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Characterization of the Melanoma miRNAome by Deep Sequencing
by
Boyle, Glen M.
, Schmidt, Christopher
, Nancarrow, Derek J.
, Stark, Mitchell S.
, Tyagi, Sonika
, Sturm, Richard A.
, Parsons, Peter G.
, Hayward, Nicholas K.
, Whiteman, David C.
, Cook, Anthony L.
in
Analysis
/ Biomarkers
/ Blood circulation
/ Breast cancer
/ Cell growth
/ Cluster Analysis
/ Dermatology/Skin Cancers, including Melanoma and Lymphoma
/ Disease Progression
/ Fibroblasts
/ Gene expression
/ Gene Library
/ Gene sequencing
/ Genes
/ Genetic disorders
/ Genetics and Genomics/Gene Discovery
/ Genome
/ Genomes
/ Genomics
/ Growth factors
/ Humans
/ Laboratories
/ Medical prognosis
/ Medical research
/ Melanocytes
/ Melanocytes - cytology
/ Melanoma
/ Melanoma - genetics
/ Metastases
/ MicroRNA
/ MicroRNAs
/ MicroRNAs - genetics
/ MicroRNAs - metabolism
/ miRNA
/ Mucosa
/ Multiprocessing
/ Neoplasm Metastasis
/ Oncology/Skin Cancers
/ Pigments
/ R&D
/ Research & development
/ Reverse Transcriptase Polymerase Chain Reaction
/ Ribonucleic acid
/ RNA
/ RNA, Untranslated - genetics
/ Sequence Analysis, RNA
/ Skin cancer
/ Skin Neoplasms - genetics
/ Stem cells
/ Target recognition
2010
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Characterization of the Melanoma miRNAome by Deep Sequencing
by
Boyle, Glen M.
, Schmidt, Christopher
, Nancarrow, Derek J.
, Stark, Mitchell S.
, Tyagi, Sonika
, Sturm, Richard A.
, Parsons, Peter G.
, Hayward, Nicholas K.
, Whiteman, David C.
, Cook, Anthony L.
in
Analysis
/ Biomarkers
/ Blood circulation
/ Breast cancer
/ Cell growth
/ Cluster Analysis
/ Dermatology/Skin Cancers, including Melanoma and Lymphoma
/ Disease Progression
/ Fibroblasts
/ Gene expression
/ Gene Library
/ Gene sequencing
/ Genes
/ Genetic disorders
/ Genetics and Genomics/Gene Discovery
/ Genome
/ Genomes
/ Genomics
/ Growth factors
/ Humans
/ Laboratories
/ Medical prognosis
/ Medical research
/ Melanocytes
/ Melanocytes - cytology
/ Melanoma
/ Melanoma - genetics
/ Metastases
/ MicroRNA
/ MicroRNAs
/ MicroRNAs - genetics
/ MicroRNAs - metabolism
/ miRNA
/ Mucosa
/ Multiprocessing
/ Neoplasm Metastasis
/ Oncology/Skin Cancers
/ Pigments
/ R&D
/ Research & development
/ Reverse Transcriptase Polymerase Chain Reaction
/ Ribonucleic acid
/ RNA
/ RNA, Untranslated - genetics
/ Sequence Analysis, RNA
/ Skin cancer
/ Skin Neoplasms - genetics
/ Stem cells
/ Target recognition
2010
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Characterization of the Melanoma miRNAome by Deep Sequencing
by
Boyle, Glen M.
, Schmidt, Christopher
, Nancarrow, Derek J.
, Stark, Mitchell S.
, Tyagi, Sonika
, Sturm, Richard A.
, Parsons, Peter G.
, Hayward, Nicholas K.
, Whiteman, David C.
, Cook, Anthony L.
in
Analysis
/ Biomarkers
/ Blood circulation
/ Breast cancer
/ Cell growth
/ Cluster Analysis
/ Dermatology/Skin Cancers, including Melanoma and Lymphoma
/ Disease Progression
/ Fibroblasts
/ Gene expression
/ Gene Library
/ Gene sequencing
/ Genes
/ Genetic disorders
/ Genetics and Genomics/Gene Discovery
/ Genome
/ Genomes
/ Genomics
/ Growth factors
/ Humans
/ Laboratories
/ Medical prognosis
/ Medical research
/ Melanocytes
/ Melanocytes - cytology
/ Melanoma
/ Melanoma - genetics
/ Metastases
/ MicroRNA
/ MicroRNAs
/ MicroRNAs - genetics
/ MicroRNAs - metabolism
/ miRNA
/ Mucosa
/ Multiprocessing
/ Neoplasm Metastasis
/ Oncology/Skin Cancers
/ Pigments
/ R&D
/ Research & development
/ Reverse Transcriptase Polymerase Chain Reaction
/ Ribonucleic acid
/ RNA
/ RNA, Untranslated - genetics
/ Sequence Analysis, RNA
/ Skin cancer
/ Skin Neoplasms - genetics
/ Stem cells
/ Target recognition
2010
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Characterization of the Melanoma miRNAome by Deep Sequencing
Journal Article
Characterization of the Melanoma miRNAome by Deep Sequencing
2010
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Overview
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.
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.
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.
Publisher
Public Library of Science,Public Library of Science (PLoS)
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