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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2015
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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. |
format | Online Article Text |
id | pubmed-4664671 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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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