Cell painting transfer increases screening hit rate. (3rd March 2023)
- Record Type:
- Journal Article
- Title:
- Cell painting transfer increases screening hit rate. (3rd March 2023)
- Main Title:
- Cell painting transfer increases screening hit rate
- Authors:
- Cohen, Ethan
Corbe, Maxime
Franco, Cláudio A.
Vasconcelos, Francisca F.
Perez, Franck
Del Nery, Elaine
Bollot, Guillaume
Genovesio, Auguste - Abstract:
- Abstract: Drug discovery uses high throughput screening to identify compounds that interact with a molecular target or that alter a phenotype favorably. The cautious selection of molecules used for such a screening is instrumental and is tightly related to the hit rate. In this work, we wondered if cell painting, a general-purpose image-based assay, could be used as an efficient proxy for compound selection, thus increasing the success rate of a specific assay. To this end, we considered cell painting images with 30, 000 molecules treatments, and selected compounds that produced a visual effect close to the positive control of an assay, by using the Frechet Inception Distance. We then compared the hit rates of such a preselection with what was actually obtained in real screening campaigns. As a result, cell painting would have permitted a significant increase in the success rate and, even for one of the assays, would have allowed to reach 80% of the hits with 10 times fewer compounds to test. We conclude that images of a cell painting assay can be directly used for compound selection prior to screening, and we provide a simple quantitative approach in order to do so.
- Is Part Of:
- Biological imaging. Volume 3(2023)
- Journal:
- Biological imaging
- Issue:
- Volume 3(2023)
- Issue Display:
- Volume 3, Issue 2023 (2023)
- Year:
- 2023
- Volume:
- 3
- Issue:
- 2023
- Issue Sort Value:
- 2023-0003-2023-0000
- Page Start:
- Page End:
- Publication Date:
- 2023-03-03
- Subjects:
- high content screening -- transfer learning -- cell painting -- drug discovery
Imaging systems in biology -- Periodicals
570.28 - Journal URLs:
- https://www.cambridge.org/core/journals/biological-imaging ↗
- DOI:
- 10.1017/S2633903X23000077 ↗
- Languages:
- English
- ISSNs:
- 2633-903X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 26174.xml