Dataset Information

A Complex Association between DNA Methylation and Gene Expression in Human Placenta at First and Third Trimesters

ABSTRACT: We performed DNA methylome analysis by reduced representation bisulfite sequencing (RRBS) and gene expression analysis by RNA-Seq for both first and third trimester human placenta tissues.The correlation between DNA methylation and gene expression was non-linear and complex, depending on the genomic context (promoter or gene body) and gene expression levels. A wide range of DNA methylation and gene expression changes were observed at different gestational ages. The non-linear association between DNA methylation and gene expression indicates that epigenetic regulation of placenta development is more complex than previously envisioned.

ORGANISM(S): Homo sapiens

PROVIDER: GSE98752 | GEO | 2017/09/05

SECONDARY ACCESSION(S): PRJNA386110

REPOSITORIES: GEO

ACCESS DATA

Similar Datasets

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.

Project description:Preeclampsia is one of the leading causes of maternal death worldwide. While the root cause is still unknown, the underlying biology of the disorder is becoming more clear. We recently published a study showing large, significant differences in DNA methylation in 3rd trimester placental samples associated with early-onset preeclampsia (EOPET) compared to controls. In this study, to identify DNA methylation differences associated with preeclampsia that occur early in pregnancy and to further delineate common EOPET-associated differences, we utilized a genetic defect, trisomy 16 (T16), that is predisposing to preeclampsia. We ran T16 placental samples from the 1st trimester (n=5) and 3rd trimester (n=10) against gestational age matched controls on the Illumina Infinium HumanMethylation450 BeadChip. Third trimester samples were from pregnancies with T16 confined to the placenta (confined placental mosaicism 16;CPM16), and consisted of samples that were and were not associated with EOPET (n=5 each). We identified a large number of DNA methylation differences in CPM16 samples compared to controls using stringent criteria (n=2254;False Discovery Rate <0.01, ->0.15). Several of these differences (11%) overlapped differences observed in chromosomally normal EOPET using similarly stringent criteria (FDR<0.01;->0.125). Isolating EOPET-associated probes produced a similar - distribution amongst CPM16 samples, although samples associated with EOPET showed a tendency towards larger DNA methylation differences. We also identified 262 DNA methylation differences between 1st trimester T16 and 1st trimester controls. Of these, 77 overlapped differences seen in 3rd trimester CPM16. Investigating these 77 T16/CPM16 specific DNA methylation differences, we identified three probes near two genes (ARGHEF37 and JUNB) that were also present as EOPET-associated methylation differences. In summary, we identified significant overlapping DNA methylation profiles of placentas with T16 and chromosomally normal placentas associated with EOPET. Specific DNA methylation marks within these profiles may be of future clinical utility in early identification of pregnancies susceptible to EOPET. Bisulfite converted DNA from 5 1st trimester trisomy 16 placentas, 5 chromosomally normal 1st trimester placentas, 10 third trimester placentas from confined placental mosaicism placentas and 10 chromosomally normal 3rd trimester placentas

Dataset Information

A Complex Association between DNA Methylation and Gene Expression in Human Placenta at First and Third Trimesters

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure