In:
PLOS ONE, Public Library of Science (PLoS), Vol. 16, No. 11 ( 2021-11-19), p. e0260119-
Abstract:
High throughput sequencing has previously identified differentially expressed genes (DEGs) and enriched signalling networks in human myometrium for term (≥37 weeks) gestation labour, when defined as a singular state of activity at comparison to the non-labouring state. However, transcriptome changes that occur during transition from early to established labour (defined as ≤3 and 〉 3 cm cervical dilatation, respectively) and potentially altered by fetal membrane rupture (ROM), when adapting from onset to completion of childbirth, remained to be defined. In the present study, we assessed whether differences for these two clinically observable factors of labour are associated with different myometrial transcriptome profiles. Analysis of our tissue (‘bulk’) RNA-seq data (NCBI Gene Expression Omnibus: GSE80172) with classification of labour into four groups, each compared to the same non-labour group, identified more DEGs for early than established labour; ROM was the strongest up-regulator of DEGs. We propose that lower DEGs frequency for early labour and/or ROM negative myometrium was attributed to bulk RNA-seq limitations associated with tissue heterogeneity, as well as the possibility that processes other than gene transcription are of more importance at labour onset. Integrative analysis with future data from additional samples, which have at least equivalent refined clinical classification for labour status, and alternative omics approaches will help to explain what truly contributes to transcriptomic changes that are critical for labour onset. Lastly, we identified five DEGs common to all labour groupings; two of which ( AREG and PER3 ) were validated by qPCR and not differentially expressed in placenta and choriodecidua.
Type of Medium:
Online Resource
ISSN:
1932-6203
DOI:
10.1371/journal.pone.0260119
DOI:
10.1371/journal.pone.0260119.g001
DOI:
10.1371/journal.pone.0260119.g002
DOI:
10.1371/journal.pone.0260119.g003
DOI:
10.1371/journal.pone.0260119.g004
DOI:
10.1371/journal.pone.0260119.g005
DOI:
10.1371/journal.pone.0260119.t001
DOI:
10.1371/journal.pone.0260119.t002
DOI:
10.1371/journal.pone.0260119.t003
DOI:
10.1371/journal.pone.0260119.t004
DOI:
10.1371/journal.pone.0260119.t005
DOI:
10.1371/journal.pone.0260119.t006
DOI:
10.1371/journal.pone.0260119.t007
DOI:
10.1371/journal.pone.0260119.s001
DOI:
10.1371/journal.pone.0260119.s002
DOI:
10.1371/journal.pone.0260119.s003
DOI:
10.1371/journal.pone.0260119.s004
DOI:
10.1371/journal.pone.0260119.s005
DOI:
10.1371/journal.pone.0260119.s006
DOI:
10.1371/journal.pone.0260119.s007
Language:
English
Publisher:
Public Library of Science (PLoS)
Publication Date:
2021
detail.hit.zdb_id:
2267670-3
Permalink