A Fully Automated High-Throughput Flow Cytometry Screening System Enabling Phenotypic Drug Discovery. (August 2018)
- Record Type:
- Journal Article
- Title:
- A Fully Automated High-Throughput Flow Cytometry Screening System Enabling Phenotypic Drug Discovery. (August 2018)
- Main Title:
- A Fully Automated High-Throughput Flow Cytometry Screening System Enabling Phenotypic Drug Discovery
- Authors:
- Joslin, John
Gilligan, James
Anderson, Paul
Garcia, Catherine
Sharif, Orzala
Hampton, Janice
Cohen, Steven
King, Miranda
Zhou, Bin
Jiang, Shumei
Trussell, Christopher
Dunn, Robert
Fathman, John W.
Snead, Jennifer L.
Boitano, Anthony E.
Nguyen, Tommy
Conner, Michael
Cooke, Mike
Harris, Jennifer
Ainscow, Ed
Zhou, Yingyao
Shaw, Chris
Sipes, Dan
Mainquist, James
Lesley, Scott - Other Names:
- Ding Mei guest-editor.
Edwards Bruce S. guest-editor. - Abstract:
- The goal of high-throughput screening is to enable screening of compound libraries in an automated manner to identify quality starting points for optimization. This often involves screening a large diversity of compounds in an assay that preserves a connection to the disease pathology. Phenotypic screening is a powerful tool for drug identification, in that assays can be run without prior understanding of the target and with primary cells that closely mimic the therapeutic setting. Advanced automation and high-content imaging have enabled many complex assays, but these are still relatively slow and low throughput. To address this limitation, we have developed an automated workflow that is dedicated to processing complex phenotypic assays for flow cytometry. The system can achieve a throughput of 50, 000 wells per day, resulting in a fully automated platform that enables robust phenotypic drug discovery. Over the past 5 years, this screening system has been used for a variety of drug discovery programs, across many disease areas, with many molecules advancing quickly into preclinical development and into the clinic. This report will highlight a diversity of approaches that automated flow cytometry has enabled for phenotypic drug discovery.
- Is Part Of:
- SLAS discovery. Volume 23:Number 7(2018)
- Journal:
- SLAS discovery
- Issue:
- Volume 23:Number 7(2018)
- Issue Display:
- Volume 23, Issue 7 (2018)
- Year:
- 2018
- Volume:
- 23
- Issue:
- 7
- Issue Sort Value:
- 2018-0023-0007-0000
- Page Start:
- 697
- Page End:
- 707
- Publication Date:
- 2018-08
- Subjects:
- high-throughput flow cytometry -- phenotypic screening -- high-throughput screening -- drug discovery
Drugs -- Analysis -- Periodicals
Drugs -- Testing -- Periodicals
Biomolecules -- Analysis -- Periodicals
Biomolecules -- Analysis
Drugs -- Analysis
Drugs -- Testing
Drug Evaluation, Preclinical
Molecular Biology -- methods
Periodicals
Periodicals
615.1 - Journal URLs:
- http://journals.sagepub.com/home/jbx ↗
https://www.sciencedirect.com/journal/slas-discovery/ ↗
http://www.sagepublications.com/ ↗
https://www.journals.elsevier.com/slas-discovery ↗ - DOI:
- 10.1177/2472555218773086 ↗
- Languages:
- English
- ISSNs:
- 2472-5552
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 8522.xml