title: Identification of inhibitors of bacterial transcription/translation machinery utilizing a miniaturized 1536-well format screen.
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.
authors.affiliation: Leads Discovery Department, Dupont Pharmaceuticals Company, Wilmington, DE 19880, USA. Ilona.Kariv@Dupontpharma.com
authors.forename: I
authors.initials: I
authors.lastname: Kariv
authors.forename: H
authors.initials: H
authors.lastname: Cao
authors.forename: P D
authors.initials: PD
authors.lastname: Marvil
authors.forename: E V
authors.initials: EV
authors.lastname: Bobkova
authors.forename: Y E
authors.initials: YE
authors.lastname: Bukhtiyarov
authors.forename: Y P
authors.initials: YP
authors.lastname: Yan
authors.forename: U
authors.initials: U
authors.lastname: Patel
authors.forename: L
authors.initials: L
authors.lastname: Coudurier
authors.forename: T D
authors.initials: TD
authors.lastname: Chung
authors.forename: K R
authors.initials: KR
authors.lastname: Oldenburg
mesh_terms: D001419:Bacteria / Q000235:genetics* / Q000378:metabolism*; D004305:Dose-Response Relationship, Drug; D004353:Drug Evaluation, Preclinical / Q000379:methods*; D015723:Gene Library; D017930:Genes, Reporter; D007091:Image Processing, Computer-Assisted; D020128:Inhibitory Concentration 50; D008156:Luciferases / Q000378:metabolism; D008163:Luminescent Measurements; D014176:Protein Biosynthesis; D013997:Time Factors; D014158:Transcription, Genetic
chemical_list: D008156:Luciferases