Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ERNAs and super-enhancer lncRNAs are functional in human prostate cancer

ABSTRACT: Prostate cancer (PCa) is one of the most commonly diagnosed cancers in males worldwide. lncRNAs (long non-coding RNAs) play a significant role in the occurrence and development of PCa. eRNAs (enhancer RNA) and SE-lncRNAs (super-enhancer lncRNA) are important elements of lncRNAs, but the role of eRNAs and SE-lncRNAs in PCa remains largely unclear. In this work, we identified 681 eRNAs and 292 SE-lncRNAs that were expressed differentially in PCa using a microarray. We constructed a transcriptional regulation network that eRNA related enhancer and the target genes shared the same TF binding motifs. Further, we investigated whether CTCF played a role in mediating the transcriptional regulation network. eRNAs, especially those that regulate androgen response genes, may be candidates for prognostic biomarkers and therapy targets. Our work provide a new perspective for developing medical treatments and therapies for prostate cancer.

ORGANISM(S): Homo sapiens

PROVIDER: GSE155056 | GEO | 2020/10/13

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

eRNAs and super-enhancer lncRNAs are functional in human prostate cancer

Project description:eRNAs and super-enhancer lncRNAs are functional in human prostate cancer

| PRJNA648359 | ENA

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

A genome–wide CRISPR activation screen identifies SCREEM a novel SNAI1 super-enhancer demarcated by eRNAs in monocytes [RIBO_RNA]

Project description:The genome is pervasively transcribed to produce a vast array of non-coding RNAs (ncRNAs). Long noncoding RNAs (lncRNAs) are transcripts of > 200 nucleotides and are best known for their ability to regulate gene expression. Enhancer RNAs (eRNAs) are subclass of lncRNAs that are synthesized from enhancer regions and have also been shown to coordinate gene expression. The biological function and significance of most lncRNAs and eRNAs remain to be determined. Epithelial to mesenchymal transition (EMT) is a ubiquitous cellular process that occurs during cellular migration, homeostasis, fibrosis, and cancer-cell metastasis. EMT-transcription factors, such as SNAI1 induce a complex transcriptional program that coordinates the morphological and molecular changes associated with EMT. Such complex transcriptional programs are often subject to coordination by networks of ncRNAs and thus can be leveraged to identify novel functional ncRNA loci. Here, using a genome-wide CRISPR activation (CRISPRa) screen targeting ~10,000 lncRNA loci we identified ncRNA loci that could either promote or attenuate EMT. We discovered a novel locus that we named SCREEM (SNAI1 cis-regulatory eRNAs expressed in monocytes). The SCREEM locus contained a cluster of eRNAs that when activated using CRISPRa induced expression of the neighboring gene SNAI1, driving concomitant EMT. However, the SCREEM eRNA transcripts themselves appeared dispensable for the induction of SNAI1 expression. Interestingly, the SCREEM eRNAs and SNAI1 were co-expressed in activated monocytes, where the SCREEM locus demarcated a monocyte-specific super-enhancer. These findings suggest an unexpected role for SNAI1 in monocytes. Exploration of the SCREEM-SNAI axis could reveal novel aspects of monocyte biology.

2023-03-02 | GSE223681 | GEO

A genome–wide CRISPR activation screen identifies SCREEM a novel SNAI1 super-enhancer demarcated by eRNAs in monocytes [gRNA_SCREEN]

2023-03-02 | GSE223683 | GEO

A genome–wide CRISPR activation screen identifies SCREEM a novel SNAI1 super-enhancer demarcated by eRNAs in monocytes [SNA1_RNA-Seq]

2023-03-02 | GSE223682 | GEO

eRNAs Promote Transcription by Establishing Chromatin Accessibility at Defined Genomic Loci

Project description:Transcription factors and DNA regulatory binding motifs are fundamental components of the gene regulatory network (GRN). Here, by using genome-wide occupancy profiling of master regulators of MyoGenesis (MyoD and MyoGenin), we show their extensive occupancy in the extragenic enhancer regions coinciding with RNA synthesis (i.e. eRNA). In particular, multiple regions coding for eRNAs were observed within regulatory region of MYOD1, including previously characterized Distal Regulatory Regions (DRR) and Core Enhancer (CE). While CERNA enhanced RNA polymerase II (PolII) occupancy and transcription at MYOD1, DRRRNA acted in trans to activate the downstream MyoGenic GRN. The deployment of transcriptional machinery to appropriate loci is contingent on chromatin accessibility, a rate-limiting step preceding PolII assembly. By nuclease sensitivity assay, we show that eRNAs increase genomic access to the transcriptional complex at defined regulatory regions. In conclusion, our data suggest eRNAs establish a cell-type-specific transcriptional circuitry by directing chromatin-remodeling events. Examination of MyoD and MyoG binding events and production of RNA at the enhancer sites during myogenic differentiation. We performed RNAi against enhancer-derived RNA (DRRi) which resulted in reduction of chromatin accessiblity and RNA polymerase II occupancy at defined regulatory elements. In complementary experiments, overexpression of DRR-RNA (pHAN_DRR1.2) resulted in early activation of MyoG. GFPi and GFP overexpression (pHAN_GFP) were used as control in these experiments, respectively.

2013-09-15 | E-GEOD-49313 | biostudies-arrayexpress

Functional Importance of eRNAs for Estrogen-dependent Gene Transcriptional Activation

2013-06-04 | GSE45822 | GEO

Strand-Specific Nuclear Transcriptome Analysis of Osteoclast Precursor Cells

Project description:To understand the pathogenic mechanisms of bone erosion in rheumatoid arthritis (RA), we investigated osteoclast-specific epigenetic programs, RANKL-responsive super-enhancers (SEs) and SE-associated enhancer RNAs (SE-eRNAs) in human osteoclasts. In this dataset, we validated the presence of the predicted SE-eRNAs.

2022-11-01 | GSE203359 | GEO

Transcriptome Analysis of Synovial CD14+ cells in Rheumatoid Arthritis Patients

2022-11-01 | GSE203357 | GEO

Assessing eRNAs associated with a cytokine-sensing mammary super-enhancer

Project description:Enhancers are transcription factor platforms that also bind RNA polymerase II and generate enhancer RNAs (eRNA). Although eRNAs have been suggested as predictors of enhancer activities and possibly key components facilitating transcription, there is little genetic evidence to support this. We address the biology of eRNAs in vivo and investigate eRNA patterns, expression levels and possible functions within a mammary-specific super-enhancer that is composed of three units with distinct transcriptional capacities. We show that eRNA levels do not correspond with the activities of their respective enhancer units. However, changes in eRNA expression upon deletion of individual enhancer units reflect the change in overall super-enhancer activity. These data provide genetic evidence that eRNA levels are not a reliable readout of individual enhancers, but they predict superenhancer activity in the absence of constituent elements.

2018-06-01 | GSE104206 | GEO

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