Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Transcriptomes of H1650 cells with and without SETD2 depletion

ABSTRACT: RNA sequencing of H1650 cells with and without SETD2 depletion to identify SETD2-regulated genes

ORGANISM(S): Homo sapiens

PROVIDER: GSE150809 | GEO | 2020/05/19

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Transcriptomes of H1650 cells with and without SETD2 depletion

Project description:Transcriptomes of H1650 cells with and without SETD2 depletion

| PRJNA633667 | ENA

Transcriptomes of AGS cells with and without FTO depletion

Project description:RNA sequencing of AGS cells with and without FTO depletion to identify FTO-regulated genes

2021-06-23 | GSE178697 | GEO

RNA stability profiling in SETD2 and METTL14 knockdown HepG2 cells

Project description:To evaluate the effect of SETD2 and METTL14 on mRNA stability, we conducted RNA-seq in SETD2 or METTL14 knockdown HepG2 cells as well as control cells with or without actinomycin D treatment. Our RNA stability profiling revealed that depletion of SETD2 and METTL14 resulted in global reduction of RNA stability, and the changes were correlated between SETD2 and METTL14 knockdown cells.

2019-02-21 | GSE121949 | GEO

Quantitative Analysis of Wild Type(wt) and Setd2 knockout(ko) mESCs Transcriptomes [RNA-Seq]

Project description:Purpose: This study aimed at exploring the deregulated genes in setd2 knockout mESCs compared with wt, more particularly to find the mechanism controlled by setd2,which was required for endoderm differentiation. Methods: Setd2 wt and ko mESCs were generated by deep sequencing, using Illumina GAIIx. Using Avadis NGS (version:1.3) software to analyze the sequence reads that passed quality filter to acquire the expression level of all genes. qRT–PCR validation was performed usingSYBR Green assays. Results: Using an optimized data analysis workflow, we mapped about 80 million sequence reads per sample to the mouse genome (build mm9) and identified 17,827 transcripts in the sted2 wt and ko mESCs. About 2,516 genes were deregulated in setd2 ko mESCs, more than 10 genes were validated using qRT-PCR. Conclusions: Through RNA-seq,we noticed that a subset of genes that related to MAPK signaling pathways were down-regulated in ko mESCs. This provided a bridge to connect setd2 and mESCs endoderm differentiation. One wt and one ko mESCs were generated by deep sequencing, using Illumina GAIIx.

2014-10-14 | E-GEOD-54932 | biostudies-arrayexpress

Profiling of N6-methyladenosine in mouse embryonic stem cells: Setd2 knockdown and control cells

Project description:Setd2 is the specific methyltransferase of H3K36me3. To understand the global effect of H3K36me3 on m6A modification, we used mouse embryonic stem cells (mESCs) model with doxycycline (Dox)-induced Setd2 knockdown, and performed m6A-IP followed by sequencing in mESCs with or without Dox treatment. We found that depletion of H3K36me3 by Setd2 silencing globally reduced m6A in mouse transcriptome.

2019-02-21 | GSE110322 | GEO

Transcriptomes of AGS cells with and without FTO depletion

Project description:Transcriptomes of AGS cells with and without FTO depletion

| PRJNA740030 | ENA

Deficiency of histone methyltransferase SETD2 in liver leads to abnormal lipid metabolism and hepatocarcinoma [ChIP-Seq]

Project description:H3K36me3 catalyzed by histone methyltransferase SETD2 is one of the most conserved epigenetic marks from yeast to mammals. SETD2 is frequently mutated in multiple cancers and acts as a tumor suppressor. Here, utilizing a liver-specific deletion of Setd2 mice model, we found that Setd2 depletion is sufficient to trigger hepatocarcinoma (HCC) spontaneously. Meanwhile, in a DEN-induced HCC model, Setd2 depletion significantly promoted tumor number and size. The mechanistic study showed that Setd2 suppresses HCC not only through modulating DNA damage response, but also regulating lipid metabolism in liver. Setd2 deficiency down-regulated the expression of cholesterol efflux genes and caused lipid accumulation. ChIP-Seq analysis further revealed that Setd2 deletion induced AP-1 activation in liver, which was probably trigged by accumulated cholesterol. AP-1 is a well-known oncogene in HCC and inhibits p53 in Setd2-deficient cells. Taken together, we found the role of an important epigenetic gene in regulating cholesterol homeostasis and HCC, and revealed the underlying mechanisms.

2021-09-01 | GSE136743 | GEO

Deficiency of histone methyltransferase SETD2 in liver leads to abnormal lipid metabolism and hepatocarcinoma [RNA-Seq]

2021-09-01 | GSE136742 | GEO

Quantitative Analysis of Wild Type(wt) and Setd2 knockout(ko) mESCs Transcriptomes [RNA-Seq]

2014-10-14 | GSE54932 | GEO

Active ribosome profiling in SETD2 or METTL14 knockdown HepG2 cells

Project description:SETD2 is the specific methyltransferase of H3K36me3, while METTL14 is a critical subunit of the m6A methyltransferase complex. To evaluate the effect of SETD2 and METTL14 on translation, we conducted robosome profiling in SETD2 and METTL14 knockdown and control HepG2 cells. Our RNA ribosome profiling revealed that depletion of SETD2 and METTL14 resulted in a global reduction in RNA translation and the changes of translation efficiency were correlated between SETD2 and METTL14 knockdown cells.

2019-02-21 | GSE121952 | 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