High-throughput mRNA-seq atlas of human placenta shows vast transcriptome remodeling from first to third trimester
Tania L GonzaleziD, Sahar Wertheimer, Amy E FlowersiD, Yizhou WangiD, Chintda SantiskulvongiD, Ekaterina L ClarkiD, Caroline Anne JefferiesiD, Kate LawrensoniD, Jessica L. ChaniD, Nikhil V. Joshi, Yazhen ZhuiD, Hsian‐Rong TsengiD, S. Ananth KarumanchiiD, John Gordon WilliamsiD, Margareta Danuta PisarskaiD
Abstract
BackgroundThe placenta, composed of chorionic villi, changes dramatically across gestation. Understanding differences in ongoing pregnancies are essential to identify the role of chorionic villi at specific times in gestation and develop biomarkers and prognostic indicators of maternal- fetal health. MethodsThe normative mRNA profile is established using next-generation sequencing of 124 first trimester and 43 third trimester human placentas from ongoing healthy pregnancies. Stably expressed genes not different between trimesters and with low variability are identified. Differential expression analysis of first versus third trimester adjusted for fetal sex is performed, followed by a subanalysis with 23 matched pregnancies to control for subject variability using the same genetic and environmental background. ResultsPlacenta expresses 14,979 mRNAs above sequencing noise (TPM>0.66), with 1,545 stably expressed genes across gestation. Differentially expressed genes account for 86.7% of genes in the full cohort (FDR1.5), there are 6,941 differentially expressed protein coding genes (3,206 upregulated in first and 3,735 upregulated in third trimester). ConclusionThis is the largest mRNA atlas of healthy human placenta across gestation, controlling for genetic and environmental factors, demonstrating substantial changes from first to third trimester in chorionic villi. Specific differences and stably expressed genes may be used to understand the specific role of the chorionic villi throughout gestation and develop first trimester biomarkers of placental health that transpire across gestation, which can be used for future development of biomarkers in maternal-fetal disease.
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