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Differentially expressed microRNAs in colorectal cancer metastasis

Tumor metastasis continues to be the most significant contributor to cancer related mortality, and although several studies have examined expression profiles emanating from patients with metastatic disease, very little information is available about signatures that differentiate metastatic lesions f...

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Detalles Bibliográficos
Autores principales: Abba, Mohammed, Benner, Axel, Patil, Nitin, Heil, Oliver, Allgayer, Heike
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4664671/
https://www.ncbi.nlm.nih.gov/pubmed/26697326
http://dx.doi.org/10.1016/j.gdata.2015.08.001
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author Abba, Mohammed
Benner, Axel
Patil, Nitin
Heil, Oliver
Allgayer, Heike
author_facet Abba, Mohammed
Benner, Axel
Patil, Nitin
Heil, Oliver
Allgayer, Heike
author_sort Abba, Mohammed
collection PubMed
description Tumor metastasis continues to be the most significant contributor to cancer related mortality, and although several studies have examined expression profiles emanating from patients with metastatic disease, very little information is available about signatures that differentiate metastatic lesions from primary tumors and associated normal tissues, largely because such matched tissue sample series are rare. This study was specifically designed to identify the metastasis relevant microRNAs in colorectal cancer and characterize microRNAs that modulate the metastatic phenotype. Here we describe in detail how the data, deposited in the Gene Expression Omnibus (GEO) with the accession number GSE54088, was generated including the basic analysis as contained in the manuscript published in Cancer Research with the PMID 26069251.
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spelling pubmed-46646712015-12-22 Differentially expressed microRNAs in colorectal cancer metastasis Abba, Mohammed Benner, Axel Patil, Nitin Heil, Oliver Allgayer, Heike Genom Data Data in Brief Tumor metastasis continues to be the most significant contributor to cancer related mortality, and although several studies have examined expression profiles emanating from patients with metastatic disease, very little information is available about signatures that differentiate metastatic lesions from primary tumors and associated normal tissues, largely because such matched tissue sample series are rare. This study was specifically designed to identify the metastasis relevant microRNAs in colorectal cancer and characterize microRNAs that modulate the metastatic phenotype. Here we describe in detail how the data, deposited in the Gene Expression Omnibus (GEO) with the accession number GSE54088, was generated including the basic analysis as contained in the manuscript published in Cancer Research with the PMID 26069251. Elsevier 2015-08-05 /pmc/articles/PMC4664671/ /pubmed/26697326 http://dx.doi.org/10.1016/j.gdata.2015.08.001 Text en © 2015 The Authors 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
Abba, Mohammed
Benner, Axel
Patil, Nitin
Heil, Oliver
Allgayer, Heike
Differentially expressed microRNAs in colorectal cancer metastasis
title Differentially expressed microRNAs in colorectal cancer metastasis
title_full Differentially expressed microRNAs in colorectal cancer metastasis
title_fullStr Differentially expressed microRNAs in colorectal cancer metastasis
title_full_unstemmed Differentially expressed microRNAs in colorectal cancer metastasis
title_short Differentially expressed microRNAs in colorectal cancer metastasis
title_sort differentially expressed micrornas in colorectal cancer metastasis
topic Data in Brief
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4664671/
https://www.ncbi.nlm.nih.gov/pubmed/26697326
http://dx.doi.org/10.1016/j.gdata.2015.08.001
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