Dataset Information

Stimulation of Host Immune Defenses by a Small Molecule Protects C. elegans from Bacterial Infection

ABSTRACT: The nematode Caenorhabditis elegans offers currently untapped potential for carrying out high-throughput, live-animal screens of low molecular weight compound libraries to identify molecules that target a variety of cellular processes. We previously used a bacterial infection assay in C. elegans to identify 119 compounds that affect host-microbe interactions among 37,214 tested. We subsequently found that one of these small molecules, RPW-24, protects C. elegans from bacterial infection by stimulating the host immune response of the nematode. Using transcriptome profiling, epistasis pathway analyses with C. elegans mutants, and an RNAi screen, we showed that RPW-24 promotes resistance to Pseudomonas aeruginosa infection by inducing the transcription of a remarkably small number of C. elegans genes (~1.3% of all genes) in a manner that partially depends on the evolutionarily-conserved p38 MAP kinase pathway and the transcription factor ATF-7. These data demonstrated that the immunostimulatory activity of RPW-24 is required for its efficacy and define a novel C. elegans-based strategy to identify compounds with activity against antibiotic-resistant bacterial pathogens. Here we present the microarray data that were used to define the genes that are differentially regulated in wild-type nematodes following exposure to RPW-24.

ORGANISM(S): Caenorhabditis elegans

PROVIDER: GSE37266 | GEO | 2012/04/14

SECONDARY ACCESSION(S): PRJNA159217

REPOSITORIES: GEO

ACCESS DATA

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Project description:Quantitative high-throughput screening (qHTS) pharmacologically evaluates libraries of drugs and investigational agents for potential therapeutic uses, toxicological risk assessment, and increasingly for academic chemical tool discovery. Phenotypic HTS assays aim to interrogate molecular pathways and networks, often relying on cell culture systems, historically with less emphasis on multicellular organisms. C. elegans has served as a powerful eukaryotic model organism for human biology and disease by virtue of genetic conservation and experimental tractability. Here we describe a paradigm to enable C. elegans in qHTS using 384-well microtiter plate laser scanning cytometry for rapid signal acquisition with concurrent quantification of the fluorescent protein-expressing organism to select phenotype-modifying compounds for subsequent life-stage and proteomic analysis. E. coli bacterial ghosts, a non-replicating nutrient, allow compound exposures over 7-days spanning two life cycles to mitigate complications from bacterial overgrowth. We demonstrate the method using 643 anti-infective biased agents tested in 7-pt titration to assess feasibility of nematode-based in vivo qHTS. A pharmacological profile from the primary screen confirmed the efficacy of known anti-parasitic molecules, such as ivermectin and levamisole as well as illuminating anthelmintic properties of general chemical classes, including MEK, -secretase, bromodomain and proteasome inhibitors. Subsequent life-stage and proteomics analysis helped elucidate the physiologic consequence of specific compounds on C. elegans viability. For example, bortezomib induced a parallel upregulation of core proteasome subunits and the transcription factor skn-1-activating DDI aspartyl protease, while the kinase inhibitor trametinib upregulated the C. elegans MEK-1 ortholog, Mnk-1, downstream aminoacyl tRNA synthetases and ribosomal survival pathway proteins. We anticipate a broader application of this qHTS-coupled proteomics approach will enable the analysis of C. elegans orthologous transgenic phenotypes of human pathologies to facilitate drug and probe profiling from high-impact chemical libraries for a range of therapeutic indications.

Dataset Information

Stimulation of Host Immune Defenses by a Small Molecule Protects C. elegans from Bacterial Infection

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets