Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

NEXT GENERATION SEQUENCING DETECTS DYSREGULATED PLACENTAL MICRORNAS IN PREECLAMPSIA

ABSTRACT: NEXT GENERATION SEQUENCING DETECTS DYSREGULATED PLACENTAL MICRORNAS IN PREECLAMPSIA

PROVIDER: PRJNA490344 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR7819270.fastq.gz	Fastqsanger.gz
	SRR7819271.fastq.gz	Fastqsanger.gz
	SRR7819272.fastq.gz	Fastqsanger.gz
	SRR7819263.fastq.gz	Fastqsanger.gz
	SRR7819264.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 10

Similar Datasets

NEXT GENERATION SEQUENCING DETECTS DYSREGULATED PLACENTAL MICRORNAS IN PREECLAMPSIA

Project description:Introduction: To determine the miRNA expression profile in pregnancies complicated by Preeclampsia (PE) and compare it to uncomplicated pregnancies. Methods: Seventeen placentas from women with PE, [all of them being late onset PE (LOPE)], as well as 17 placentas from uncomplicated pregnancies were analyzed using miRNA NGS. For statistical analyses the MATLAB® simulation environment was applied. The expression of miR-99b and miR-23b were verified using Quantitative Real-Time Polymerase Chain Reaction. Results: Two miRNAs were found dysregulated in PE complicated placentas. Statistical analysis revealed that miR-99b and miR-23b were under-expressed in complicated placentas as compared to controls. Discussion: Since specific miRNAs can differentiate complicated from uncomplicated pregnancies, they may be considered as putative PE-specific biomarkers.

2018-09-12 | GSE119799 | GEO

GLOBAL ANALYSIS OF CIRCULATING AND PLACENTAL MICRORNA SIGNATURES AND PREECLAMPSIA DEVELOPMENT

Project description:We perform placental microRNA expression profiling to identify potential microRNAs involved in the development and pathogenesis of preeclampsia. microRNA expression profiling for serum was quantified by qPCR and evaluated at 12, 16, and 20 gestational weeks and at the time of preeclampsia diagnosis. Two groups were evaluated using TaqMan Low Density Array plates: a control group with 18 normotensive pregnant women and a preeclampsia group with 16 patients who developed preeclampsia during the follow-up period. The placental microRNA profile was assayed at delivery (7 cases and 7 controls) using the Illumina GAIIx sequencing platform.

2015-06-03 | GSE69452 | GEO

Placental Editome Profiling Reveals Widespread RNA-Editing Dysregulation in Preeclampsia

Project description:Dysregulated RNA editing is well documented in several diseases such as cancer. The extent to which RNA editing might be involved in diseases originated in the placenta such as preeclampsia remains unknown, because RNA editing has rarely been studied in the placenta. Here, the RNA editome is systematically profiled on placentae from 9 patients with early-onset severe preeclampsia (EOSPE) and 32 normal controls, and a widespread RNA editing dysregulation in EOSPE has been identified. The mis-edited gene set is enriched with known preeclampsia-associated genes and differentially expressed genes in EOSPE. The “RNA editing events” at two microRNA binding sites in 3’-UTR of the LEP mRNA have been generated, which leads to increased expression level of LEP in trophoblast cells. Upregulation of LEP is also observed in the placentae of PE patients. These results suggest that widespread placental RNA editing may be involved in placental development and dysregulation of RNA editing in the placenta may contribute to the pathogenesis of preeclampsia.

2020-04-20 | GSE148241 | GEO

Placental Immune alterations in early-onset preeclampsia and late-onset preeclampsia

Project description:Preeclampsia is a severe placenta-related pregnancy disorder that is generally divided into two subtypes named early-onset preeclampsia (onset <34 weeks of gestation), and lateonset preeclampsia (onset ≥34 weeks of gestation), with distinct pathophysiological origins. Both forms of preeclampsia have been associated with maternal systemic inflammation. However, alterations in the placental immune system have been less well characterized. Here, we studied immunological alterations in early- and late-onset preeclampsia placentas using a targeted expression profile approach. RNA was extracted from snap-frozen placenta samples (healthy n=13, early-onset preeclampsia n=13, and late-onset preeclampsia n=6). The expression of 730 immune-related genes from the Pan Cancer Immune Profiling Panel was measured, and the data were analyzed Q10 in the advanced analysis module of nSolver software (NanoString Technology). The results showed that early-onset preeclampsia placentas displayed reduced expression of complement, and toll-like receptor (TLR) associated genes, specifically TLR1 and TLR4. Mast cells and M2 macrophages were also decreased in early-onset preeclampsia compared to healthy pl acentas. The findings were confirmed by an immunohistochemistry approach using 20 healthy, 19 early-onset preeclampsia, and 10 late-onset preeclampsia placentas. We conclude that the placental innate immune system is altered in early-onset preeclampsia compared to uncomplicated pregnancies. The absence of these alterations in late-onset preeclampsia placentas indicates dissimilar immunological profiles. The study revealed distinct pathophysiological processes in earlyonset and late-onset preeclampsia placentas and imply that a tailored treatment to each subtype is desirable.

2021-12-13 | GSE190639 | GEO

Genome-wide analysis of placental gene expression in severe preterm preeclampsia

Project description:Analysis of genome-wide gene expression in placentas from women with preterm severe preeclampsia, with or without HELLP syndrome, compared to gestational age-matched controls. The hypothesis tested in the present study was that placental transcriptomic changes in preeclampsia are considerably different from controls. The results provide important information on placental transcriptomic changes in preeclampsia.

2018-12-30 | GSE66273 | GEO

Placental gene expression-based cell type deconvolution: Cell proportions drive preeclampsia gene expression differences

Project description:The placenta mediates adverse pregnancy outcomes, including preeclampsia, characterized by gestational hypertension and proteinuria. Placental cell type heterogeneity in preeclampsia is not well-understood and limits mechanistic interpretation of bulk gene expression measures. We generated single-cell RNA-sequencing samples for integration with existing data to create the largest deconvolution reference of 19 fetal and 8 maternal cell types from placental villous tissue at term. We deconvoluted eight published microarray case-control studies of preeclampsia. Our findings indicate substantial placental cellular heterogeneity in preeclampsia that predict previously observed bulk gene expression differences. Our deconvolution reference lays the groundwork for cellular heterogeneity-aware investigation into placental dysfunction and adverse birth outcomes.

2022-08-22 | GSE182381 | GEO

Dysregulated Placental Micrornas In Early And Late Onset Preeclampsia

Project description:Introduction: To determine the miRNA expression profile in placentas complicated by Preeclampsia (PE) and compare it to uncomplicated pregnancies. Methods: Sixteen placentas from women with PE, including 11 with early onset PE (EOPE) and 5 with late onset PE (LOPE), as well as 8 from uncomplicated pregnancies were analyzed using miRNA microarrays. For statistical analyses the MATLAB® simulation environment was applied. The over-expression of miR-518a-5p was verified using Quantitative Real-Time Polymerase Chain Reaction. Results: Overall, 44 miRNAs were found deregulateddysregulated in PE complicated placentas. Statistical analysis revealed that miR-431, miR-518a-5p and miR-124* were over-expressed in EOPE complicated placentas as compared to controls whereas miR-544 and miR-3942 were down-regulated in EOPE. When comparing the miRNA expression profile in cases with PE and PE- growth restricted fetuses (FGR), miR-431 and miR-518a-5p were found over-expressed in pregnancies complicated by FGR. Additionally, up- regulation of miR-124, miR-423-3p and miR-518a-5p was associated with proteinuria. Discussion: Specific miRNAs can differentiate EOPE and LOPE from uncomplicated pregnancies representing putative PE-specific diagnostic biomarkers. Among them, miR-518a-5p emerged as a potential diagnostic indicator for EOPE cases as well as for FGR and proteinuria associated PE complicated placentas designating its potential link to the severity of the disease.

2017-09-07 | GSE103542 | GEO

Placental Immune alterations in early-onset preeclampsia and late-onset preeclampsia

Project description:Placental Immune alterations in early-onset preeclampsia and late-onset preeclampsia

| PRJNA787896 | ENA

Placental transcriptome analysis of hypertensive pregnancies identifies distinct gene expression profiles of preeclampsia superimposed on chronic hypertension

Project description:The pathogenesis of preeclampsia superimposed on chronic hypertension is poorly understood relative to preeclampsia occurring in pregnant people without chronic hypertension. Placental transcriptomes in pregnancies complicated by de novo preeclampsia and superimposed preeclampsia have not been previously compared.

2022-05-30 | GSE204835 | GEO

Molecular subphenotyping using placental transcriptomics in early-onset preeclampsia and fetal growth restriction

Project description:Placental disorders contribute to pregnancy complications including preeclampsia (PE) and fetal growth restriction (FGR), but debate regarding their specific pathobiology persists. Our objective was to apply transcriptomics with weighted gene correlation network analysis (WGCNA) to further clarify the placental dysfunction in these conditions.

2023-08-25 | GSE203507 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data