1. Microwave and magnetic (M(2) ) proteomics of the experimental autoimmune encephalomyelitis animal model of multiple sclerosis.
- Author
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Raphael I, Mahesula S, Kalsaria K, Kotagiri V, Purkar AB, Anjanappa M, Shah D, Pericherla V, Jadhav YL, Raghunathan R, Vaynberg M, Noriega D, Grimaldo NH, Wenk C, Gelfond JA, Forsthuber TG, and Haskins WE
- Subjects
- Animals, Blotting, Western, Brain metabolism, Brain physiopathology, Brain Chemistry, Cluster Analysis, Disease Models, Animal, Female, Magnetics, Mice, Mice, Inbred C57BL, Microwaves, Multiple Sclerosis metabolism, Proteome analysis, Tandem Mass Spectrometry methods, Encephalomyelitis, Autoimmune, Experimental metabolism, Proteome metabolism, Proteomics methods
- Abstract
We hypothesized that quantitative MS/MS-based proteomics at multiple time points, incorporating rapid microwave and magnetic (M(2) ) sample preparation, could enable relative protein expression to be correlated to disease progression in the experimental autoimmune encephalomyelitis (EAE) animal model of multiple sclerosis. To test our hypothesis, microwave-assisted reduction/alkylation/digestion of proteins from brain tissue lysates bound to C8 magnetic beads and microwave-assisted isobaric chemical labeling were performed of released peptides, in 90 s prior to unbiased proteomic analysis. Disease progression in EAE was assessed by scoring clinical EAE disease severity and confirmed by histopathologic evaluation for central nervous system inflammation. Decoding the expression of 283 top-ranked proteins (p <0.05) at each time point relative to their expression at the peak of disease, from a total of 1191 proteins observed in four technical replicates, revealed a strong statistical correlation to EAE disease score, particularly for the following four proteins that closely mirror disease progression: 14-3-3ε (p = 3.4E-6); GPI (p = 2.1E-5); PLP1 (p = 8.0E-4); PRX1 (p = 1.7E-4). These results were confirmed by Western blotting, signaling pathway analysis, and hierarchical clustering of EAE risk groups. While validation in a larger cohort is underway, we conclude that M(2) proteomics is a rapid method to quantify putative prognostic/predictive protein biomarkers and therapeutic targets of disease progression in the EAE animal model of multiple sclerosis., (© 2012 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.)
- Published
- 2012
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