Improving data reproducibility for chemosensitivity assays using MICHA

Chemosensitivity assays are commonly used for preclinical drug discovery and clinical trial optimisation. However, poor inter- and intra-laboratory reproducibility has been reported, largely attributed to uncharacterised variation in the assay protocols. Central to improving the data reproducibility is the standardisation of assay ontologies using minimal information (MI).

To facilitate the open data in chemosensitivity assays, we have launched MICHA (minimal information for chemosensitivity assays) available athttp://micha-protocol.org). MICHA is an integrative pipeline to annotate chemosensitivity assays based on four major components, including (1) compounds, (2) samples, (3) reagents, and (4) data processing references.

This webinar will demonstrate howMICHA can automatically extract publicly available information for compounds including primary and secondary targets, disease indications and physio-chemical properties. Users may next fill in the annotations including cell line or patient clinical variables, assay types, detection technologies and other experimental parameters.

Using the platform of MICHA, we aim to increase acceptance and adoption of the principles of FAIR (Findable, Accessible, Interoperable and Reusable), by making the assay annotation as smoothly as possible. This webinar will showcase the utility of MICHA, including FAIRified protocols from several major cancer drug screening studies (including CCLE, CTRP, GDSC), as well as recently conducted COVID-19 drug screening studies.

• Describe what is MICHA
• Recognise the importance of strategies for fostering a community-driven effort to improve the open access of chemosensitivity assays
• Identify applications of MICHA in drug screening studies