Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1053345 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR27223300.fastq.gz | Fastqsanger.gz | |||
| SRR27223400.fastq.gz | Fastqsanger.gz | |||
| SRR27223301.fastq.gz | Fastqsanger.gz | |||
| SRR27223401.fastq.gz | Fastqsanger.gz | |||
| SRR27223302.fastq.gz | Fastqsanger.gz |
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Project description:Background: the human placenta facilitates the exchange of nutrients, gas and waste between the fetal and maternal circulations. It also protects the fetus from the maternal immune response. Due to its role at the feto-maternal interface, the placenta is subject to many environmental exposures that can potentially alter its epigenetic profile. Previous studies have reported gene expression differences in placenta over gestation, as well as inter-individual variation in expression of some genes. However, the factors contributing to this variation in gene expression remain poorly understood. Results: in this study, we performed a genome-wide DNA methylation analysis of gene promoters in placenta tissue from three pregnancy trimesters. We identified large-scale differences in global DNA methylation levels between first, second and third trimesters, with an overall progressive increase in average methylation from first to third trimester. The most differentially methylated genes included many immune regulators, reflecting the change in placental immuno-modulation as pregnancy progresses. We also detected increased inter-individual variation in the third trimester relative to first and second, supporting an accumulation of environmentally induced (or stochastic) changes in DNA methylation pattern. These highly variable genes were enriched for those involved in amino acid and other metabolic pathways, potentially reflecting the adaptation of the human placenta to different environments. Conclusions : the identification of cellular pathways subject to drift in response to environmental influences provide a basis for future studies examining the role of specific environmental factors on DNA methylation pattern and placenta-associated adverse pregnancy outcomes. A total of 42 samples, with 18 first trimester, 10 second trimester, 14 full term placenta
2011-08-31 | E-GEOD-31781 | biostudies-arrayexpress
Project description:Although recent studies have revealed that microRNAs (miRNAs) regulate fundamental Natural Killer (NK) cell processes including cytotoxicity and cytokine production, little is known about the miRNA-gene regulatory relationships in maternal peripheral blood NK (pNK) cells during pregnancy. To predict the role of miRNAs within gene regulatory networks of maternal pNK cells during pregnancy, we performed comprehensive miRNA and gene expression profiling of maternal pNK cells using a combination of real-time PCR-based array and DNA microarray analyses and analyzed these differential expression levels between first- and third-trimester pNK cells. Furthermore, we constructed regulatory networks for miRNA-mediated gene expression in pNK cells during pregnancy by Ingenuity Pathway Analysis. By PCR-based array analysis of miRNAs, 12 miRNAs including 6 placenta-derived miRNAs [chromosome 19 microRNA cluster (C19MC) miRNAs] were significantly upregulated in third-trimester pNK cells compared to first-trimester pNK cells. pNK cells incorporated C19MC miRNAs, whose interaction would be mediated via exosomes. Rapid clearance of C19MC miRNAs also occurred in NK cells after delivery. By DNA microarray analysis, 13 NK cell function-related genes were significantly downregulated between first- and third-trimester pNK cells. By pathway and network analysis, 9 downregulated NK-function-associated genes were in silico target candidates of 12 upregulated miRNAs including C19MC miRNA miR-512-3p. The results suggest that transfer of placental C19MC-miRNAs into maternal pNK cells occurs during pregnancy. The present study provides clues to understand maternal NK cell functions Gene expressions in human maternal peripheral blood NK cells were measured at 1st-trimester, 3rd-trimester. Five independent experiments were performed at each term (1st-trimester or 3rd-trimester) using different donors for each experiment.
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Project description:Background: the human placenta facilitates the exchange of nutrients, gas and waste between the fetal and maternal circulations. It also protects the fetus from the maternal immune response. Due to its role at the feto-maternal interface, the placenta is subject to many environmental exposures that can potentially alter its epigenetic profile. Previous studies have reported gene expression differences in placenta over gestation, as well as inter-individual variation in expression of some genes. However, the factors contributing to this variation in gene expression remain poorly understood. Results: in this study, we performed a genome-wide DNA methylation analysis of gene promoters in placenta tissue from three pregnancy trimesters. We identified large-scale differences in global DNA methylation levels between first, second and third trimesters, with an overall progressive increase in average methylation from first to third trimester. The most differentially methylated genes included many immune regulators, reflecting the change in placental immuno-modulation as pregnancy progresses. We also detected increased inter-individual variation in the third trimester relative to first and second, supporting an accumulation of environmentally induced (or stochastic) changes in DNA methylation pattern. These highly variable genes were enriched for those involved in amino acid and other metabolic pathways, potentially reflecting the adaptation of the human placenta to different environments. Conclusions : the identification of cellular pathways subject to drift in response to environmental influences provide a basis for future studies examining the role of specific environmental factors on DNA methylation pattern and placenta-associated adverse pregnancy outcomes.
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Project description:Human placenta bulk mRNA-sequencing from n=124 first trimester (59 female, 65 male) and n=43 third trimester (18 female, 25 male) tissue samples. A subset of 23 pregnancies has matched placenta tissue collected at both first and third trimester. Tissue was collected at Cedars-Sinai Medical Center in Los Angeles, California, USA. First trimester placenta was collected at gestational ages of 70-100 days from leftover tissue from chorionic villus sampling for prenatal genetic diagnosis, after cleaning to remove maternal decidua. Third trimester placenta was collected after delivery at gestational ages 254-290 days from the fetal side near the umbilical cord insertion site beneath the amnion. Tissue was stored in RNAlater RNA Stabilization Solution (Invitrogen) at -80C until further processing. All pregnancies were conceived without fertility treatments, were normal karyotype, and resulted in live singleton births. Mothers with pre-existing diabetes or hypertension were excluded from the study, but not excluded if complications developed during pregnancy, though most pregnancies were uncomplicated. The average parental age was advanced (over 35 years old) but principal components analysis did not show clustering by either maternal or paternal age. RNA extraction was performed with physical homogenization of tissue followed by the AllPrep DNA/RNA/miRNA Universal Kit (QIAGEN), then 1 ug of the total RNA elution was used for library construction using the Illumina TruSeq Stranded mRNA library preparation kit (Illumina), with polyA mRNA selection then cDNA synthesis using SuperScript II reverse transcriptase (Invitrogen) and random primers. The cDNA was converted into double stranded DNA and PCR-amplified, then purified with Agencourt AMPure XP beads (Beckman Coulter). Sample libraries were multiplexed and sequenced on a NovaSeq 6000 platform (Illumina) using 75bp single-end mRNA-sequencing, with average 30 million reads per sample. Differential expression analysis was performed with DEseq2 to compare first versus third trimester placenta, adjusted for fetal sex [PubMed ID: 38271627]. Subanalyses were also performed to identify sex differences.
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2012-12-14 | E-GEOD-42915 | biostudies-arrayexpress
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