Pathway analysis for functional characterization of microRNAs

• DOI: 10.1152/physiol.2024.39.s1.2046
• Publication Date: 2024-05-21T14:57:50Z
• Authors: Artemis Hatzigeor...; Giorgos Skoufos; Marios Miliotis
• Keywords: 0303 health sciences; 03 medical and health sciences

DIANA-miRPath webserver enables the exploration of combined miRNA effects using predicted or experimentally supported interactions. Its latest version (DIANA-miRPath v4.0, http://www.microrna.gr/miRPathv4 ), introduces capacity to tailor its target-based functional analysis engine towards specific biological/experimental contexts. Via a modular interface with rich interaction, annotation and parameterization options, users can perform enrichment on Gene Ontology (GO) terms, KEGG REACTOME pathways, gene sets from Molecular Signatures Database (MSigDB) PFAM. Included interaction are derived state-of-the-art resources (DIANA-TarBase v8.0, miRTarBase microCLIP cell-type-specific interactions) in silico miRNA-target interactions (DIANA-microT-2023 TargetScan predictions). Bulk single-cell expression datasets The Cancer Genome Atlas (TCGA), Genotype-Tissue Expression project (GTEx), as well atlases be used assess change targeted genes within across wide range states. A discrete module miRNA-tailored CRISPR knock-out screen analyses deems possible investigation selected miRNAs conditions under study. Hellenic Foundation for Research Innovation (HFRI) 1 st Call HFRI Projects Support Faculty Members & Researchers Procure High-Value Equipment grant (Project Number 2563). This is full abstract presented at American Physiology Summit 2024 meeting only available HTML format. There no additional versions content this abstract. was not involved peer review process.