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Characterizing the Serum Proteome of Donkeys (Equus asinus)
Institution:1. Equine Clinical Diagnostic Center, College of Veterinary Medicine, China Agricultural University, Beijing, China;2. National Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics and Breeding of the Ministry of Agriculture, College of Animal Science and Technology, China Agricultural University, Beijing, China;3. School of Veterinary Science, University of Sydney, Sydney, Australia;4. College of Veterinary Medicine, Oklahoma State University, Stillwater, OK, USA;5. College of Veterinary Medicine, Kansas State University, Manhattan, KS, USA
Abstract:Serum and plasma are commonly used in clinical practice considering the widely accepted fact that the “normal” protein expression pattern of a healthy animal changes under disease conditions. We herein used a label-free mass spectrometry–based quantitative proteomics approach to characterize the serum proteome of donkeys. A total of 277 unique proteins were identified from 2,388 unique peptides. Gene ontology analyses showed that the most frequent processes were related to metabolic activities and biological regulation, response to stimulus, and immune system processes. The main annotated areas of origin were the extracellular region, extracellular region part, and organelle, and their molecular functions included binding, catalytic activity, and molecular function regulator. Analyses using the Clusters of Orthologous Groups for Eukaryotic Complete Genomes database indicated that the identified proteins could be categorized into three main groups: signal transduction mechanisms, amino acid transport and metabolism, and defense mechanisms. Most of the unique proteins were associated with the complement and coagulation cascades, and they participated in several disease-related metabolic pathways. Our results should be crucial for further analyses of changes in different physiological and pathophysiological conditions in donkeys.
Keywords:Serum proteome  Label-free quantitation  Proteomics  Biomarkers  Donkeys
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