Placental whole genome RNA sequencing dataset of monochorionic diamniotic twin pregnancies with and without selective fetal growth restriction

Published: 11-05-2020| Version 2 | DOI: 10.17632/c35h764nmv.2
Contributors:
Wei Li,
Claire Yik-Lok Chung,
Chi Chiu Wang,
TingFung Chan,
Maran Bo Wah Leung,
Oi Ka Chan,
Ling Wu,
Appiah kubi,
Piya Chaemsaithong,
Yvonne Kwun Yue Cheng,
Liona Poon,
Tak Yeung Leung

Description

To compare placental transcriptomes between selective fetal growth restriction (sFGR) twins and normally grown twins (Control) in monochorionic diamniotic (MCDA) twin pregnancies, placentae from five sFGR and three control twin pairs were collected. Their placental transcriptomes were profiled by high throughput total whole genome RNA sequencing technology, which provides a global and deep examination of gene expression. The log2 ratio of the placental transcriptome expression levels of the smaller twin to that of the larger co-twin were calculated in each twin pair. Results in sFGR pregnancies were compared to that of the control pregnancies. Differentially expressed transcripts identified as the within-pair log expression ratio difference between sFGR and control groups were determined by Mann-Whitney U test. Based on these differentially expressed transcripts, biological pathways and upstream regulators were predicted using the Ingenuity Pathway Analysis (IPA) software. This dataset describes total 1429 differentially expressed placental transcripts, total 126 predicted biological pathways and 419 upstream regulators in sFGR. The data provide further insight in transcriptomic level to the pathomechansim of pregnancies complicated by sFGR. The dataset supports the research article entitled “Monochorionic twins with selective fetal growth restriction: insight from placental whole transcriptome analysis”.

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