Expression data of gastric cancer by conventional microarray and by suppressive subtractive hybridization coupled to microarray
Source: NCBI BioProject (ID PRJNA169536)
Source: NCBI BioProject (ID PRJNA169536)
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Project name: Homo sapiens
Description: Transcriptional profiling of gastric tumors compared to paired adjacent non-tumoral gastric tissue by two strategies. The first strategy is a conventional microarray assay, while the second strategy involves a previous Suppression Subtractive Hybridization (SSH) followed by a conventional microarray assay. We applied subtractive hybridization followed by microarray analysis to identify tumor-specific low-abundance transcripts. The goal was to determine differences in gene expression profile in tumor samples by both strategies.Overall design: Two-condition experiment: tumoral vs. adjacent non-tumoral tissues. Biological replicates: 12 tumoral replicates, 12 non-tumoral replicates. The same replicates were used for both strategies (conventional, SSH). Human Universal Reference RNA (Clontech) was used as the reference.
Data type: Transcriptome or Gene expression
Sample scope: Multiisolate
Relevance: Medical
Organization: BioScience Data Mining Group, School of Engineering, Catholic University of Cordoba
Literatures
- PMID: 23907728
Release date: 2012-06-27
Last updated: 2012-06-25