M3Cs
M3Cs catalogs published microRNA (miRNA) research relevant to 16 pediatric cancer diseases to consolidate evidence for clinical and preclinical investigations.
Key Features:
- Curated Collection: Aggregates 538 miRNAs from 268 clinical-domain publications and 7 miRNAs from 5 publications that span both clinical and drug domains.
- Data-driven Clinical Significance: Emphasizes clinical implications of reported miRNAs across 16 pediatric cancer diseases.
- Data-driven Human Pediatric Cell Line Models: Focuses on studies using pediatric cell line models to investigate miRNA roles in cancer biology and therapeutic response.
- Comprehensive Cell Line Data: Includes 538 miRNAs from 1,268 cell-line publications and 211 miRNAs from 177 publications intersecting with drug research.
- Development Phases: Incorporates literature mining (external database searches and rigorous screening), data extraction, curation, and annotation.
- Translational Bioinformatics Pathway: Facilitates translation of miRNA research into clinical practice and drug discovery to support hypothesis generation and policy development.
Scientific Applications:
- Clinical Significance: Aggregated miRNA evidence supports evaluation of miRNAs as biomarkers or therapeutic targets in pediatric oncology.
- Drug Discovery: Highlights miRNAs involved in drug response and intersections between cell line and drug-domain studies to inform target identification.
- Health Informatics: Provides curated miRNA evidence to inform healthcare decision-making and policy formulation related to pediatric cancer.
Methodology:
Literature mining via external database searches and rigorous screening, followed by data extraction, curation, and annotation.
Topics
Details
- Tool Type:
- web application
- Operating Systems:
- Mac, Linux, Windows
- Programming Languages:
- R
- Added:
- 6/28/2022
- Last Updated:
- 11/24/2024
Operations
Publications
Rashed WM, Adel F, Rezk MA, Basiouny L, Rezk AA, Abdel-Razek AH. MicroRNA childhood cancer catalog (M3Cs): a resource for translational bioinformatics toward health informatics in pediatric cancer. Database. 2022;2022. doi:10.1093/database/baac013. PMID:35303059. PMCID:PMC9216566.