Minimal information for chemosensitivity assays (MICHA): a next-generation pipeline to enable the FAIRification of drug screening experiments
Status PubMed-not-MEDLINE Language English Country Great Britain, England Media print
Document type Journal Article
Grant support
824087
EOSC-Life
317680
Academy of Finland
716063
European Research Council - International
PubMed
34472587
PubMed Central
PMC8769689
DOI
10.1093/bib/bbab350
PII: 6361039
Knihovny.cz E-resources
- Keywords
- FAIR research data, data integration tools, drug discovery, drug sensitivity assays,
- Publication type
- Journal Article MeSH
Chemosensitivity assays are commonly used for preclinical drug discovery and clinical trial optimization. However, data from independent assays are often discordant, largely attributed to uncharacterized variation in the experimental materials and protocols. We report here the launching of Minimal Information for Chemosensitivity Assays (MICHA), accessed via https://micha-protocol.org. Distinguished from existing efforts that are often lacking support from data integration tools, MICHA can automatically extract publicly available information to facilitate the assay annotation including: 1) compounds, 2) samples, 3) reagents and 4) data processing methods. For example, MICHA provides an integrative web server and database to obtain compound annotation including chemical structures, targets and disease indications. In addition, the annotation of cell line samples, assay protocols and literature references can be greatly eased by retrieving manually curated catalogues. Once the annotation is complete, MICHA can export a report that conforms to the FAIR principle (Findable, Accessible, Interoperable and Reusable) of drug screening studies. To consolidate the utility of MICHA, we provide FAIRified protocols from five major cancer drug screening studies as well as six recently conducted COVID-19 studies. With the MICHA web server and database, we envisage a wider adoption of a community-driven effort to improve the open access of drug sensitivity assays.
Biotech Research and Innovation Centre University of Copenhagen Denmark
European Infrastructure for Translational Medicine UK
Fraunhofer Institute for Molecular Biology and Applied Ecology Germany
Institute for Molecular Medicine Finland University of Helsinki Finland
Institute of Molecular and Translational Medicine Czech
Istituto di Ricerche Farmacologiche Mario Negri IRCCS Italy
National Center for Advancing Translational Sciences USA
Research Program in Systems Oncology Faculty of medicine University of Helsinki Finland
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