Identification of biomarkers in breast cancer by gene expression profiling using human tissues

Breast cancer is the second leading cause of death by cancer in women. To identify biomarkers with potential diagnostic and therapeutic utilities in breast cancer, gene expression profiling from real patient tissues was used to discover significantly deregulated genes out of 50,739 genes of human tr...

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Detalles Bibliográficos
Autores principales: Fu, Junjie, Allen, William, Xia, Amy, Ma, Zhuofan, Qi, Xin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2014
Materias:
Data in Brief
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4226530/
https://www.ncbi.nlm.nih.gov/pubmed/25396118
http://dx.doi.org/10.1016/j.gdata.2014.09.004
Descripción
Sumario:Breast cancer is the second leading cause of death by cancer in women. To identify biomarkers with potential diagnostic and therapeutic utilities in breast cancer, gene expression profiling from real patient tissues was used to discover significantly deregulated genes out of 50,739 genes of human transcriptome. Total RNAs were extracted, and the gene expression profiles of 32 cancerous and normal tissues were established using Agilent gene expression microarray technology. The results were analyzed with Agilent GeneSpring 12.6 software. Here we provide detailed experimental methods and analysis for the microarray data, which have been deposited into Gene Expression Omnibus (GEO) under GSE57297.

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