ArticleBMC genomics2017
Whole-transcriptome analysis delineates the human placenta gene network and its associations with fetal growth.
Article in BMC genomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 2 of them syntheses that pooled it.
What it found
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Who cites it
46 citing papers in PubMed, 2 syntheses or guidelines pooled it, 69 citations in OpenAlex.
- Placental DNA methylation signatures of maternal smoking during pregnancy and potential impacts on fetal growth.Nature communications · 2021Pooled it
- Current approaches and developments in transcript profiling of the human placenta.Human reproduction update · 2020Pooled it
- Co-Expression Network Analyses Reveal Long Non-Coding RNA Programs Associated with Trophoblast Development and Response to Zika Virus Infection in Twins Discordant for Congenital Zika Syndrome.International journal of molecular sciences · 2026Article
- Natural variation in transplacental transfer efficiency exposes distinct transcriptional network architectures of PFAS effects on birth weight and gestational age.bioRxiv : the preprint server for biology · 2026Article
- Article
- Placental proteomic signatures of preterm birth, gestational age, and birthweight.BMC pregnancy and childbirth · 2025Article
- Sex-dependent relationships between PFAS and placental transcriptomics identified by weighted gene co-expression analysis.Environmental research · 2025Article
- Air Pollution Exposure and Birth Weight in the ECHO Cohort.JAMA network open · 2025Article
- The placenta as a window into neonatal brain injury.Seminars in perinatology · 2025Review
- Extracellular Vesicles Alter Trophoblast Function in Pregnancies Complicated by COVID-19.Journal of extracellular vesicles · 2025Article
- Epigenetic landscape of 5-hydroxymethylcytosine and associations with gene expression in placenta.Epigenetics · 2024Article
- DDX3X syndrome: From clinical phenotypes to biological insights.Journal of neurochemistry · 2024Review
- The long non-coding RPPH1 is decreased in leukocytes and increased in plasma from women developing pre-eclampsia†.Biology of reproduction · 2024Article
- A genome scale transcriptional regulatory model of the human placenta.Science advances · 2024Article
- Epigenetic Responses to Nonchemical Stressors: Potential Molecular Links to Perinatal Health Outcomes.Current environmental health reports · 2024Review
- Associations between placental hydroxymethylation and birthweight.Epigenetics reports · 2024Article
- Associations of prenatal exposure to NOPlacenta · 2023Article
- Associations between prenatal organophosphate pesticide exposure and placental gene networks.Environmental research · 2023Article
- SLC20a1/PiT-1 is required for chorioallantoic placental morphogenesis.Vascular biology (Bristol, England) · 2023Article
- Monosomy X in isogenic human iPSC-derived trophoblast model impacts expression modules preserved in human placenta.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundThe placenta is the principal organ regulating intrauterine growth and development, performing critical functions on behalf of the developing fetus. The delineation of functional networks and pathways driving placental processes has the potential to provide key insight into intrauterine perturbations that result in adverse birth as well as later life health outcomes.
resultsWe generated the transcriptome-wide profile of 200 term human placenta using the Illumina HiSeq 2500 platform and characterized the functional placental gene network using weighted gene coexpression network analysis (WGCNA). We identified 17 placental coexpression network modules that were dominated by functional processes including growth, organ development, gas exchange and immune response. Five network modules, enriched for processes including cellular respiration, amino acid transport, hormone signaling, histone modifications and gene expression, were associated with birth weight; hub genes of all five modules (CREB3, DDX3X, DNAJC14, GRHL1 and C21orf91) were significantly associated with fetal growth restriction, and one hub gene (CREB3) was additionally associated with fetal overgrowth.
conclusionsIn this largest RNA-Seq based transcriptome-wide profiling study of human term placenta conducted to date, we delineated a placental gene network with functional relevance to fetal growth using a network-based approach with superior scale reduction capacity. Our study findings not only implicate potential molecular mechanisms underlying fetal growth but also provide a reference placenta gene network to inform future studies investigating placental dysfunction as a route to future disease endpoints.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.