Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Identification of differentially expressed Long Non-coding RNA profiles in advanced gastric cancer

ABSTRACT: Long non-coding RNAs (lncRNAs) may contribute to tumorigenesis and cancer progression by regulating the gene in various cancers, including advanced gastric cancer (AGC). To investigate differentially expressed lncRNAs in AGC, we use whole transcriptome sequencing in 3 pairs of human gastric adenocarcinoma and the corresponding normal tissues.

ORGANISM(S): Homo sapiens

PROVIDER: GSE210909 | GEO | 2023/08/10

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Early and advanced gastric cancer genomes

2014-06-30 | GSE57176 | GEO

Early and advanced gastric cancer genomes

Project description:Early gastric cancers (EGC) precede advanced gastric cancers (AGC) with a favorable clinical outcome compared to advanced gastric cancers (AGC). To understand the progression mechanisms of EGC to AGC, it is required to disclose the EGC and AGC genomes in terms of the the mutational and evolutionary perspectives. In this study, we performed whole-exome sequencing and copy number profiling of nine microsatellite (MS)-unstable (MSI-H) (5 EGC and 4 AGC) and eight MS-stable (MSS) gastric cancers (4 EGC and 4 AGC). Unexpectedly, we observed no substantial differences in the number, sequence composition and functional consequences (potential driver mutations and affected pathways) of the mutations and CNAs between EGC and AGC genomes in both MSI-H and MSS cases. Gastrectomy tissues from 17 GC patients were used for this study. The hospital pathology department confirmed pathologic features of the GC (e.g., EGC vs. AGC, differentiation, lymph node metastasis and TNM stage). All of the picked areas from tumor and normal areas were frozen, cut, and stained with hematoxylin & eosin (H&E). Two pathologists selected cases with rich tumor cell population (at least 60%), which were subsequently used in the study. Copy number profiling was performed using Agilent 180K platform according to the manufacturer's protocol.

2014-06-30 | E-GEOD-57176 | biostudies-arrayexpress

lncRNAs expression signatures of gastric cancer

Project description:Long noncoding RNAs (LncRNAs) are an important class if pervasive genes involved in a variety of biological functions. LncRNAs have been recently implicated as having oncogenic and tumor suppressor roles. To further investigate the function of lncRNA in gastric cancer, we use lncRNA microarray to describe LncRNAs profiles in 6 pairs of human gastric adenocarcinoma and the corresponding adjacent nontumorous tissues. The experimental samples are divided into two groups(normal and tumor) to compare lncRNA expression profiling of those

2013-12-09 | E-GEOD-53137 | biostudies-arrayexpress

Characterization of differentially expressed genes involved in pathways associated with gastric cancer

Project description:To explore the patterns of gene expression in gastric cancer, a total of 32 paired gastric cancer and noncancerous tissues from patients were collected for gene expression microarray analyses. Limma methods were applied to analyze the data, and genes were considered to be significantly differentially expressed if the False Discovery Rate (FDR) values < 0.01, P-value < 0.01 and the fold change >2. Subsequently, Gene Ontology (GO) analysis was used to analyze the main functions of the differentially expressed genes. According to the Kyoto Encyclopedia of Genes and Genomes (KEGG) database, we found pathways significantly associated with the differential genes. Gene-Act network and Co-Expression networks were built respectively based on the relationships among the genes, proteins and compounds in the database. There were 2371 differential mRNAs and 350 differential lncRNAs in our microarray data. The GO categories, pathway analyses and the Gene-Act network showed a consistent result that up-regulated genes were involved in tumorigenesis, migration, angiogenesis and microenvironment formation, while down-regulated genes were involved in metabolism. The results of this study provide some novel findings on genes, pathways and the co-expression network in gastric cancer which will be useful to guide further investigation and target therapy for this disease. 32 gastric cancer tissues and 32 paired noncancerous tissues were collected for this microarray analysis.

2015-02-11 | E-GEOD-65801 | biostudies-arrayexpress

lncRNAs expression signatures of gastric cancer

2013-12-09 | GSE53137 | GEO

Methylation profiling in gastric cancer

Project description:Methylation profiling in gastric cancer : normal serum vs Early and Advanced cancer serum Direct comparison experiment : Normal vs EGC, Normal vs AGC

2012-08-17 | E-GEOD-39532 | biostudies-arrayexpress

identification of differentially expressed Long Non-coding RNA profiles in advanced gastric cancer

Project description:identification of differentially expressed Long Non-coding RNA profiles in advanced gastric cancer

| PRJNA868303 | ENA

Human gastric mucosa: 3 paired hTERT-negative para cancerous tissue (Control) vs. hTERT-positive gastric cancer tissue

Project description:The lncRNA expression profiles in three pairs of hTERT-positive gastric cancer tissue sand hTERT-negative para-cancerous tissues. The para-cancerous tissue is at least 5cm away from the cancer tissue. The expression of hTERT of identified by immunohistochemistry before RNA extraction for lncRNA assay. LncRNAs/mRNAs in 3 gastric cancer tissue and 3 paired para-cancerous tissue (Control) by microarray using Arraystar Human LncRNA Microarray v2.0

2014-06-26 | E-GEOD-58828 | biostudies-arrayexpress

Characterization of differentially expressed genes involved in pathways associated with gastric cancer

2015-02-11 | GSE65801 | GEO

DNA methylation represents one of the key regulator that transcriptional control of highly expressed genes in gastric cancer.

Project description:We used microarray approach to establish demethylated specific genes profiles in early gastric cancer. We analyzed 11 gastric cancer cell lines and 32 pairs of gastric cancer and normal samples to discover methylation signatures specific to gastric cancer cells.

2011-05-31 | E-GEOD-25869 | 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