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Molecular & Cellular Proteomics 6:781-797, 2007.
© 2007 by The American Society for Biochemistry and Molecular Biology, Inc.

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Research

Systematic Uncovering of Multiple Pathways Underlying the Pathology of Huntington Disease by an Acid-cleavable Isotope-coded Affinity Tag Approach^*,S

Ming-Chang Chiang^,,¶, Chiun-Gung Juo^,¶, Hao-Hung Chang, Hui-Mei Chen, Eugene C. Yi^|| and Yijuang Chern^,,**

From the Institute of Biomedical Sciences, Academia Sinica, Taipei 11529, Taiwan, Institute of Neuroscience, National Yang Ming University, Taipei 112, Taiwan, and ^|| Institute of Systems Biology, Seattle, Washington 98103-8904

Huntington disease (HD) is an autosomal dominant neurodegenerative disease that results from a CAG (glutamine) trinucleotide expansion in exon 1 of huntingtin (Htt). The aggregation of mutant Htt has been implicated in the progression of HD. The earliest degeneration occurs in the striatum. To identify proteins critical for the progression of HD, we applied acid-cleavable ICAT technology to quantitatively determine changes in protein expressions in the striatum of a transgenic HD mouse model (R6/2). The cysteine residues of striatal proteins from HD and wild-type mice were labeled, respectively, with the heavy and light forms of the ICAT reagents. Samples were trypsinized, uncovered by avidin affinity chromatography, and analyzed by nano-LC-MS/MS. Western blot analyses were used to confirm and to calibrate the ICAT ratios. Linear regression was used to uncover a group of proteins that exhibited consistent changes. In two independent ICAT experiments, we identified 427 cysteine-containing striatal proteins among which 66% (203 proteins) were detected in both ICAT experiments. Approximately two-thirds of proteins identified in each ICAT experiment were detected in both ICAT experiments. In total, 68 proteins with altered expressions in HD mice were identified. Elevated expressions of two down-regulated proteins (14-3-3 and FKBP12) effectively reduced Htt aggregates in a striatal cell line, supporting the functional relevance of the above findings. Collectively by using a well defined protocol for data analysis, large scale comparisons of protein expressions by ICAT can be reliable and can provide valuable clues for identifying proteins critical for pathophysiological functions.

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