Whole organism high-content screening by label-free, image-based Bayesian classification for parasitic diseases.
Sole reliance on one drug, Praziquantel, for treatment and control of schistosomiasis raises concerns about development of widespread resistance, prompting renewed interest in the discovery of new anthelmintics. To discover new leads we designed an automated label-free, high content-based, high thro...
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ftdoajarticles:oai:doaj.org/article:4fbeffc48c96427f856dd35cf51c26b1 2023-05-15T15:05:15+02:00 Whole organism high-content screening by label-free, image-based Bayesian classification for parasitic diseases. Ross A Paveley Nuha R Mansour Irene Hallyburton Leo S Bleicher Alex E Benn Ivana Mikic Alessandra Guidi Ian H Gilbert Andrew L Hopkins Quentin D Bickle 2012-01-01T00:00:00Z https://doi.org/10.1371/journal.pntd.0001762 https://doaj.org/article/4fbeffc48c96427f856dd35cf51c26b1 EN eng Public Library of Science (PLoS) http://europepmc.org/articles/PMC3409125?pdf=render https://doaj.org/toc/1935-2727 https://doaj.org/toc/1935-2735 1935-2727 1935-2735 doi:10.1371/journal.pntd.0001762 https://doaj.org/article/4fbeffc48c96427f856dd35cf51c26b1 PLoS Neglected Tropical Diseases, Vol 6, Iss 7, p e1762 (2012) Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 article 2012 ftdoajarticles https://doi.org/10.1371/journal.pntd.0001762 2022-12-31T03:38:14Z Sole reliance on one drug, Praziquantel, for treatment and control of schistosomiasis raises concerns about development of widespread resistance, prompting renewed interest in the discovery of new anthelmintics. To discover new leads we designed an automated label-free, high content-based, high throughput screen (HTS) to assess drug-induced effects on in vitro cultured larvae (schistosomula) using bright-field imaging. Automatic image analysis and Bayesian prediction models define morphological damage, hit/non-hit prediction and larval phenotype characterization. Motility was also assessed from time-lapse images. In screening a 10,041 compound library the HTS correctly detected 99.8% of the hits scored visually. A proportion of these larval hits were also active in an adult worm ex-vivo screen and are the subject of ongoing studies. The method allows, for the first time, screening of large compound collections against schistosomes and the methods are adaptable to other whole organism and cell-based screening by morphology and motility phenotyping. Article in Journal/Newspaper Arctic Directory of Open Access Journals: DOAJ Articles Arctic PLoS Neglected Tropical Diseases 6 7 e1762 |
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Open Polar |
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Directory of Open Access Journals: DOAJ Articles |
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ftdoajarticles |
language |
English |
topic |
Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 |
spellingShingle |
Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 Ross A Paveley Nuha R Mansour Irene Hallyburton Leo S Bleicher Alex E Benn Ivana Mikic Alessandra Guidi Ian H Gilbert Andrew L Hopkins Quentin D Bickle Whole organism high-content screening by label-free, image-based Bayesian classification for parasitic diseases. |
topic_facet |
Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 |
description |
Sole reliance on one drug, Praziquantel, for treatment and control of schistosomiasis raises concerns about development of widespread resistance, prompting renewed interest in the discovery of new anthelmintics. To discover new leads we designed an automated label-free, high content-based, high throughput screen (HTS) to assess drug-induced effects on in vitro cultured larvae (schistosomula) using bright-field imaging. Automatic image analysis and Bayesian prediction models define morphological damage, hit/non-hit prediction and larval phenotype characterization. Motility was also assessed from time-lapse images. In screening a 10,041 compound library the HTS correctly detected 99.8% of the hits scored visually. A proportion of these larval hits were also active in an adult worm ex-vivo screen and are the subject of ongoing studies. The method allows, for the first time, screening of large compound collections against schistosomes and the methods are adaptable to other whole organism and cell-based screening by morphology and motility phenotyping. |
format |
Article in Journal/Newspaper |
author |
Ross A Paveley Nuha R Mansour Irene Hallyburton Leo S Bleicher Alex E Benn Ivana Mikic Alessandra Guidi Ian H Gilbert Andrew L Hopkins Quentin D Bickle |
author_facet |
Ross A Paveley Nuha R Mansour Irene Hallyburton Leo S Bleicher Alex E Benn Ivana Mikic Alessandra Guidi Ian H Gilbert Andrew L Hopkins Quentin D Bickle |
author_sort |
Ross A Paveley |
title |
Whole organism high-content screening by label-free, image-based Bayesian classification for parasitic diseases. |
title_short |
Whole organism high-content screening by label-free, image-based Bayesian classification for parasitic diseases. |
title_full |
Whole organism high-content screening by label-free, image-based Bayesian classification for parasitic diseases. |
title_fullStr |
Whole organism high-content screening by label-free, image-based Bayesian classification for parasitic diseases. |
title_full_unstemmed |
Whole organism high-content screening by label-free, image-based Bayesian classification for parasitic diseases. |
title_sort |
whole organism high-content screening by label-free, image-based bayesian classification for parasitic diseases. |
publisher |
Public Library of Science (PLoS) |
publishDate |
2012 |
url |
https://doi.org/10.1371/journal.pntd.0001762 https://doaj.org/article/4fbeffc48c96427f856dd35cf51c26b1 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
PLoS Neglected Tropical Diseases, Vol 6, Iss 7, p e1762 (2012) |
op_relation |
http://europepmc.org/articles/PMC3409125?pdf=render https://doaj.org/toc/1935-2727 https://doaj.org/toc/1935-2735 1935-2727 1935-2735 doi:10.1371/journal.pntd.0001762 https://doaj.org/article/4fbeffc48c96427f856dd35cf51c26b1 |
op_doi |
https://doi.org/10.1371/journal.pntd.0001762 |
container_title |
PLoS Neglected Tropical Diseases |
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6 |
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7 |
container_start_page |
e1762 |
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1766336993245003776 |