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Cancer Lett ; 371(2): 262-73, 2016 Feb 28.
Article in English | MEDLINE | ID: mdl-26655274

ABSTRACT

Complex epithelial and stromal cell interactions are required during the development and progression of prostate cancer. Regulatory small non-coding microRNAs (miRNAs) participate in the spatiotemporal regulation of messenger RNA (mRNA) and regulation of translation affecting a large number of genes involved in prostate carcinogenesis. In this study, through deep-sequencing of size fractionated small RNA libraries we profiled the miRNAs of prostate epithelial (PrEC) and stromal (PrSC) cells. Over 50 million reads were obtained for PrEC in which 860,468 were unique sequences. Similarly, nearly 76 million reads for PrSC were obtained in which over 1 million were unique reads. Expression of many miRNAs of broadly conserved and poorly conserved miRNA families were identified. Sixteen highly expressed miRNAs with significant change in expression in PrSC than PrEC were further analyzed in silico. ConsensusPathDB showed the target genes of these miRNAs were significantly involved in adherence junction, cell adhesion, EGRF, TGF-ß and androgen signaling. Let-7 family of tumor-suppressor miRNAs expression was highly pervasive in both, PrEC and PrSC cells. In addition, we have also identified several miRNAs that are unique to PrEC or PrSC cells and their predicted putative targets are a group of transcription factors. This study provides perspective on the miRNA expression in PrEC and PrSC, and reveals a global trend in miRNA interactome. We conclude that the most abundant miRNAs are potential regulators of development and differentiation of the prostate gland by targeting a set of growth factors. Additionally, high level expression of the most members of let-7 family miRNAs suggests their role in the fine tuning of the growth and proliferation of prostate epithelial and stromal cells.


Subject(s)
Biomarkers, Tumor/genetics , Epithelial Cells/chemistry , High-Throughput Nucleotide Sequencing , Intercellular Signaling Peptides and Proteins/genetics , MicroRNAs/genetics , Prostate/chemistry , Prostatic Neoplasms/genetics , Sequence Analysis, RNA/methods , Stromal Cells/chemistry , Adolescent , Cell Line , Cluster Analysis , Computational Biology , Databases, Genetic , Gene Expression Regulation, Neoplastic , Gene Regulatory Networks , Humans , Male
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