Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

An early Myc-dependent transcriptional program underlies enhanced macromolecular biosynthesis and cell growth during B-cell activation [RNA-seq]

ABSTRACT: Upon activation, lymphocytes exit quiescence and undergo substantial increases in cell size and RNA content. A key regulator in this process is the Myc transcription factor, which is directly induced by activating signals and is required for multiple facets of cell activation, including metabolic reprogramming, chromatin decompaction, RNA and protein accumulation, cell growth and proliferation. However, how Myc activity impacts on those diverse cellular processes remains unclear. We addressed this issue in primary mouse B-cells, based on conditional deletion of the c-myc gene prior to LPS stimulation. Myc was rapidly induced, was recruited to virtually all active promoters and enhancers (a phenomenon known as invasion), but had no direct impact on global transcriptional activity. Instead, Myc contributed to the swift up- and down-regulation of several hundred genes, including many known regulators of the aforementioned cellular processes. Myc-activated promoters were enriched for E-box consensus motifs, bound Myc at the highest levels and showed enhanced RNA Polymerase II recruitment, the opposite being true at down-regulated loci. Remarkably, the Myc-dependent signature identified in activated B-cells was also enriched in Myc-driven B-cell lymphomas: hence, besides modulation of new cancer-specific programs, the oncogenic action of Myc may largely rely on sustained deregulation of its normal physiological targets.

ORGANISM(S): Mus musculus

PROVIDER: GSE126338 | GEO | 2019/06/14

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

An early Myc-dependent transcriptional program underlies enhanced macromolecular biosynthesis and cell growth during B-cell activation [ChIP-seq]

Project description:Upon activation, lymphocytes exit quiescence and undergo substantial increases in cell size and RNA content. A key regulator in this process is the Myc transcription factor, which is directly induced by activating signals and is required for multiple facets of cell activation, including metabolic reprogramming, chromatin decompaction, RNA and protein accumulation, cell growth and proliferation. However, how Myc activity impacts on those diverse cellular processes remains unclear. We addressed this issue in primary mouse B-cells, based on conditional deletion of the c-myc gene prior to LPS stimulation. Myc was rapidly induced, was recruited to virtually all active promoters and enhancers (a phenomenon known as invasion), but had no direct impact on global transcriptional activity. Instead, Myc contributed to the swift up- and down-regulation of several hundred genes, including many known regulators of the aforementioned cellular processes. Myc-activated promoters were enriched for E-box consensus motifs, bound Myc at the highest levels and showed enhanced RNA Polymerase II recruitment, the opposite being true at down-regulated loci. Remarkably, the Myc-dependent signature identified in activated B-cells was also enriched in Myc-driven B-cell lymphomas: hence, besides modulation of new cancer-specific programs, the oncogenic action of Myc may largely rely on sustained deregulation of its normal physiological targets.

2019-06-14 | GSE126339 | GEO

ena-DATASET-DKFZ-IBIOS-16-07-2015-15:45:02:488-51 - samples

Project description:Despite the established role of the transcription factor MYC in cancer, little is known about the impact of a new class of transcriptional regulators, the long non-coding RNAs (lncRNAs), on the way MYC is able to influence cellular transcriptome. To this aim we have intersected RNA-sequencing data from two MYC-inducible cell lines and from a cohort of 91 mature B-cell lymphomas carrying, or not carrying, genetic variants resulting in MYC over-expression. By this approach, we identified 13 lncRNAs differentially expressed in IG-MYC-positive Burkitt lymphoma and regulated in the same direction by MYC in the model cell lines. Among them we focused on a lncRNA that we named MINCR, for MYC-Induced long Non-Coding RNA, showing a strong correlation with MYC expression in MYC-positive lymphomas and also in pancreatic ductal adenocarcinomas. To understand its cellular role we performed RNA interference (RNAi) experiments and found that MINCR knock-down is associated with a reduction in cellular viability, due to an impairment in cell cycle progression. Differential gene expression analysis following RNAi showed a strongly significant enrichment of cell cycle genes among the genes down-regulate following MINCR knock-down. Interestingly these genes are enriched in MYC binding sites in their promoters, suggesting that MINCR acts as a modulator of MYC transcriptional program. Accordingly, following MINCR knock-down, we observed a reduction in the binding of MYC to the promoters of selected cell cycle genes. Finally we provide evidences that down-regulation of AURKA, AURKB and CTD1 may explain the reduction in cellular proliferation observed upon MINCR knock-down. We therefore suggest that MINCR is a newly identified player in the MYC transcriptional network able to control the expression of cell cycle genes.

| EGAD00001001441 | EGA

Mus musculus

Project description:Myc regulates chromatin decompaction and nuclear architecture during B cell activation

| PRJNA324130 | ENA

Integrative analysis of RNA Polymerase II and transcriptional dynamics upon Myc activation [ChIP-seq]

Project description:Over-expression of the Myc transcription factor causes its widespread interaction with regulatory domains in the genome, but leads to the up- and down-regulation of discrete sets of genes. The molecular determinants of these selective transcriptional responses remain elusive. Here, we present an integrated time-course analysis of transcription and mRNA dynamics following Myc activation in proliferating mouse fibroblasts, based on chromatin immunoprecipitation, metabolic labeling of newly synthesized RNA, extensive sequencing and mathematical modeling. Transcriptional activation correlated with the highest increases in Myc binding at promoters. Repression followed a reciprocal scenario, with the lowest gains in Myc binding. Altogether, the relative abundance (henceforth, “share”) of Myc at promoters was the strongest predictor of transcriptional responses in diverse cell types, predominating over Myc’s association with the co-repressor Miz1. Myc activation elicited immediate loading of RNAPII at activated promoters, followed by increases in pause-release5, while repressed promoters showed opposite effects. Gains and losses in RNAPII loading were proportional to the changes in the Myc share, suggesting that repression by Myc may be largely indirect, owing - at least in part - to competition for limiting amounts of RNAPII. Secondary to the changes in RNAPII loading, the dynamics of elongation and pre-mRNA processing were also rapidly altered at Myc regulated genes, leading to the transient accumulation of partially or aberrantly processed mRNAs. Altogether, our results shed light on how over-expressed Myc alters the various phases of the RNAPII cycle and the resulting transcriptional response.

2017-08-23 | GSE98419 | GEO

Integrative analysis of RNA Polymerase II and transcriptional dynamics upon Myc activation

2017-08-23 | GSE98420 | GEO

Integrative analysis of RNA Polymerase II and transcriptional dynamics upon Myc activation [RNA-seq]

2017-08-23 | GSE98418 | GEO

MYC multimers shield stalled replication forks from RNA polymerase

Project description:Oncoproteins of the MYC family drive the development of numerous human tumors. In unperturbed cells, MYC proteins bind to virtually all active promoters and control transcription by RNA Polymerase II (RNAPII). MYC proteins can also coordinate transcription with DNA replication and promote the repair of transcription-associated DNA damage, but how they exert these mechanistically diverse functions is unknown. Here we show that MYC dissociates from many of its binding sites in active promoters and forms multimeric, often sphere-like structures in response to perturbation of transcription elongation, mRNA splicing or inhibition of the proteasome. Multimerization is accompanied by a global change in the MYC interactome towards proteins involved in transcription termination and RNA processing. MYC multimers accumulate on chromatin immediately adjacent to stalled replication forks and surround FANCD2, ATR and BRCA1 proteins, which are located at stalled forks. MYC multimerization is triggered in a HUWE1- and ubiquitylation-dependent manner. At active promoters, MYC multimers block antisense transcription and stabilize FANCD2 association with chromatin. This limits DNA double-strand break formation during S phase, suggesting that multimerization of MYC enables tumor cells to proliferate under stressful conditions.

2022-10-27 | PXD036674 | Pride

Proteome of naive and TCR activated wild-type, Myc-deficient and Slc7a5-deficient T cells

Project description:T cell clonal expansion and differentiation are critically dependent on the transcription factor c-Myc (Myc). Herein we use quantitative mass-spectrometry to reveal how Myc controls antigen receptor driven cell growth and proteome restructuring in CD4+ and CD8+ T cells. Quantitative proteomics was performed on naive wild-type (WT) and 24 hr T cell receptor (TCR) activated Myc WT and Myc-deficient T cells. Analysis of copy numbers per cell of >7000 proteins provides new understanding of the selective role of Myc in controlling the protein machinery that shapes T cell fate. The data identify both Myc dependent and independent metabolic processes in immune activated T cells. We uncover that a primary function of Myc is to induce amino acid transporter expression. Quantitative proteomics of 24 hr TCR activated Slc7a5 WT and Slc7a5-deficient CD4 T cells reveals that loss of a single Myc-controlled amino transporter, Slc7a5, can effectively phenocopy the impact of Myc deletion. This study thus provides a comprehensive map of how Myc selectively shapes T cell phenotypes and reveals that Myc induction of amino acid transport is pivotal for subsequent bioenergetic and biosynthetic programs.

2020-02-25 | PXD016105 | Pride

ena-DATASET-DKFZ-IBIOS-28-08-2015-09:49:06:632-229 - samples

Project description:RNA-sequencing data from teh hT-RPE-MycER cell line after MYC activation and after MINCR knock-down in conditions of MYC ON or OFF

| EGAD00001001598 | EGA

MYC enhancer invasion promotes prognostic cancer type-specific gene programs through an epigenetic switch

Project description:The transcription factor MYC is overexpressed in most cancers, where it drives multiple hallmarks of cancer progression. MYC is known to promote oncogenic transcription by binding to active promoters. In addition, MYC has also been shown to invade distal enhancers when expressed at oncogenic levels, but this enhancer binding has been proposed to have low gene-regulatory potential. Here, we demonstrate that MYC enhancer binding directly promotes cancer type-specific gene programs predictive of poor patient prognosis. MYC induces transcription of enhancer RNA through recruitment of RNAPII, rather than regulating RNAPII pause-release as is the case at promoters. This is mediated by MYC-induced H3K9 demethylation by KDM3A and acetylation by GCN5, leading to enhancer-specific BRD4 recruitment through its bromodomains, which facilitates RNAPII recruitment. Thus, we propose that MYC drives prognostic cancer type-specific gene programs by promoting RNAPII recruitment to enhancers through induction of an epigenetic switch.

2023-11-30 | PXD039586 | Pride

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