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Characterization of the Melanoma miRNAome by Deep Sequencing
Citation
Stark, MS and Tyagi, S and Nancarrow, DJ and Boyle, GM and Cook, AL and Whiteman, DC and Parsons, PG and Schmidt, C and Sturm, RA and Hayward, NK, Characterization of the Melanoma miRNAome by Deep Sequencing, PLoS One, 5:e9685, (3) ISSN 1932-6203 (2010) [Refereed Article]
DOI: doi:10.1371/journal.pone.0009685
Abstract
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. © 2010 Stark et al.
Item Details
Item Type: | Refereed Article |
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Research Division: | Biomedical and Clinical Sciences |
Research Group: | Oncology and carcinogenesis |
Research Field: | Cancer genetics |
Objective Division: | Health |
Objective Group: | Clinical health |
Objective Field: | Clinical health not elsewhere classified |
UTAS Author: | Cook, AL (Associate Professor Tony Cook) |
ID Code: | 68770 |
Year Published: | 2010 |
Web of Science® Times Cited: | 153 |
Deposited By: | Health Sciences A |
Deposited On: | 2011-03-21 |
Last Modified: | 2011-03-21 |
Downloads: | 0 |
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