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
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author Fu, Junjie
Allen, William
Xia, Amy
Ma, Zhuofan
Qi, Xin
author_facet Fu, Junjie
Allen, William
Xia, Amy
Ma, Zhuofan
Qi, Xin
author_sort Fu, Junjie
collection PubMed
description 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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spelling pubmed-42265302015-10-19 Identification of biomarkers in breast cancer by gene expression profiling using human tissues Fu, Junjie Allen, William Xia, Amy Ma, Zhuofan Qi, Xin Genom Data Data in Brief 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. Elsevier 2014-09-18 /pmc/articles/PMC4226530/ /pubmed/25396118 http://dx.doi.org/10.1016/j.gdata.2014.09.004 Text en © 2014 The Authors http://creativecommons.org/licenses/by-nc-nd/3.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/3.0/).
spellingShingle Data in Brief
Fu, Junjie
Allen, William
Xia, Amy
Ma, Zhuofan
Qi, Xin
Identification of biomarkers in breast cancer by gene expression profiling using human tissues
title Identification of biomarkers in breast cancer by gene expression profiling using human tissues
title_full Identification of biomarkers in breast cancer by gene expression profiling using human tissues
title_fullStr Identification of biomarkers in breast cancer by gene expression profiling using human tissues
title_full_unstemmed Identification of biomarkers in breast cancer by gene expression profiling using human tissues
title_short Identification of biomarkers in breast cancer by gene expression profiling using human tissues
title_sort identification of biomarkers in breast cancer by gene expression profiling using human tissues
topic Data in Brief
url 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
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