Author Correction: Caenorhabditis elegans is a useful model for anthelmintic discovery
Autor: | Corey Nislow, Genna M. Luciani, Sean R. Cutler, Yuqian Zhang, G. Angus McQuibban, Peter J. Roy, John Glavin, Mike Tyers, Guri Giaever, Conor R. Caffrey, Luckshi Rajendran, Gabriel Musso, Rachel Bagg, Andrew G. Fraser, John S. Gilleard, Andrew R. Burns, Michael R Schertzberg, Elizabeth Redman, May Yeo, Susan Stasiuk, Calum A. MacRae, Robert Hunter |
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Rok vydání: | 2020 |
Předmět: | |
Zdroj: | Nature Communications Nature Communications, Vol 11, Iss 1, Pp 1-1 (2020) |
ISSN: | 2041-1723 |
Popis: | Parasitic nematodes infect one quarter of the world's population and impact all humans through widespread infection of crops and livestock. Resistance to current anthelmintics has prompted the search for new drugs. Traditional screens that rely on parasitic worms are costly and labour intensive and target-based approaches have failed to yield novel anthelmintics. Here, we present our screen of 67,012 compounds to identify those that kill the non-parasitic nematode Caenorhabditis elegans. We then rescreen our hits in two parasitic nematode species and two vertebrate models (HEK293 cells and zebrafish), and identify 30 structurally distinct anthelmintic lead molecules. Genetic screens of 19 million C. elegans mutants reveal those nematicides for which the generation of resistance is and is not likely. We identify the target of one lead with nematode specificity and nanomolar potency as complex II of the electron transport chain. This work establishes C. elegans as an effective and cost-efficient model system for anthelmintic discovery. Screening for new anthelmintic compounds that are active against parasitic nematodes is costly and labour intensive. Here, the authors use the non-parasitic nematode Caenorhabditis elegans to identify 30 anthelmintic lead compounds in an effective and cost-efficient manner. |
Databáze: | OpenAIRE |
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