RNA-sequencing analysis of umbilical cord plasma microRNAs from healthy newborns

DC FieldValueLanguage
dc.contributor.authorBrennan, Gary P.-
dc.contributor.authorVitsios, Dimitrios M.-
dc.contributor.authorCasey, Sophie-
dc.contributor.authorMooney, Catherine-
dc.contributor.authoret al.-
dc.date.accessioned2019-05-27T09:28:08Z-
dc.date.available2019-05-27T09:28:08Z-
dc.date.copyright2018 the Authorsen_US
dc.date.issued2018-12-03-
dc.identifier.citationPLOS ONEen_US
dc.identifier.urihttp://hdl.handle.net/10197/10661-
dc.description.abstractMicroRNAs are a class of small non-coding RNA that regulate gene expression at a post-transcriptional level. MicroRNAs have been identified in various body fluids under normal conditions and their stability as well as their dysregulation in disease has led to ongoing interest in their diagnostic and prognostic potential. Circulating microRNAs may be valuable predictors of early-life complications such as birth asphyxia or neonatal seizures but there are relatively few data on microRNA content in plasma from healthy babies. Here we performed small RNA-sequencing analysis of plasma processed from umbilical cord blood in a set of healthy newborns. MicroRNA levels in umbilical cord plasma of four male and four female healthy babies, from two different centres were profiled. A total of 1,004 individual microRNAs were identified, which ranged from 426 to 659 per sample, of which 269 microRNAs were common to all eight samples. Many of these microRNAs are highly expressed and consistent with previous studies using other high throughput platforms. While overall microRNA expression did not differ between male and female cord blood plasma, we did detect differentially edited microRNAs in female plasma compared to male. Of note, and consistent with other studies of this type, adenylation and uridylation were the two most prominent forms of editing. Six microRNAs, miR-128-3p, miR-29a-3p, miR-9-5p, miR-218-5p, 204-5p and miR-132-3p were consistently both uridylated and adenylated in female cord blood plasma. These results provide a benchmark for microRNA profiling and biomarker discovery using umbilical cord plasma and can be used as comparative data for future biomarker profiles from complicated births or those with early-life developmental disorders.en_US
dc.description.sponsorshipEuropean Commission Horizon 2020en_US
dc.description.sponsorshipEuropean Commission - European Regional Development Funden_US
dc.description.sponsorshipIrish Research Councilen_US
dc.description.sponsorshipScience Foundation Irelanden_US
dc.language.isoenen_US
dc.publisherPLoSen_US
dc.rights© 2018 Brennan et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.en_US
dc.subjectMicroRNAsen_US
dc.subjectBlood plasmaen_US
dc.subjectUmbilical corden_US
dc.subjectBiomarkersen_US
dc.subjectPregnancyen_US
dc.subjectRNA editingen_US
dc.subjectInfantsen_US
dc.subjectPreeclampsiaen_US
dc.titleRNA-sequencing analysis of umbilical cord plasma microRNAs from healthy newbornsen_US
dc.typeJournal Articleen_US
dc.internal.authorcontactothercatherine.mooney@ucd.ieen_US
dc.statusPeer revieweden_US
dc.identifier.volume13en_US
dc.identifier.issue12en_US
dc.identifier.startpagee0207952en_US
dc.identifier.doi10.1371/journal.pone.0207952-
dc.neeo.contributorBrennan|Gary P.|aut|-
dc.neeo.contributorVitsios|Dimitrios M.|aut|-
dc.neeo.contributorCasey|Sophie|aut|-
dc.neeo.contributorMooney|Catherine|aut|-
dc.neeo.contributoret al.||aut|-
dc.description.othersponsorshipFutureNeuroen_US
dc.description.othersponsorshipINFANT industry partnersen_US
dc.description.othersponsorshipRoyal College of Surgeons in Ireland seed fund (“PLASMIR-Dx”)en_US
dc.description.othersponsorshipIrish Research Council Epilepsy Ireland/Medical Research Charities Groupen_US
dc.description.othersponsorshipEMBL core fundingen_US
dc.description.othersponsorshipHRB Clinician Scientist Award CSA 2012/40en_US
dc.date.updated2018-12-06T15:57:36Z-
dc.identifier.grantid16/RC/3948-
dc.identifier.grantidSFI/12/RC/2272-
dc.identifier.grantidSFI/16/RC/3948-
dc.identifier.grantidSFI/13/IA/1891-
dc.identifier.grantidSFI/12/COEN/18-
dc.identifier.grantidSFI/14/ADV/RC2721-
dc.identifier.grantid707530-
dc.identifier.grantidHRB Clinician Scientist Award CSA 2012/40-
item.grantfulltextopen-
item.fulltextWith Fulltext-
Appears in Collections:Computer Science Research Collection
Files in This Item:
File Description SizeFormat 
Brennan_2018.pdf2.33 MBAdobe PDFDownload
Show simple item record

Page view(s)

249
Last Week
5
Last month
checked on Jan 28, 2020

Download(s)

98
checked on Jan 28, 2020

Google ScholarTM

Check

Altmetric


This item is available under the Attribution-NonCommercial-NoDerivs 3.0 Ireland. No item may be reproduced for commercial purposes. For other possible restrictions on use please refer to the publisher's URL where this is made available, or to notes contained in the item itself. Other terms may apply.