Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Genome-wide DNA methylation change due to H19 knockdown and TET3 knockdown in UtLM

ABSTRACT: We used Methyl-MiniSeq platform from Zymo Research company to identify genome-wide methylation changes affected by H19 knockdown and TET3 knockdown in human UtLM. Following H19 and TET3 knockdown, we observed extensive genome-wide methylation pattern changes relative to siCon cells, with some genes showing increased methylation, others showing decreased methylation, and a third group with no significant change.

ORGANISM(S): Homo sapiens

PROVIDER: GSE117190 | GEO | 2021/07/16

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Genome-wide DNA methylation change due to lncRNA H19 knockdown in myotubes

2015-11-09 | GSE73013 | GEO

Genome-wide DNA methylation change due to lncRNA H19 knockdown in myotubes

Project description:We used Methyl-MiniSeq platform from Zymo Research company to identify genome-wide methylation changes affected by lncRNA H19 knockdown in myotubes. Following H19 knockdown, we observed extensive genome-wide mthylation pattern changes relative to siCon cells, with some genes showing incresed methylation, others showing decreased methylation, and a third group with no significant change. Myotubes differentiated from mouse C3H myoblasts were transfected with either control siRNA or siH19, 48h later, cellular genomic DNA was extracted and subjected to genome-scale DNA methylation mapping using the platform of an improved version of Reduced Representation Bisulfite Sequencing (RRBS).

2015-11-09 | E-GEOD-73013 | biostudies-arrayexpress

Genome-wide DNA methylation change due to H19 knockdown and TET3 knockdown in UtLM

Project description:Genome-wide DNA methylation change due to H19 knockdown and TET3 knockdown in UtLM

| PRJNA481374 | ENA

Expression data from HCT116 cells following H19 knockdown

Project description:Knockdown of H19 leads to cell cycle arrest, reduced cell proliferation, and reduced cell migration in HCT116 cells. We used microarrays to detail the global programme of gene expression following H19 knockdown in HCT116 cells

2016-09-29 | GSE87430 | GEO

Expression data from DLD1 cells following H19 knockdown

Project description:Knockdown of H19 leads to cell cycle arrest, reduced cell proliferation, and reduced cell migration in DLD1 cells. We used microarrays to detail the global programme of gene expression following H19 knockdown in DLD1 cells

2016-09-29 | GSE87427 | GEO

Effect of H19 Knockdown by siRNA on gene expression in C2C12 cells

Project description:We used microarrays to characterize the global changes in gene expression in C2C12 cells due to siRNA knockdown of long non-coding RNA H19 Control siRNA or siRNA specific for mouse H19 were transfected into day1 differentiating C2C12 myoblasts in triplicates. 40 H later total RNAs were isolated and subjected with microarray analysis.

2013-09-30 | E-GEOD-49535 | biostudies-arrayexpress

Effect of H19 Knockdown by siRNA on gene expression in C2C12 cells

Project description:We used microarrays to characterize the global changes in gene expression in C2C12 cells due to siRNA knockdown of long non-coding RNA H19

2013-09-30 | GSE49535 | GEO

RNA-seq analysis reveals profound changes in transcript profiles between siCon- and siH19-transfected uterine smooth muscle cells (USMC)

Project description:We used high throughput sequencing to analyze the gene expression profiling of human uterine smooth muscle cells (USMC). By comparing the gene expression profiling of USMC with or without H19 knockdown, 215 genes were found at least 1.5-fold up-regulated in siH19 relative to siCon cells, meanwhile 228 genes were found at least 1.5-fold down-regulated in siH19 over siCon cells.

2019-10-01 | GSE110557 | GEO

RNA-seq analysis reveals profound changes in transcript profiles between siCon- and siH19-transfected myotubes

Project description:We used high throughput sequencing to analyze the transcriptional profiling of myotubes. By comparing the transcriptional profiling of myotubes with or without H19 knockdown,1131 genes or transcripts were found at least 1.5-fold up-regulated in siH19 relative to siCon cells, meanwhile 508 genes or transcripts were found at least 1.5-fold down-regulated in siH19 over siCon cells.

2015-11-09 | GSE72941 | GEO

RNA-seq analysis reveals profound changes in transcript profiles between siCon and siH19 transfected aortic smooth muscle cells (AoSMC)

Project description:We used high throughput sequencing to analyze the gene expression profiling of human aortic smooth muscle cells (AoSMC). By comparing the gene expression profiling of AoSMC with or without H19 knockdown, 2940 genes were found at least 1.5-fold up-regulated in siH19 relative to siCon cells, meanwhile 2790 genes were found at least 1.5-fold down-regulated in siH19 over siCon cells.

2021-02-13 | GSE110556 | GEO

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