Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

RNA-sequencing of SGC-7901 cells with and without PUM1 knockdown

ABSTRACT: In order to explore the effect of RNA-binding protein PUM1 on proliferation, metastasis and metabolism of gastric cancer, we established PUM1 stable knockdown SGC-7901 cell lines. We then performed gene expression profiling analysis using data obtained from RNA-seq of PUM1-knockdown and negative control SGC-7901 cells.

ORGANISM(S): Homo sapiens

PROVIDER: GSE212848 | GEO | 2022/09/10

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

RNA-sequencing of SGC-7901 cells with and without PUM1 knockdown

Project description:RNA-sequencing of SGC-7901 cells with and without PUM1 knockdown

| PRJNA877641 | ENA

Differential gene expression between BGC-823/NC and BGC-823/MTA2, SGC-7901/NC and SGC-7901/shMTA2 cells

Project description:Metastasis associated 1 family, member 2 (MTA2) gene is classified to metastasis associated gene family. We have previously reported that MTA2 gene was overexpressed in gastric cancer tissues, correlating with tumor invasion, lymph node metastasis, and advanced TNM stage. MTA2 knockdown significantly inhibited gastric cancer cell invasion and metastasis. Yet, its molecular mechanisms are still unclear. The aim of this study is to investigate the molecular mechanisms of MTA2 in regulating malignant behaviors of gastric cancer. This experiment captures the expression data between BGC-823/NC and BGC-823/MTA2, SGC-7901/NC and SGC-7901/shMTA2 cells using Whole human genome microarray 4×44K (Design ID: 014850, Agilent technologies).

2015-04-08 | E-MTAB-3469 | biostudies-arrayexpress

The microarrays from human gastric cancer SGC-7901 cells

Project description:NUAK1 was highly expressed in tumors, and promoted their invasion and metastasis.. The study is to explore the downstream of NUAK1 in human gastric cancer SGC-7901 cells

2021-01-01 | GSE123924 | GEO

Expression analysis of gene expression changes in Homo sapiens SGC-7901 cells after knock down of MTA2 or overexpression of SNHG5

Project description:Expression analysis of gene expression changes in Homo sapiens SGC-7901 cells after knock down of MTA2 (Metastasis-associated protein) or overexpression SNHG5 (snoRNA host gene 5) Investigation of whole genome gene expression level changes in a Homo sapiens gastric carcinoma cells SGC-7901 after knock down MTA2 expression and upregulation of SNHG5 A four chip study using total RNA extracted from SGC-7901 cells transfected with siRNA negative control and SGC-7901 cells knock down of MTA2 with siRNA. Each chip measures the expression level of 45033 genes collected from the authoritative data source including NCBI

2015-09-09 | E-GEOD-65915 | biostudies-arrayexpress

Expression profiling on HPSE deleted SGC-7901 gastric cancer cells

Project description:HPSE plays important roles in gastric cancer cell proliferation, apoptosis and metastasis.The aim of this study is to explore molecular mechanism underling roles of HPSE in gastric cancer cell proliferation, survival, migration and metastasis. SGC-7901 gastric cancer cells were transfected with HPSE siRNA (10nM) or scramble control siRNA, RNA were extracted 24hours after transfectioin and hybridized to Affymetrix microarrays. 3 biological repeats were used for each condition.

2013-12-02 | E-GEOD-34080 | biostudies-arrayexpress

Expression analysis of gene expression changes in Homo sapiens SGC-7901 cells after knock down of MTA2 or overexpression of SNHG5

2015-09-09 | GSE65915 | GEO

The microarrays from human gastric cancer SGC-7901 cells

Project description:The microarrays from human gastric cancer SGC-7901 cells

| PRJNA510334 | ENA

Expression data from gastric cancer cell line SGC-7901

Project description:Expression data from gastric cancer cell line SGC-7901

| PRJNA616133 | ENA

RNA transcriptome sequencing analysis of SGC-7901 cells transfected with ENST00000431060 shRNA or control shRNA

Project description:RNA transcriptome sequencing analysis was performed in SGC-7901 cells that were transfected with ENST00000431060 shRNA or control shRNA

2018-10-02 | GSE112586 | GEO

Transcriptomic analysis of gastric cancer SGC-7901 cells in response to stable over-expression of intelectin 1

Project description:Gastric cancer is one of the most common cancers worldwide, with approximately 1 million patients being diagnosed annually. Better elucidating the mechanisms of tumorigenesis and aggressiveness is important for improving the therapeutic efficiencies of gastric cancer. Since our previous studies indicate that intelectin 1 (ITLN1) is aberrantly expressed in gastric cancer and serves as a prognostic factor for predicting the outcomes of gastric cancer patients, we hypothesized that ITLN1 might participate in the progression and aggressiveness of gastric cancer. We employed the human whole genome microarray expression profiling as a discovery platform to analyze the transcriptome profiling changes of human gastric cancer SGC-7901 cells in response to stable over-expression of ITLN1. The results showed that stable over-expression of ITLN1 led to altered expression of 1592 human mRNAs, including 547 up-regulated genes and 1045 down-regulated genes. Then we found the possible roles of these differentially regulated mRNAs in selected pathways including cell cycle/proliferation, apoptosis, and cytokine/chemokine responses by Bioinformatic analysis. Furthermore, we validated the microarray results by real-time RT-PCR with high identity. Overall, our results provided fundamental information about the transcriptomic changes in response to ITLN1 over-expression in human gastric cancer cells, and these findings will help us understand the pathogenesis of gastric cancer.

2015-07-01 | GSE58962 | 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