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Validation of human microRNA target pathways enables evaluation of target prediction tools [mRNA]

ABSTRACT: MicroRNAs are regulators of gene expression. A wide-spread, yet not validated, assumption is that the targetome of miRNAs is non-randomly distributed across the transcriptome but that targets share functional pathways. We developed a computational and experimental strategy termed high-throughput miRNA interaction reporter assay (HiTmIR) to facilitate the validation of target pathways. First, targets and target pathways are predicted and prioritized by computational means to increase the specificity and positive predictive value. Second, the novel webtool MIRTAH facilitates guided designs of reporter assay constructs at scale. Third, automated and standardized reporter assays are performed. We evaluated HiTmIR using miR-34a-5p, for which TNF- and TGFB-signaling, and Parkinson’s Disease (PD)-related categories were identified and repeated the pipeline for miR-7-5p. HiTmIR validated 58.9% of the target genes for miR-34a-5p and 46.7% for miR-7-5p. We confirmed the targeting by measuring the endogenous protein levels of targets in a neuronal cell model. The standardized positive and negative targets are collected in the new miRATBase database, representing a resource for training, or benchmarking new target predictors. Applied to 88 target predictors with different confidence scores, TargetScan 7.2 and miRanda outperformed other tools. Our experiments demonstrate the efficiency of HiTmIR and provide evidence for an orchestrated miRNA-gene targeting.

ORGANISM(S): Homo sapiens

PROVIDER: GSE135150 | GEO | 2020/11/13

REPOSITORIES: GEO

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Project description:Diabetic foot ulcers (DFUs) are one of the major complications of diabetes. Its molecular pathology remains poorly understood, impeding the development of effective treatments. Although it has been established that multiple cell types, including fibroblasts, keratinocytes, macrophages and endothelial cells, all contribute to inhibition of healing, less is known regarding individual contributions of each cell type. Thus, we generated primary fibroblasts from non-healing DFUs and evaluated their cellular and molecular properties in comparison to non-diabetic foot fibroblasts (NFFs). Specifically, we analyzed both micro-RNA and mRNA expression profiles of primary DFU fibroblasts. These paired genomic analyses identified a total of 331 reciprocal miRNA-mRNA pairs (21 miRNAs (FC>2.0) along with 239 predicted target genes (FC>1.5) that are significantly and differentially expressed. Of these, we focused on three miRNAs (miR-21-5p, miR-34a-5p, miR-145-5p) found to be induced in DFU fibroblasts as most differentially regulated. Their involvement in cellular functions important for wound healing was investigated by testing the expression of their downstream targets as well as by quantifying cellular behaviors in a prospectively collected and generated cell lines from 15 patients (7 DFUF and 8 NFF samples). We found large number of downstream targets of miR-21-5p, miR-34a-5p, miR-145-5p to be coordinately regulated in mRNA profiles, which was confirmed by qPCR. Genomic analysis of miR-21-5p, miR-34a-5p, miR-145-5p and their target genes indicates that these are contributing to the inhibition of cell movement and cell proliferation, together with increased cell differentiation and senescence in DFU fibroblasts, which was confirmed by cellular assays. We conclude that induction of miR-21-5p, miR-34a-5p, miR-145-5p in DFU dermal fibroblasts plays an important role in impairing multiple cellular functions, thus contributing to overall inhibition of healing in DFUs.

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Validation of human microRNA target pathways enables evaluation of target prediction tools [mRNA]

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