Back to search

Article

Key genes and pathways of ovarian granulosa cells in polycystic ovary syndrome identified by bioinformatics analysis

2021-02-05

Abstract excerpt

<h4>Purpose: </h4> Polycystic ovary syndrome (PCOS) is one of the factors leading to infertility. The specific pathogenesis of PCOS is still unclear. The purpose of this study was to determine key changes in gene expression during the formation of PCOS and to provide a theoretical basis for the clinical diagnosis and treatment of PCOS. Methods We analyzed differentially expressed genes (DEGs) in the dataset GSE34...

Topics

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

Identifiers and source

Literature Corpus work
f1eeddd5-59eb-5dc7-ba7c-14d4d8aea110
DOI
10.21203/rs.3.rs-191533/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.
Key genes and pathways of ovarian granulosa cells in polycystic ovary syndrome&nbsp;identified by bioinformatics analysisDOI 10.21203/rs.3.rs-191533/v1
The identification of key immune related genes and pathways in polycystic ovary syndrome by bioinformatics analysis of Single-cell RNA sequencing dataSemantic proximity
Identification of Key genes associated with polycystic ovary syndrome (PCOS) and ovarian cancer using an integrated bioinformatics analysisSemantic proximity
Identification of the hub genes in polycystic ovary syndrome based on disease‐associated molecule networkSemantic proximity
Explore the potential molecular mechanism of polycystic ovarian syndrome by protein–protein interaction network analysisSemantic proximity
Identification of the core ontologies and signature genes of polycystic ovary syndrome (PCOS): A bioinformatics analysisSemantic proximity
Identification of the key pathways and genes related to polycystic ovary syndrome using bioinformatics analysisSemantic proximity
Evaluation of the p53 pathway in polycystic ovarian syndrome pathogenesis and apoptosis enhancement in human granulosa cells through transcriptome data analysisSemantic proximity
Transcriptome Profiling Revealed the Relationship Between Immune-Related Genes and m6A Modifiers in Polycystic Ovary SyndromeSemantic proximity
Transcriptome profiling reveals dysregulation of inflammatory and protein synthesis genes in PCOSSemantic proximity
Identification of key genes associated with polycystic ovary syndrome (PCOS) and ovarian cancer using an integrated bioinformatics analysisSemantic proximity
Identification of Key Pathways and Genes in Polycystic Ovary Syndrome via Integrated Bioinformatics Analysis and Prediction of Small Therapeutic MoleculesSemantic proximity
Identification of key pathways and genes in polycystic ovary syndrome via integrated bioinformatics analysis and prediction of small therapeutic moleculesSemantic proximity
Select a neighboring publication to make it the new centre.