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Whole-transcriptome sequencing uncovers core regulatory modules and gene signatures of human fetal growth restriction

BACKGROUND: Fetal growth restriction (FGR) contributes the primary cause of perinatal mortality and morbidity with impacts on the long-term health. To determine the core gene expression network and gene signatures, which in combination with ultrasound confirmation will more effectively differentiate...

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Autores principales: Wang, Guiying, Yu, Jun, Yang, Yiwei, Liu, Xiaoqin, Zhao, Xiaobo, Guo, Xudong, Duan, Tao, Lu, Chenqi, Kang, Jiuhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6987274/
https://www.ncbi.nlm.nih.gov/pubmed/31993806
http://dx.doi.org/10.1186/s40169-020-0259-0
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author Wang, Guiying
Yu, Jun
Yang, Yiwei
Liu, Xiaoqin
Zhao, Xiaobo
Guo, Xudong
Duan, Tao
Lu, Chenqi
Kang, Jiuhong
author_facet Wang, Guiying
Yu, Jun
Yang, Yiwei
Liu, Xiaoqin
Zhao, Xiaobo
Guo, Xudong
Duan, Tao
Lu, Chenqi
Kang, Jiuhong
author_sort Wang, Guiying
collection PubMed
description BACKGROUND: Fetal growth restriction (FGR) contributes the primary cause of perinatal mortality and morbidity with impacts on the long-term health. To determine the core gene expression network and gene signatures, which in combination with ultrasound confirmation will more effectively differentiate constitutionally normal small for gestational age and pathological FGR groups, we performed RNA sequencing for protein-coding genes, lncRNAs, and small RNAs in a case–control study of umbilical cord blood. RESULTS: Five pairs of FGR case and control umbilical cord blood samples were used for RNA sequencing and weighted gene co-expression network analysis (WGCNA). Results showed that 339 mRNAs, 295 lncRNAs, and 13 miRNAs were significantly differentially expressed between FGR cases and controls. Bioinformatics analysis indicated that these differentially expressed molecules were mainly involved in metabolism, neural, cardiac, and immune systems, and identified 18 WGCNA modules for FGR. Further quantitative verification was performed using umbilical cord blood and maternal peripheral blood from 12 pairs of FGR cases and controls. The logistic regression and receiver operating characteristic curve indicated that RP11_552M6.1, LINC01291, and Asgr1 in umbilical cord blood, while Sfrp2, miR-432-5p, and miR-1306-3p in maternal peripheral blood had potential significance for FGR. CONCLUSIONS: We comprehensively profiled the whole-transcriptome landscape of human umbilical cord blood with FGR, constructed the core WGCNA modules, and delineated the critical gene signatures of FGR. These findings provide key insight into intrauterine perturbations and candidate signatures for FGR.
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spelling pubmed-69872742020-02-11 Whole-transcriptome sequencing uncovers core regulatory modules and gene signatures of human fetal growth restriction Wang, Guiying Yu, Jun Yang, Yiwei Liu, Xiaoqin Zhao, Xiaobo Guo, Xudong Duan, Tao Lu, Chenqi Kang, Jiuhong Clin Transl Med Research BACKGROUND: Fetal growth restriction (FGR) contributes the primary cause of perinatal mortality and morbidity with impacts on the long-term health. To determine the core gene expression network and gene signatures, which in combination with ultrasound confirmation will more effectively differentiate constitutionally normal small for gestational age and pathological FGR groups, we performed RNA sequencing for protein-coding genes, lncRNAs, and small RNAs in a case–control study of umbilical cord blood. RESULTS: Five pairs of FGR case and control umbilical cord blood samples were used for RNA sequencing and weighted gene co-expression network analysis (WGCNA). Results showed that 339 mRNAs, 295 lncRNAs, and 13 miRNAs were significantly differentially expressed between FGR cases and controls. Bioinformatics analysis indicated that these differentially expressed molecules were mainly involved in metabolism, neural, cardiac, and immune systems, and identified 18 WGCNA modules for FGR. Further quantitative verification was performed using umbilical cord blood and maternal peripheral blood from 12 pairs of FGR cases and controls. The logistic regression and receiver operating characteristic curve indicated that RP11_552M6.1, LINC01291, and Asgr1 in umbilical cord blood, while Sfrp2, miR-432-5p, and miR-1306-3p in maternal peripheral blood had potential significance for FGR. CONCLUSIONS: We comprehensively profiled the whole-transcriptome landscape of human umbilical cord blood with FGR, constructed the core WGCNA modules, and delineated the critical gene signatures of FGR. These findings provide key insight into intrauterine perturbations and candidate signatures for FGR. Springer Berlin Heidelberg 2020-01-28 /pmc/articles/PMC6987274/ /pubmed/31993806 http://dx.doi.org/10.1186/s40169-020-0259-0 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Research
Wang, Guiying
Yu, Jun
Yang, Yiwei
Liu, Xiaoqin
Zhao, Xiaobo
Guo, Xudong
Duan, Tao
Lu, Chenqi
Kang, Jiuhong
Whole-transcriptome sequencing uncovers core regulatory modules and gene signatures of human fetal growth restriction
title Whole-transcriptome sequencing uncovers core regulatory modules and gene signatures of human fetal growth restriction
title_full Whole-transcriptome sequencing uncovers core regulatory modules and gene signatures of human fetal growth restriction
title_fullStr Whole-transcriptome sequencing uncovers core regulatory modules and gene signatures of human fetal growth restriction
title_full_unstemmed Whole-transcriptome sequencing uncovers core regulatory modules and gene signatures of human fetal growth restriction
title_short Whole-transcriptome sequencing uncovers core regulatory modules and gene signatures of human fetal growth restriction
title_sort whole-transcriptome sequencing uncovers core regulatory modules and gene signatures of human fetal growth restriction
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6987274/
https://www.ncbi.nlm.nih.gov/pubmed/31993806
http://dx.doi.org/10.1186/s40169-020-0259-0
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