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Polycystic ovary syndrome (PCOS) is a prevalent endocrine-metabolic disorder characterized by hyperandrogenism, ovulatory dysfunction, and metabolic abnormalities. Despite increasing recognition of immune and metabolic dysregulation in its pathogenesis, the cell-specific molecular mechanisms, particularly within granulosa cells, remain poorly understood. This study aimed to elucidate the transcriptomic landscape and regulatory pathways of granulosa cells in PCOS using integrative bioinformatics and experimental validation.
Pubmed ID: 41214666
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Database of human genes that provides concise genomic, proteomic, transcriptomic, genetic and functional information on all known and predicted human genes. Information featured in GeneCards includes orthologies, disease relationships, mutations and SNPs, gene expression, gene function, pathways, protein-protein interactions, related drugs and compounds and direct links to cutting edge research reagents and tools such as antibodies, recombinant proteins, clones, expression assays and RNAi reagents.
View all literature mentionsSoftware package for interpreting gene expression data. Used for interpretation of a large-scale experiment by identifying pathways and processes.
View all literature mentionsSoftware package for the analysis of gene expression microarray data, especially the use of linear models for analyzing designed experiments and the assessment of differential expression.
View all literature mentionsAdjusting batch effects in microarray expression data using Empirical Bayes methods.
View all literature mentionsIntegrated database resource consisting of 16 main databases, broadly categorized into systems information, genomic information, and chemical information. In particular, gene catalogs in completely sequenced genomes are linked to higher-level systemic functions of cell, organism, and ecosystem. Analysis tools are also available. KEGG may be used as reference knowledge base for biological interpretation of large-scale datasets generated by sequencing and other high-throughput experimental technologies.
View all literature mentionsSoftware R package for statistical analysis and visualization of functional profiles for genes and gene clusters.
View all literature mentionsDatabase of human regulatory elements like enhancers and promoters, and their inferred target genes which is embedded in GeneCards, human gene compendium. Associations between regulatory elements and target genes were based on multiple sources of linking molecular data, along with distance.
View all literature mentionsSoftware R package for Gene Ontology enrichment analysis. Offers several methods based on information content and graph structure for measuring semantic similarity among Gene Ontology terms, gene products and gene clusters.
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