Proteomics in Veterinary Medicine and Animal Science: Neglected Scientific Opportunities with Immediate Impact

Animal/veterinary proteomics is an evolving field which holds a great promise not only for fundamental and applied discoveries regarding biology and pathology of domestic species, but can also be implemented in comparative applications of human diseases research. Experimental proteomics in domestic animals have advantages over use of rodents, such as multiple sampling in time series and availability of biological samples in sufficient volume for multiple analyses, such that both experimental and natural disease processes can be investigated. While there are certain technical limitations in the expansion of the field, they can currently be circumvented and in the future mastered with a greater participation of proteomic experts, which will in turn drive the accessibility of species‐specific reagents, data volume expansion in bioinformatic databases, and increased funding. This Viewpoint highlights some comparative proteomics studies addressing important issues and encourages readers to expand their horizons of domestic animal proteomics research. It will hopefully inspire new fruitful collaborations between veterinary and animal scientists and proteomic specialists for research in these areas that can have immediate and direct impact on health, society, and the economy.

[1]  N. Guillemin,et al.  Serum proteome profiling in canine idiopathic dilated cardiomyopathy using TMT-based quantitative proteomics approach. , 2018, Journal of proteomics.

[2]  I. Chapple,et al.  The Saliva Proteome of Dogs: Variations Within and Between Breeds and Between Species , 2018, Proteomics.

[3]  T. Griffin,et al.  Salivary proteomics of healthy dogs: An in depth catalog , 2018, PloS one.

[4]  Pawel Sadowski,et al.  Clinical veterinary proteomics: Techniques and approaches to decipher the animal plasma proteome. , 2017, Veterinary journal.

[5]  A. Tholey,et al.  We Are Not Alone: The iMOP Initiative and Its Roles in a Biology- and Disease-Driven Human Proteome Project. , 2017, Journal of proteome research.

[6]  L. Pardo-Marín,et al.  Identification of novel biomarkers for treatment monitoring in canine leishmaniosis by high-resolution quantitative proteomic analysis. , 2017, Veterinary immunology and immunopathology.

[7]  T. Whiteside Extracellular vesicles isolation and their biomarker potential: are we ready for testing? , 2017, Annals of translational medicine.

[8]  M. Maron,et al.  Feline Hypertrophic Cardiomyopathy: A Spontaneous Large Animal Model of Human HCM , 2017, Cardiology research.

[9]  A. Moura,et al.  Proteomic characterization of canine seminal plasma. , 2017, Theriogenology.

[10]  B. Zhang,et al.  iTRAQ-based proteomic analysis reveals key proteins affecting muscle growth and lipid deposition in pigs , 2017, Scientific Reports.

[11]  L. D. dos Santos,et al.  Heterologous fibrin sealant derived from snake venom: from bench to bedside – an overview , 2017, Journal of Venomous Animals and Toxins including Tropical Diseases.

[12]  Haojie Lu,et al.  Improved MALDI imaging MS analysis of phospholipids using graphene oxide as new matrix , 2017, Scientific Reports.

[13]  Henk W. P. van den Toorn,et al.  Toward an Optimized Workflow for Middle-Down Proteomics , 2017, Analytical chemistry.

[14]  A. D. de Almeida,et al.  Top-Down Proteomics and Farm Animal and Aquatic Sciences , 2016, Proteomes.

[15]  F. Ceciliani,et al.  Application of post-genomic techniques in dog cancer research. , 2016, Molecular bioSystems.

[16]  R. Zadoks,et al.  Mastitomics, the integrated omics of bovine milk in an experimental model of Streptococcus uberis mastitis: 3. Untargeted metabolomics. , 2016, Molecular bioSystems.

[17]  M. Bonnet,et al.  Integrated data mining of transcriptomic and proteomic datasets to predict the secretome of adipose tissue and muscle in ruminants. , 2016, Molecular bioSystems.

[18]  Josipa Kuleš,et al.  Library-based display technologies: where do we stand? , 2016, Molecular bioSystems.

[19]  R. Zadoks,et al.  Mastitomics, the integrated omics of bovine milk in an experimental model of Streptococcus uberis mastitis: 2. Label-free relative quantitative proteomics , 2016, Molecular bioSystems.

[20]  R. Zadoks,et al.  Mastitomics, the integrated omics of bovine milk in an experimental model of Streptococcus uberis mastitis: 1. High abundance proteins, acute phase proteins and peptidomics , 2016, Molecular bioSystems.

[21]  S. Hay,et al.  Antibiotic resistance is the quintessential One Health issue , 2016, Transactions of the Royal Society of Tropical Medicine and Hygiene.

[22]  Anna Bassols,et al.  Proteomics and the search for welfare and stress biomarkers in animal production in the one-health context. , 2016, Molecular bioSystems.

[23]  H. Rodríguez-Martínez,et al.  Characterization of the porcine seminal plasma proteome comparing ejaculate portions. , 2016, Journal of proteomics.

[24]  Joel P. Arrais,et al.  CanisOme--The protein signatures of Canis lupus familiaris diseases. , 2016, Journal of proteomics.

[25]  Cristian Piras,et al.  Proteomics in food: Quality, safety, microbes, and allergens , 2016, Proteomics.

[26]  R. Moritz,et al.  The Pig PeptideAtlas: A resource for systems biology in animal production and biomedicine , 2016, Proteomics.

[27]  Dorota Pietras-Ożga,et al.  Dog Tear Film Proteome In-Depth Analysis , 2015, PloS one.

[28]  G. Tsangaris,et al.  Use of proteomics in the study of microbial diseases of small ruminants. , 2015, Veterinary microbiology.

[29]  C. Arce,et al.  Quantitative proteomics and bioinformatic analysis provide new insight into the dynamic response of porcine intestine to Salmonella Typhimurium , 2015, Front. Cell. Infect. Microbiol..

[30]  D. Cockerill,et al.  Serum enolase: a non-destructive biomarker of white skeletal myopathy during pancreas disease (PD) in Atlantic salmon Salmo salar L. , 2015, Journal of fish diseases.

[31]  S. Clerens,et al.  The proteomics of wool fibre morphogenesis. , 2015, Journal of structural biology.

[32]  Yaoyang Zhang,et al.  SWATH enables precise label‐free quantification on proteome scale , 2015, Proteomics.

[33]  Brendan MacLean,et al.  Building high-quality assay libraries for targeted analysis of SWATH MS data , 2015, Nature Protocols.

[34]  R. Beynon,et al.  Development of a method for absolute quantification of equine acute phase proteins using concatenated peptide standards and selected reaction monitoring. , 2014, Journal of proteome research.

[35]  E. Bendixen,et al.  Animal board invited review: advances in proteomics for animal and food sciences , 2014, Animal : an international journal of animal bioscience.

[36]  J. Tra,et al.  Sizing up models of heart failure: Proteomics from flies to humans , 2014, Proteomics. Clinical applications.

[37]  E. Bendixen Animal models for translational proteomics , 2014, Proteomics. Clinical applications.

[38]  F. Ceciliani,et al.  Proteomics in farm animals models of human diseases , 2014, Proteomics. Clinical applications.

[39]  N. Jonsson,et al.  Alkaline phosphatase in nasal secretion of cattle: biochemical and molecular characterisation , 2014, BMC Veterinary Research.

[40]  R. Wait,et al.  In between - Proteomics of dog biological fluids. , 2014, Journal of proteomics.

[41]  J. Prenni,et al.  Characterization of the canine urinary proteome. , 2014, Veterinary clinical pathology.

[42]  R. Rahbarghazi,et al.  Serological proteome analysis of dogs with breast cancer unveils common serum biomarkers with human counterparts , 2014, Electrophoresis.

[43]  C. Lecchi,et al.  Proteomics in Veterinary Medicine , 2014, Veterinary pathology.

[44]  A. M. Almeida,et al.  The colostrum proteome, ruminant nutrition and immunity: a review. , 2014, Current protein & peptide science.

[45]  M. Hengartner,et al.  Model Organisms Proteomics—From Holobionts to Human Nutrition , 2013, Proteomics.

[46]  I. Miller,et al.  Pig α1-Acid Glycoprotein: Characterization and First Description in Any Species as a Negative Acute Phase Protein , 2013, PloS one.

[47]  R. Burchmore,et al.  Characterisation of the normal canine serum proteome using a novel electrophoretic technique combined with mass spectrometry. , 2013, Veterinary journal.

[48]  J. Lippolis,et al.  Bovine milk proteome: quantitative changes in normal milk exosomes, milk fat globule membranes and whey proteomes resulting from Staphylococcus aureus mastitis. , 2013, Journal of proteomics.

[49]  H. Sauerwein,et al.  Acute phase proteins in ruminants. , 2012, Journal of proteomics.

[50]  A. D. de Almeida,et al.  Proteomics, a new tool for farm animal science. , 2012, Journal of proteomics.

[51]  A. D. de Almeida,et al.  Pig proteomics: a review of a species in the crossroad between biomedical and food sciences. , 2012, Journal of proteomics.

[52]  K. Kočí,et al.  Mass spectrometry and animal science: protein identification strategies and particularities of farm animal species. , 2012, Journal of proteomics.

[53]  M. Sartor,et al.  Current status and future perspectives for sequencing livestock genomes , 2012, Journal of Animal Science and Biotechnology.

[54]  S. Nomura,et al.  Proteome analysis of cerebrospinal fluid in healthy beagles and canine encephalitis. , 2012, Journal of Veterinary Medical Science.

[55]  Ludovic C. Gillet,et al.  Targeted Data Extraction of the MS/MS Spectra Generated by Data-independent Acquisition: A New Concept for Consistent and Accurate Proteome Analysis* , 2012, Molecular & Cellular Proteomics.

[56]  P. Eckersall,et al.  Methods in Animal Proteomics: Whitfield/Methods in Animal Proteomics , 2011 .

[57]  B. Kuhla,et al.  Involvement of skeletal muscle protein, glycogen, and fat metabolism in the adaptation on early lactation of dairy cows. , 2011, Journal of proteome research.

[58]  C. E. Alvarez,et al.  Dog models of naturally occurring cancer. , 2011, Trends in molecular medicine.

[59]  C. Perez-Iratxeta,et al.  Quantitative proteomic analysis of dystrophic dog muscle. , 2011, Journal of proteome research.

[60]  A. Tanca,et al.  The sheep milk fat globule membrane proteome. , 2011, Journal of proteomics.

[61]  N. Verma,et al.  Recent advances in the use of Sus scrofa (pig) as a model system for proteomic studies , 2011, Proteomics.

[62]  V. Labas,et al.  Steroid hormones content and proteomic analysis of canine follicular fluid during the preovulatory period , 2010, Reproductive biology and endocrinology : RB&E.

[63]  Jolon M. Dyer,et al.  Developing the wool proteome. , 2010, Journal of proteomics.

[64]  H. Caillat,et al.  Major proteins of the goat milk fat globule membrane. , 2010, Journal of dairy science.

[65]  M. Willcox,et al.  Proteomic analysis of dog tears for potential cancer markers. , 2008, Research in veterinary science.

[66]  I. Fournier,et al.  MALDI imaging of formalin-fixed paraffin-embedded tissues: application to model animals of Parkinson disease for biomarker hunting. , 2008, Journal of proteome research.

[67]  R. Beynon,et al.  Proteomics and naturally occurring animal diseases: Opportunities for animal and human medicine , 2008, Proteomics. Clinical applications.

[68]  M. Mann,et al.  In-gel digestion for mass spectrometric characterization of proteins and proteomes , 2006, Nature Protocols.

[69]  J. Towbin,et al.  A cardiac myosin binding protein C mutation in the Maine Coon cat with familial hypertrophic cardiomyopathy. , 2005, Human molecular genetics.

[70]  S. Gygi,et al.  Absolute quantification of proteins and phosphoproteins from cell lysates by tandem MS , 2003, Proceedings of the National Academy of Sciences of the United States of America.

[71]  D. Lipman,et al.  A genomic perspective on protein families. , 1997, Science.

[72]  A. M. Almeida Proteomics in Domestic Animals: from Farm to Systems Biology , 2018, Springer International Publishing.

[73]  P. Eckersall,et al.  Proteomics and Mammary Gland Research in Dairy Species , 2018 .

[74]  B. Ametaj Periparturient Diseases of Dairy Cows , 2017, Springer International Publishing.

[75]  P. Eckersall,et al.  Omic Approaches to a Better Understanding of Mastitis in Dairy Cows , 2017 .

[76]  J. Cerón,et al.  Plasma biomarkers of SIRS and MODS associated with canine babesiosis. , 2016, Research in veterinary science.

[77]  S. Turillazzi,et al.  Detection of honeybee venom in envenomed tissues by direct MALDI MSI , 2009, Journal of the American Society for Mass Spectrometry.

[78]  A. Lenz,et al.  Two‐dimensional electrophoresis of dog bronchoalveolar lavage fluid proteins , 1990, Electrophoresis.