Placental Transcription Profiling in 6-23 Weeks' Gestation Reveals Differential Transcript Usage in Early Development
| dc.contributor.author | Bogias, Konstantinos J | |
| dc.contributor.author | Pederson, Stephen M. | |
| dc.contributor.author | Leemaqz, Shalem | |
| dc.contributor.author | Smith, Melanie D | |
| dc.contributor.author | McAninch, Dale | |
| dc.contributor.author | Jankovic-Karasoulos, Tanja | |
| dc.contributor.author | McCullough, Dylan | |
| dc.contributor.author | Wan, Qianhui | |
| dc.contributor.author | Bianco-Miotto, Tina | |
| dc.contributor.author | Breen, James | |
| dc.contributor.author | Roberts, Claire T | |
| dc.date.accessioned | 2024-05-06T00:09:00Z | |
| dc.date.available | 2024-05-06T00:09:00Z | |
| dc.date.issued | 2022 | |
| dc.date.updated | 2023-01-08T07:16:59Z | |
| dc.description.abstract | The 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.sponsorship | This 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.mimetype | application/pdf | en_AU |
| dc.identifier.issn | 1422-0067 | en_AU |
| dc.identifier.uri | http://hdl.handle.net/1885/317286 | |
| dc.language.iso | en_AU | en_AU |
| dc.provenance | This 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.publisher | MDPI Publishing | en_AU |
| dc.rights | © 2022 by the authors. Licensee MDPI, Basel, Switzerland. | en_AU |
| dc.rights.license | Creative Commons Attribution 4.0 International License | en_AU |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en_AU |
| dc.source | International Journal of Molecular Sciences | en_AU |
| dc.subject | RNA-seq | en_AU |
| dc.subject | human | en_AU |
| dc.subject | placenta | en_AU |
| dc.subject | development | en_AU |
| dc.subject | transcriptome | en_AU |
| dc.title | Placental Transcription Profiling in 6-23 Weeks' Gestation Reveals Differential Transcript Usage in Early Development | en_AU |
| dc.type | Journal article | en_AU |
| dcterms.accessRights | Open Access | en_AU |
| local.bibliographicCitation.issue | 9 | en_AU |
| local.bibliographicCitation.lastpage | 17 | en_AU |
| local.bibliographicCitation.startpage | 1 | en_AU |
| local.contributor.affiliation | Bogias, Konstantinos J, University of Adelaide | en_AU |
| local.contributor.affiliation | Pederson, Stephen M., University of Adelaide | en_AU |
| local.contributor.affiliation | Leemaqz, Shalem, University of Adelaide | en_AU |
| local.contributor.affiliation | Smith, Melanie D, Flinders University | en_AU |
| local.contributor.affiliation | McAninch, Dale, University of Adelaide | en_AU |
| local.contributor.affiliation | Jankovic-Karasoulos, Tanja, University of Adelaide | en_AU |
| local.contributor.affiliation | McCullough, Dylan, Flinders University | en_AU |
| local.contributor.affiliation | Wan, Qianhui, Flinders University | en_AU |
| local.contributor.affiliation | Bianco-Miotto, Tina, University of Adelaide | en_AU |
| local.contributor.affiliation | Breen, Jimmy, College of Health and Medicine, ANU | en_AU |
| local.contributor.affiliation | Roberts, Claire T, University of Adelaide | en_AU |
| local.contributor.authoruid | Breen, Jimmy, u5694322 | en_AU |
| local.description.notes | Imported from ARIES | en_AU |
| local.identifier.absfor | 310202 - Biological network analysis | en_AU |
| local.identifier.absfor | 321502 - Obstetrics and gynaecology | en_AU |
| local.identifier.absfor | 310204 - Genomics and transcriptomics | en_AU |
| local.identifier.ariespublication | a383154xPUB27396 | en_AU |
| local.identifier.citationvolume | 23 | en_AU |
| local.identifier.doi | 10.3390/ijms23094506 | en_AU |
| local.identifier.scopusID | 2-s2.0-85128261990 | |
| local.publisher.url | https://www.mdpi.com/ | en_AU |
| local.type.status | Published Version | en_AU |
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