HRMAn 2.0: Next-generation artificial intelligence-driven analysis for broad host-pathogen interactions.
artificial intelligence
host-pathogen interaction
image analysis
Journal
Cellular microbiology
ISSN: 1462-5822
Titre abrégé: Cell Microbiol
Pays: India
ID NLM: 100883691
Informations de publication
Date de publication:
07 2021
07 2021
Historique:
revised:
21
04
2021
received:
06
03
2021
accepted:
26
04
2021
pubmed:
1
5
2021
medline:
1
1
2022
entrez:
30
4
2021
Statut:
ppublish
Résumé
To study the dynamics of infection processes, it is common to manually enumerate imaging-based infection assays. However, manual counting of events from imaging data is biased, error-prone and a laborious task. We recently presented HRMAn (Host Response to Microbe Analysis), an automated image analysis program using state-of-the-art machine learning and artificial intelligence algorithms to analyse pathogen growth and host defence behaviour. With HRMAn, we can quantify intracellular infection by pathogens such as Toxoplasma gondii and Salmonella in a variety of cell types in an unbiased and highly reproducible manner, measuring multiple parameters including pathogen growth, pathogen killing and activation of host cell defences. Since HRMAn is based on the KNIME Analytics platform, it can easily be adapted to work with other pathogens and produce more readouts from quantitative imaging data. Here we showcase improvements to HRMAn resulting in the release of HRMAn 2.0 and new applications of HRMAn 2.0 for the analysis of host-pathogen interactions using the established pathogen T. gondii and further extend it for use with the bacterial pathogen Chlamydia trachomatis and the fungal pathogen Cryptococcus neoformans.
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
e13349Subventions
Organisme : Wellcome Trust
ID : 217202/Z/19/Z
Pays : United Kingdom
Organisme : Cancer Research UK
ID : FC00107
Pays : United Kingdom
Organisme : Wellcome Trust
ID : FC00107
Pays : United Kingdom
Organisme : NIGMS NIH HHS
ID : T32 GM145449
Pays : United States
Organisme : NIGMS NIH HHS
ID : T32 GM007171
Pays : United States
Informations de copyright
© 2021 The Authors. Cellular Microbiology published by John Wiley & Sons Ltd.
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