Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

5' droplet-based single-cell RNA sequencing of human gastric cancer tissue

ABSTRACT: Using single-cell sequencing, we profiled single cells derived from one human gastric tumor.

ORGANISM(S): Homo sapiens

PROVIDER: GSE232733 | GEO | 2024/05/29

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

5' droplet-based single cell RNA sequencing of human gastrointestinal organoids and Intestinal Metaplasia (IM) organoids [scRNA-seq]

Project description:Using 5' droplet-based single cell sequencing, we profiled single cells dervied from human gastric, intestinal and IM organoids.

2024-10-15 | GSE210991 | GEO

3' droplet-based single cell RNA sequencing of a human small intestinal tissue and human small intestinal organoids

Project description:Using 3' droplet-based single cell sequencing, we profiled single cells derived from a fresh human small intestinal epithelial tissue and human small intestinal organoids cultured with either IGF1/FGF2 or EGF/p38i.

2018-12-06 | GSE119969 | GEO

5' droplet-based single cell RNA sequencing of human colorectal cancer and normal organoids

Project description:Using 5' droplet-based single cell sequencing, we profiled single cells dervied from human colorectal cancer organoids carrying either APC mutation or RSPO fusion, and paired normal colon organoids for the later.

2020-03-31 | GSE142116 | GEO

Comprehensive Molecular Characterizations of Gastric Tissue and Gastric Cancer Revealed by Single-cell RNA-seq

Project description:Molecular knowledge of normal gastric tissues and gastric cancers remains incomplete. Here, we used single-cell RNA-seq to study the cell diversity of gastric tissues and gastric cancers. The expression landscape of normal gastric cell types and several candidate stem cell markers were obtained. Surprisingly, nearly all cell types in the antrum could transdifferentiate to intestinal metaplasia (IM). We also explored intra-tumoral heterogeneity and identified four common features of gastric cancer. In addition, we classified tumor cells into three major subtypes, which are associated with their prognosis. Finally, the proportions of mesenchymal and endothelial cells in the tumor microenvironment (TME) were negatively correlated with the prognosis of gastric cancer. Therefore, our work provides comprehensive molecular characterizations of both gastric development and gastric cancer at single-cell resolution and has significant potential to inspire better treatment strategies for gastric cancer. Keywords: Expression profiling by high throughput sequencing

2022-09-27 | GSE112302 | GEO

Epigenome signatures during gastric carcinogenesis based on next generation sequencing analysis [Bisulfite-Seq]

Project description:Because gastric cancer cells already had genetic and epigenetic alterations which can affect the gastric carcinogenesis, we tried to characterize genetic and epigenetic changes during gastric carcinogenesis. To do this, we performed MBD sequencing and RRBS sequencing. MBD and RRBS sequencing of gastric mucosa, intestinal metaplasia, and gastric cancer cells from one patient were generated by NGS using Illumina GAII.

2015-09-01 | E-GEOD-55159 | biostudies-arrayexpress

Epigenome signatures during gastric carcinogenesis based on next generation sequencing analysis [MBD-Seq]

2015-09-01 | E-GEOD-55157 | biostudies-arrayexpress

Single cell transcriptome sequencing of gastric cancer cell lines

Project description:We report the integrative analysis of single cell genome and transcriptome characteristics of gastric cancer cell lines

2019-12-31 | GSE142750 | GEO

Single-nucleus RNA sequencing of human subcutaneous adipose tissue biopsies from 68 Finnish participants.

Project description:We performed single-nucleus RNA-seq on subcutaneous adipose tissue biopsies of 68 participants from the Roux-en-Y versus one-anastomosis gastric bypass (RYSA) cohort.

2024-11-06 | GSE274778 | GEO

Single-Cell Transcriptome Analysis Reveals Neutrophil Populations in Gastric Cancer

Project description:The full neutrophil heterogeneity and function remains incompletely characterized in gastric cancer progression. Here, we profiled >21,854 mouse neutrophils with an average of 1,189 genes per cell using single-cell RNA sequencing to provide a comprehensive transcriptional landscape of neutrophil function and fate decision in tumor progression. By combining scRNA-Seq analysis with tumor model, flowcytometry, genetic mice and clinical sample, our results define four neutrophils subpopulations in gastric cancer. Importantly, we also identified the critical transcription factor for the generation of effective activated neutrophils targeted for tumor cells.

2023-09-11 | GSE168537 | GEO

Metabolite comparison of mouse gastric tissue and glands

Project description:The goal of this project was to compare the metabolite profiles of the: mouse gastric antrum and the mouse gastric corpus, the mouse gastric antrum and the mouse gastric antrum isolated glands, and the mouse gastric corpus and the mouse gastric corpus isolated glands.

2016-02-09 | ST000354 | MetabolomicsWorkbench

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