Literature DB >> 11689123

Identification of inhibitors of bacterial transcription/translation machinery utilizing a miniaturized 1536-well format screen.

I Kariv1, H Cao, P D Marvil, E V Bobkova, Y E Bukhtiyarov, Y P Yan, U Patel, L Coudurier, T D Chung, K R Oldenburg.   

Abstract

This report presents the miniaturization of a HTS screen to identify inhibitors of prokaryotic transcription-translation in a 1536-well format. The in vitro assay design utilized the bacterial expression machinery to drive expression of a firefly luciferase reporter gene, which was read as an endpoint luminesence measurement. This multicomponent system permits identification of inhibitors at different steps in this pathway. Successful miniaturization required integration of homogeneous assay formats, robust liquid-handling workstations, and second-generation imaging systems. Comparison of data from a triplicate 1536-well screen of a subset of a target library that had been previously validated and followed up for hit confirmation in a 384-well plate format confirmed that triplicate screening yields data of higher confidence and quality, eliminates the time-consuming and potentially error-prone step of cherry-picking, and reduces the number of false positives and negatives. The substantial savings of reagents and reduction of the numbers of plates to process obtained in a 1536-well format as compared to a 384-well format allowed a full triplicate evaluation of the entire library of 183,000 compounds at lower cost and in less time. The triplicate-screen statistics are consistent with a highly reliable data set with a coefficient of variation of 14.8% and Z' and Z values of 0.57 and 0.25, respectively. This screen resulted in the identification of 1,149 hits (0.63% hit rate), representing a compound population at 2.5 standard deviations from the mean cutoff. Furthermore, the data demonstrate good agreement between IC(50) values derived for this assay in a 1536-well format and 384-well format.

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Year:  2001        PMID: 11689123     DOI: 10.1177/108705710100600405

Source DB:  PubMed          Journal:  J Biomol Screen        ISSN: 1087-0571


  4 in total

1.  Novel approach to mapping of resistance mutations in whole genomes by using restriction enzyme modulation of transformation efficiency.

Authors:  Claude G Lerner; Stephan J Kakavas; Christian Wagner; Richard T Chang; Philip J Merta; Xiaoan Ruan; Randy E Metzger; Bruce A Beutel
Journal:  Antimicrob Agents Chemother       Date:  2005-07       Impact factor: 5.191

2.  Identification of novel inhibitors of bacterial translation elongation factors.

Authors:  Maithri M K Jayasekera; Keysha Onheiber; John Keith; Hariharan Venkatesan; Alejandro Santillan; Emily M Stocking; Liu Tang; Jennifer Miller; Leslie Gomez; Brooke Rhead; Tavner Delcamp; Shaoming Huang; Ronald Wolin; Ekaterina V Bobkova; Karen Joy Shaw
Journal:  Antimicrob Agents Chemother       Date:  2005-01       Impact factor: 5.191

3.  Microscale Adaptation of In Vitro Transcription/Translation for High-Throughput Screening of Natural Product Extract Libraries.

Authors:  Andrew N Lowell; Nicholas Santoro; Steven M Swaney; Thomas J McQuade; Pamela J Schultz; Martha J Larsen; David H Sherman
Journal:  Chem Biol Drug Des       Date:  2015-07-25       Impact factor: 2.817

4.  Miniaturization of gene transfection assays in 384- and 1536-well microplates.

Authors:  Jing Li; Samuel T Crowley; Jason Duskey; Sanjib Khargharia; Meng Wu; Kevin G Rice
Journal:  Anal Biochem       Date:  2014-10-14       Impact factor: 3.365

  4 in total

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