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Multiomics modeling of the immunome, transcriptome, microbiome, proteome and metabolome adaptations during human pregnancy

2018; Oxford University Press; Volume: 35; Issue: 1 Linguagem: Inglês

10.1093/bioinformatics/bty537

1367-4811

Mohammad Sajjad Ghaemi, Daniel B. DiGiulio, Kévin Contrepois, Benjamin J. Callahan, Thuy T. M. Ngo, Brittany Lee‐McMullen, Benoit Lehallier, Anna Robaczewska, David R. McIlwain, Yael Rosenberg‐Hasson, Ronald J. Wong, Cecele C. Quaintance, Anthony Culos, Natalie Stanley, Athena Tanada, Amy S. Tsai, Dyani Gaudillière, Edward A. Ganio, Xiaoyuan Han, Kazuo Ando, Leslie McNeil, Martha Tingle, Paul H. Wise, Ivana Marić, Marina Sirota, Tony Wyss‐Coray, Virginia D. Winn, Maurice L. Druzin, Ronald S. Gibbs, Gary L. Darmstadt, David B. Lewis, Vahid Partovi Nia, Bruno Agard, Robert Tibshirani, Garry P. Nolan, M Snyder, David A. Relman, Stephen R. Quake, Gary M. Shaw, David K. Stevenson, Martin S. Angst, Brice Gaudillière, Nima Aghaeepour,

Birth, Development, and Health

Multiple biological clocks govern a healthy pregnancy. These biological mechanisms produce immunologic, metabolomic, proteomic, genomic and microbiomic adaptations during the course of pregnancy. Modeling the chronology of these adaptations during full-term pregnancy provides the frameworks for future studies examining deviations implicated in pregnancy-related pathologies including preterm birth and preeclampsia.