Defining trophoblast injury patterns in the transcriptomes of dysfunctional placentas.
Apoptosis
CIBERSORTx
Ferroptosis
Placenta
Trophoblast
Journal
Placenta
ISSN: 1532-3102
Titre abrégé: Placenta
Pays: Netherlands
ID NLM: 8006349
Informations de publication
Date de publication:
Nov 2023
Nov 2023
Historique:
received:
29
08
2023
revised:
03
10
2023
accepted:
16
10
2023
medline:
27
11
2023
pubmed:
23
10
2023
entrez:
22
10
2023
Statut:
ppublish
Résumé
Trophoblast injury is central to clinically relevant placenta dysfunction. We hypothesized that the mRNA of primary human trophoblasts, exposed to distinct injuries in vitro, capture transcriptome patterns of placental biopsies obtained from common obstetrical syndromes. We deployed a CIBERSORTx deconvolution method to correlate trophoblastic RNAseq-based expression matrices with the transcriptome of omics-defined placental dysfunction patterns in vivo. We found distinct trophoblast injury patterns in placental biopsies from women with fetal growth restriction and a hypertensive disorder, or in biopsies clustered by their omics analysis. Our RNAseq data are useful for defining the contribution of trophoblast injuries to placental dysfunction syndromes.
Identifiants
pubmed: 37866321
pii: S0143-4004(23)00583-0
doi: 10.1016/j.placenta.2023.10.010
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
87-90Subventions
Organisme : NIDDK NIH HHS
ID : R01 DK130294
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL157879
Pays : United States
Informations de copyright
Copyright © 2023 Elsevier Ltd. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of competing interest The authors certify that there are no financial interests that influence the results and findings obtained through this study. As stated on the title page, Yoel Sadovsky is a consultant to Bio-Rad Laboratories, Inc.