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Minimal information for chemosensitivity assays (MICHA): a next-generation pipeline to enable the FAIRification of drug screening experiments.
Tanoli, Ziaurrehman; Aldahdooh, Jehad; Alam, Farhan; Wang, Yinyin; Seemab, Umair; Fratelli, Maddalena; Pavlis, Petr; Hajduch, Marian; Bietrix, Florence; Gribbon, Philip; Zaliani, Andrea; Hall, Matthew D; Shen, Min; Brimacombe, Kyle; Kulesskiy, Evgeny; Saarela, Jani; Wennerberg, Krister; Vähä-Koskela, Markus; Tang, Jing.
  • Tanoli Z; Research Program in Systems Oncology, Faculty of medicine, University of Helsinki, Finland.
  • Aldahdooh J; Research Program in Systems Oncology, Faculty of medicine, University of Helsinki, Finland.
  • Alam F; Research Program in Systems Oncology, Faculty of medicine, University of Helsinki, Finland.
  • Wang Y; Research Program in Systems Oncology, Faculty of medicine, University of Helsinki, Finland.
  • Seemab U; Research Program in Systems Oncology, Faculty of medicine, University of Helsinki, Finland.
  • Fratelli M; Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Italy.
  • Pavlis P; Institute of Molecular and Translational Medicine, Czech.
  • Hajduch M; Institute of Molecular and Translational Medicine, Czech.
  • Bietrix F; European Infrastructure for Translational Medicine, UK.
  • Gribbon P; Fraunhofer Institute for Molecular Biology and Applied Ecology, Germany.
  • Zaliani A; Fraunhofer Institute for Molecular Biology and Applied Ecology, Germany.
  • Hall MD; National Center for Advancing Translational Sciences, USA.
  • Shen M; National Center for Advancing Translational Sciences, USA.
  • Brimacombe K; National Center for Advancing Translational Sciences, USA.
  • Kulesskiy E; Institute for Molecular Medicine Finland, University of Helsinki, Finland.
  • Saarela J; Institute for Molecular Medicine Finland, University of Helsinki, Finland.
  • Wennerberg K; Biotech Research & Innovation Centre (BRIC), University of Copenhagen, Denmark.
  • Vähä-Koskela M; Institute for Molecular Medicine Finland, University of Helsinki, Finland.
  • Tang J; Research Program in Systems Oncology, Faculty of medicine, University of Helsinki, Finland.
Brief Bioinform ; 23(1)2022 01 17.
Article in English | MEDLINE | ID: covidwho-1393161
ABSTRACT
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.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study / Randomized controlled trials Language: English Journal subject: Biology / Medical Informatics Year: 2022 Document Type: Article Affiliation country: Bib

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study / Randomized controlled trials Language: English Journal subject: Biology / Medical Informatics Year: 2022 Document Type: Article Affiliation country: Bib