Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Transcription factors interfering with dedifferentiation induce direct conversion

ABSTRACT: Although transcription factor(TF)s regulate differentiation-related processes, including dedifferentiation and direct conversion, functional interactions between TFs regulating these processes are not well understood. Here we show that TFs preventing dedifferentiation are able to induce direct conversion. Using a neural lineage cell line and a large number of TFs expressed in it, we found a subset of TFs whose overexpression strongly interfered with dedifferentiation triggered by a procedure to induce induced pluripotent stem cells (iPSC), through a maintenance mechanism of the cell-type-specific transcriptional profile. Strikingly, the maintenance activity of the interfering TF set was strong enough to induce the cell line-specific transcriptional profile when overexpressed in a heterologous cell type. In addition, TFs that interfered with dedifferentiation in hepatic lineage cells involved known TFs with induction activity for hepatic lineage cells. Our results suggest that dedifferentiation suppresses a cell-type-specific transcriptional profile, which is primarily maintained by a small subset of TFs capable of inducing direct conversion. We anticipate that this functional correlation might be applicable in various cell types, which may include cancer cells, and might facilitate identification of TFs with induction activity to understand differentiation and tumorigenesis

ORGANISM(S): Mus musculus

PROVIDER: GSE41252 | GEO | 2013/01/01

SECONDARY ACCESSION(S): PRJNA176339

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

Transcription factors interfering with dedifferentiation induce direct conversion

Project description:Although transcription factor(TF)s regulate differentiation-related processes, including dedifferentiation and direct conversion, functional interactions between TFs regulating these processes are not well understood. Here we show that TFs preventing dedifferentiation are able to induce direct conversion. Using a neural lineage cell line and a large number of TFs expressed in it, we found a subset of TFs whose overexpression strongly interfered with dedifferentiation triggered by a procedure to induce induced pluripotent stem cells (iPSC), through a maintenance mechanism of the cell-type-specific transcriptional profile. Strikingly, the maintenance activity of the interfering TF set was strong enough to induce the cell line-specific transcriptional profile when overexpressed in a heterologous cell type. In addition, TFs that interfered with dedifferentiation in hepatic lineage cells involved known TFs with induction activity for hepatic lineage cells. Our results suggest that dedifferentiation suppresses a cell-type-specific transcriptional profile, which is primarily maintained by a small subset of TFs capable of inducing direct conversion. We anticipate that this functional correlation might be applicable in various cell types, which may include cancer cells, and might facilitate identification of TFs with induction activity to understand differentiation and tumorigenesis Examination of binding of 3 transcription factors and histone modifications in Neural progenitor like cells.

2013-01-01 | E-GEOD-41252 | biostudies-arrayexpress

Direct Cell Conversion of Human Fibroblasts to Monocytic phagocytes by Forced Expression of Monocytic Regulatory Network Elements

Project description:Direct cell conversion is now expected to apply to therapeutic purposes. Although that has been succeeded in several cell types, the mechanism or general way to identify the key transcription factors are still unclear. In addition, most of the cases are not completely identical with the target cells. In previous work, we suggested that cell status is maintained by a homeostatic network of limited number of TFs and no single transcription factor is both necessary and sufficient to drive the differentiation process. Here, identifying the key TFs of human monocyte by combining comparative gene expression analysis and literature based text-mining, we mimicked the monocytic regulatory network in human dermal fibroblasts to induce direct cell conversion of the fibroblasts to monocytes. We suggested that although it is a primary master TF, single TF is not sufficient to induce the direct cell conversion and orchestrated TF regulation is necessary to complete the cell conversion. Total RNA obtained from human dermal fibroblasts(FIB), human CD14+ monocytes(MON), mock lentivirus vector transduced fibroblasts (FIB-mock), SPI1 transduced fibroblasts (FIB-SPI1), and SPI1, CEBPA, MNDA, IRF8 transduced fibroblasts(FIB-4Fs). The fold change was computed compared with fibroblasts or FIB-mock.

2011-02-15 | E-GEOD-27304 | biostudies-arrayexpress

Direct Cell Conversion of Human Fibroblasts to Monocytic phagocytes by Forced Expression of Monocytic Regulatory Network Elements

2011-02-15 | GSE27304 | GEO

Mus musculus

Project description:Transcription factors interfering with dedifferentiation induce direct conversion

| PRJNA176339 | ENA

Single-cell epigenome analysis identifies transcriptional events controlling direct conversion of human fibroblasts to pancreatic ductal-like cells [FI-snMultiome-seq]

Project description:Cell fate can be reprogrammed by ectopic expression of lineage-specific transcription factors (TF). However, the exact cell state transitions during transdifferentiation are still poorly understood. Here, we have generated pancreatic exocrine cells of ductal epithelial identity from human fibroblasts using a set of six TFs. We mapped the molecular determinants of lineage dynamics using a factor-indexing method based on single-nuclei multiome sequencing (FI-snMultiome-seq) that enables dissecting the role of each individual TF and pool of TFs in cell fate conversion. We show that transition from mesenchymal fibroblast identity to epithelial pancreatic exocrine fate involves two deterministic steps: an endodermal progenitor state defined by activation of HHEX with FOXA2 and SOX17, and a temporal GATA4 activation essential for maintenance of pancreatic cell fate program. Collectively, our data suggest that transdifferentiation – although being considered a direct cell fate conversion method – occurs through transient progenitor states orchestrated by stepwise activation of distinct TFs

2023-08-14 | GSE216858 | GEO

Single-cell epigenome analysis identifies transcriptional events controlling direct conversion of human fibroblasts to pancreatic ductal-like cells [ChIP-seq]

2023-08-14 | GSE216857 | GEO

Single-cell epigenome analysis identifies transcriptional events controlling direct conversion of human fibroblasts to pancreatic ductal-like cells [ATAC-seq]

2023-08-14 | GSE216855 | GEO

Single-cell epigenome analysis identifies transcriptional events controlling direct conversion of human fibroblasts to pancreatic ductal-like cells [RNA-seq]

2023-08-14 | GSE216854 | GEO

Rapid chromatin switch in the direct reprogramming of fibroblasts to neurons

Project description: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.

2017-09-25 | GSE101397 | GEO

Cross-lineage Potential of Ascl1 Uncovered by Comparing Diverse Reprogramming Regulatomes [MA Timepoint RNA-seq]

Project description:Direct reprogramming has revolutionized the fields of stem cell biology and regenerative medicine. Direct reprogramming makes it possible to interconvert somatic cell fates without intermediary pluripotency. Although studies have identified different transcription factor (TF) cocktails that can reprogram fibroblasts into different cell types, the common mechanisms governing how reprogramming cells undergo transcriptome and epigenome remodeling (i.e. regulatome remodeling) have not been investigated. Here, by characterizing early changes in the regulatome of three different types of direct reprogramming – induced neurons, induced hepatocytes, and induce cardiomyocytes – we identified two non-cocktail TFs, Tead4 and Atf7, that co-operate with reprogramming TFs to regulate target cell-type specific gene expression. Additionally, by identifying shared pro-cardiac features of iN and iCM reprogramming, we demonstrate Ascl1’s cross-lineage potential to induce highly efficient iCM reprogramming in a two-factor cocktail with Mef2c (A+M). Single-cell multi-omics showed that A+M reprogramming terminates in a more mature iCM phenotype than MGT. Finally, through ChIP-seq and RNA-seq, we find that Mef2c drives the shift in Ascl1 binding away from neuronal genes towards cardiac gene, guiding their co-operative epigenetic and transcription activities. These findings demonstrate the existence of common regulators of different direct reprogramming process and argue against the premise that TFs are lineage specific – the basic premise used to develop direct reprogramming approaches.

2022-09-15 | GSE210685 | GEO

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