ArticleClinical and translational medicine2020
Whole-transcriptome sequencing uncovers core regulatory modules and gene signatures of human fetal growth restriction.
Article in Clinical and translational medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed, 26 citations in OpenAlex.
- Uncultured Amniocytes Enable Rapid and Clinically Informative Prenatal RNA Sequencing for Genetic Diagnosis.International journal of molecular sciences · 2026Article
- Differentially expressed genes in the placentas with pre-eclampsia and fetal growth restriction using RNA sequencing and verification.Journal of perinatal medicine · 2025Article
- Review
- Integrated proteomic and transcriptomic landscape of human placenta in small for gestational age infants.iScience · 2024Article
- Integrated Transcriptome Analysis of lncRNA, miRNA, and mRNA Reveals key Regulatory Modules for Polycystic Ovary Syndrome.Phenomics (Cham, Switzerland) · 2024Article
- Gravidity influences distinct transcriptional profiles of maternal and fetal placental macrophages at term.Frontiers in immunology · 2024Article
- Improved biomarker discovery through a plot twist in transcriptomic data analysis.BMC biology · 2022Article
- MiRNA sequencing of Embryonic Myogenesis in Chengkou Mountain Chicken.BMC genomics · 2022Article
- A nine-hub-gene signature of metabolic syndrome identified using machine learning algorithms and integrated bioinformatics.Bioengineered · 2021Article
- Identification of key genes in calcific aortic valve disease via weighted gene co-expression network analysis.BMC medical genomics · 2021Article
- MicroRNA-mRNA Networks in Pregnancy Complications: A Comprehensive Downstream Analysis of Potential Biomarkers.International journal of molecular sciences · 2021Review
- Overexpression of miR-1306-5p, miR-3195, and miR-3914 Inhibits Ameloblast Differentiation through Suppression of Genes Associated with Human Amelogenesis Imperfecta.International journal of molecular sciences · 2021Article
- Predictive Biomarkers for Postmyocardial Infarction Heart Failure Using Machine Learning: A Secondary Analysis of a Cohort Study.Evidence-based complementary and alternative medicine : eCAM · 2021Article
- Gestational Age Dependence of the Maternal Circulating Long Non-Coding RNA Transcriptome During Normal Pregnancy Highlights Antisense and Pseudogene Transcripts.Frontiers in genetics · 2021Article
- The overlap between Alzheimer's disease and epilepsy uncovered by transcriptome sequencing.Clinical and translational medicine · 2020Article
- Trans-omic profiling between clinical phenoms and lipidomes among patients with different subtypes of lung cancer.Clinical and translational medicine · 2020Article
- Placental Microarray Profiling Reveals Common mRNA and lncRNA Expression Patterns in Preeclampsia and Intrauterine Growth Restriction.International journal of molecular sciences · 2020Article
Corrections and comments
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundFetal 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.
resultsFive 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.
conclusionsWe 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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