Ontology highlight
ABSTRACT:
PROVIDER: PRJNA692425 | ENA |
REPOSITORIES: ENA
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Project description:The placenta regulates maternal-fetal communication, and its defect leads to significant pregnancy complications. The maternal and embryonic circulations are primitively connected in early placentation, but the function of the placenta during this developmentally essential period is relatively unknown. We thus performed a comparative proteomic analysis of the placenta before and after primary placentation and found that the metabolism and transport of lipids were characteristically activated in this period. The placental fatty acid (FA) carriers in specific placental compartments were upregulated according to gestational age, and metabolomic analysis also showed that the placental transport of FAs increased in a time-dependent manner. Further analysis of two mutant mice models with embryonic lethality revealed that lipid-related signatures could reflect the functional state of the placenta. Our findings highlight the importance of the nutrient transport function of the primary placenta in the early gestational period and the role of lipids in embryonic development.
2023-09-06 | PXD026858 | Pride
Project description:These analyses set out to evaluate placental genomic and epigenomic signatures in newborns from the Extremely Low Gestational Age Newborns (ELGAN) cohort. Genome-wide mRNA, microRNA, and DNA methylation profiles were obtained from placenta samples collected at birth. Analyses were conducted to better understand placental molecular signatures and relate these to placental, maternal, infant, and later-in-life health indices.
2021-03-01 | GSE167885 | GEO
Project description:microRNAs are increasingly seen as important regulators of placental development and opportunistic biomarker targets. We generated miRNA profiles using 96 placentas from presumed normal pregnancies, across early gestation, in combination with matched profiles from maternal plasma. We identified 637 miRNAs with expression in 86 samples (after removing poor quality samples), showing a clear gestational age gradient and identified 374 differentially expressed (DE) miRNAs across a gestational cut-off of 6-10 weeks’ and 11-23 weeks’. We see a clear gestational age group bias in miRNA clusters C19MC, C14MC, miR-17~92 and paralogs, regions that also include many DE miRNAs. Proportional change in expression of placenta-specific miRNA clusters was reflected in maternal plasma, with C19MC miRNAs miR-516b-5p and 517a-3p showing potential as a biomarkers. Chorionic villous samples across early gestation display differential miRNA profiles, particularly in the expression of highly placenta-specific miRNA clusters, and at the presumed introduction of oxygenated maternal blood into the placenta. Data presented here comprise a clinically important reference set for studying early placenta development and enabling development of minimally invasive methods for monitoring placental health.
2021-12-23 | GSE151362 | GEO
Project description:Affymetrix miRNA arrays were used to generate miRNA profiles in placenta of Meishan and Yorkshire pigs on stages of initiation (gestational day 26) and establishment (gestational day 50) of placental folds development. The study allowed for the determination of the miRNAs that were differentially expressed in porcine placenta on different gestational day. This study will provide the information to better understanding of the role miRNAs in porcine placental development.
2015-10-01 | GSE62996 | GEO
Project description:Placental insufficiency is implicated in the intrauterine infection-associated spontaneous preterm birth. Using a mouse model of LPS-induced intrauterine inflammation that leads to preterm delivery, RNA-seq study was performed in the placenta at gestational day 17 to assess the transcriptome changes.
2020-11-27 | GSE151728 | GEO
Project description:These analyses set out to evaluate placental genomic and epigenomic signatures in newborns from the Extremely Low Gestational Age Newborns (ELGAN) cohort. Genome-wide mRNA, microRNA, and DNA methylation profiles were obtained from placenta samples collected at birth. Analyses were conducted to better understand placental molecular signatures and relate these to placental, maternal, infant, and later-in-life health indices. Samples included in this GEO series reflect genome-wide mRNA and microRNA expression signatures.
2020-07-22 | GSE154829 | GEO
Project description:Background: A small number of recent reports have suggested that altered placental DNA methylation may be associated with early onset preeclampsia. It is important that further studies be undertaken to confirm and develop these findings. We therefore undertook a systematic analysis of DNA methylation patterns in placental tissue from 24 women with preeclampsia and 24 with uncomplicated pregnancy outcome. Methods: We analyzed the DNA methylation status of approximately 27,000 CpG sites in placental tissues in a massively parallel fashion using an oligonucleotide microarray. Follow up analysis of DNA methylation at specific CpG loci was performed using the Epityper MassArray approach and high-throughput bisulfite sequencing. Results: Preeclampsia-specific DNA methylation changes were identified in placental tissue samples irrespective of gestational age of delivery. In addition, we identified a group of CpG sites within specific gene sequences that were only altered in early onset-preeclampsia (EOPET) although these DNA methylation changes did not correlate with altered mRNA transcription. We found evidence that fetal gender influences DNA methylation at autosomal loci but could find no clear association between DNA methylation and gestational age. Conclusion: Preeclampsia is associated with altered placental DNA methylation. Fetal gender should be carefully considered during the design of future studies in which placental DNA is analyzed at the level of DNA methylation. Further large-scale analyses of preeclampsia-associated DNA methylation are necessary. Bisulphite converted DNA from the 48 samples were hybridized to the Illumina Infinium 27k Human Methylation Beadchip v1.2
2014-07-12 | E-GEOD-59274 | biostudies-arrayexpress
Project description:Gestational diabetes mellitus (GDM) “program” an elevated risk of metabolic syndrome in the offspring. Epigenetic alterations are a suspected mechanism. GDM has been associated with placental DNA methylation changes in some epigenome-wide association studies. It remains unclear which genes or pathways are affected, and whether any placental differential gene methylations are correlated to fetal growth or circulating metabolic health biomarkers. In an epigenome-wide association study using the Infinium MethylationEPIC Beadchip, we sought to identify genome-wide placental differentially methylated genes and enriched pathways in GDM, and to assess the correlations with fetal growth and metabolic health biomarkers in cord blood. The study samples were 30 pairs of term placentas in GDM vs. euglycemic pregnancies (controls) matched by infant sex and gestational age at delivery in the Shanghai Birth Cohort. Cord blood metabolic health biomarkers included insulin, C-peptide, proinsulin, IGF-I, IGF-II, leptin and adiponectin. Adjusting for maternal age, pre-pregnancy BMI, parity, mode of delivery and placental cell type heterogeneity, 256 differentially methylated positions (DMPs,130 hypermethylated and 126 hypomethylated) were detected between GDM and control groups accounting for multiple tests with false discovery rate <0.05 and beta-value difference >0.05. WSCD2 was identified as a differentially methylated gene in both site- and region-level analyses. We validated 7 hypermethylated (CYP1A2, GFRA1, HDAC4, LIMS2, NAV3, PAX6, UPK1B) and 10 hypomethylated (DPP10, CPLX1, CSMD2, GPR133, NRXN1, PCSK9, PENK, PRDM16, PTPRN2, TNXB) genes reported in previous epigenome-wide association studies. We did not find any enriched pathway accounting for multiple tests. DMPs in 11 genes (CYP2D7P1, PCDHB15, ERG, SIRPB1, DKK2, RAPGEF5, CACNA2D4, PCSK9, TSNARE1, CADM2, KCNAB2) were correlated with birth weight (z score) accounting for multiple tests. There were no significant correlations between placental gene methylations and cord blood biomarkers. In conclusions, GDM was associated with DNA methylation changes in a number of placental genes, but these placental gene methylations were uncorrelated to the observed metabolic health biomarkers (fetal growth factors, leptin and adiponectin) in cord blood. We validated 17 differentially methylated placental genes in GDM, and identified 11 differentially methylated genes relevant to fetal growth.
2022-06-22 | GSE200659 | GEO
Project description:Smoking in pregnancy increases a woman's risk of preterm delivery resulting in serious health problems during the newborn period, chronic lifelong disabilities (such as cerebral palsy, mental retardation and learning problems), and even death. Further, smoking women have placental problems such as placenta previa (a low-lying placenta that covers part or all of the opening of the uterus), placental abruption (in which the placenta peels away, partially or almost completely before delivery) often resulting in bleeding during delivery. Gene expression profiles in placentas from women exposed to tobacco smoke in pregnancy and from those without the exposure were determined by Illumina HumRef8 Beadchips with 20,589 gene probes. Comparative analysis, smokers versus non-smokers, revealed differential expression of 241 genes at p<0.05. In smokers we identified deregulated genes that represent general biomarkers of exposure as well as candidate genes likely involved in placental abnormalities found in smoking women. Functional annotation determined deregulated processes that were mainly related to development, metabolism, ion transport, and adhesion.
2009-09-15 | GSE18044 | GEO