Document Type
Article
Publication Date
1-1-2018
Publication Title
Biology of reproduction
Keywords
Female; Gene Expression Regulation; Gestational Age; Humans; Infant, Newborn; Placenta; Pregnancy; Premature Birth; Term Birth; Transcriptome
Abstract
Preterm birth affects 1 out of every 10 infants in the United States, resulting in substantial neonatal morbidity and mortality. Currently, there are few predictive markers and few treatment options to prevent preterm birth. A healthy, functioning placenta is essential to positive pregnancy outcomes. Previous studies have suggested that placental pathology may play a role in preterm birth etiology. Therefore, we tested the hypothesis that preterm placentae may exhibit unique transcriptomic signatures compared to term samples reflective of their abnormal biology leading to this adverse outcome. We aggregated publicly available placental villous microarray data to generate a preterm and term sample dataset (n = 133, 55 preterm placentae and 78 normal term placentae). We identified differentially expressed genes using the linear regression for microarray (LIMMA) package and identified perturbations in known biological networks using Differential Rank Conservation (DIRAC). We identified 129 significantly differentially expressed genes between term and preterm placenta with 96 genes upregulated and 33 genes downregulated (P-value
Clinical Institute
Women & Children
Department
Perinatology/Neonatology
Department
Institute for Systems Biology
Recommended Citation
Paquette, Alison G; Brockway, Heather M; Price, Nathan D; and Muglia, Louis J, "Comparative transcriptomic analysis of human placentae at term and preterm delivery." (2018). Articles, Abstracts, and Reports. 1435.
https://digitalcommons.providence.org/publications/1435
