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Characterization of the Melanoma miRNAome by Deep Sequencing
BACKGROUND: MicroRNAs (miRNAs) are 18–23 nucleotide non-coding RNAs that regulate gene expression in a sequence specific manner. Little is known about the repertoire and function of miRNAs in melanoma or the melanocytic lineage. We therefore undertook a comprehensive analysis of the miRNAome in a di...
Autores principales: | , , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
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Public Library of Science
2010
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2837346/ https://www.ncbi.nlm.nih.gov/pubmed/20300190 http://dx.doi.org/10.1371/journal.pone.0009685 |
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author | Stark, Mitchell S. Tyagi, Sonika Nancarrow, Derek J. Boyle, Glen M. Cook, Anthony L. Whiteman, David C. Parsons, Peter G. Schmidt, Christopher Sturm, Richard A. Hayward, Nicholas K. |
author_facet | Stark, Mitchell S. Tyagi, Sonika Nancarrow, Derek J. Boyle, Glen M. Cook, Anthony L. Whiteman, David C. Parsons, Peter G. Schmidt, Christopher Sturm, Richard A. Hayward, Nicholas K. |
author_sort | Stark, Mitchell S. |
collection | PubMed |
description | BACKGROUND: MicroRNAs (miRNAs) are 18–23 nucleotide non-coding RNAs that regulate gene expression in a sequence specific manner. Little is known about the repertoire and function of miRNAs in melanoma or the melanocytic lineage. We therefore undertook a comprehensive analysis of the miRNAome in a diverse range of pigment cells including: melanoblasts, melanocytes, congenital nevocytes, acral, mucosal, cutaneous and uveal melanoma cells. METHODOLOGY/PRINCIPAL FINDINGS: We sequenced 12 small RNA libraries using Illumina's Genome Analyzer II platform. This massively parallel sequencing approach of a diverse set of melanoma and pigment cell libraries revealed a total of 539 known mature and mature-star sequences, along with the prediction of 279 novel miRNA candidates, of which 109 were common to 2 or more libraries and 3 were present in all libraries. CONCLUSIONS/SIGNIFICANCE: Some of the novel candidate miRNAs may be specific to the melanocytic lineage and as such could be used as biomarkers to assist in the early detection of distant metastases by measuring the circulating levels in blood. Follow up studies of the functional roles of these pigment cell miRNAs and the identification of the targets should shed further light on the development and progression of melanoma. |
format | Text |
id | pubmed-2837346 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-28373462010-03-17 Characterization of the Melanoma miRNAome by Deep Sequencing Stark, Mitchell S. Tyagi, Sonika Nancarrow, Derek J. Boyle, Glen M. Cook, Anthony L. Whiteman, David C. Parsons, Peter G. Schmidt, Christopher Sturm, Richard A. Hayward, Nicholas K. PLoS One Research Article BACKGROUND: MicroRNAs (miRNAs) are 18–23 nucleotide non-coding RNAs that regulate gene expression in a sequence specific manner. Little is known about the repertoire and function of miRNAs in melanoma or the melanocytic lineage. We therefore undertook a comprehensive analysis of the miRNAome in a diverse range of pigment cells including: melanoblasts, melanocytes, congenital nevocytes, acral, mucosal, cutaneous and uveal melanoma cells. METHODOLOGY/PRINCIPAL FINDINGS: We sequenced 12 small RNA libraries using Illumina's Genome Analyzer II platform. This massively parallel sequencing approach of a diverse set of melanoma and pigment cell libraries revealed a total of 539 known mature and mature-star sequences, along with the prediction of 279 novel miRNA candidates, of which 109 were common to 2 or more libraries and 3 were present in all libraries. CONCLUSIONS/SIGNIFICANCE: Some of the novel candidate miRNAs may be specific to the melanocytic lineage and as such could be used as biomarkers to assist in the early detection of distant metastases by measuring the circulating levels in blood. Follow up studies of the functional roles of these pigment cell miRNAs and the identification of the targets should shed further light on the development and progression of melanoma. Public Library of Science 2010-03-12 /pmc/articles/PMC2837346/ /pubmed/20300190 http://dx.doi.org/10.1371/journal.pone.0009685 Text en Stark et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Stark, Mitchell S. Tyagi, Sonika Nancarrow, Derek J. Boyle, Glen M. Cook, Anthony L. Whiteman, David C. Parsons, Peter G. Schmidt, Christopher Sturm, Richard A. Hayward, Nicholas K. Characterization of the Melanoma miRNAome by Deep Sequencing |
title | Characterization of the Melanoma miRNAome by Deep Sequencing |
title_full | Characterization of the Melanoma miRNAome by Deep Sequencing |
title_fullStr | Characterization of the Melanoma miRNAome by Deep Sequencing |
title_full_unstemmed | Characterization of the Melanoma miRNAome by Deep Sequencing |
title_short | Characterization of the Melanoma miRNAome by Deep Sequencing |
title_sort | characterization of the melanoma mirnaome by deep sequencing |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2837346/ https://www.ncbi.nlm.nih.gov/pubmed/20300190 http://dx.doi.org/10.1371/journal.pone.0009685 |
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