Browse
Submit Data
Databases
API
Help

Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

13 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Expression profiling on HPSE deleted SGC-7901 gastric cancer cells

ABSTRACT: 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.

ORGANISM(S): Homo sapiens

SUBMITTER: Yan Zhang

PROVIDER: E-GEOD-34080 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Json Xml

Similar Datasets

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

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. Total RNA of cells stably transfected with empty vector or ITLN1 was extracted using the TRIZOL Reagent according to the manufacturer's instructions. Gene expression profiling was performed for each RNA sample separately on the Agilent Whole Human Genome Oligo Microarray 4×44K at Shanghai Technology Corporation (Shanghai, China), in which GeneChip microarray service was certificated by Agilent.

2015-07-01 | E-GEOD-58962 | biostudies-arrayexpress

Expression analysis of gastric carcinoma tissues and cell line SGC-7901

Project description:This SuperSeries is composed of the SubSeries listed below. Refer to individual Series

2015-09-09 | E-GEOD-65917 | biostudies-arrayexpress

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

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

Project description: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.

2022-09-10 | GSE212848 | GEO

Expression analysis of gastric cancer cells treated with periplocin

Project description:To further analyze the change of differential gene expression between SGC-7901 cells treated with 100ng/ml periplocin and untreated cells, respectively. We employed whole genome microarray expression profiling as a discovery platform to identify genes. Gene expression in SGC-7901 cells treated with 100ng/ml periplocin for 24h at 37 ÂºC in a humidified incubator with 5% CO2.

2016-02-23 | E-GEOD-78211 | biostudies-arrayexpress