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Toward a combinatorial nature of microRNA regulation in human cells.

ABSTRACT: MicroRNAs (miRNAs) negatively regulate the levels of messenger RNA (mRNA) post-transcriptionally. Recent advances in CLIP (cross-linking immunoprecipitation) technology allowed capturing miRNAs with their cognate mRNAs. Consequently, thousands of validated mRNA-miRNA pairs have been revealed. Herein, we present a comprehensive outline for the combinatorial regulation by miRNAs. We implemented combinatorial and statistical constraints in the miRror2.0 algorithm. miRror estimates the likelihood of combinatorial miRNA activity in explaining the observed data. We tested the success of miRror in recovering the correct miRNA from 30 transcriptomic profiles of cells overexpressing a miRNA, and to identify hundreds of genes from miRNA sets, which are observed in CLIP experiments. We show that the success of miRror in recovering the miRNA regulation from overexpression experiments and CLIP data is superior in respect to a dozen leading miRNA-target prediction algorithms. We further described the balance between alternative modes of joint regulation that are executed by pairs of miRNAs. Finally, manipulated cells were tested for the possible involvement of miRNA in shaping their transcriptomes. We identified instances in which the observed transcriptome can be explained by a combinatorial regulation of miRNA pairs. We conclude that the joint operation of miRNAs is an attractive strategy to maintain cell homeostasis and overcoming the low specificity inherent in individual miRNA-mRNA interaction.

SUBMITTER: Balaga O

PROVIDER: S-EPMC3479204 | biostudies-literature | 2012 Oct

REPOSITORIES: biostudies-literature

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Toward a combinatorial nature of microRNA regulation in human cells.

Balaga Ohad O Friedman Yitzhak Y Linial Michal M

Nucleic acids research 20120816 19

MicroRNAs (miRNAs) negatively regulate the levels of messenger RNA (mRNA) post-transcriptionally. Recent advances in CLIP (cross-linking immunoprecipitation) technology allowed capturing miRNAs with their cognate mRNAs. Consequently, thousands of validated mRNA-miRNA pairs have been revealed. Herein, we present a comprehensive outline for the combinatorial regulation by miRNAs. We implemented combinatorial and statistical constraints in the miRror2.0 algorithm. miRror estimates the likelihood of ...[more]

PMID: 22904063

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Project description:The production of a clinically useful engineered cartilage is an outstanding and unmet clinical need. High-throughput RNA sequencing provides a means of characterizing the molecular phenotype of populations of cells and can be leveraged to better understand differences among source cells, derivative engineered tissues, and target phenotypes. In this study, small RNA sequencing is utilized to comprehensively characterize the microRNA transcriptomes (miRNomes) of native human neonatal articular cartilage and human bone marrow-derived mesenchymal stem cells (hBM-MSCs) differentiating into cartilage organoids, contrasting the microRNA regulation of engineered cartilage with that of a promising target phenotype. Five dominant microRNAs are upregulated during cartilage organoid differentiation and disproportionately regulate transcription factors: miR-148a-3p, miR-140-3p, miR-27b-3p, miR-140-5p, and miR-181a-5p. Two microRNAs that dominate the miRNomes of hBM-MSCs, miR-21-5p and miR-143-3p, persist throughout the differentiation process and may limit the ability of these cells to differentiate into an engineered cartilage resembling target native articular cartilage. By using predictive bioinformatics tools and antagomir inhibition, these persistent microRNAs are shown to destabilize the mRNA of genes with known or potential roles in cartilage biology including FGF18, TGFBR2, TET1, STOX2, ARAP2, N4BP2L1, LHX9, NFIA, and RPS6KA5. These results shed light on the extent to which only a few microRNAs contribute to the complex regulatory environment of hBM-MSCs for engineered tissues. Impact statement MicroRNAs are emerging as important controlling elements in the differentiation of human bone marrow-derived mesenchymal stem cells (hBM-MSCs). By using a robust bioinformatic approach and further validation in vitro, here we provide a comprehensive characterization of the microRNA transcriptomes (miRNomes) of a commonly studied and clinically promising source of multipotent cells (hBM-MSCs), a gold standard model of in vitro chondrogenesis (hBM-MSC-derived cartilage organoids), and an attractive in vivo target phenotype for clinically useful engineered cartilage (neonatal articular cartilage). These analyses highlighted a specific set of microRNAs involved in the chondrogenic program that could be manipulated to acquire a more robust articular cartilage-like phenotype. This characterization provides researchers in the cartilage tissue engineering field a useful atlas with which to contextualize microRNA involvement in complex differentiation pathways.

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Toward a combinatorial nature of microRNA regulation in human cells.

Publications

Toward a combinatorial nature of microRNA regulation in human cells.

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