Unknown

Dataset Information

An automated high-throughput system for phenotypic screening of chemical libraries on C. elegans and parasitic nematodes.


ABSTRACT: Parasitic nematodes infect hundreds of millions of people and farmed livestock. Further, plant parasitic nematodes result in major crop damage. The pipeline of therapeutic compounds is limited and parasite resistance to the existing anthelmintic compounds is a global threat. We have developed an INVertebrate Automated Phenotyping Platform (INVAPP) for high-throughput, plate-based chemical screening, and an algorithm (Paragon) which allows screening for compounds that have an effect on motility and development of parasitic worms. We have validated its utility by determining the efficacy of a panel of known anthelmintics against model and parasitic nematodes: Caenorhabditis elegans, Haemonchus contortus, Teladorsagia circumcincta, and Trichuris muris. We then applied the system to screen the

SUBMITTER: Partridge FA 

PROVIDER: S-EPMC5734697 | biostudies-literature | 2018 Apr

REPOSITORIES: biostudies-literature