CpG Island methylation variation in placentae of Intra-Uterine Growth Restricted (IUGR) fetuses versus controls
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE22326 | GEO | 2011/04/11
SECONDARY ACCESSION(S): PRJNA127525
REPOSITORIES: GEO
Similar Datasets
Project description:Methylation profiling of CpG Island Methylation of genomic DNA samples extracted from placentae of Intra-Uterine Growth Restricted newborns and gestational age matched controls. These data can be used for methylation comparisons between these two types of samples. The results of such comparisons can be used to generate hypotheses on the involvement of DNA methylation variation in placenta development and fetal growth. Two-condition Methyl DNA Immunoprecipitation (MeDIP) experiment, IUGR vs. Control placenta samples. Biological replicates: 8 control, 8 IUGR cases.
2011-04-11 | E-GEOD-22326 | biostudies-arrayexpress
Project description:We used a whole genome approach to identify major functional gene categories (including xenobiotic transporters and metabolizing enzymes) whose expression depends on gestational age. STUDY DESIGN: We compared gene expression profiles of 1st (45-59 days) and 2nd trimester (109-115 days), and C-section term placentae. RESULTS: In 1st trimester placentae, genes related to cell cycle, DNA, aminoacids and carbohydrate metabolism were significantly overrepresented, while genes related to signal transduction were downregulated. In the organism defense category, we identified genes involved in chemical response, metabolism, and transport. Analysis of signal transduction pathways suggested, and subsequently confirmed independently, that the Wnt pathway was regulated by gestational age. CONCLUSIONS: Our study will serve as a reference database to gain insight into the regulation of gene expression in the developing placentae and, thus, allow comparisons with placentae from complicated pregnancies such as those in women experiencing gestational diabetes, pre-eclampsia and teratogenic sequelae. Experiment Overall Design: Comparison of plaental gene expression profiles of three gestational stages (1st trimester (45-59 days), 2nd trimester (109-115 days), and C-section term placentae), with four replicates each,
2008-06-17 | E-GEOD-9984 | biostudies-arrayexpress
Project description:We used a whole genome approach to identify major functional gene categories (including xenobiotic transporters and metabolizing enzymes) whose expression depends on gestational age. STUDY DESIGN: We compared gene expression profiles of 1st (45-59 days) and 2nd trimester (109-115 days), and C-section term placentae. RESULTS: In 1st trimester placentae, genes related to cell cycle, DNA, aminoacids and carbohydrate metabolism were significantly overrepresented, while genes related to signal transduction were downregulated. In the organism defense category, we identified genes involved in chemical response, metabolism, and transport. Analysis of signal transduction pathways suggested, and subsequently confirmed independently, that the Wnt pathway was regulated by gestational age. CONCLUSIONS: Our study will serve as a reference database to gain insight into the regulation of gene expression in the developing placentae and, thus, allow comparisons with placentae from complicated pregnancies such as those in women experiencing gestational diabetes, pre-eclampsia and teratogenic sequelae. Keywords: time series
2008-04-29 | GSE9984 | GEO
Project description:To determine differential expression of microRNAs in placentae with severe pre-eclampsia and normal placenta. Differential expression of microRNAs in placentae (4 severe pre-eclampsia and 4 normal control) was screened by microarray platform, then some differential microRNAs were selected and validated with real-time quantitative reverse transcription polymerase chain reaction in placentae of severe pre-eclampsia (n=24) and normal control group (n=26). Results: We validated the expression of some microRNAs altered in the microarray, and found the following microRNAs were significantly increased in severe pre-eclampsia placentae: miR-16, miR-29b, miR-195, miR-26b, miR-181a, miR-335 and miR-222. Conclusion: These differential microRNAs may play an important role in pathogenesis of pre-eclampsia. We analyzed the microRNA expression in the placentae of Chinese patients with severe pre-eclampsia.
2011-04-14 | E-GEOD-15789 | biostudies-arrayexpress
Project description:The E3 ubiquitin ligase MULE (Mcl-1 Ubiquitin Ligases E3) targets myeloid cell leukemia factor 1 (Mcl-1) and tumor suppressor p53 for proteasomal degradation. Although Mcl-1 and p53 have been implicated in trophoblast cell death in preeclampsia (PE) and intrauterine growth restriction (IUGR), the mechanisms regulating their expression in the human placenta remains elusive. Herein, we investigated MULE's involvement in regulating Mcl-1 and p53 degradation during normal and abnormal (PE, IUGR) placental development. MULE expression peaked at 5-7 weeks of gestation, when oxygen tension is low and inversely correlated with that of Mcl-1 and p53. MULE efficiently bound to Mcl-1 and p53 and regulated their ubiquitination during placental development. Exposure of first trimester villous explants to 3% O(2) resulted in elevated MULE expression compared with 20% O(2). Low-oxygen-induced MULE expression in JEG3 choriocarcinoma cells was abolished by hypoxia-inducible factor (HIF)-1α siRNA. MULE was overexpressed in both PE and IUGR placentae. In PE, MULE preferentially targeted p53 for degradation, allowing accumulation of pro-apoptotic Mcl-1 isoforms. In IUGR, however, MULE targeted pro-survival Mcl-1, allowing p53 to accumulate and exert its apoptotic function. These data demonstrate that oxygen regulates Mcl-1 and p53 stability during placentation via HIF-1-controlled MULE expression. The different preferential targets of MULE in PE and IUGR placentae classify early-onset PE and IUGR as distinct molecular pathologies.
| S-EPMC3366078 | biostudies-other
Project description:To determine differential expression of microRNAs in placentae with severe pre-eclampsia and normal placenta. Differential expression of microRNAs in placentae (4 severe pre-eclampsia and 4 normal control) was screened by microarray platform, then some differential microRNAs were selected and validated with real-time quantitative reverse transcription polymerase chain reaction in placentae of severe pre-eclampsia (n=24) and normal control group (n=26). Results: We validated the expression of some microRNAs altered in the microarray, and found the following microRNAs were significantly increased in severe pre-eclampsia placentae: miR-16, miR-29b, miR-195, miR-26b, miR-181a, miR-335 and miR-222. Conclusion: These differential microRNAs may play an important role in pathogenesis of pre-eclampsia.
2011-04-14 | GSE15789 | GEO
Project description:In this work, we have isolated a Hoescht side-population of trophoblasts from first trimester human placentae that cluster separately from more differentiated trophoblast populations, and have a transcriptomic profile indicative of a stem cell population. Hoescht side-population cells were compared in quintuplicate with extravillous trophoblasts and cytotrophoblasts extracted from the same placentae, giving a total of 15 samples.
2015-11-03 | E-GEOD-57834 | biostudies-arrayexpress
Project description:The presented collection of data comprises of a set of 12 linear and nonlinear indices computed at different time scales and extracted from Fetal Heart Rate (FHR) traces acquired through Hewlett Packard CTG fetal monitors (series 1351A), connected to a PC. The sampling frequency of the recorded FHR signal is equal 2 Hz. The recorded populations consist of two groups of fetuses: 60 healthy and 60 Intra Uterine Growth Restricted (IUGR) fetuses. IUGR condition is a fetal condition defined as the abnormal rate of fetal growth. In clinical practice, diagnosis is confirmed at birth and may only be suspected during pregnancy. The pathology is a documented cause of fetal and neonatal morbidity and mortality. The described database was employed in a set of machine learning approaches for the early detection of the IUGR condition: "Integrating machine learning techniques and physiology based heart rate features for antepartum fetal monitoring" [1]. The added value of the proposed indices is their interpretability and close connection to physiological and pathological aspect of FHR regulation. Additional information on data acquisition, feature extraction and potential relevance in clinical practice are discussed in [1].
| S-EPMC7015997 | biostudies-literature
Project description:AIMS/HYPOTHESIS: Pregnancies complicated by diabetes have a higher risk of adverse outcomes for mothers and children, including predisposition to disease later in life, such as metabolic syndrome and hypertension. We hypothesized that adverse outcomes from diabetic pregnancies may be linked to compromised placental function. Our goal in this study was to identify cellular and molecular abnormalities in diabetic placenta. METHODS: Using a mouse model of diabetic pregnancy, placental gene expression was assayed at midgestation and cellular composition was analyzed at various stages. Genome-wide expression profiling was validated by quantitative PCR, and tissue localization studies were performed to identify cellular correlates of altered gene expression in diabetic placenta. RESULTS: We detected significantly altered gene expression in diabetic placenta for genes expressed in the maternal as well as those in the embryonic compartments. We also found altered cellular composition of the decidual compartment. Furthermore, the junctional and labyrinth layers were reduced in diabetic placenta, accompanied by aberrant differentiation of spongiotrophoblast cells. CONCLUSIONS/INTERPRETATION: Diabetes during pregnancy alters transcriptional profiles in the murine placenta, affecting cells of both embryonic and maternal origin, and involving several genes not previously implicated in diabetic pregnancies. The molecular changes and abnormal differentiation of multiple cell types precede impaired growth of junctional zone and labyrinth, and placenta overall. Whether these changes represent direct responses to hyperglycaemia or physiological adaptations, they are likely to play a role in pregnancy complications and outcomes, and have implications for developmental origins of adult disease. The STZ diabetic mouse model was used to investigate gene expression changes in diabetic placentae at E10.5. Placentae were dissected from 5 different FVB dams at embryonic day 10.5 under diabetic conditions and from 5 control dams. Gene expression profiles from five individual placentae from independent pregnancies per group were compared.
2011-06-01 | E-GEOD-28277 | biostudies-arrayexpress