A novel chemogenomic screening platform for scalable antimalarial drug target identification
Bower-Lepts, C. A.; Rawat, M.; Keith, W. C.; Girling, G.; Luth, M. R.; Carolino, K.; Boroviak, K.; Coyle, R.; Schwach, F.; Smidt, C.; Bushell, E.; Moliner-Cubel, S.; Gomez-Lorenzo, M. D. G.; Gamo, F.-J.; Winzeler, E. A.; Billker, O.; Lee, M. C.; Rayner, J. C.
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Large-scale chemical-genetic screening, or chemogenomics, can faciliate rapid and scalable drug target identification. To establish a chemogenomic screen for antimalarial drug target identification, we leveraged [~]600 Plasmodium berghei artificial chromosomes (PbACs) encoding potential drug targets to generate a systematic overexpression library. PbACs were engineered with DNA barcodes, enabling their quantification within mixed pools using next generation sequencing (barcode sequencing or BarSeq). Pooled transfection of PbACs into the highly genetically tractable Plasmodium knowlesi demonstrated efficient vector uptake and transcription of encoded P. berghei genes. Parasite pools were exposed to antimalarial candidates, with pilot screens probing for known gene-compound associations identifying their targets with high sensitivity. Screening antimalarial inhibitors with unknown mechanisms of action successfully identified pi4k as the target for one novel compound, which was subsequently validated using in vitro evolution in Plasmodium falciparum parasites. This sensitive and scalable chemogenomics platform therefore represents a valuable early-stage tool for antimalarial target identification.
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