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The identification of disease-induced biomarkers in the urine of BSE infected cattle

Sharon LR Simon1 email, Lise Lamoureux1 email, Margot Plews1 email, Michael Stobart1,2 email, Jillian LeMaistre3 email, Ute Ziegler4 email, Catherine Graham5 email, Stefanie Czub5 email, Martin Groschup4 email and J David Knox1,2 email

Prion Diseases Program, Public Health Agency of Canada, Winnipeg, R3E 3P6, Canada

Department of Medical Microbiology, University of Manitoba, Winnipeg, R3E 0W3, Canada

Department of Pharmacology, University of Manitoba, Winnipeg, R2H 2A6, Canada

Institute for Novel and Emerging Infectious Diseases at the Friedrich-Loeffler Institut, 17493 Greifswald-Insel Riems, Germany

Animal Diseases Research Institute, Canadian Food Inspection Agency, Lethbridge, T1J 3Z4, Canada

author email corresponding author email

Proteome Science 2008, 6:23doi:10.1186/1477-5956-6-23

Published: 5 September 2008

Additional files

Additional File 1:

Results of LC/MS/MS analyses and protein statistics. Thirteen of the 16 spot features included in the class prediction classifier were identified. For each identified protein the mascot score, the number of peptides, the % coverage and the corresponding NCBI identifier are provided. Individual ions scores > 54 indicate identity or extensive homology (p < 0.05). The average ratios at each time point are also given.

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Additional file 2:

Statistical Analysis of Protein Concentration in the Urine Samples. Protein concentrations of urine are evaluated to determine if there was any difference amongst cows and whether or not the concentration changed throughout the course of the disease.

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Additional file 3:

Statistical Analysis of Cystatin Abundance in Control and Infected Urine samples collected at each of the 5 time points. The relative cystatin abundances found in control and infected urine were compared.

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