Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Rapid chromatin switch in the direct reprogramming of fibroblasts to neurons

ABSTRACT: How transcription factors (TFs) reprogram one cell lineage to another remains unclear. Here, we define chromatin accessibility changes induced by the proneural TF Ascl1 throughout conversion of fibroblasts into induced neuronal (iN) cells. Thousands of genomic loci are affected as early as 12 hours after Ascl1 induction. Surprisingly, over 80% of the accessibility changes occur between days 2 and 5 of the 3-week reprogramming process. This chromatin switch coincides with robust activation of endogenous neuronal TFs and nucleosome phasing of neuronal promoters and enhancers. Subsequent morphological and functional maturation of iN cells are accomplished with relatively little chromatin reconfiguration. Integrating chromatin accessibility and transcriptome changes, we built a network model of dynamic TF regulation during iN cell reprogramming, and identified Zfp238, Sox8 and Dlx3 as key TFs downstream of Ascl1. These results reveal a singular, coordinated epigenomic switch during direct reprogramming, in contrast to step-wise cell fate transitions in development.

ORGANISM(S): Mus musculus

PROVIDER: GSE101397 | GEO | 2017/09/25

SECONDARY ACCESSION(S): PRJNA394116

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

Molecular basis of neuronal subtype bias introduced by proneural factors Ascl1 and Neurog2 (RNA-seq)

Project description:Basic helix-loop-helix (bHLH) proneural transcription factors (TFs) Ascl1 and Neurog2 are integral to the development of the nervous system. Here, we investigated the molecular mechanisms by which Ascl1 and Neurog2 control the acquisition of generic neuronal fate and impose neuronal subtype identity. Using direct neuronal programming of embryonic stem cells, we found that Ascl1 and Neurog2 regulate distinct targets by binding to largely different sets of sites. Their divergent binding pattern is not determined by the previous chromatin state but distinguished by specific E-box enrichments which reflect the DNA sequence preference of the bHLH domain. The divergent Ascl1 and Neurog2 binding patterns result in distinct chromatin accessibility and enhancer activity landscapes that shape the binding and activity of downstream TFs during neuronal specification. Our findings suggest that proneural factors contribute to neuronal diversity by differentially altering the chromatin landscapes that shape the binding of neuronally expressed TFs.

2019-02-27 | GSE114173 | GEO

Molecular basis of neuronal subtype bias introduced by proneural factors Ascl1 and Neurog2 (ChIP-seq)

2019-02-27 | GSE114172 | GEO

Molecular basis of neuronal subtype bias introduced by proneural factors Ascl1 and Neurog2 (ATAC-seq)

2019-02-27 | GSE114171 | GEO

Molecular basis of neuronal subtype bias introduced by proneural factors Ascl1 and Neurog2 (single-cell RNA-seq)

2019-02-27 | GSE125620 | GEO

Tip60-mediated H2A.Z acetylation is required for neuronal fate specification and bivalent gene activation [ATAC-Seq]

Project description:Examination of the effects of Tip60/Kat5 depletion on chromatin accessibility dynamics during Ascl1-mediated direct reprogramming of mouse embryonic fibroblasts (MEFs) into induced neuronal cells.

2022-11-22 | GSE181964 | GEO

Foxa2 and Pet1 direct and indirect synergy drive serotonergic neuronal differentiation [ChIP-Seq]

Project description:Neuronal programming by forced expression of transcription factors (TFs) holds promise for clinical applications of regenerative medicine. However, the mechanisms by which TFs coordinate their activities on the genome and control distinct neuronal fates remain obscure. Using direct neuronal programming of embryonic stem cells, we dissected the contribution of a series of TFs to specific neuronal regulatory programs. We deconstructed the Ascl1-Lmx1b-Foxa2-Pet1 TF combination that has been shown to generate serotonergic neurons and found that stepwise addition of TFs to Ascl1 canalizes the neuronal fate into a diffuse monoaminergic fate. The addition of pioneer factor Foxa2 represses Phox2b to induce serotonergic fate, similar to in vivo regulatory networks. Foxa2 and Pet1 appear to act synergistically to upregulate serotonergic fate. Foxa2 and Pet1 co-bind to a small fraction of genomic regions but mostly bind to different regulatory sites. In contrast to the combinatorial binding activities of other programming TFs, Pet1 does not strictly follow the Foxa2 pioneer. These findings highlight the challenges in formulating generalizable rules for describing the behavior of TF combinations that program distinct neuronal subtypes.

2022-06-09 | GSE199314 | GEO

Foxa2 and Pet1 direct and indirect synergy drive serotonergic neuronal differentiation [ATAC-Seq]

2022-06-09 | GSE199313 | GEO

Transcription factor binding in human cells occurs in dense clusters formed around cohesin anchor sites [Validation Set]

Project description:During cell division, transcription factors (TFs) are removed from chromatin twice, during DNA synthesis, and during condensation of chromosomes. How TFs can efficiently find their sites following these stages has been unclear. Here, we have analyzed the binding pattern of expressed TFs in human colorectal cancer cells. We find that binding of TFs is highly clustered, and that the clusters are enriched in binding motifs for several major TF classes. Strikingly, almost all clusters are formed around cohesin, and loss of cohesin decreases both DNA accessibility and binding of TFs to clusters. We show that cohesin remains bound in S phase, holding the nascent sister chromatids together at the TF cluster sites. Furthermore, cohesin remains bound to the cluster sites when TFs are evicted in early M-phase. These results suggest that cohesin binding functions as a cellular memory that promotes re- stablishment of TF clusters after DNA replication and chromatin condensation. Examination of TF binding by ChIP-seq in a CRC cell-line.

2013-09-25 | E-GEOD-51142 | biostudies-arrayexpress

Transcription factor binding in human cells occurs in dense clusters formed around cohesin anchor sites

2013-08-15 | E-GEOD-49402 | biostudies-arrayexpress

Expression data from REST knock-out versus REST wild type cells during in vitro neurogenesis

Project description:While changes in chromatin are integral to transcriptional reprogramming during cellular differentiation, it is currently unclear how chromatin modifications are targeted to specific loci. We developed a computational model on the premise that transcription factors (TFs) direct dynamic chromatin changes during cell fate decisions. When applied to a neurogenesis paradigm, this approach predicted the TF REST as a determinant of gain of Polycomb-mediated H3K27me3 in neuronal progenitor cells. We prove this prediction experimentally by showing that the absence of REST causes loss of H3K27me3 at target promoters in trans at the same cellular state. Moreover, promoter fragments containing a REST binding site are sufficient to recruit H3K27me3 in cis, while deletion of their REST site results in loss of H3K27me3. These findings illustrate that computational modeling can systematically identify TFs that regulate chromatin dynamics genome-wide. Local determination of Polycomb activity by REST exemplifies such TF based regulation of chromatin. Expression profiling of REST knock-out (RESTko) versus REST wildtype (RESTwt) or REST heterozygous knock-out (RESThet) cells at three stages of in vitro neuronal differentiation. RESTko and RESTwt/RESThet embryonic stem (ES) cells were differentiated to terminal neurons (TN) via a defined neuronal progenitor (NP) state. Three biological replicates (suffixes a to c).

2012-09-04 | E-GEOD-27114 | 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