Cancer Institute A national cancer institute
designated cancer center

Stefanie S. Jeffrey, MD

Publication Details

  • A streamlined platform for high-content functional proteomics of primary human specimens NATURE METHODS Jessani, N., Niessen, S., Wei, B. Q., Nicolau, M., Humphrey, M., Ji, Y. R., Han, W. S., Noh, D. Y., Yates, J. R., Jeffrey, S. S., Cravatt, B. F. 2005; 2 (9): 691-697


    Achieving information content of satisfactory breadth and depth remains a formidable challenge for proteomics. This problem is particularly relevant to the study of primary human specimens, such as tumor biopsies, which are heterogeneous and of finite quantity. Here we present a functional proteomics strategy that unites the activity-based protein profiling and multidimensional protein identification technologies (ABPP-MudPIT) for the streamlined analysis of human samples. This convergent platform involves a rapid initial phase, in which enzyme activity signatures are generated for functional classification of samples, followed by in-depth analysis of representative members from each class. Using this two-tiered approach, we identified more than 50 enzyme activities in human breast tumors, nearly a third of which represent previously uncharacterized proteins. Comparison with cDNA microarrays revealed enzymes whose activity, but not mRNA expression, depicted tumor class, underscoring the power of ABPP-MudPIT for the discovery of new markers of human disease that may evade detection by other molecular profiling methods.

    View details for DOI 10.1038/NMETH778

    View details for Web of Science ID 000235261900022

    View details for PubMedID 16118640

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