Methylation analysis of STAT3 targets in gastric cancer patient samples
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA682787 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:To investigate the differences of STAT3-mediated DNA methylation in gastric cancer patient samples, genome wide DNA methylation profiling for STAT3-positive/negative patient samples
2023-12-05 | GSE162731 | GEO
Project description:Methylation analysis of STAT3 targets in gastric cancer cells
| PRJNA431359 | ENA
Project description:To investigate the knockdown effect of STAT3 on DNA methylation on gastric cancer cells, genome wide DNA methylation profiling of AGS transfected with pLKO.1-puro-shGFP or shSTAT3 generated from Illumina Infinium MethylationEPIC.
2019-06-04 | GSE109541 | GEO
Project description:EGFRvIII/STAT3 targets in glioblastoma pathogenesis
| PRJNA222297 | ENA
Project description:Next generation sequencing platforms were used to identify STAT3 targets in the background of EGFRvIII expresssion mRNA of 3 EGFRvIII positive brain tumor stem cell lines (BTSC #68, 73, and 90) were compared to an EGFRvIII negative line (#41) to identify EGFRvIII-regulated targets in human BTSC. EGFRvIII-dependent targets in mouse astrocytes were identified by mRNA-seq analyses of EGFRvIII- or MSCV-expressing astrocytes. STAT3-differentially regulated genes in EGFRvIII expressing mouse astrocytes were obtained by subjecting EGFRvIII,STAT3f/f and EGFRvIII, STAT3-/- astrocytes to mRNA-Seq analyses. Sites of STAT3 occupancy in EGFRvIII expressing astrocytes were identified by ChIP-Seq using a STAT3 antibody or IgG control. We identified OSMR as a direct target of STAT3 in both EGFRvIII-expressing human BTSC and mouse astrocytes. Therefore to identify OSMR-regulated genes, we used a lentiviral mediated RNAi system to knockdown OSMR in EGFRvIII-expressing astrocytes. OSMR-dependent differentially expressed genes were obtained by comparison of OSMR knockdown (KD1 and KD2) astrocytes to control groups (ShRNA control and Vector control)
2016-04-13 | E-GEOD-51281 | biostudies-arrayexpress
Project description:Genome-wide mRNA expression profiles of 70 primary gastric tumors from the Australian patient cohort. Like many cancers, gastric adenocarcinomas (gastric cancers) show considerable heterogeneity between patients. Thus, there is intense interest in using gene expression profiles to discover subtypes of gastric cancers with particular biological properties or therapeutic vulnerabilities. Identification of such subtypes could generate insights into the mechanisms of cancer progression or lay the foundation for personalized treatments. Here we report a robust gene-xpression-based clustering of a large collection of gastric adenocarcinomas from Singaporean patients [GSE34942 and GSE15459]. We developed and validated a classifier for the three subtypes in Australian patient cohort. Profiling of 70 primary gastric tumors on Affymetrix GeneChip Human Genome U133 Plus 2.0 Array. All tumors were collected with approvals from Peter MacCallum Cancer Center, Australia; the Research Ethics Review Committee; and signed patient informed consent.
2012-07-04 | E-GEOD-35809 | biostudies-arrayexpress
Project description:Genome-wide mRNA expression profiles of 70 primary gastric tumors from the Australian patient cohort. Like many cancers, gastric adenocarcinomas (gastric cancers) show considerable heterogeneity between patients. Thus, there is intense interest in using gene expression profiles to discover subtypes of gastric cancers with particular biological properties or therapeutic vulnerabilities. Identification of such subtypes could generate insights into the mechanisms of cancer progression or lay the foundation for personalized treatments. Here we report a robust gene-xpression-based clustering of a large collection of gastric adenocarcinomas from Singaporean patients [GSE34942 and GSE15459]. We developed and validated a classifier for the three subtypes in Australian patient cohort.
2012-07-05 | GSE35809 | GEO
Project description:Helicobacter pylori strain:gastric mucosa of a patient with gastric ulcer | isolate:gastric mucosa of a patient with gastric ulcer Genome sequencing
| PRJNA973247 | ENA
Project description:Genome-wide mRNA expression profiles of 56 primary gastric tumors from the Singapore patient cohort, batch B. Like many cancers, gastric adenocarcinomas (gastric cancers) show considerable heterogeneity between patients. Thus, there is intense interest in using gene expression profiles to discover subtypes of gastric cancers with particular biological properties or therapeutic vulnerabilities. Identification of such subtypes could generate insights into the mechanisms of cancer progression or lay the foundation for personalized treatments. Here we report a robust gene-expression-based clustering of a large collection of gastric adenocarcinomas (with GSE15459) from Singaporean patients. Profiling of 56 primary gastric tumors on Affymetrix GeneChip Human Genome U133 Plus 2.0 Array. All tumors were collected with approvals from the National Cancer Centre, Singapore; the Research Ethics Review Committee; and signed patient informed consent.
2014-09-05 | E-GEOD-34942 | biostudies-arrayexpress
Project description:Next generation sequencing platforms were used to identify STAT3 targets in the background of EGFRvIII expresssion
2016-04-13 | GSE51281 | GEO