R Script Approach to Infer Toxoplasma Infection Mechanisms From Microarrays and Domain-Domain Protein Interactions.

Area of Science:

• Microbiology
• Bioinformatics
• Immunology

Background:

• Pathogen-host protein-protein interactions are crucial for understanding infection dynamics.
• Pathogen proteins can manipulate host systems for survival and replication.
• Toxoplasma gondii poses a significant threat, necessitating research into its interaction mechanisms.

Purpose of the Study:

• To develop and apply an R script for inferring pathogen-host interactions.
• To identify pathogen survival mechanisms in the Toxoplasma-host system.
• To uncover novel proteins and pathways involved in toxoplasmosis.

Main Methods:

• Designed an R script combining rowDM and rowCVmed functions.
• Utilized microarray data from human, mouse, and Toxoplasma Gene Expression Omnibus series.
• Performed host gene enrichment analysis and domain-domain interaction analysis.

Main Results:

• Identified Toxoplasma ROP38 as the most differentially expressed protein.
• Discovered that Toxoplasma infection affects human retinal genes related to anti-apoptotic mechanisms.
• Proposed PIK3R1, PRKCA, PRKCG, PRKCB, HRAS, and c-JUN as potential substrates for ROP38.

Conclusions:

• The R script effectively infers pathogen-host interactions and identifies novel pathogenic factors.
• Toxoplasma manipulates host anti-apoptotic pathways, contributing to pathogenesis.
• ROP38 and its potential substrates represent promising targets for therapeutic intervention.