Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Phased gene expression and chromatin accessibility during progressive EMT and MET linked to dynamic CTCF engagement (RNA-Seq)

ABSTRACT: Phased gene expression and chromatin accessibility during progressive EMT and MET linked to dynamic CTCF engagement (RNA-Seq)

PROVIDER: PRJNA608511 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Similar Datasets

Phased gene expression and chromatin accessibility during progressive EMT and MET linked to dynamic CTCF engagement

Project description:Phased gene expression and chromatin accessibility during progressive EMT and MET linked to dynamic CTCF engagement

| PRJNA608502 | ENA

Phased gene expression and chromatin accessibility during progressive EMT and MET linked to dynamic CTCF engagement (ATAC-Seq)

Project description:Phased gene expression and chromatin accessibility during progressive EMT and MET linked to dynamic CTCF engagement (ATAC-Seq)

| PRJNA608512 | ENA

Phased gene expression and chromatin accessibility during progressive EMT and MET linked to dynamic CTCF engagement (ATAC-Seq)

Project description:We report the chromatin accessibility alterations and gene expression changes in TGFB-induced and -withdrawn reversible EMT in MCF10A mammary epithelial cells

2021-12-01 | GSE145849 | GEO

Phased gene expression and chromatin accessibility during progressive EMT and MET linked to dynamic CTCF engagement (RNA-Seq)

Project description:We report the chromatin accessibility alterations and gene expression changes in TGFB-induced and -withdrawn reversible EMT in MCF10A mammary epithelial cells

2020-12-01 | GSE145850 | GEO

Phased gene expression and chromatin accessibility during progressive EMT and MET linked to dynamic CTCF engagement

Project description:This SuperSeries is composed of the SubSeries listed below.

2020-12-01 | GSE145851 | GEO

Gene expression in epithelial, EMT (epithelial-mesenchymal transition) and MET (mesenchymal-epithelial transition) cells

2013-07-26 | GSE48204 | GEO

Gene expression in epithelial, EMT (epithelial-mesenchymal transition) and MET (mesenchymal-epithelial transition) cells

Project description:NMuMG is an epithelial cell line that can be induced into EMT by TGF-β treatment or MET by TGF-β withdrawl. During EMT, several marker genes were downregulated/upregulated, which is consistent with its mesenchymal phenotype. Transcription factors that are regulated during EMT and its reverse process MET are candidate genes for the regulations of the EMT marker genes. NMuMG cells treated with vehicle, TGF-β for 11 days, or 11days of TGF-β treatment followed by TGF-β withdrawl for another 13 days. RNA from these 3 conditions of NMuMG were extracted and subject to microarray analysis

2013-07-26 | E-GEOD-48204 | biostudies-arrayexpress

Single-cell resolution of MET- and EMT-like programs in osteoblasts during zebrafish fin regeneration

Project description:We performed single-cell RNA-sequencing (scRNA-seq) to elucidate osteoblastic transcriptional programs during zebrafish caudal fin regeneration. We show that osteoprogenitors are enriched with components associated with epithelial-to-mesenchymal transition (EMT) and its reverse, mesenchymal-to-epithelial transition (MET). Trajectory analyses indicate osteoblastic cells solely expressed EMT components, or transiently expressed components for MET before EMT. We provide evidence that the EMT markers cdh11 and twist2 are co-expressed in dedifferentiating cells at the amputation stump, and in differentiating osteoblastic cells in the regenerate, the latter of which are enriched in EMT signatures. We also show that esrp1, a regulator of alternative splicing in epithelial cells that is associated with MET, is expressed in a subset of osteoprogenitors during outgrowth. This study provides a single cell resource for the study of osteoblastic cells during zebrafish fin regeneration, and supports the contribution of MET- and EMT-associated components to this process.

2021-12-27 | GSE192498 | GEO

Identification of stable markers of the EMT:MET process

Project description:Epithelial-mesenchymal transition (EMT) and mesenchymal-epithelial transition (MET) facilitate breast cancer (BC) metastasis, however stable molecular changes that result as a consequence of these processes remain poorly defined. Therefore, we sought to identify molecular markers that could distinguish tumor cells that had completed the EMT:MET cycle in the hopes of identifying and targeting unique aspects of metastatic tumor outgrowth.Therefore, normal murine mammary gland (NMumG) cells transformed by overexpression of EGFR (NME) cells were cultured in the presence of TGF-beta1 (5 ng/ml) for 4 weeks, at which point TGF-beta1 supplementation was discontinued and the cells were allowed to recover for an additional 4 weeks (Post-TGF-Rec). Total RNA was prepared from unstimulated cells (Pre-TGF) of similar passage and compared by microarray analysis. The two groups were analyzed in triplicate, three Pre-TGF samples and three Post-TGF-Rec samples.

2014-01-30 | E-GEOD-54491 | biostudies-arrayexpress

Cellular and extracellular vesicle RNA sequence for E-cadherin-RFP EMT reporter system expressing mouse breast cancer cell line Py2T during EMT/MET

Project description:Epithelial-mesenchymal transition (EMT) is a process by which epithelial cells lose cell-cell contact and gain cancer malignancy such as invasion, stemness, chemoresistance and metastasis. Reverse precess, mesenchymal-epithelial transition (MET) is also important for colonization. Extracellular vesicles (EVs) secreted from cancer cells are also important for cancer malignancy. To analyze RNAs from cells and EVs during EMT and MET, RNA sequencing was performed using E-cadherin-RFP/Py2T reporter system.

2020-12-31 | E-MTAB-9750 | 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