Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Expression profiles of microRNAs in gastric cancer

ABSTRACT: We analyzed expression profiles of microRNAs from 22 paired gastric cancer and normal tissues and identified differentially expressed microRNAs.

ORGANISM(S): Homo sapiens

PROVIDER: GSE28700 | GEO | 2011/04/21

SECONDARY ACCESSION(S): PRJNA138915

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

Expression profiles of microRNAs in gastric cancer

Project description:We analyzed expression profiles of microRNAs from 22 paired gastric cancer and normal tissues and identified differentially expressed microRNAs. RNA from paired normal and tumor specimens in 22 gastric cancer patients were extracted and treated for microRNA microarray analysis.

2011-04-21 | E-GEOD-28700 | biostudies-arrayexpress

microRNA expression profiling in human gastric cancer

Project description:Using the highly sensitive miRCURY LNA™ microRNA array, we screened 3100 microRNAs abundant in the human gastric cancer and Adjacent normal gastric mucosa tissues, and the function of differentially expressed microRNAs were analyzed by bioinformatics. The enrichment results indicated that these microRNAs perhaps participated in the occurrence and development process of gastric cancer.

2016-02-20 | GSE78091 | GEO

Characteristics of microRNAs Profile in Five Pairs of Early Gastric Cancer Tissues and Matched Adjacent Normal Mucosa Tissues.

Project description:Gastric cancer is one of the most common malignant tumors. Asia has a high incidence of gastric cancer globally. South Korea, Mongolia, Japan and China are the four countries with the highest incidence of gastric cancer in the world. Gansu province in China has the estimated age-standardized incidence rates and mortality rates by Chinese standard population of 62.34/100,000 and 36.94/100,000, respectively, in 2012, which are much higher than the average level of China (22.06/100,000 and 15.16/100,000) in the same year. As a high incidence area of gastric cancer in China, Wuwei city in Gansu province has the prevalence of gastric cancer almost 5 times higher than the average level nationwide. In this study, the cancer tissues and matched adjacent normal mucosa tissues of 5 patients with early gastric cancers who were treated with ESD in Gansu Wuwei Tumor Hospital and the First Hospital of Lanzhou University were collected. All of the patients are from Gansu, China. MicroRNA array was used to find the differences in microRNAs expression profile between the early gastric cancer tissues and the para-cancer normal tissues. It is expected to explore the reasons of the abnormal high incidence of gastric cancer in Gansu Province, China, from the aspect of microRNAs expression profile characteristics.

2021-07-01 | GSE158315 | GEO

Expression data from 5 paired of gastric cancer tissues and gastric normal tissues

Project description:In this dataset, we include the expression data obtained from gastric cancer tissues and gastric normal tissues to determine the differentially expressed genes in gastric cancer tissues 10 tissues (5 paired of gastric cancer vs.normal tissues) were analysed. We generated the following pairwise comparisons:C1 VS.N1;C2 VS.N2;C3 VS.N3;C4 VS.N4;C5 VS.N5; genes with a fold-change ≥2 were selected

2014-04-16 | E-GEOD-56807 | biostudies-arrayexpress

MicroRNA expression profiles in 15 paired of gastric cancer tissues and gastric normal tissues

2014-11-10 | GSE63121 | GEO

Epigenome analysis of normal and gastric cardia cancer samples

Project description:Genome wide DNA methylation profiling of normal and gastric cardia cancer samples. The Illumina Infinium 850k Human DNA methylation Beadchip was used to obtain DNA methylation profiles across approximately 850,000 CpGs in normal and gastric cardia cancer samples. Samples included 8 normal -gastrica cardia cancer paired tissues.

2023-01-01 | GSE200484 | GEO

Transcriptome analysis on gastric cancer

Project description:Reliable identification of cancer markers can have substantial implications to early detection of cancer. We report here an integrated computational and experimental study on identification of gastric cancer markers in patients’ tissue and sera based on (i) genome-scale transcriptomic analyses on 80 paired gastric cancer/reference tissues, with the aim of identifying abnormally expressed genes at various subtypes/stages of gastric carcinoma (ii) a computational identification of differentially expressed genes that may have their proteins secreted into blood circulation, followed by experimental validations. 160 Total samples were analyzed on paried tumor and adjacent normal tissues from 80 gastric cancer patients. Differential analysis identified genes with a fold-change over 1.5.

2011-03-01 | E-GEOD-27342 | biostudies-arrayexpress

Gene expression studies in apparently normal, paired normal and malignant gastric tissues

Project description:Gene expression profiling of apparently normal gastric tissue (obtained from patients undergoing gastric surgery for Non-gastric cancers), paired normals (obtained from the same stomach as the gastric cancer but confirmed by frozen section not to harbour any tumour cells) and gastric cancer, with an intent to identify genes involved in the malignant transformation of normal gastric mucosa and to identify genes which can be used as biomarkers for early diagnosis and potential targets for treatment Identification of novel prognostic markers using microarray gene expression studies. Keywords: Patient tissue samples Two-dye experiments using Universal control RNA (Stratagene) and RNA from tissues. Biological replicates: Apparently Normal = 5; Paired Normal = 20; Gastric cancers = 24. One replicate per array.

2010-11-30 | E-GEOD-17154 | biostudies-arrayexpress

Gastric Cancer Study GC_126

Project description:126 gastric tissues (90 tumor, 14 lymphnode and 22 normal) assayed using 44K human arrays against common reference (CRG). Published by Leung et al, PNAS, 2002 (PubMed ID 12456890) and Chen et al, MBC, 2003. A clinical history design type is where the organisms clinical history of diagnosis, treatments, e.g. vaccinations, surgery etc. Series_overall_design: Using regression correlation Keywords: other

2005-05-25 | GSE2701 | GEO

Expression profiling of cricular RNA in human gastric cancer

Project description:By the high sensitive cricular RNA micro array, we commpared 10211 circular RNAs abundant in the human gastric cancer tissues and adjacent normal gastric mucosa tissues, and the functional role of differentially expressed circular RNAs were analyzed by bioinformatics. The enrichment results indicated that these circular RNAs may involevd in the occurrence and progression process of gastric cancer.

2019-12-14 | GSE141977 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

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