A streamlined platform for high-content functional proteomics of primary human specimens.

Abstract:

: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.

journal_name

Nat Methods

journal_title

Nature methods

authors

Jessani N,Niessen S,Wei BQ,Nicolau M,Humphrey M,Ji Y,Han W,Noh DY,Yates JR 3rd,Jeffrey SS,Cravatt BF

doi

10.1038/nmeth778

keywords:

subject

Has Abstract

pub_date

2005-09-01 00:00:00

pages

691-7

issue

9

eissn

1548-7091

issn

1548-7105

pii

nmeth778

journal_volume

2

pub_type

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