A Hidden Proteome Encoded by circRNAs in Human Placentas: Implications for Uncovering Preeclampsia Pathogenesis
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ABSTRACT:
PROVIDER: PRJNA803053 | ENA |
REPOSITORIES: ENA
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Project description:Circular RNAs (circRNAs) are consistently overlooked as translational templates due to computational and experimental limitations. Here, we used multi-omics approaches to identify new translational events of circRNAs in human placentas, and assessed the roles of circRNA-encoded proteins in placentation and associated disorders based on the recently proposed protein bait hypothesis. The combination of placental circRNA sequencing and bioinformatics analysis revealed 219607 circRNAs, of which 35% were identified by the Coding Potential Assessment Tool (CPAT) as having >50% coding probability. Ribosomal profiling further identified 528 novel coding circRNAs, including 217 that coded for microproteins verified by LC-MS/MS. Based on these data, we established the Placental Microprotein Bank (PMB) for coding circRNAs and their coded proteins. These proteins have lower molecular weights, higher stable indices and hydrophobicity compared to the canonical proteins, and potentially link to placental development and adverse pregnancy outcomes such as pre-eclampsia. Furthermore, we identified circPRKCB119aa as a novel preeclampsia-related microprotein that enhanced trophoblast autophagy by inhibiting phosphorylation of its cognate linear-spliced isoform protein kinase C (PKC) β. In summary, we discovered a hidden circRNA-encoded proteome in the human placenta, which offers new insights into the mechanisms underlying placentation and its disorders such as, but not limited to, preeclampsia.
2022-02-06 | GSE196032 | GEO
Project description:We investigated the DNA methylation and gene expression of 20 chorionic villi samples from early onset preeclampsia placentas to 20 gestational age matched controls. From this we were able to see a widespread disregulation in DNA methylation across a subset of genes in the genome. This may help to elucidate the underlying biological problems that lead to early onset preeclampsia. We noted that there were DNA methylation changes in many genes of importance as well as in different genomic elements such as enhancers. RNA from 8 Early Onset Preeclampsia placentas and 8 gestational age matched controls
2013-06-21 | E-GEOD-44711 | biostudies-arrayexpress
Project description:The purpose of this study was to perform a comprehensive analysis of gene expression profile in placentas from preeclamptic pregnancies vs normal placentas.
2011-06-24 | GSE30186 | GEO
Project description:The purpose of this study was to perform a comprehensive analysis of gene expression profile in placentas from preeclamptic pregnancies vs normal placentas. Total RNA obtained from placental tissues of patients with normal pregnancies and patients with preeclampsia.
2011-06-24 | E-GEOD-30186 | biostudies-arrayexpress
Project description:It has been a long debate whether the 98% “non-coding” fraction of human genome can encode functional proteins besides a “random noise” of translation. We used our established translatome sequencing (RNC-seq) to analyze human cells and found that up to 3330 long non-coding RNAs (lncRNAs) were bound to ribosomes and thus might be translated into proteins (with more than 50 amino acids). These new protein-coding genes distributed universally in all human chromosomes. We then used various experimental methods including mass spectrometry, immunoblotting, subcellular localization and phenotype assessments to verify the existence of such a hidden human proteome encoded by purported lncRNAs that can express functional proteins. These new proteins deviate from the canonical proteins in various physical and chemical properties, and emerged mostly in primates during evolution. In sum, we experimentally evidenced a hidden human functional proteome encoded by purported lncRNAs, suggesting that the human genome has to be systematically re-annotated.
2022-02-25 | PXD005291 | Pride
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
2014-01-15 | E-GEOD-49343 | biostudies-arrayexpress
Project description:The proteomes of placentas corresponding to EpoR+/+ and EpoR-/- mice were analyzed by label-free LC-MS/MS.
2022-09-28 | PXD008368 | Pride
Project description:We investigated the DNA methylation and gene expression of 20 chorionic villi samples from early onset preeclampsia placentas to 20 gestational age matched controls. From this we were able to see a widespread disregulation in DNA methylation across a subset of genes in the genome. This may help to elucidate the underlying biological problems that lead to early onset preeclampsia. We noted that there were DNA methylation changes in many genes of importance as well as in different genomic elements such as enhancers.
2013-06-21 | GSE44711 | GEO
Project description:RNA sequence of preeclampsia and healthy control placentas
| PRJNA602315 | ENA
Project description:MT1-MMP and MT2-MMP double deficiency in mice leads to development of a placental defect resulting in embryonic death after E10.5. The protein substrate for these two proteases in placenta is unknown, which poses an obstacle in uncovering of molecular mechanism behind the observed placental defect. In search for a potential substrate for these two proteases in placenta we have employed whole genome microarray expression profiling as a discovery platform to identify genes, expression of which might be affected by double MMP deficiency. Fetal parts of mouse placentas were isolated from E10.5 placentas of different genotypes for MT1- and MT2-MMP.
2010-03-09 | E-GEOD-18604 | biostudies-arrayexpress