Back to search

Article

Transcriptomic Profiling of Cumulus Cells Reveals Dysregulated Genes and Pathways in PCOS-Related Infertility

2025-06-17

Abstract excerpt

<title>Abstract</title> <p><bold>Background: </bold>Polycystic ovarian syndrome (PCOS) is a leading cause of infertility and metabolic dysfunction in women, characterized by hyperandrogenism, anovulation, and insulin resistance. Cumulus cells play a crucial role in folliculogenesis and oocyte maturation, necessitating a deeper understanding of their molecular alterations impact in PCOS. <bold>Method: </bold>This...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
639238ae-9291-5aac-ae44-3b5f20920333
DOI
10.21203/rs.3.rs-6487439/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Transcriptomic Profiling of Cumulus Cells Reveals Dysregulated Genes and Pathways in PCOS-Related InfertilityDOI 10.21203/rs.3.rs-6487439/v1
Identification of Polycystic Ovary Syndrome (PCOS) Specific Genes in Cumulus and Mural Granulosa CellsSemantic proximity
Integrated bioinformatics analysis elucidates granulosa cell whole-transcriptome landscape of PCOS in ChinaSemantic proximity
Multiomics Analysis Reveals Molecular Abnormalities in Granulosa Cells of Women With Polycystic Ovary SyndromeSemantic proximity
Expression of long noncoding RNAs in the ovarian granulosa cells of women with diminished ovarian reserve using high-throughput sequencingSemantic proximity
Protein Expression and Bioinformatics Study of Granulosa Cells of Polycystic Ovary Syndrome Expressed Under the Influence of DHEASemantic proximity
Differential gene expression in granulosa cells from polycystic ovary syndrome patients with and without insulin resistance: identification of susceptibility gene sets through network analysis.Semantic proximity
Unravelling the molecular landscape of polycystic ovary syndrome (PCOS) and role of inflammation through transcriptomics analysis of human ovarian granulosa cellsSemantic proximity
Expression of long noncoding RNAs in the ovarian granulosa cells of women with diminished ovarian reserve using high-throughput sequencingSemantic proximity
Using bioinformatics and metabolomics to identify altered granulosa cells in patients with diminished ovarian reserveSemantic proximity
Global Transcriptional Profiling of Granulosa Cells from Polycystic Ovary Syndrome Patients: Comparative Analyses of Patients with or without History of Ovarian Hyperstimulation Syndrome Reveals Distinct Biomarkers and PathwaysSemantic proximity
Integrative Multi-cohort Transcriptomics and Network Pharmacology Analysis Reveals Key Network Nodes and Potential Drug Clues in PCOS Granulosa CellsSemantic proximity
Identification of molecular characteristics in polycystic ovary syndrome using single-cell and transcriptome analysisSemantic proximity
Select a neighboring publication to make it the new centre.