Proteomics and Metabolomics in Veterinary and Animal Health
A special issue of Metabolites (ISSN 2218-1989). This special issue belongs to the section "Integrative Metabolomics".
Deadline for manuscript submissions: 31 March 2025 | Viewed by 283
Special Issue Editors
Interests: proteomics; metabolomics; mass spectrometry; multi-omics data integration; biomarker discovery; biomolecule function and interactions
Special Issue Information
Dear Colleagues,
Omics sciences have infiltrated all scientific areas of research over the past few years. As such, proteomics and metabolomics have also been widely explored in veterinary medicine research, showing their full potential in deciphering various pathophysiological processes in animal health and disease at the molecular level. By applying advanced bioinformatic and statistical tools, the integration of multiomics data provides deeper insights into biological pathways and complex molecular interplay, highlighting the key molecules of interest from diagnostic, prognostic, and drug development perspectives. Furthermore, given the ethical concerns of animals as animal models, as well as animal welfare, the omics approach in veterinary medicine can provide a significant contribution to physiopathology studies for human diseases as part of comparative medicine.
This Special Issue is devoted to topics covering (not exclusively) studies on the application of metabolomics or multiomics layers, namely various proteomic and metabolomics strategies, combined with statistical models and/or bioinformatics approaches in animal health and disease. We strongly encourage you to share your valuable findings in this topic and contribute to the development of new analytical strategies, databases, and bioinformatics workflows in animal research and finally to animal welfare.
Dr. Anita Horvatić
Dr. Andrea Gelemanović
Guest Editors
Manuscript Submission Information
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Keywords
- metabolomics
- proteomics
- bioinformatics
- omics data integration
- mass spectrometry
- veterinary medicine
- animal health
- biomarker discovery
- metabolic pathways
- molecular interactions
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