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Placental Transcription Profiling in 6-23 Weeks' Gestation Reveals Differential Transcript Usage in Early Development

dc.contributor.authorBogias, Konstantinos J
dc.contributor.authorPederson, Stephen M.
dc.contributor.authorLeemaqz, Shalem
dc.contributor.authorSmith, Melanie D
dc.contributor.authorMcAninch, Dale
dc.contributor.authorJankovic-Karasoulos, Tanja
dc.contributor.authorMcCullough, Dylan
dc.contributor.authorWan, Qianhui
dc.contributor.authorBianco-Miotto, Tina
dc.contributor.authorBreen, James
dc.contributor.authorRoberts, Claire T
dc.date.accessioned2024-05-06T00:09:00Z
dc.date.available2024-05-06T00:09:00Z
dc.date.issued2022
dc.date.updated2023-01-08T07:16:59Z
dc.description.abstractThe human placenta is a rapidly developing transient organ that is key to pregnancy success. Early development of the conceptus occurs in a low oxygen environment before oxygenated maternal blood begins to flow into the placenta at ~10–12 weeks’ gestation. This process is likely to substantially affect overall placental gene expression. Transcript variability underlying gene expression has yet to be profiled. In this study, accurate transcript expression profiles were identified for 84 human placental chorionic villus tissue samples collected across 6–23 weeks’ gestation. Differential gene expression (DGE), differential transcript expression (DTE) and differential transcript usage (DTU) between 6–10 weeks’ and 11–23 weeks’ gestation groups were assessed. In total, 229 genes had significant DTE yet no significant DGE. Integration of DGE and DTE analyses found that differential expression patterns of individual transcripts were commonly masked upon aggregation to the gene-level. Of the 611 genes that exhibited DTU, 534 had no significant DGE or DTE. The four most significant DTU genes ADAM10, VMP1, GPR126, and ASAH1, were associated with hypoxia-responsive pathways. Transcript usage is a likely regulatory mechanism in early placentation. Identification of functional roles will facilitate new insight in understanding the origins of pregnancy complications.en_AU
dc.description.sponsorshipThis research is supported by NIH NICHD R01 HD089685-01 (Maternal molecular profiles reflect placental function and development across gestation) PI Roberts; an Australian Government Research Training Program (RTP) Scholarship awarded to K.J.B.; a National Health and Medical Research Council Investigator Grant (GNT1174971) awarded to C.T.R. and a Matthew Flinders Professorial Fellowship awarded to C.T.R. and funded by Flinders University.en_AU
dc.format.mimetypeapplication/pdfen_AU
dc.identifier.issn1422-0067en_AU
dc.identifier.urihttp://hdl.handle.net/1885/317286
dc.language.isoen_AUen_AU
dc.provenanceThis article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).en_AU
dc.publisherMDPI Publishingen_AU
dc.rights© 2022 by the authors. Licensee MDPI, Basel, Switzerland.en_AU
dc.rights.licenseCreative Commons Attribution 4.0 International Licenseen_AU
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_AU
dc.sourceInternational Journal of Molecular Sciencesen_AU
dc.subjectRNA-seqen_AU
dc.subjecthumanen_AU
dc.subjectplacentaen_AU
dc.subjectdevelopmenten_AU
dc.subjecttranscriptomeen_AU
dc.titlePlacental Transcription Profiling in 6-23 Weeks' Gestation Reveals Differential Transcript Usage in Early Developmenten_AU
dc.typeJournal articleen_AU
dcterms.accessRightsOpen Accessen_AU
local.bibliographicCitation.issue9en_AU
local.bibliographicCitation.lastpage17en_AU
local.bibliographicCitation.startpage1en_AU
local.contributor.affiliationBogias, Konstantinos J, University of Adelaideen_AU
local.contributor.affiliationPederson, Stephen M., University of Adelaideen_AU
local.contributor.affiliationLeemaqz, Shalem, University of Adelaideen_AU
local.contributor.affiliationSmith, Melanie D, Flinders Universityen_AU
local.contributor.affiliationMcAninch, Dale, University of Adelaideen_AU
local.contributor.affiliationJankovic-Karasoulos, Tanja, University of Adelaideen_AU
local.contributor.affiliationMcCullough, Dylan, Flinders Universityen_AU
local.contributor.affiliationWan, Qianhui, Flinders Universityen_AU
local.contributor.affiliationBianco-Miotto, Tina, University of Adelaideen_AU
local.contributor.affiliationBreen, Jimmy, College of Health and Medicine, ANUen_AU
local.contributor.affiliationRoberts, Claire T, University of Adelaideen_AU
local.contributor.authoruidBreen, Jimmy, u5694322en_AU
local.description.notesImported from ARIESen_AU
local.identifier.absfor310202 - Biological network analysisen_AU
local.identifier.absfor321502 - Obstetrics and gynaecologyen_AU
local.identifier.absfor310204 - Genomics and transcriptomicsen_AU
local.identifier.ariespublicationa383154xPUB27396en_AU
local.identifier.citationvolume23en_AU
local.identifier.doi10.3390/ijms23094506en_AU
local.identifier.scopusID2-s2.0-85128261990
local.publisher.urlhttps://www.mdpi.com/en_AU
local.type.statusPublished Versionen_AU

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