{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Trinidad-Barnech JM"],"funding":["Comision Academica de Posgrado (CAP-CSIC-UDELAR)","Programa para el Desarrollo de las Ciencias Básicas (PEDECIBA-MEC, Uruguay)","Comision Academica de Posgrado (CAP-CSIC-UDELAR) and the Agencia Nacional de Investigación e Innovación (ANII)","Comisión Sectorial de Investigación Científica (CSIC-UDELAR, Uruguay)"],"pagination":["15"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9958706"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["9(1)"],"pubmed_abstract":["MicroRNAs are small RNAs that regulate gene expression through complementary base pairing with their target mRNAs. A substantial understanding of microRNA target recognition and repression mechanisms has been reached using diverse empirical and bioinformatic approaches, primarily in vitro biochemical or cell culture perturbation settings. We sought to determine if rules of microRNA target efficacy could be inferred from extensive gene expression data of human tissues. A transcriptome-wide assessment of all the microRNA-mRNA canonical interactions' efficacy was performed using a normalized Spearman correlation (Z-score) between the abundance of the transcripts in the PRAD-TCGA dataset tissues (RNA-seq mRNAs and small RNA-seq for microRNAs, 546 samples). Using the Z-score of correlation as a"],"journal":["Non-coding RNA"],"pubmed_title":["Transcriptome-Wide Analysis of microRNA-mRNA Correlations in Tissue Identifies microRNA Targeting Determinants."],"pmcid":["PMC9958706"],"funding_grant_id":["I+D 2016 #487 and I+D 2020 # 566","Student fellowships for R.S.F. and J.M.T.","Annual Aliquots and Equipment Aid Programs","Student fellowship"],"pubmed_authors":["Trinidad-Barnech JM","Garat B","Duhagon MA","Fort RS","Trinidad Barnech G"],"additional_accession":[]},"is_claimable":false,"name":"Transcriptome-Wide Analysis of microRNA-mRNA Correlations in Tissue Identifies microRNA Targeting Determinants.","description":"MicroRNAs are small RNAs that regulate gene expression through complementary base pairing with their target mRNAs. A substantial understanding of microRNA target recognition and repression mechanisms has been reached using diverse empirical and bioinformatic approaches, primarily in vitro biochemical or cell culture perturbation settings. We sought to determine if rules of microRNA target efficacy could be inferred from extensive gene expression data of human tissues. A transcriptome-wide assessment of all the microRNA-mRNA canonical interactions' efficacy was performed using a normalized Spearman correlation (Z-score) between the abundance of the transcripts in the PRAD-TCGA dataset tissues (RNA-seq mRNAs and small RNA-seq for microRNAs, 546 samples). Using the Z-score of correlation as a","dates":{"release":"2023-01-01T00:00:00Z","publication":"2023 Feb","modification":"2025-04-18T14:21:47.845Z","creation":"2025-04-07T00:29:54.287Z"},"accession":"S-EPMC9958706","cross_references":{"pubmed":["36827548"],"doi":["10.3390/ncrna9010015"]}}