Browse
Submit Data
Databases
API
Help

Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

18 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Molecular architecture of transcription factor hotspots in early adipogenesis

ABSTRACT: Here, we have used digital genomic footprinting to precisely define protein localization for several adipogenic transcription factors at a genome-wide level. In combination with ChIP-seq data, these analyses reveal novel molecular insight into the organization of transcription factors at hotpot regions, which provides a new framework for understanding transcription factor cooperativity on chromatin. Digital genomic footprinting and gene expression in 3T3-L1 pre-adipocytes by high throughput sequencing.

ORGANISM(S): Mus musculus

SUBMITTER: Susanne Mandrup

PROVIDER: E-GEOD-57415 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Json Xml

Publications

Molecular architecture of transcription factor hotspots in early adipogenesis.

Siersbæk Rasmus R Baek Songjoon S Rabiee Atefeh A Nielsen Ronni R Traynor Sofie S Clark Nicholas N Sandelin Albin A Jensen Ole N ON Sung Myong-Hee MH Hager Gordon L GL Mandrup Susanne S

Cell reports 20140522 5

Transcription factors have recently been shown to colocalize in hotspot regions of the genome, which are further clustered into super-enhancers. However, the detailed molecular organization of transcription factors at hotspot regions is poorly defined. Here, we have used digital genomic footprinting to precisely define factor localization at a genome-wide level during the early phase of 3T3-L1 adipocyte differentiation, which allows us to obtain detailed molecular insight into how transcription ...[more]

PMID: 24857666

Similar Datasets

Extensive Chromatin Remodeling and Establishment of Transcription Factor 'Hotspots' during Early Adipogenesis

Project description:Adipogenesis is tightly controlled by a complex network of transcription factors acting at different stages of differentiation. Peroxisome proliferator-activated receptor gamma (PPAR gamma) and CCAAT/enhancer binding protein (C/EBP) family members are key regulators of this process. We have employed DNase I hypersensitive site analysis to investigate the genome-wide changes in chromatin structure that accompany the binding of adipogenic transcription factors. These analyses revealed a dramatic and dynamic modulation of the chromatin landscape during the first hours of adipocyte differentiation that coincides with cooperative binding of multiple early transcription factors (including glucocorticoid receptor, retinoid X receptor, Stat5a, C/EBPbeta and -delta) to transcription factor 'hotspots'. Our results demonstrate that C/EBPbeta marks a large number of these transcription factor 'hotspots' prior to induction of differentiation and chromatin remodeling and is required for their establishment. Furthermore, a subset of early remodeled C/EBP binding sites persists throughout differentiation and is later occupied by PPAR gamma , indicating that early C/EBP family members, in addition to their well established role in activation of PPAR gamma transcription, may act as pioneering factors for PPAR gamma binding. DNase I hypersensitive chromatin regions and transcription factor binding sites were identified at various time points of 3T3-L1 differentiation using DHS-seq and ChIP-seq, respectively.

2011-03-22 | E-GEOD-27826 | biostudies-arrayexpress

Acute Genome-Wide Effects of Rosiglitazone on PPARγ Transcriptional Networks in Adipocytes

Project description:Here we report, for the first time, the acute effects of the synthetic PPARγ agonist rosiglitazone on the transcriptional network of PPARγ in adipocytes. Treatment with Rosiglitazone for 1 hour leads to acute transcriptional activation as well as repression of a number of genes as determined by genome-wide RNA polymerase II occupancy. Unlike what has been shown for many other nuclear receptors, agonist treatment does not lead to major changes in the occurrence of PPARγ binding sites. However, rosiglitazone promotes PPARγ occupancy at many preexisting sites, and this is paralleled by increased occupancy of the mediator subunit MED1. The increase in PPARγ and MED1 binding is correlated with an increase in transcription of nearby genes indicating that rosiglitazone, in addition to activating the receptor, also promotes its association with DNA, and that this is causally linked to recruitment of mediator and activation of genes. Notably, both Rosiglitazone-activated and -repressed genes are induced during adipogenesis. However, Rosiglitazone-activated genes are markedly more associated with PPARγ than repressed genes and are highly dependent on PPARγ for expression in adipocytes. By contrast, repressed genes are associated with the other key adipocyte transcription factor CCAAT-Enhancer binding protein (C/EBPα), and their expression is more dependent on C/EBPα. This suggests that the relative occupancies of PPARγ and C/EBPα are critical for whether genes will be induced or repressed by PPARγ agonist. Examination of binding of PPARγ, C/EBPα, RNAPII, CBP and MED1 in mature 3T3-L1 adipocytes treated with 1 μM Rosiglitazone and/or 0.1% DMSO for 1 hour.

2013-08-01 | E-GEOD-49423 | biostudies-arrayexpress

Transcription factor cooperativity in early adipogenic hotspots and super-enhancers

Project description:Here we have used a combination of advanced proteomics and genomics approaches to investigate the extent and mechanisms of transcription factor cross-talk at genomic hotspots. We identify ~12,000 transcription factor hotspots in the early phase of adipogenesis, and we find evidence of both simultaneous and sequential binding of transcription factors at these regions. We demonstrate for the first time that hotspots are highly enriched in large super-enhancer regions and that these drive the early adipogenic reprogramming of gene expression. Our results indicate that cooperativity between transcription factors at the level of hotspots as well as super-enhancers is very important for enhancer activity and transcriptional reprogramming. Thus, hotspots and super-enhancers constitute important regulatory hubs integrating external stimuli on chromatin. Genome-wide profiling of transcription factor and co-factor binding, epigenomic marks, and gene expression in 3T3-L1 pre-adipocytes.

2014-04-17 | E-GEOD-56872 | biostudies-arrayexpress

Time-resolved adipocyte FGF21 phosphoproteome

Project description:To elucidate the signalling network responsible for mediating the effects of FGF21, we quantified the dynamic phosphoproteome of adipocytes following acute exposure to this hormone. A major FGF21-regulated signalling node was mTORC1/S6K. In contrast to insulin, we find that FGF21 activates mTORC1 via MAPK signalling rather than through the canonical PI3K/AKT pathway. This study provides a systems view of FGF21 signalling and reveals a new role for mTORC1 in maintaining nutrient homeostasis.

2016-08-15 | PXD003631 | Pride

RNAi knockdown of Tip60 and Usp7 in mouse 3T3-L1 adipocytes

Project description:Knockdown of Tip60 or Usp7 in differentiated 3T3-L1 adipocytes

2013-08-28 | E-TABM-1145 | biostudies-arrayexpress

Characterising the transcriptional profile of murine 3T3-L1 adipocytes with altered expression of IRF3.

Project description:The chronic inflammatory state that accompanies obesity is a major contributor to insulin resistance and other metabolic dysfunction features. Despite recent advances in our understanding of the cellular and secreted factors that promote the inflammatory milieu of obesity, we have much less insight into the transcriptional pathways that drive these processes. While most attention has focused on the canonical inflammatory transcription factor NF-KB, other potentially important factors exist, including members of the interferon regultory factor (IRF) family. Here we show that IRF3 expression is upregulated in the adipocytes of obese mice and humans. TLR3/TLR4 activation induces insulin resistance in adipocytes, which can be prevented by IRF3 knockdown. Furthermore, Irf3KO mice display improved insulin sensitivity, associated with reduced intra-adipose and systemic inflammation in the high-fat fed state, enhanced browning of subcutaneous fat, and increased adipose expression of Glut4. Taken together, our data indicates that IRF3 is a major transcriptional regulator of adipose inflammation to maintain systemic glucose and energy homeostasis. Transcriptional profiling of murine 3T3-L1 adipocytes with altered expression of IRF3. Overexpression or knockdown of IRF3 was achieved by lentivirus transduction for 6 days. 3T3-L1 adipocytes with IRF3 knockdown were further treated in the absence or presence of LPS for 6 days. Samples consist of triplicate replica with appropriate control.

2016-05-31 | E-GEOD-81193 | biostudies-arrayexpress

3T3-L1 adipocyte protein turnover

Project description:Insulin is a potent regulator of protein metabolism. Here we describe a time-resolved map of insulin-regulated protein turnover in 3T3-L1 adipocytes using metabolic pulse-chase labelling and high-resolution mass spectrometry.

2016-10-07 | PXD003696 | Pride

miRNA profiles of adipocyte-derived microvesicles (ADMs)

Project description:miRNA profiles of adipocyte-derived microvesicles (ADMs) on the Day 2-4 and Day 8-10 were compared. ADMs were prepared from the 48h-conditioned medium of 3T3-L1 adipocytes (Day 2-4 and Day 8-10) followed by RNA isolation.

2010-07-06 | E-GEOD-17977 | biostudies-arrayexpress

14-3-3ζ controls adipocyte progenitor cell cycle and differentiation via Gli3-dependent p27Kip expression

Project description:14-3-3 proteins facilitate cytoplasmic-nuclear shuttling of transcription factors.Adipocyte differentiation requires the function of critical transcription factors to drive the development of a mature adipocyte. The aim of the study was to investigate if 14-3-3ζ is required for the adipogenic transcriptional program. Examination of the transcriptome in siCon- and si14-3-3ζ-transfected 3T3-L1 cells undergoing differentiation at t=0, 24, and 48 hours.

2015-07-23 | E-GEOD-60745 | biostudies-arrayexpress

Antidiabetic Rosiglitazone Remodels the Adipocyte Transcriptome by Redistributing Transcription to PPARg-Driven Enhancers [Affymetrix]

Project description:Rosiglitazone (rosi) is a powerful insulin sensitizer, but serious toxicities have curtailed its widespread clinical use. Rosi functions as a high-affinity ligand for PPARg, the adipocyte-predominant nuclear receptor (NR). The classic model, involving binding of ligand to the NR on DNA, explains positive regulation of gene expression, but ligand-dependent repression is not well understood. We have now addressed this issue by studying the direct effects of rosiglitazone on gene transcription, using global run-on sequencing (GRO-seq). Rosi-induced changes in gene body transcription were pronounced after 10 minutes and correlated with steady-state mRNA levels as well as with transcription at nearby enhancers (eRNAs). Upregulated eRNAs occurred almost exclusively at PPARg binding sites, to which rosi treatment recruited the coactivator MED1. By contrast, transcriptional repression by rosi involved a loss of MED1 from eRNA sites devoid of PPARg and enriched for other TFs including AP-1 factors and C/EBPs. Thus, rosi activates and represses transcription by fundamentally different mechanisms that could inform the future development of antidiabetic drugs. Mature 3T3-L1 were treated with rosi or DMSO. Steady-state mRNA levels were monitored at various time points after the treatment between 0 minutes and 48 hours using Affymetrix Mouse Gene 1.1 ST Array.

2014-05-02 | E-GEOD-56688 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

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