Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ABSTRACT: Characterization of Gastric Adenocarcinoma Molecular Subtypes through Intratumoral Microbiome

PROVIDER: PRJNA1061213 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR27440000.fastq.gz	Fastqsanger.gz
	SRR27440100.fastq.gz	Fastqsanger.gz
	SRR27440200.fastq.gz	Fastqsanger.gz
	SRR27440300.fastq.gz	Fastqsanger.gz
	SRR27440400.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 695

Similar Datasets

Project description:The intratumoral bacterial signature of gastric adenocarcinoma

| PRJNA1222766 | ENA

Molecular subtypes in pancreatic adenocarcinoma

Project description:Molecular subtypes in pancreatic adenocarcinoma

| PRJNA311745 | ENA

Molecular subtypes in gastric cancer.

Project description:Molecular subtypes in gastric cancer.

| PRJNA329144 | ENA

Co-enrichment of cancer-associated bacterial taxa is correlated with immune cell infiltrates in esophageal tumor tissue

Project description:Rates of esophageal adenocarcinoma are rising globally, with risk factors including a range of genetic and environmental factors, including obesity, tobacco smoking, TP53 mutations, and Barrett’s esophagus, a proinflammatory condition which often occurs prior to developing adenocarcinoma. Interestingly, these factors also modulate the gastrointestinal microbiome. To better understand the linkage between the microbiome, inflammation, and development of esophageal adenocarcinoma, we integrated 16S and RNA sequencing data. We found several microbial taxa enriched in tumor samples which were correlated with predicted immune cell infiltration from RNA-seq data, including a decrease in megakaryocyte-erythroid progenitor cells with a concomitant increase in platelets. These data suggest dysbiosis of the intratumoral microbiome promotes development and production of platelets, which reveal alterations in the immune microenvironment of esophageal adenocarcinoma and suggest novel therapeutic targets.

2024-02-07 | GSE234304 | GEO

Homo sapiens

Project description:Molecular subtypes in gastric cancer. [II]

| PRJNA329143 | ENA

Molecular subtypes in gastric cancer. [III]

Project description:Molecular subtypes in gastric cancer. [III]

| PRJNA613226 | ENA

Homo sapiens

Project description:Molecular subtypes in gastric cancer. [I]

| PRJNA329142 | ENA

Spatial transcriptome analysis of gastric cancer which GAN-KP transplanted C57BL/6J mouse

Project description:We have now developed an organoid-based model of gastric cancer from GAstric Neoplasia (GAN) mice, which express Wnt1 and the enzymes COX2 and microsomal prostaglandin E synthase 1 in the stomach. Both p53 knockout (GAN-p53KO) organoids and KRASG12V-expressing GAN-p53KO (GAN-KP) organoids were generated by genetic manipulation of GAN mouse–derived tumor (GAN-WT) organoids. To uncover the molecular mechanism underlying the intratumoral heterogeneity of GAN-KP tumors, we performed spatial transcriptomics analysis with the 10× Genomics Visium platform, which allows characterization of the spatial topography of gene expression.

2021-10-21 | GSE186290 | GEO

Frozen tumour samples of 131 gastric cancer patients [array CGH]

Project description:We sought to illustrate molecular subtypes associated with clinical prognosis and to identify genetic aberrations for potential targeted therapeutics through comprehensive whole-genome analysis of 131 Chinese gastric cancer tissue specimens using whole-genome array CGH.

2014-05-06 | GSE57302 | GEO

Transcription profiling of human non-small cell lung cancer adenocarcinoma and squamous cell carcinoma subtypes

Project description:Non-small cell lung cancer (NSCLC) can be classified into the major subtypes adenocarcinoma (AC) and squamous cell carcinoma (SCC) subtypes. Although explicit molecular, histological and clinical characteristics have been reported for both subtypes, no specific therapy exists so far. However, the characterization of suitable molecular targets holds great promises to develop novel therapies in NSCLC. In the present study, global gene expression profiling of 58 human high grade NSCLC specimens revealed large transcriptomic differences between AC and SCC subtypes: More than 1.700 genes were found to be differentially expressed. Experiment Overall Design: The NSCLC patient collective was composed of the histological subtype adenocarcinoma (n=40) and squamous cell carcinoma (n=18). We subjected gene expression profiles of 40 AC and 18 SCC samples into further analysis. Unsupervised hierarchical clustering of all 58 NSCLC tumors using the 500 most variably expressed transcripts revealed two different clusters, which were strongly associated with the histological subtypes AC and SCC of NSCLC. Our result indicated that the major impact on global transcriptional changes was due to the NSCLC histology.

2009-10-11 | E-GEOD-10245 | biostudies-arrayexpress

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