Minimal information for chemosensitivity assays (MICHA): a next-generation pipeline to enable the FAIRification of drug screening experiments. Issue 1 (1st September 2021)
- Record Type:
- Journal Article
- Title:
- Minimal information for chemosensitivity assays (MICHA): a next-generation pipeline to enable the FAIRification of drug screening experiments. Issue 1 (1st September 2021)
- Main Title:
- Minimal information for chemosensitivity assays (MICHA): a next-generation pipeline to enable the FAIRification of drug screening experiments
- Authors:
- 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 - Abstract:
- 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.
- Is Part Of:
- Briefings in bioinformatics. Volume 23:Issue 1(2022)
- Journal:
- Briefings in bioinformatics
- Issue:
- Volume 23:Issue 1(2022)
- Issue Display:
- Volume 23, Issue 1 (2022)
- Year:
- 2022
- Volume:
- 23
- Issue:
- 1
- Issue Sort Value:
- 2022-0023-0001-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-09-01
- Subjects:
- drug discovery -- drug sensitivity assays -- data integration tools -- FAIR research data
Genetics -- Data processing -- Periodicals
Molecular biology -- Data processing -- Periodicals
Genomes -- Data processing -- Periodicals
572.80285 - Journal URLs:
- http://bib.oxfordjournals.org ↗
http://www.oxfordjournals.org/content?genre=journal&issn=1477-4054 ↗
http://ukcatalogue.oup.com/ ↗
http://firstsearch.oclc.org ↗ - DOI:
- 10.1093/bib/bbab350 ↗
- Languages:
- English
- ISSNs:
- 1467-5463
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 2283.958363
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 20639.xml