Shane C Burgess

Shane C Burgess

Dean, Charles-Sander - College of Agriculture and Life Sciences
Vice President, Agriculture - Life and Veterinary Sciences / Cooperative Extension
Professor, Animal and Comparative Biomedical Sciences
Professor, Immunobiology
Professor, BIO5 Institute
Member of the General Faculty
Member of the Graduate Faculty
Primary Department
Department Affiliations
(520) 621-7621

Research Interest

Shane C. BurgessVice President for Agriculture, Life and Veterinary Sciences, and Cooperative ExtensionDean, College of Agriculture and Life SciencesInterim Dean, School of Veterinary MedicineDirector, Arizona Experiment StationA native of New Zealand, Dr. Burgess has worked around the world as a practicing veterinarian and scientist. His areas of expertise include cancer biology, virology, proteomics, immunology and bioinformatics.Since 1997 he has 186 refereed publications, trained 37 graduate students and has received nearly $55 million in competitive funding.The first in his extended family to complete college, Dr. Burgess graduated with distinction as a veterinarian in 1989 from Massey University, New Zealand. He has worked in, and managed veterinary clinical practices in Australia and the UK, including horses, farm animals, pets, wild and zoo animals, and emergency medicine and surgery. He did a radiology residency at Murdoch University in Perth in Western Australia, where he co-founded Perth's first emergency veterinary clinic concurrently. He has managed aquaculture facilities in Scotland. He did his PhD in virology, immunology and cancer biology, conferred by Bristol University medical school, UK while working full time outside of the academy between 1995 and 1998. Dr. Burgess volunteered to work in the UK World Reference Laboratory for Exotic Diseases during the 2001 UK foot and mouth disease crisis, where he led the diagnosis reporting office, for the Office of the UK Prime Minister Tony Blair. He was awarded the Institute for Animal Health Director's Award for Service.In 2002, Dr. Burgess joined Mississippi State University’s College of Veterinary Medicine as an assistant professor. He was recruited from Mississippi State as a professor, an associate dean of the college and director of the Institute for Genomics, Biocomputing and Biotechnology to lead the UA College of Agriculture and Life Sciences in July 2011. Under Dr. Burgess’ leadership, the college has a total budget of more than $120M with over 3,400 students and more than 1,800 employees.


Buza, T. J., Mccarthy, F. M., Wang, N., Bridges, S. M., & Burgess, S. C. (2008). Gene Ontology annotation quality analysis in model eukaryotes. Nucleic Acids Research, 36(2).

PMID: 18187504;PMCID: PMC2241866;Abstract:

Functional analysis using the Gene Ontology (GO) is crucial for array analysis, but it is often difficult for researchers to assess the amount and quality of GO annotations associated with different sets of gene products. In many cases the source of the GO annotations and the date the GO annotations were last updated is not apparent, further complicating a researchers' ability to assess the quality of the GO data provided. Moreover, GO biocurators need to ensure that the GO quality is maintained and optimal for the functional processes that are most relevant for their research community. We report the GO Annotation Quality (GAQ) score, a quantitative measure of GO quality that includes breadth of GO annotation, the level of detail of annotation and the type of evidence used to make the annotation. As a case study, we apply the GAQ scoring method to a set of diverse eukaryotes and demonstrate how the GAQ score can be used to track changes in GO annotations over time and to assess the quality of GO annotations available for specific biological processes. The GAQ score also allows researchers to quantitatively assess the functional data available for their experimental systems (arrays or databases). © 2008 The Author(s).

Paul, D., Kumar, R., Nanduri, B., French, T., Pendarvis, K., Brown, A., Lawrence, M. L., & Burgess, S. C. (2011). Proteome and membrane fatty acid analyses on oligotropha carboxidovorans OM5 grown under chemolithoautotrophic and heterotrophic conditions. PLoS ONE, 6(2).

PMID: 21386900;PMCID: PMC3046131;Abstract:

Oligotropha carboxidovorans OM5 T. (DSM 1227, ATCC 49405) is a chemolithoautotrophic bacterium able to utilize CO and H2 to derive energy for fixation of CO2. Thus, it is capable of growth using syngas, which is a mixture of varying amounts of CO and H2 generated by organic waste gasification. O. carboxidovorans is capable also of heterotrophic growth in standard bacteriologic media. Here we characterize how the O. carboxidovorans proteome adapts to different lifestyles of chemolithoautotrophy and heterotrophy. Fatty acid methyl ester (FAME) analysis of O. carboxidovorans grown with acetate or with syngas showed that the bacterium changes membrane fatty acid composition. Quantitative shotgun proteomic analysis of O. carboxidovorans grown in the presence of acetate and syngas showed production of proteins encoded on the megaplasmid for assimilating CO and H2 as well as proteins encoded on the chromosome that might have contributed to fatty acid and acetate metabolism. We found that adaptation to chemolithoautotrophic growth involved adaptations in cell envelope, oxidative homeostasis, and metabolic pathways such as glyoxylate shunt and amino acid/cofactor biosynthetic enzymes. © 2011 Paul et al.

Buza, J. J., & Burgess, S. C. (2008). Different signaling pathways expressed by chicken naïve CD4 + T cells, CD4 + lymphocytes activated with staphylococcal enterotoxin B, and those malignantly transformed by marek's disease virus. Journal of Proteome Research, 7(6), 2380-2387.

PMID: 18412384;Abstract:

Proteomics methods, based on liquid chromatography and tandem mass spectrometry, produce large "shotgun" proteomes that are most appropriately compared not at the level of differentially expressed proteins only but at the more comprehensive level of biological networks and pathways. This is now possible with the emergence of functional annotation databases and tools, databases of canonical pathways and molecular interactions and computational text mining tools. Here, we used shotgun proteomics, and the differential proteomics modeling functionalities available in the Pathwaystudio network modeling program to define the cell physiology of Hodgkin's disease antigen-overexpressing (CD30 hi) CD4 + T cell lymphomas using the unique Marek's disease (MD) natural animal model. CD30 hi lymphoma cells have characteristics of activated T cells but are also fundamentally different from their nontransformed healthy counterparts. We compared the cell physiology of naïve, superantigen-activated and MD-transformed CD4 + T cell proteomes. While the superantigen- activated cells had signaling pathways associated with cell activation, inflammation, proliferation and cell death, the MD-transformed cells had growth factor, cytokine, adhesion, and transcription factor signaling responses associated with oncogenicity, cell proliferation, angiogenesis, motility, and metastasis. © 2008 American Chemical Society.

A., J., Braun, E. L., Isberg, S. R., Miles, L. G., Chong, A. Y., Gongora, J., Dalzell, P., Moran, C., Bed'Hom, B., Abzhanov, A., Burgess, S. C., Cooksey, A. M., Castoe, T. A., Crawford, N. G., Densmore, L. D., Drew, J. C., Edwards, S. V., Faircloth, B. C., Fujita, M. K., , Greenwold, M. J., et al. (2012). Sequencing three crocodilian genomes to illuminate the evolution of archosaurs and amniotes. Genome Biology, 13(1).

PMID: 22293439;PMCID: PMC3334581;Abstract:

The International Crocodilian Genomes Working Group (ICGWG) will sequence and assemble the American alligator (Alligator mississippiensis), saltwater crocodile (Crocodylus porosus) and Indian gharial (Gavialis gangeticus) genomes. The status of these projects and our planned analyses are described. © 2012 BioMed Central Ltd.

Kumar, A., Yueh, F., Singh, J. P., & Burgess, S. (2004). Characterization of malignant tissue cells by laser-induced breakdown spectroscopy. Applied Optics, 43(28), 5399-5403.

PMID: 15495432;Abstract:

Cancer diagnosis and classification is extremely complicated and, for the most part, relies on subjective interpretation of biopsy material. Such methods are laborious and in some cases might result in different results depending on the histopathologist doing the examination. Automated, real-time diagnostic procedures would greatly facilitate cancer diagnosis and classification. Laser-induced breakdown spectroscopy (LIBS) is used for the first time to our knowledge to distinguish normal and malignant tumor cells from histological sections. We found that the concentration of trace elements in normal and tumor cells was significantly different. For comparison, the tissue samples were also analyzed by an inductively coupled plasma emission spectroscopy (ICPES) system. The results from the LIBS measurement and ICPES analysis were in good agreement. © 2004 Optical Society of America.