrans complex functions, in part, by recruiting specific enzymatic machinery, exemplified by DNA-dependent protein kinase. Thus, MegaTrans-containing enhancers represent a cohort of functional enhancers that mediate a broad and important transcriptional program and provide a molecular explanation for transcription factor clustering and hotspots noted in the genome. Chromatin Immunoprecipitation (ChIP) assay followed by high throughput sequencing (ChIP-seq)

2014-10-09 | E-GEOD-60270 | biostudies-arrayexpress

Enhancer Activation Requires Trans-Recruitment of a Mega Transcription Factor Complex (Gro-seq)

Project description:Enhancers provide critical information directing cell-type specific transcriptional programs, regulated by binding of signal-dependent transcription factors and their associated cofactors. Here we report that the most strongly activated estrogen (E2)-responsive enhancers are characterized by trans-recruitment and in situ assembly of a large 1-2MDa complex of diverse DNA-binding transcription factors by ERÎ± at ERE-containing enhancers. We refer to enhancers recruiting these factors as mega transcription factor-bound in trans (MegaTrans) enhancers. The MegaTrans complex is a signature of the most potent functional enhancers and is required for activation of enhancer RNA transcription and recruitment of coactivators, including p300 and Med1. The MegaTrans complex functions, in part, by recruiting specific enzymatic machinery, exemplified by DNA-dependent protein kinase. Thus, MegaTrans-containing enhancers represent a cohort of functional enhancers that mediate a broad and important transcriptional program and provide a molecular explanation for transcription factor clustering and hotspots noted in the genome. Global Run On (GRO) assay followed by high throughput sequencing (GRO-seq)

2014-10-09 | E-GEOD-60271 | biostudies-arrayexpress

Functional Importance of eRNAs for Estrogen-dependent Gene Transcriptional Activation

Project description:The functional importance of gene enhancers in regulated gene expression is well established. In addition to widespread transcription of long non-coding RNA (ncRNA) transcripts in mammalian cells, bidirectional ncRNAs referred to as eRNAs are present on enhancers. However, it has remained unclear whether these eRNAs are functional, or merely a reflection of enhancer activation. Here, we report that 17 ?-estradiol (E2)-bound estrogen receptor alpha (ER?) on enhancers causes a global increase in eRNA transcription on enhancers adjacent to E2 upregulated coding genes. These induced eRNAs, as functional transcripts, appear to exert important roles for the observed ligand-dependent induction of target coding genes, causing an increased strength of specific enhancer:promoter looping initiated by ER? binding. Cohesin, present on many ER?-regulated enhancers even prior to ligand treatment, apparently contributes to E2-dependent gene activation by stabilizing E2/ER?/eRNA-induced enhancer:promoter looping. Our data indicate that eRNAs are likely to exert important functions in many regulated programs of gene transcription. The ChIP-seqs in this study measure the binding landscape of master transcription regulator of estrogen signaling - ER?, together with common histone marks including H3K27ac and H3K4me1 in MCF7 cells. These data serve as the basis to understand the enhancer map and subsequent analysis of eRNA expression using GRO-seq. The GRO-seq measures the trancription of nascent RNAs in the genome. From MCF7 cells treated with veichle or estrodial, we could identify estrogen-regulated eRNAs and subsequently could study their functions.

2013-06-04 | E-GEOD-45822 | biostudies-arrayexpress

Enhancer-bound LDB1 Regulates a Corticotrope Promoter Pausing Repression Program [ChIP-seq]

Project description:Substantial evidence supports the hypothesis that enhancers are critical regulators of cell type determination, orchestrating both positive and negative transcriptional programs; however, the basic mechanisms by which enhancers orchestrate interactions with cognate promoters during activation and repression events remain incompletely understood. Here we report the required actions of the LIM domain binding protein, LDB1/CLIM2/NLI, interacting with the enhancer binding protein, ASCL1, to mediate looping to target gene promoters and target gene regulation in corticotrope cells. LDB1-mediated enhancer:promoter looping appears to be required for both activation and repression of these target target gene promoter genes. While LDB1-dependend activated genes are regulated at the level of transcriptional initiation, the LDB1-dependent repressed transcription units appear to be regulated primarily at the level of promoter pausing, with LDB1 regulating recruitment of MTA2, a component of the NuRD complex, on these negative enhancers, required for the repressive enhancer function. These results indicate that LDB1-dependent looping events can deliver repressive cargo to cognate promoters to mediate promoter pausing events in a pituitary cell type. ChIP assay followed by high throughput sequencing (ChIP-seq)

2015-02-03 | E-GEOD-64483 | biostudies-arrayexpress

H4K12ac is regulated by estrogen receptor-alpha and is associated with BRD4 function and inducible transcription

Project description:Hormone-dependent gene expression requires dynamic and coordinated epigenetic changes. Estrogen receptor-positive (ER+) breast cancer is particularly dependent upon extensive chromatin remodeling and changes in histone modifications for the induction of hormone-responsive gene expression. Our previous studies established an important role of bromodomain-containing protein-4 (BRD4) in promoting estrogen-regulated transcription and proliferation of ER+ breast cancer cells. Here, we investigated the association between genome-wide occupancy of histone H4 acetylation at lysine 12 (H4K12ac) and BRD4 in the context of estrogen-induced transcription. Similar to BRD4, we observed that H4K12ac occupancy increases near the transcription start sites (TSS) of estrogen-induced genes as well as at distal ERα binding sites in an estrogen-dependent manner. Interestingly, H4K12ac occupancy highly correlates with BRD4 binding and enhancer RNA production on ERα-positive enhancers. Consistent with an importance in estrogen-induced gene transcription, H4K12ac occupancy globally increased in ER-positive cells relative to ER-negative cells and these levels were further increased by estrogen treatment in an ERα-dependent manner. Together, these findings reveal a strong correlation between H4K12ac and BRD4 occupancy with estrogen-dependent gene transcription and further suggest that modulators of H4K12ac and BRD4 may serve as new therapeutic targets for hormone-dependent cancers. ChIP-seq profiles of H4K12ac in MCF7 cells treated with +/- estrogen treatment and MCF10A cells.

2015-05-02 | E-GEOD-65886 | biostudies-arrayexpress

Genome-wide Binding Site Mapping of Retinoic Acid Receptors and Coregulators in Breast Cancer Cells

Project description:Retinoic acid (RA) triggers growth-suppressive effects in tumor cells and therefore RA and its synthetic analogs have great potential as anti-carcinogenic agents. RA effects are mediated by retinoic acid receptors (RARs), which regulate gene expression in an RA-dependent manner. To define the genetic network regulated by RARs in breast cancer cells, we identified RAR genomic targets using chromatin immunoprecipitation and expression analysis in a model breast cancer cell line MCF-7. Furthermore, we identified genomic binding sites for two putative RAR coregulators FoxA1 and GATA3. Keywords: ChIP-Chip Analysis This series contains ChIP-Chip raw data for four transcription factors (RARA, RARG, FoxA1 and GATA3) in MCF-7 cells. All the experiments are done in triplicates. We mapped the binding sites of RARA, RARG and GATA3 in the bacterial artificial chromosome (BAC) transgenic MCF7 cells in which we tagged the transcription factors with a modified LAP (localization and affinity purification) tag containing green fluorescent protein (GFP). Goat anti-GFP (raised against His-tagged full-length eGFP and affinity-purified with GST-tagged full-length eGFP) was used to perform ChIP experiments in those transgenic lines. To map the binding sites of RARs, MCF7 Cells were hormone-deprived for 3 days and then were treated with 100 nM AM580 (RARA-selective agonist) or 100 nM CD437 (RARG-selective agonist) for 1 hour at 80% confluence. FoxA1 binding sites were mapped using goat anti-FoxA1 antibodies (Abcam: ab5089). Control data include Input from MCF-7 cells. ChIP-Chip experiments with eGFP antibody in wide type MCF-7 cells are used to control eGFP antibody non-specific binding.

2009-03-16 | E-GEOD-15244 | biostudies-arrayexpress

Enhancer-bound LDB1 Regulates a Corticotrope Promoter Pausing Repression Program

Project description:This SuperSeries is composed of the SubSeries listed below. Refer to individual Series

2015-02-03 | E-GEOD-64516 | biostudies-arrayexpress

Enhancer Transcripts Mark Active Estrogen Receptor Binding Sites

Project description:In this study, we used Global Run-On sequencing (GRO-seq), a method that assays the genome-wide location and orientation of all active RNA polymerases. We generated a global profile of active transcription at ERM-NM-1 binding sites in MCF-7 human breast cancer cells in response to short time course of E2 treatment. This method enabled us to detect active transcription at enhancers and define a class of primary transcripts transcribed uni- or bidirectionally from the ERM-NM-1 binding sites. The raw data used in this study is from GSE27463 but sequenced to a greater depth. Using GRO-seq over a time course (0, 10, 40 min) of estrogen signaling in ER-alpha positive MCF-7 human breast cancer cells.

2013-05-08 | E-GEOD-43835 | biostudies-arrayexpress

Reprogramming Transcriptional Responses through Functionally-Distinct Classes of Enhancers in Prostate Cancer Cells [ChIP-Seq, Gro-Seq]

Project description:Mammalian genomes are populated with thousands of transcriptional enhancers that orchestrate cell type-specific gene expression programs; however, the potential that there are pre-established enhancers in different functional classes that permit alternative signal-dependent transcriptional responses has remained unexplored. Here we present evidence that cell lineage-specific factors, such as FoxA1, can simultaneously facilitate and restrict key regulated transcription factors, exemplified by the androgen receptor (AR), acting at structurally- and functionally-distinct classes of pre-established enhancers, thus licensing specific signal-activated responses while restricting others. Consequently, FoxA1 down-regulation, an unfavorable prognostic sign in advanced prostate tumors, causes a massive switch in AR binding from one functional class of enhancers to another, with a parallel switch in levels of enhancer-templated non-coding RNAs (eRNAs) revealed by the global run-on assay (GRO-seq), which documents the dramatic reprogramming of the hormonal response. The molecular basis for this switch lies in the release of FoxA1-mediated restriction of AR binding to the new enhancer class with no apparent nucleosome remodeling, which is required for stimulating their eRNA transcription and/or enhancing enhancer:promoter looping and gene activation. Together, these findings reveal a large repository of pre-determined enhancers in the human genome that can be dynamically tuned to induce their transcription and activation of alternative gene expression programs, which may underlie many sequential gene expression events in development or during disease progression. ChIP-Seq, Gro-Seq, and gene expression profiling was performed in LNCaP cells with hormone treatment and siRNA against FoxA1 ChIP-Seq and Gro-Seq data presented here. Supplementary file GroSeq.denovo.transcripts.hg18.bed represents analysis using GSM686948-GSM686950.

2011-05-15 | E-GEOD-27823 | biostudies-arrayexpress

Ligand-Dependent Enhancer Activation Regulated by Topoisomerase-I Activity

Project description:The discovery that enhancers are regulated transcription units, encoding eRNAs, has raised new questions about the mechanisms of their activation. Here, we report an unexpected molecular mechanism that underlies ligand-dependent enhancer activation, based on DNA nicking to relieve torsional stress from eRNA synthesis. Using dihydrotestosterone (DHT)-induced binding of androgen receptor (AR) to prostate cancer cell enhancers as a model, we show rapid recruitment, within minutes, of DNA topoisomerase I (TOP1) to a large cohort of AR-regulated enhancers. Furthermore, we show that the DNA nicking activity of TOP1 is a prerequisite for robust eRNA synthesis and enhancer activation and is kinetically accompanied by the recruitment of ATR and the MRN complex, followed by additional components of DNA damage repair machinery to the AR-regulated enhancers. Together, our studies reveal a linkage between eRNA synthesis and ligand-dependent TOP1-mediated nicking - a strategy exerting quantitative effects on eRNA expression in regulating AR-bound enhancer-dependent transcriptional programs. Genome-wide binding analysis of AR, TOP1, MRE11 in prostate cancer cell line LNCaP with or without 5alpha-dihydrotestosterone (DHT) treatment. Nascent RNA analysis by global nuclear run-on (GRO-seq) in LNCaP cells transfected with siRNA with or without DHT treatment. Distribution of transcriptionally engaged RNA Pol II in LNCaP cells with or without DHT treatment by precision nuclear run-on and sequencing (PRO-seq).

2015-01-22 | E-GEOD-63202 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data