Literature DB >> 31498718

Cytotoxic Profiling of Annotated and Diverse Chemical Libraries Using Quantitative High-Throughput Screening.

Olivia W Lee1, Shelley Austin1, Madison Gamma1, Dorian M Cheff1, Tobie D Lee1, Kelli M Wilson1, Joseph Johnson1, Jameson Travers1, John C Braisted1, Rajarshi Guha1, Carleen Klumpp-Thomas1, Min Shen1, Matthew D Hall1.   

Abstract

Cell-based phenotypic screening is a commonly used approach to discover biological pathways, novel drug targets, chemical probes, and high-quality hit-to-lead molecules. Many hits identified from high-throughput screening campaigns are ruled out through a series of follow-up potency, selectivity/specificity, and cytotoxicity assays. Prioritization of molecules with little or no cytotoxicity for downstream evaluation can influence the future direction of projects, so cytotoxicity profiling of screening libraries at an early stage is essential for increasing the likelihood of candidate success. In this study, we assessed the cell-based cytotoxicity of nearly 10,000 compounds in the National Institutes of Health, National Center for Advancing Translational Sciences annotated libraries and more than 100,000 compounds in a diversity library against four normal cell lines (HEK 293, NIH 3T3, CRL-7250, and HaCat) and one cancer cell line (KB 3-1, a HeLa subline). This large-scale library profiling was analyzed for overall screening outcomes, hit rates, pan-activity, and selectivity. For the annotated library, we also examined the primary targets and mechanistic pathways regularly associated with cell death. To our knowledge, this is the first study to use high-throughput screening to profile a large screening collection (>100,000 compounds) for cytotoxicity in both normal and cancer cell lines. The results generated here constitute a valuable resource for the scientific community and provide insight into the extent of cytotoxic compounds in screening libraries, allowing for the identification and avoidance of compounds with cytotoxicity during high-throughput screening campaigns.

Entities:  

Keywords:  cancer and cancer drugs; cell-based assays; cytotoxicity; profiling; ultra-high-throughput screening

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Year:  2019        PMID: 31498718     DOI: 10.1177/2472555219873068

Source DB:  PubMed          Journal:  SLAS Discov        ISSN: 2472-5552            Impact factor:   3.341


  3 in total

1.  Predictive models for estimating cytotoxicity on the basis of chemical structures.

Authors:  Hongmao Sun; Yuhong Wang; Dorian M Cheff; Matthew D Hall; Min Shen
Journal:  Bioorg Med Chem       Date:  2020-03-12       Impact factor: 3.641

Review 2.  Nuisance compounds in cellular assays.

Authors:  Jayme L Dahlin; Douglas S Auld; Ina Rothenaigner; Steve Haney; Jonathan Z Sexton; J Willem M Nissink; Jarrod Walsh; Jonathan A Lee; John M Strelow; Francis S Willard; Lori Ferrins; Jonathan B Baell; Michael A Walters; Bruce K Hua; Kamyar Hadian; Bridget K Wagner
Journal:  Cell Chem Biol       Date:  2021-02-15       Impact factor: 8.116

3.  Discovery of an Anion-Dependent Farnesyltransferase Inhibitor from a Phenotypic Screen.

Authors:  Marina Bukhtiyarova; Erica M Cook; Paula J Hancock; Alan W Hruza; Anthony W Shaw; Gregory C Adam; Richard J O Barnard; Philip M McKenna; M Katharine Holloway; Ian M Bell; Steve Carroll; Ivan Cornella-Taracido; Christopher D Cox; Peter S Kutchukian; David A Powell; Corey Strickland; B Wesley Trotter; Matthew Tudor; Scott Wolkenberg; Jing Li; David M Tellers
Journal:  ACS Med Chem Lett       Date:  2020-12-23       Impact factor: 4.345

  3 in total

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