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Characterization of the melanoma miRNAome by deep sequencing

ABSTRACT: MicroRNAs 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 GAII platform. This massively parallel sequencing approach revealed a total of 539 known mature and mature-star sequences, along with the prediction of 389 novel miRNA candidates. Using the relative proportion of the total unique read counts against total number of reads, hierarchal clustering of all novel candidates plus known miRNAs gave good separation of the different histological subtypes. Some of the novel miRNAs may be specific to the melanocytic lineage and as such could be used as biomarkers to assist in the early detection of distant metastasises by measuring the circulating levels in blood. Follow up studies of the functional roles of these pigment cell miRNAs and the identification of their targets should shed further light on their role in the development and progression of melanoma.

ORGANISM(S): Homo sapiens

PROVIDER: GSE18381 | GEO | 2010/03/22

SECONDARY ACCESSION(S): PRJNA118057

REPOSITORIES: GEO

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Project description:Purpose: Next-generation sequencing technologies allow miRNA detection at an unprecedented sensitivity.Early- to mid-gestational fetal mammalian skin wounds heal rapidly and without scarring. The goals of this study are to obtain the differently expressed miRNAs between late- and mid-gestational fetal Keratinocytes for further studies. Methods: Keratinocytes were obtained from six fetal skin samples dividied into two groups: a mid-gestation group and a late-gestation group. RNA extracted from Keratinocytes was used to prepare a small RNA library for next-generation sequencing (NGS) using an Illumina Genome Analyzer IIx. To uncover potentially novel microRNA (miRNAs), the mirTools 2.0 web server was used to identify candidate novel human miRNAs from the NGS data.UCSC Genome Browser and the Vienna RNAfold web server were used to further validate the novel miRNA candidates. The repeatability of the expression levels detected by NGS was confirmed by real-time quantitative RT-PCR. Results: Using an optimized data analysis workflow, we detected a total of 99,354,224 raw reads from the six samples, 85,252,341 (85.81%) were high-quality reads (≥ 18nt). After alignment to the human genome (GRCH38), the number of genome-aligned reads was 74,678,115 (87.60% of the high-quality reads). The number of sequence reads that correspond to known miRNAs was 61,587,749 (82.47% of the genome-matching reads), as was determined by perfect sequence matching to the database of known miRNAs (miRBase release 18). After removing the matched non-coding RNAs (Release 10), 8,755,258 reads remained for identification of novel miRNA candidates by mirTools 2.0. The results revealed the existence of 202 novel miRNA candidates and 29 known miRNAs that were not listed in miRBase release 18. Of the 202 potential novel miRNAs, 106 candidates were detected by at least 10 counts, by NGS, indicating that they have a higher probability of being novel human miRNAs. Using Student's t-test, 173 known miRNAs and 23 novel miRNA candidates were found to be statistically significant (P values < 0.05). The expression of 22 novel miRNA candidates and 88 known miRNAs was changed by more than 2.0-fold (known: 15 up-regulated and 73 down-regulated; novel: two up-regulated and 20 down-regulated). Conclusions: Our study represents the first detailed analysis of human miRNAs in fetal Keratinocytes. Using mirTools 2.0 web server, we have revealed the existence of 202 novel miRNA candidates. Of the 202 potential novel miRNAs, 106 candidates were detected by at least 10 counts, by NGS, indicating that they have a higher probability of being novel human miRNAs. Taken together, our results provide compelling evidence that dynamic expression of miRNAs in fetal Keratinocytes at different gestational ages. MiRNAs presenting altered expression at different gestational ages in fetal Keratinocytes may contribute to scarless wound healing in early- to mid-gestational fetal Keratinocytes, and thus may be new targets for potential scar prevention and reduction therapies.

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Characterization of the melanoma miRNAome by deep sequencing

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