Open Access Research article

Kinotypes: stable species- and individual-specific profiles of cellular kinase activity

Brett Trost1, Jason Kindrachuk2, Erin Scruten3, Philip Griebel34, Anthony Kusalik1 and Scott Napper35*

Author Affiliations

1 Department of Computer Science, University of Saskatchewan, Saskatoon, Canada

2 National Institute of Allergy and Infectious Diseases, National Institutes of Health, Emerging Viral Pathogens Section, Frederick, USA

3 Vaccine and Infectious Disease Organization, University of Saskatchewan, Saskatoon, Canada

4 School of Public Health, University of Saskatchewan, Saskatoon, Canada

5 Department of Biochemistry, University of Saskatchewan, Saskatoon, Canada

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BMC Genomics 2013, 14:854  doi:10.1186/1471-2164-14-854

Published: 5 December 2013



Recently, questions have been raised regarding the ability of animal models to recapitulate human disease at the molecular level. It has also been demonstrated that cellular kinases, individually or as a collective unit (the kinome), play critical roles in regulating complex biology. Despite the intimate relationship between kinases and health, little is known about the variability, consistency and stability of kinome profiles across species and individuals.


As a preliminary investigation of the existence of species- and individual-specific kinotypes (kinome signatures), peptide arrays were employed for the analysis of peripheral blood mononuclear cells collected weekly from human and porcine subjects (n = 6) over a one month period. The data revealed strong evidence for species-specific signalling profiles. Both humans and pigs also exhibited evidence for individual-specific kinome profiles that were independent of natural changes in blood cell populations.


Species-specific kinotypes could have applications in disease research by facilitating the selection of appropriate animal models or by revealing a baseline kinomic signature to which treatment-induced profiles could be compared. Similarly, individual-specific kinotypes could have implications in personalized medicine, where the identification of molecular patterns or signatures within the kinome may depend on both the levels of kinome diversity and temporal stability across individuals.