GEO Logo
   NCBI > GEO > Accession DisplayHelp Not logged in | LoginHelp
GEO help: Mouse over screen elements for information.
Series GSE65801 Query DataSets for GSE65801
Status Public on Feb 11, 2015
Title Characterization of differentially expressed genes involved in pathways associated with gastric cancer
Organism Homo sapiens
Experiment type Expression profiling by array
Non-coding RNA profiling by array
Summary 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.
Overall design 32 gastric cancer tissues and 32 paired noncancerous tissues were collected for this microarray analysis.
Contributor(s) Hao L, Beiqin Y, Jiangfang L, Liping S, Min Y, Jun Z, Chen L, Zhenggang Z, Bingya L
Citation(s) 25928635
Submission date Feb 10, 2015
Last update date Oct 11, 2016
Contact name hao li
Organization name school
Street address libing road
City shanghai
ZIP/Postal code 201203
Country China
Platforms (1)
GPL14550 Agilent-028004 SurePrint G3 Human GE 8x60K Microarray (Probe Name Version)
Samples (64)
GSM1606492 gastric_normal_622_male
GSM1606493 gastric_tumor_622_male
GSM1606494 gastric_normal_672_female
BioProject PRJNA275101

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE65801_RAW.tar 197.0 Mb (http)(custom) TAR (of TXT)
Raw data provided as supplementary file
Processed data included within Sample table

| NLM | NIH | GEO Help | Disclaimer | Accessibility |
NCBI Home NCBI Search NCBI SiteMap