High-throughput tracking enables systematic phenotyping and drug repurposing in C. elegans disease models

There are thousands of Mendelian diseases with more being discovered weekly and the majority have no approved treatments. To address this need, we require scalable approaches that are relatively inexpensive compared to traditional drug development. In the absence of a validated drug target, phenotyp...

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Main Authors: Thomas J O'Brien, Ida L Barlow, Luigi Feriani, André EX Brown
Format: Article
Language:English
Published: eLife Sciences Publications Ltd 2025-01-01
Series:eLife
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Online Access:https://elifesciences.org/articles/92491
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author Thomas J O'Brien
Ida L Barlow
Luigi Feriani
André EX Brown
author_facet Thomas J O'Brien
Ida L Barlow
Luigi Feriani
André EX Brown
author_sort Thomas J O'Brien
collection DOAJ
description There are thousands of Mendelian diseases with more being discovered weekly and the majority have no approved treatments. To address this need, we require scalable approaches that are relatively inexpensive compared to traditional drug development. In the absence of a validated drug target, phenotypic screening in model organisms provides a route for identifying candidate treatments. Success requires a screenable phenotype. However, the right phenotype and assay may not be obvious for pleiotropic neuromuscular disorders. Here, we show that high-throughput imaging and quantitative phenotyping can be conducted systematically on a panel of C. elegans disease model strains. We used CRISPR genome-editing to create 25 worm models of human Mendelian diseases and phenotyped them using a single standardised assay. All but two strains were significantly different from wild-type controls in at least one feature. The observed phenotypes were diverse, but mutations of genes predicted to have related functions led to similar behavioural differences in worms. As a proof-of-concept, we performed a drug repurposing screen of an FDA-approved compound library, and identified two compounds that rescued the behavioural phenotype of a model of UNC80 deficiency. Our results show that a single assay to measure multiple phenotypes can be applied systematically to diverse Mendelian disease models. The relatively short time and low cost associated with creating and phenotyping multiple strains suggest that high-throughput worm tracking could provide a scalable approach to drug repurposing commensurate with the number of Mendelian diseases.
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spelling doaj-art-a9d82fa71b3b4b1198c2a9fc4512d5a12025-01-08T13:43:02ZengeLife Sciences Publications LtdeLife2050-084X2025-01-011210.7554/eLife.92491High-throughput tracking enables systematic phenotyping and drug repurposing in C. elegans disease modelsThomas J O'Brien0Ida L Barlow1Luigi Feriani2André EX Brown3https://orcid.org/0000-0002-1324-8764Institute of Clinical Sciences, Imperial College London, London, United Kingdom; MRC London Institute of Medical Sciences, London, United KingdomInstitute of Clinical Sciences, Imperial College London, London, United Kingdom; MRC London Institute of Medical Sciences, London, United KingdomInstitute of Clinical Sciences, Imperial College London, London, United Kingdom; MRC London Institute of Medical Sciences, London, United KingdomInstitute of Clinical Sciences, Imperial College London, London, United Kingdom; MRC London Institute of Medical Sciences, London, United KingdomThere are thousands of Mendelian diseases with more being discovered weekly and the majority have no approved treatments. To address this need, we require scalable approaches that are relatively inexpensive compared to traditional drug development. In the absence of a validated drug target, phenotypic screening in model organisms provides a route for identifying candidate treatments. Success requires a screenable phenotype. However, the right phenotype and assay may not be obvious for pleiotropic neuromuscular disorders. Here, we show that high-throughput imaging and quantitative phenotyping can be conducted systematically on a panel of C. elegans disease model strains. We used CRISPR genome-editing to create 25 worm models of human Mendelian diseases and phenotyped them using a single standardised assay. All but two strains were significantly different from wild-type controls in at least one feature. The observed phenotypes were diverse, but mutations of genes predicted to have related functions led to similar behavioural differences in worms. As a proof-of-concept, we performed a drug repurposing screen of an FDA-approved compound library, and identified two compounds that rescued the behavioural phenotype of a model of UNC80 deficiency. Our results show that a single assay to measure multiple phenotypes can be applied systematically to diverse Mendelian disease models. The relatively short time and low cost associated with creating and phenotyping multiple strains suggest that high-throughput worm tracking could provide a scalable approach to drug repurposing commensurate with the number of Mendelian diseases.https://elifesciences.org/articles/92491computational ethologyDrug repurposingdisease models
spellingShingle Thomas J O'Brien
Ida L Barlow
Luigi Feriani
André EX Brown
High-throughput tracking enables systematic phenotyping and drug repurposing in C. elegans disease models
eLife
computational ethology
Drug repurposing
disease models
title High-throughput tracking enables systematic phenotyping and drug repurposing in C. elegans disease models
title_full High-throughput tracking enables systematic phenotyping and drug repurposing in C. elegans disease models
title_fullStr High-throughput tracking enables systematic phenotyping and drug repurposing in C. elegans disease models
title_full_unstemmed High-throughput tracking enables systematic phenotyping and drug repurposing in C. elegans disease models
title_short High-throughput tracking enables systematic phenotyping and drug repurposing in C. elegans disease models
title_sort high throughput tracking enables systematic phenotyping and drug repurposing in c elegans disease models
topic computational ethology
Drug repurposing
disease models
url https://elifesciences.org/articles/92491
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