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Transcriptional profiling of differentially expressed long non-coding RNAs in breast cancer

Long non-coding RNAs (lncRNAs) are subclass of noncoding RNAs that have been recently shown to play critical roles in cancer biology. However, little is known about their mechanistic role in breast cancer pathogenesis, especially in triple-negative breast carcinomas (TNBC) that have particular poor...

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Detalles Bibliográficos
Autores principales: Wang, Lizhen, Shen, Xiaokun, Xie, Bojian, Ma, Zhaosheng, Chen, Xiaobing, Cao, Feilin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4664755/
https://www.ncbi.nlm.nih.gov/pubmed/26697378
http://dx.doi.org/10.1016/j.gdata.2015.09.020
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author Wang, Lizhen
Shen, Xiaokun
Xie, Bojian
Ma, Zhaosheng
Chen, Xiaobing
Cao, Feilin
author_facet Wang, Lizhen
Shen, Xiaokun
Xie, Bojian
Ma, Zhaosheng
Chen, Xiaobing
Cao, Feilin
author_sort Wang, Lizhen
collection PubMed
description Long non-coding RNAs (lncRNAs) are subclass of noncoding RNAs that have been recently shown to play critical roles in cancer biology. However, little is known about their mechanistic role in breast cancer pathogenesis, especially in triple-negative breast carcinomas (TNBC) that have particular poor outcomes. This study was specifically designed to identify the signatures relevant lncRNAs in breast cancer and characterize lncRNAs that modulate the phenotype. Here we provide detailed methods and analysis of microarray data, which is deposited in the Gene Expression Omnibus (GEO) with the accession number GSE64790. The basic analysis as contained in the manuscript published in Oncotarget with the PMID 26078338. These data can be used to further elucidate the mechanisms of breast cancer.
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spelling pubmed-46647552015-12-22 Transcriptional profiling of differentially expressed long non-coding RNAs in breast cancer Wang, Lizhen Shen, Xiaokun Xie, Bojian Ma, Zhaosheng Chen, Xiaobing Cao, Feilin Genom Data Data in Brief Long non-coding RNAs (lncRNAs) are subclass of noncoding RNAs that have been recently shown to play critical roles in cancer biology. However, little is known about their mechanistic role in breast cancer pathogenesis, especially in triple-negative breast carcinomas (TNBC) that have particular poor outcomes. This study was specifically designed to identify the signatures relevant lncRNAs in breast cancer and characterize lncRNAs that modulate the phenotype. Here we provide detailed methods and analysis of microarray data, which is deposited in the Gene Expression Omnibus (GEO) with the accession number GSE64790. The basic analysis as contained in the manuscript published in Oncotarget with the PMID 26078338. These data can be used to further elucidate the mechanisms of breast cancer. Elsevier 2015-09-30 /pmc/articles/PMC4664755/ /pubmed/26697378 http://dx.doi.org/10.1016/j.gdata.2015.09.020 Text en © 2015 Elsevier Inc. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Data in Brief
Wang, Lizhen
Shen, Xiaokun
Xie, Bojian
Ma, Zhaosheng
Chen, Xiaobing
Cao, Feilin
Transcriptional profiling of differentially expressed long non-coding RNAs in breast cancer
title Transcriptional profiling of differentially expressed long non-coding RNAs in breast cancer
title_full Transcriptional profiling of differentially expressed long non-coding RNAs in breast cancer
title_fullStr Transcriptional profiling of differentially expressed long non-coding RNAs in breast cancer
title_full_unstemmed Transcriptional profiling of differentially expressed long non-coding RNAs in breast cancer
title_short Transcriptional profiling of differentially expressed long non-coding RNAs in breast cancer
title_sort transcriptional profiling of differentially expressed long non-coding rnas in breast cancer
topic Data in Brief
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4664755/
https://www.ncbi.nlm.nih.gov/pubmed/26697378
http://dx.doi.org/10.1016/j.gdata.2015.09.020
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