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Whole-transcriptome analysis delineates the human placenta gene network and its associations with fetal growth
BACKGROUND: The 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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5502484/ https://www.ncbi.nlm.nih.gov/pubmed/28693416 http://dx.doi.org/10.1186/s12864-017-3878-0 |
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author | Deyssenroth, Maya A. Peng, Shouneng Hao, Ke Lambertini, Luca Marsit, Carmen J. Chen, Jia |
author_facet | Deyssenroth, Maya A. Peng, Shouneng Hao, Ke Lambertini, Luca Marsit, Carmen J. Chen, Jia |
author_sort | Deyssenroth, Maya A. |
collection | PubMed |
description | BACKGROUND: The 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. RESULTS: We 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. CONCLUSIONS: In 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-017-3878-0) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5502484 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-55024842017-07-12 Whole-transcriptome analysis delineates the human placenta gene network and its associations with fetal growth Deyssenroth, Maya A. Peng, Shouneng Hao, Ke Lambertini, Luca Marsit, Carmen J. Chen, Jia BMC Genomics Research Article BACKGROUND: The 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. RESULTS: We 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. CONCLUSIONS: In 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-017-3878-0) contains supplementary material, which is available to authorized users. BioMed Central 2017-07-10 /pmc/articles/PMC5502484/ /pubmed/28693416 http://dx.doi.org/10.1186/s12864-017-3878-0 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Deyssenroth, Maya A. Peng, Shouneng Hao, Ke Lambertini, Luca Marsit, Carmen J. Chen, Jia Whole-transcriptome analysis delineates the human placenta gene network and its associations with fetal growth |
title | Whole-transcriptome analysis delineates the human placenta gene network and its associations with fetal growth |
title_full | Whole-transcriptome analysis delineates the human placenta gene network and its associations with fetal growth |
title_fullStr | Whole-transcriptome analysis delineates the human placenta gene network and its associations with fetal growth |
title_full_unstemmed | Whole-transcriptome analysis delineates the human placenta gene network and its associations with fetal growth |
title_short | Whole-transcriptome analysis delineates the human placenta gene network and its associations with fetal growth |
title_sort | whole-transcriptome analysis delineates the human placenta gene network and its associations with fetal growth |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5502484/ https://www.ncbi.nlm.nih.gov/pubmed/28693416 http://dx.doi.org/10.1186/s12864-017-3878-0 |
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