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Queme, B.

Publications and source records attributed to Queme, B..

2 recordsLinked to original sources

In vivo quantitative high-throughput screening for drug discovery and comparative toxicology

Quantitative high-throughput screening (qHTS) evaluates the pharmacology of drug and investigational agent libraries for potential therapeutic uses, toxicological risk assessment, and increasingly for academic chemical tool discovery. Phenotypic HTS assays aim to interrogate molecular pathways and networks, often relying on cell culture systems, historically with less emphasis on multicellular organisms. C. elegans has served as a powerful eukaryotic model organism for human biology and disease by virtue of genetic conservation and experimental tractability. Here we describe a paradigm to enable C. elegans in qHTS using 384-well microtiter plate laser scanning cytometry. GFP-expressing organisms are used to reveal phenotype-modifying structure-activity relationships to guide subsequent life stages and proteomic analysis. E. coli bacterial ghosts, a non-replicating nutrient source, allow compound exposures over 7-days spanning two life cycles to mitigate complications from bacterial overgrowth. We demonstrate the method with a library composed of anti-infective agents, or molecules of general toxicological concern. Each was tested in 7-point titration to assess the feasibility of nematode-based in vivo qHTS, and examples of follow-up strategies were provided to study organism-based chemotype selectivity and subsequent network perturbations having a physiological impact. We anticipate a broader application of this qHTS-coupled proteomics approach will enable the analysis of C. elegans orthologous transgenic phenotypes of human pathologies to facilitate drug and probe profiling from high-impact chemical libraries for a range of therapeutic indications and study of potential toxicological signatures. Graphic Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=159 SRC="FIGDIR/small/505462v1_ufig1.gif" ALT="Figure 1"> View larger version (52K): org.highwire.dtl.DTLVardef@7ef320org.highwire.dtl.DTLVardef@8bc35corg.highwire.dtl.DTLVardef@1c6f446org.highwire.dtl.DTLVardef@cf56f1_HPS_FORMAT_FIGEXP M_FIG C_FIG

pharmacology and toxicology↗

qHTSWaterfall: 3-dimensional visualization software for quantitative high-throughput screening (qHTS) data

High throughput screening (HTS) is widely used in drug discovery and chemical biology to identify and characterize agents having pharmacologic properties often by evaluation of large chemical libraries. Standard HTS data can be simply plotted as an x-y graph usually represented as % activity of a compound tested at a single concentration vs compound ID, whereas quantitative HTS (qHTS) data incorporates a third axis represented by concentration. By virtue of the additional data points arising from the compound titration and the incorporation of logistic fit parameters that define the concentration-response curve, such as EC50 and Hill slope, qHTS data has been challenging to display on a single graph. Here we provide a flexible solution to the rapid plotting of complete qHTS data sets to produce a 3-axis plot we call qHTS Waterfall Plots. The software described here can be generally applied to any 3-axis dataset and is available as both an R package and an R shiny application.

bioinformatics↗