ArticleBMC genomics2017
Placental transcriptome co-expression analysis reveals conserved regulatory programs across gestation.
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 24 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
24 citing papers in PubMed, 1 synthesis or guideline pooled it, 52 citations in OpenAlex.
- Current approaches and developments in transcript profiling of the human placenta.Human reproduction update · 2020Pooled it
- Article
- Decoding Human Placental Cellular and Molecular Responses to Obesity and Fetal Growth.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- PPP1R1C: a specific placental mRNA biomarker for distinguishing preeclampsia from healthy pregnancies.BMC pregnancy and childbirth · 2026Article
- Article
- Cystatin 6 (CST6) and Legumain (LGMN) are potential mediators in the pathogenesis of preeclampsia.Scientific reports · 2025Article
- Integrated analysis of transcriptomics and defense-related phytohormones to discover hub genes conferring maize Gibberella ear rot caused by Fusarium Graminearum.BMC genomics · 2024Article
- A genome scale transcriptional regulatory model of the human placenta.Science advances · 2024Article
- Genome-wide association study for stayability at different calvings in Nellore beef cattle.BMC genomics · 2024Article
- Placental transcriptome analysis of hypertensive pregnancies identifies distinct gene expression profiles of preeclampsia superimposed on chronic hypertension.BMC medical genomics · 2023Article
- Associations between prenatal organophosphate pesticide exposure and placental gene networks.Environmental research · 2023Article
- Placental Transcriptome Profiling in Subtypes of Diabetic Pregnancies Is Strongly Confounded by Fetal Sex.International journal of molecular sciences · 2022Article
- Embryonic specializations for vertebrate placentation.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022Review
- 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
- Circular RNAs in Pregnancy and the Placenta.International journal of molecular sciences · 2022Review
- MiR-29b-3p affects growth and biological functions of human extravillous trophoblast cells by regulating bradykinin B2 receptor.Archives of medical science : AMS · 2022Article
- Maternal whole blood mRNA signatures identify women at risk of early preeclampsia: a longitudinal study.The journal of maternal-fetal & neonatal medicine : the official journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians · 2021Article
- GWAS and WGCNA uncover hub genes controlling salt tolerance in maize (Zea mays L.) seedlings.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2021Article
- Placental gene network modules are associated with maternal stress during pregnancy and infant temperament.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2021Article
- The RNA landscape of the human placenta in health and disease.Nature communications · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMammalian development in utero is absolutely dependent on proper placental development, which is ultimately regulated by the placental genome. The regulation of the placental genome can be directly studied by exploring the underlying organisation of the placental transcriptome through a systematic analysis of gene-wise co-expression relationships.
resultsIn this study, we performed a comprehensive analysis of human placental co-expression using RNA sequencing and intergrated multiple transcriptome datasets spanning human gestation. We identified modules of co-expressed genes that are preserved across human gestation, and also identifed modules conserved in the mouse indicating conserved molecular networks involved in placental development and gene expression patterns more specific to late gestation. Analysis of co-expressed gene flanking sequences indicated that conserved co-expression modules in the placenta are regulated by a core set of transcription factors, including ZNF423 and EBF1. Additionally, we identified a gene co-expression module enriched for genes implicated in the pregnancy pathology preeclampsia. By using an independnet transcriptome dataset, we show that these co-expressed genes are differentially expressed in preeclampsia.
conclusionsThis study represents a comprehensive characterisation of placental co-expression and provides insight into potential transcriptional regulators that govern conserved molecular programs fundamental to placental development.
Indexed as
Identifiers
What OpenQuestion holds
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.