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      Genome-wide microRNA expression analysis in human placenta reveals sex-specific patterns: an ENVIR ONAGE birth cohort study

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          ABSTRACT

          There is an increasing interest in microRNAs (miRNAs) as they are of utmost importance in gene regulation at the posttranscriptional level. Sex-related susceptibility for non-communicable diseases later in life could originate in early life. Until now, no data on sex-specific miRNA expression are available for the placenta. Therefore, we investigated the difference by sex of newborn’s miRNA expression in human placental tissue. Within the ENVIR ONAGE birth cohort, miRNA and mRNA expression profiling was performed in 60 placentae (50% boys) using Agilent (8 × 60 K) microarrays. The distribution of chromosome locations was studied and pathway analysis of the identified sex-specific miRNAs in the placenta was carried out. Of the total 2558 miRNAs on the array, 597 miRNAs were expressed in over 70% of the samples and were included for further analyses. A total of 142 miRNAs were significantly (FDR<0.05) associated with the newborn’s sex. In newborn girls, 76 miRNAs had higher expression (hsa-miR-361-5p as most significant) and 66 miRNAs had lower expression (hsa-miR-4646-5p as most significant) than in newborn boys. In the same study population, placental differentially expressed genes by sex were also identified using a whole genome approach. The placental gene expression revealed 27 differentially expressed genes by comparing girls to boys. Ultimately, we studied the miRNA-RNA interactome and identified 14 miRNA–mRNA interactions as sex-specific. Sex differences in placental m(i)RNA expression may reveal sex-specific patterns already present during pregnancy, which may influence physiological conditions in early or later life. These molecular processes might play a role in sex-specific disease susceptibility in later life.

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          Most cited references75

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          miRBase: microRNA sequences, targets and gene nomenclature

          The miRBase database aims to provide integrated interfaces to comprehensive microRNA sequence data, annotation and predicted gene targets. miRBase takes over functionality from the microRNA Registry and fulfils three main roles: the miRBase Registry acts as an independent arbiter of microRNA gene nomenclature, assigning names prior to publication of novel miRNA sequences. miRBase Sequences is the primary online repository for miRNA sequence data and annotation. miRBase Targets is a comprehensive new database of predicted miRNA target genes. miRBase is available at .
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            Fast and effective prediction of microRNA/target duplexes.

            MicroRNAs (miRNAs) are short RNAs that post-transcriptionally regulate the expression of target genes by binding to the target mRNAs. Although a large number of animal miRNAs has been defined, only a few targets are known. In contrast to plant miRNAs, which usually bind nearly perfectly to their targets, animal miRNAs bind less tightly, with a few nucleotides being unbound, thus producing more complex secondary structures of miRNA/target duplexes. Here, we present a program, RNA-hybrid, that predicts multiple potential binding sites of miRNAs in large target RNAs. In general, the program finds the energetically most favorable hybridization sites of a small RNA in a large RNA. Intramolecular hybridizations, that is, base pairings between target nucleotides or between miRNA nucleotides are not allowed. For large targets, the time complexity of the algorithm is linear in the target length, allowing many long targets to be searched in a short time. Statistical significance of predicted targets is assessed with an extreme value statistics of length normalized minimum free energies, a Poisson approximation of multiple binding sites, and the calculation of effective numbers of orthologous targets in comparative studies of multiple organisms. We applied our method to the prediction of Drosophila miRNA targets in 3'UTRs and coding sequence. RNAhybrid, with its accompanying programs RNAcalibrate and RNAeffective, is available for download and as a Web tool on the Bielefeld Bioinformatics Server (http://bibiserv.techfak.uni-bielefeld.de/rnahybrid/). Copyright 2004 RNA Society
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              The fetal and infant origins of adult disease.

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                Author and article information

                Journal
                Epigenetics
                Epigenetics
                Epigenetics
                Taylor & Francis
                1559-2294
                1559-2308
                6 September 2020
                2021
                6 September 2020
                : 16
                : 4
                : 373-388
                Affiliations
                [a ]Center for Environmental Sciences, Hasselt University; , Diepenbeek, Belgium
                [b ]Department of Toxicogenomics, GROW Institute of Oncology and Developmental Biology, Maastricht University; , Maastricht, The Netherlands
                [c ]Department of Public Health, Environment & Health Unit, Leuven University (KU Leuven); , Leuven, Belgium
                Author notes
                CONTACT Tim S. Nawrot tim.nawrot@ 123456uhasselt.be Centre for Environmental Sciences, Molecular & Environmental Epidemiology, Hasselt University; , Diepenbeek3590, Belgium
                Author information
                https://orcid.org/0000-0002-2488-4918
                https://orcid.org/0000-0002-1353-0292
                Article
                1803467
                10.1080/15592294.2020.1803467
                7993149
                32892695
                4adba445-e177-41ad-aae3-1955d83038d4
                © 2020 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License ( http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way.

                History
                Page count
                Figures: 3, Tables: 6, References: 84, Pages: 16
                Categories
                Research Article
                Research Paper

                Genetics
                placenta,m(icro)rna array,sex-related differences
                Genetics
                placenta, m(icro)rna array, sex-related differences

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