Ontology highlight
ABSTRACT:
PROVIDER: PRJNA692425 | ENA |
REPOSITORIES: ENA
Similar Datasets
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: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: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:The human placenta (the extra-embryonic organ in which the fetus is made) is essential for conception and protection of the fetus during pregnancy. Extravillous trophoblasts (EVT) from placental villi infiltrate the decidua and convert maternal arteries into high-conductance vessels. Defects in trophoblast invasion and arterial conversion in early pregnancy are at the root of common pregnancy disorders such as preeclampsia. Here, we generated ecdysone and chorionic monocytic profiles across different gestational weeks spanning the 22-45 year age range, which allowed us to resolve the differentiation trajectory of trophoblast cells at implantation and its relationship with maternal age. We used this age atlas to identify age nodes of placental implantation change, revealing patterns of EVT implantation in advanced versus normal maternal age. Our data provide a comprehensive analysis of post-bedding trophoblast cell differentiation and may inform the design of experimental models of the placenta in early human pregnancy.
2025-09-02 | GSE240922 | GEO
Project description:DNA methylation, a partially reversible process, is critical in tissue development and aging. The discrepancy between biological age, as estimated from methylation, and chronological age has been proposed as a potential indicator of health and disease. Epigenetic age acceleration has been implicated as a contributing mechanism in obstetric conditions such as preeclampsia and small-for-gestational-age, yet future studies could benefit from more accurate models. Herein, we curated 1,842 placental methylomes from the public domain and organized a DREAM challenge to develop models that infer gestational age. Challenge participants were blinded to the test data that we generated from 384 placentas encompassing normal and complicated pregnancies. The mean absolute error of the top performing model (0.99 weeks of gestation) and of a post-challenge placental clock model (PCPC, 1.04 weeks) compared favorably to the accuracy of existing models. Moreover, predictions obtained with new models were better calibrated across the gestational age spectrum and suggest that previous reports of accelerated aging in preterm preeclampsia were likely due to modeling artifacts. Based on predictions from previous and newly developed epigenetic models we found that accelerated placental ageing was associated with a decrease in birthweight percentiles in male neonates delivered at term in our test cohort (about 10 birthweight percentiles drop per week of age acceleration for PCPC model, p<0.001). By contrast, preterm accelerated aging was protective against delivery of a small-for-gestational-age neonate regardless of fetal sex.
2025-07-10 | GSE287219 | 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