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Discovery of diagnostic biomarker and molecular mechanisms of placenta accreta spectrum

ABSTRACT: Discovery of diagnostic biomarker and molecular mechanisms of placenta accreta spectrum

PROVIDER: PRJNA782311 | ENA |

REPOSITORIES: ENA

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Discovery of diagnostic biomarker and molecular mechanisms of placenta accreta spectrum

Project description:Transcriptome analysis of FFPE placenta of placenta accreta spectrum, over increta. Pre-diagnosis is essential to safely deal with placenta accrete spectrum, but definitive diagnostic markers have not yet been established. We conducted a transcriptome analysis of FFPE placenta to establish early diagnostic markers for placenta accreta.

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Dysregulated lncRNA and mRNA expression in placenta accreta spectrum disorders

Project description:To find potential biomarkers and molecular mechanism for placenta accreta spectrum disorders , we identified the differently expressed patterns of lncRNAs and mRNAs in invasive placneta and adherent normal placenta tissues. The results provided a novel insight into the pathogenesis of placenta accreta spectrum disorders .

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Single-Cell Analysis of Placenta Accreta Spectrum: Novel Contribution of Endothelial Cells to the Pathogenesis of Disease

Project description:This study utilizes advances in single-cell RNA-sequencing to generate transcriptomes from placenta accreta and control specimens.

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Placenta accreta spectrum disorder at single cell resolution: a loss of boundary limits in the uterine endothelium and decidua.

Project description:Objective: The objective of this study is to utilize advances in single-cell RNAsequencing to characterize cellular heterogeneity and transcriptomic signatures of PAS. Our findings can elucidate mechanisms of abnormal placental invasion and identify targets for potential diagnostic and therapeutic biomarkers of PAS. Results: Placental samples from PAS participants and non-PAS cesarean births were included. In total, we analyzed 31,406 individual cells expressing an average of 1,493 genes. Clustering analysis of gene expression identified multiple populations of cells representing syncytiotrophoblasts, cytotrophoblasts, extravillous trophoblasts, decidua,endothelial cells, myeloid, natural killer, and lymphoid cells. When analyzed by disease phenotype, AI showed a unique gene signature most prominently in the endothelial population. The highest expression in AI compared to AO and C was seen in the following genes: DLK1, EGFL6, HGF, APOLD1, and EDNRB. Gene set enrichment analysis of AI endothelial cells identified the following key pathways: blood vessel development, response to growth factors and hormones, regulation of cell adhesion and migration, and pathways in cancer. Conclusions: We present a comprehensive single-cell atlas of PAS across the site of invasion and site of non-adherence. By integrating expression from individual genes per cell, we identified endothelial cells as a key subpopulation in invasive accreta, with expression of genes involved in multiple angiogenic, growth, and mechanical-signaling pathways. After validation, these gene targets may be used to refine diagnostic assays for placenta accreta in early gestation, track disease progression over time, and inform Powered by Editorial Manager® and ProduXion Manager® from Aries Systems Corporation therapeutic discoveries.

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Proteomics profiling of placental tissues from placenta accreta and control pregnancies

Project description:Placenta accreta is a major cause of maternal morbidity and mortality in modern obstetrics. The study aims to identify the differently expressed proteins in placenta accreta patients compared with controls and to determine biological pathways, which provides a novel insight into the pathogenesis of placneta accreta.

2020-04-19 | PXD018665 |

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