Evidence map›Paper›PMID 41479061›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2026

Invertebrate Automated Phenotyping Platform (INVAPP): An Automated High-Throughput System with Applications in Understanding and Combating Human Diseases.

Steven D Buckingham, David A Lomas, David B Sattelle

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Article in Methods in molecular biology (Clifton, N.J.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Steven D BuckinghamSchool of Biological and Behavioural Sciences, Fogg Building, Queen Mary University of London, London, UK.
David A LomasCentre for Respiratory Biology, University College London, London, UK.
David B SattelleCentre for Respiratory Biology, University College London, London, UK. d.sattelle@ucl.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The nematode Caenorhabditis elegans is a eukaryotic genetic model organism introduced for studies of animal development and behavior (Brenner S, Genetics 77:71-94, 1974). It is also proving useful to expedite our understanding of human diseases and to explore potential therapies (Ahringer J, Curr Opin Genet Dev 7:410-415, 1997; Culetto E, Sattelle DB, Hum Mol Genet 9:869-877, 2000). Monitoring phenotypic changes and the impact of drug candidates is particularly convenient in the case of C. elegans models of neuromuscular or neurological disorders, where changes in motility and growth are often easily observed and can be conveniently assayed. We therefore developed an Invertebrate Automated Phenotyping Platform (INVAPP) together with an algorithm (Paragon) to facilitate such work (Buckingham SD, Partridge FA, Sattelle DB, Int J Parasitol Drugs Drug Resist Int J Parasitol Drugs Drug Resist 4:226-232, 2014; Partridge FA, Brown AE, Buckingham SD, Willis NJ, Wynne GM, Forman R et al., Int J Parasitol Drugs Drug Resist 8:8-21, 2018). Similarly, in the search for novel chemicals to combat invertebrate pathogens, such as parasitic worms, and disease vectors, such as the mosquito that serves as the malaria parasite vector, the phenotyping of worms and insects in the presence of new candidate drugs and control chemicals (anthelmintics and insecticides) can be extremely useful. This is especially important in view of the current challenges in controlling the malaria vector Anopheles gambiae and the soil-transmitted helminth, the whipworm Trichuris trichiura. For example, the development of resistance to the hitherto highly successful pyrethroid insecticides threatens the impressive gains made by the deployment of insecticide-treated nets (ITNs) and indoor residual sprays (IRS) in reducing malaria cases in the period 2000-2015. Also, there is a need for new anthelmintic drugs to combat soil-transmitted helminths such as whipworm, now that the widely used benzimidazoles are becoming much less effective. In both cases, automated phenotyping assays have a role to play. Here, we describe the use of a simple invertebrate automated phenotyping system and provide some examples that illustrate its utility.

Indexed as

Caenorhabditis elegansHigh-Throughput Screening AssaysAlgorithmsAnimalsHumansPhenotypeAnthelmintic drugsAutomated phenotypingChemical screeningHuman genetic and infectious diseasesInsecticides

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.