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Proteomics

Proteomics

A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
Proteomics is the study of proteomes' function. It involves the large-scale systematic study of the proteome to denote the protein complement expressed by a genome. Scientist Mark Wilkins coined the term...

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Updated: Mar 20, 2026

Label-Free Quantitative Proteomics Workflow for Discovery-Driven Host-Pathogen Interactions

Label-Free Quantitative Proteomics Workflow for Discovery-Driven Host-Pathogen Interactions

Published on: October 20, 2020

High-throughput proteomics and the fight against pathogens.

Anita Horvatić¹, Josipa Kuleš¹, Nicolas Guillemin¹

¹ERA Chair VetMedZg Project, Internal Diseases Clinic, Faculty of Veterinary Medicine, University of Zagreb, Heinzelova 55, 10 000 Zagreb, Croatia. horvatic.ani@gmail.com.

Molecular Biosystems

|May 27, 2016

Summary

Understanding host-pathogen protein interactions is key to developing new therapeutics for infectious diseases. This review explores high-throughput proteomics and in silico modeling for systems veterinary medicine and vaccine development.

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Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification

Published on: November 15, 2017

Area of Science:

Veterinary Medicine
Infectious Diseases
Proteomics

Background:

Pathogens threaten human and animal health, necessitating novel therapeutic strategies.
Understanding host-pathogen protein-protein interactions is crucial for combating infectious diseases.

Purpose of the Study:

To review high-throughput mass spectrometry-based technologies for monitoring protein-protein interactions.
To discuss pathogen cultivation, model host cells, and bioinformatics tools for vaccine development.
To highlight the emerging field of 'systems veterinary medicine'.

Main Methods:

High-throughput proteomic methodologies for identifying interacting proteins.
In silico modeling to correlate proteomic data with other omics and clinical outcomes.
In vitro and in vivo protein-protein interaction monitoring using mass spectrometry.

Main Results:

Identification of critical 'hot-spots' in host-pathogen interactomes for therapeutic targeting.
Holistic insight into inter- and intra-species molecular interactions.
Established a foundation for applying systems biology approaches to veterinary infectious diseases.

Conclusions:

Extrapolating expertise from human medicine to 'systems veterinary medicine' is vital.
Advanced proteomic and in silico techniques are essential for understanding host-pathogen dynamics.
This review provides a framework for developing novel vaccines and therapeutics in veterinary medicine.