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pmid:29538313
A Comprehensive Analysis of Argonaute-CLIP Data Identifies Novel, Conserved and Species-Specific Targets of miR-21 in Human Liver and Hepatocellular Carcinoma.
Aaron Balasingam Koenig · Juan Martín Barajas · María Jose Guerrero · Kalpana Ghoshal
International journal of molecular sciences · 2018 doi:10.3390/ijms19030851
Paper
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Experiment
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Data
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Analysis
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Execution
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Complete file
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Methods known as cross-linking and immunoprecipitation of RNA followed by sequencing (CLIP-seq) have enabled transcriptome-wide identification of miRNA interactomes. In our study, we use a publicly available Argonaute-CLIP dataset (GSE97061), which contains nine HCC cases with matched benign livers, to characterize the miR-21 interactome in HCC. Argonaute-CLIP identified 580 miR-21 bound target sites on coding transcripts, of which 332 were located in the coding sequences, 214 in the 3'-untranslated region, and 34 in the 5'-untranslated region, introns, or downstream sequences. We compared the expression of miR-21 targets in 377 patients with liver cancer from the data generated by The Cancer Genome Atlas (TCGA) and found that mRNA levels of 402 miR-21 targets are altered in HCC. Expression of three novel predicted miR-21 targets (CAMSAP1, DDX1 and MARCKSL1) correlated with HCC patient survival. Analysis of RNA-seq data from SK-Hep1 cells treated with a miR-21 antisense oligonucleotide (GSE65892) identified RMND5A, an E3 ubiquitin ligase, as a strong miR-21 candidate target. Collectively, our analysis identified novel miR-21 targets that are likely to play a causal role in hepatocarcinogenesis.", "claims": [{"id": "claim-method", "statement": "Cox proportional hazards models were adjusted for age, sex and tumor grade. The significance of the Cox coefficient was corrected for the false-discovery rate as described [59].", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:29538313", "locator": "sections[14] \"4.3. Statistical Analysis\" paragraph 4", "quote": "Cox proportional hazards models were adjusted for age, sex and tumor grade. 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