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A streamlined platform for high-content functional proteomics of primary human specimens.
Nadim Jessani1, Sherry Niessen, BinQing Q Wei
1The Skaggs Institute for Chemical Biology and Department of Cell Biology, The Scripps Research Institute, 10550 N. Torrey Pines Rd., La Jolla, California 92037, USA.
Nature Methods
|August 25, 2005
Summary
This study introduces a new proteomics strategy, activity-based protein profiling and multidimensional protein identification technologies (ABPP-MudPIT), for analyzing human tumor samples. This method effectively identifies novel enzyme activities and potential disease biomarkers.
Area of Science:
- Proteomics
- Biochemistry
- Cancer Biology
Background:
- Proteomics faces challenges in achieving comprehensive analysis, especially with heterogeneous human tumor samples.
- Existing methods may not capture functional protein information crucial for disease understanding.
Purpose of the Study:
- To develop a streamlined, functional proteomics strategy for analyzing human specimens.
- To identify novel enzyme activities and potential disease markers in human breast tumors.
Main Methods:
- Integration of activity-based protein profiling (ABPP) with multidimensional protein identification technology (MudPIT).
- A two-tiered approach: initial enzyme activity profiling followed by in-depth analysis.
Main Results:
- Successfully identified over 50 enzyme activities in human breast tumors.
- Discovered previously uncharacterized proteins and enzyme activities.
- Found enzymes whose activity, not mRNA levels, correlated with tumor class.
Conclusions:
- The ABPP-MudPIT strategy offers a powerful approach for in-depth functional proteomics of human samples.
- This method can uncover disease markers missed by other profiling techniques, like cDNA microarrays.