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Defining trophoblast injury patterns in the transcriptomes of dysfunctional placentas.

Authors :
Barak, Oren
Lovelace, Tyler
Chu, Tianjiao
Cao, Zhishen
Sadovsky, Elena
Mouillet, Jean-Francois
Ouyang, Yingshi
Benos, Panayiotis V.
Sadovsky, Yoel
Source :
Placenta; Nov2023, Vol. 143, p87-90, 4p
Publication Year :
2023

Abstract

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. • We compared RNAseq matrices in cultured trophoblasts and in placental samples. • CIBERSORTx deconvolution method correlated in vitro and in vivo injury patterns. • Correlations were strongest in preeclampsia and fetal growth restriction clusters. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
01434004
Volume :
143
Database :
Supplemental Index
Journal :
Placenta
Publication Type :
Academic Journal
Accession number :
173808948
Full Text :
https://doi.org/10.1016/j.placenta.2023.10.010