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wrmXpress: A modular package for high-throughput image analysis of parasitic and free-living worms
Advances in high-throughput and high-content imaging technologies require concomitant development of analytical software capable of handling large datasets and generating relevant phenotypic measurements. Several tools have been developed to analyze drug response phenotypes in parasitic and free-liv...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9718391/ https://www.ncbi.nlm.nih.gov/pubmed/36399491 http://dx.doi.org/10.1371/journal.pntd.0010937 |
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author | Wheeler, Nicolas J. Gallo, Kendra J. Rehborg, Elena J. G. Ryan, Kaetlyn T. Chan, John D. Zamanian, Mostafa |
author_facet | Wheeler, Nicolas J. Gallo, Kendra J. Rehborg, Elena J. G. Ryan, Kaetlyn T. Chan, John D. Zamanian, Mostafa |
author_sort | Wheeler, Nicolas J. |
collection | PubMed |
description | Advances in high-throughput and high-content imaging technologies require concomitant development of analytical software capable of handling large datasets and generating relevant phenotypic measurements. Several tools have been developed to analyze drug response phenotypes in parasitic and free-living worms, but these are siloed and often limited to specific instrumentation, worm species, and single phenotypes. No unified tool exists to analyze diverse high-content phenotypic imaging data of worms and provide a platform for future extensibility. We have developed wrmXpress, a unified framework for analyzing a variety of phenotypes matched to high-content experimental assays of free-living and parasitic nematodes and flatworms. We demonstrate its utility for analyzing a suite of phenotypes, including motility, development/size, fecundity, and feeding, and establish the package as a platform upon which to build future custom phenotypic modules. We show that wrmXpress can serve as an analytical workhorse for anthelmintic screening efforts across schistosomes, filarial nematodes, and free-living model nematodes and holds promise for enabling collaboration among investigators with diverse interests. |
format | Online Article Text |
id | pubmed-9718391 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-97183912022-12-03 wrmXpress: A modular package for high-throughput image analysis of parasitic and free-living worms Wheeler, Nicolas J. Gallo, Kendra J. Rehborg, Elena J. G. Ryan, Kaetlyn T. Chan, John D. Zamanian, Mostafa PLoS Negl Trop Dis Research Article Advances in high-throughput and high-content imaging technologies require concomitant development of analytical software capable of handling large datasets and generating relevant phenotypic measurements. Several tools have been developed to analyze drug response phenotypes in parasitic and free-living worms, but these are siloed and often limited to specific instrumentation, worm species, and single phenotypes. No unified tool exists to analyze diverse high-content phenotypic imaging data of worms and provide a platform for future extensibility. We have developed wrmXpress, a unified framework for analyzing a variety of phenotypes matched to high-content experimental assays of free-living and parasitic nematodes and flatworms. We demonstrate its utility for analyzing a suite of phenotypes, including motility, development/size, fecundity, and feeding, and establish the package as a platform upon which to build future custom phenotypic modules. We show that wrmXpress can serve as an analytical workhorse for anthelmintic screening efforts across schistosomes, filarial nematodes, and free-living model nematodes and holds promise for enabling collaboration among investigators with diverse interests. Public Library of Science 2022-11-18 /pmc/articles/PMC9718391/ /pubmed/36399491 http://dx.doi.org/10.1371/journal.pntd.0010937 Text en © 2022 Wheeler et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Wheeler, Nicolas J. Gallo, Kendra J. Rehborg, Elena J. G. Ryan, Kaetlyn T. Chan, John D. Zamanian, Mostafa wrmXpress: A modular package for high-throughput image analysis of parasitic and free-living worms |
title | wrmXpress: A modular package for high-throughput image analysis of parasitic and free-living worms |
title_full | wrmXpress: A modular package for high-throughput image analysis of parasitic and free-living worms |
title_fullStr | wrmXpress: A modular package for high-throughput image analysis of parasitic and free-living worms |
title_full_unstemmed | wrmXpress: A modular package for high-throughput image analysis of parasitic and free-living worms |
title_short | wrmXpress: A modular package for high-throughput image analysis of parasitic and free-living worms |
title_sort | wrmxpress: a modular package for high-throughput image analysis of parasitic and free-living worms |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9718391/ https://www.ncbi.nlm.nih.gov/pubmed/36399491 http://dx.doi.org/10.1371/journal.pntd.0010937 |
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