|Technology platform||Small Molecules|
Chemosensitivity assays (drug sensitivity screens) have been increasingly used for preclinical drug discovery and clinical trial optimization. However, typical drug sensitivity assays are lack of sufficient annotation and standardization to make the data FAIR (Findable, Accessible, Interoperable and Reusable), resulting in a poor replicability as well as limited impact on drug discovery. To address these issues, we have recently launched MICHA (Minimal information for Chemosensitivity Assays), a web server at https://micha-protocol.org/ for the annotation of drug sensitivity screens for cell lines and patient-derived samples, including 1) compounds 2) specimens 3) assay protocols and 4) quality control and data processing methods.
MICHA is a user-driven project that allows the drug discovery research community to adopt advanced data standardization tools. We will first develop FAIR-compliant data resources by delivering identifier standards, ontologies and ontology services as well as content standards. The project will ensure drug sensitivity data are FAIR to support the downstream analysis and ultimately clinical translation.
What MICHA is?
The aim is to determine the ‘minimal’ information that:
- Captures critical drug sensitivity assay components.
- Allows the FAIRIfication and cataloguing of drug sensitivity screen studies.
- Complies with the guidelines of scientific publications and preclinical drug evaluation.
What MICHA is not?
- MICHA is not to standardize the protocols among different labs; rather, it allows the annotation of these versatile protocols FAIR (Findable, Accessible, Interoperable and Reusable).
- MICHA is not a database of actual drug sensitivity measurements; rather, it is a catalogue of drug sensitivity assays to facilitate the data exchange.
We are part of EATRIS (European Infrastructure for Translation Medicine), whose aim is to support researchers in developing their biomedical discoveries into novel translational tools and interventions for better health outcomes for society. Together with EATRIS, we are also involved in EOSC-Life project, whose aim is to populate EOSC with the scientific data resources and computational tools and drive usage by 1.7M researchers from Europe.