High-content imaging for automated determination of host-cell infection rate by the intracellular parasite Trypanosoma cruzi.
Parasitol Int
; 59(4): 565-70, 2010 Dec.
Article
de En
| MEDLINE
| ID: mdl-20688189
ABSTRACT
Chagas disease affects 8-11 million people, mostly in Latin America. Sequelae include cardiac, peripheral nervous and/or gastrointestinal disorders, thus placing a large economic and social burden on endemic countries. The pathogenesis and the evolutive pattern of the disease are not fully clarified. Moreover, available drugs are partially effective and toxic, and there is no vaccine. Therefore, there is an urgent need to speed up basic and translational research in the field. Here, we applied automated high-content imaging to generate multiparametric data on a cell-by-cell basis to precisely and quickly determine several parameters associated with in vitro infection of host cell by Trypanosoma cruzi, the causative agent of Chagas disease. Automated and manual quantifications were used to determine the percentage of T. cruzi-infected cells in a 96-well microplate format and the data generated was statistically evaluated. Most importantly, this automated approach can be widely applied for discovery of potential drugs as well as molecular pathway elucidation not only in T. cruzi but also in other human intracellular pathogens.
Texte intégral:
1
Collection:
01-internacional
Base de données:
MEDLINE
Sujet principal:
Trypanosoma cruzi
/
Traitement d'image par ordinateur
/
Fibroblastes
/
Interactions hôte-parasite
Type d'étude:
Evaluation_studies
Limites:
Animals
/
Humans
Langue:
En
Journal:
Parasitol Int
Sujet du journal:
PARASITOLOGIA
Année:
2010
Type de document:
Article
Pays d'affiliation:
États-Unis d'Amérique