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A streamlined platform for high-content functional proteomics of primary human specimens
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Jessani, Nadim | - |
dc.contributor.author | Niessen, Sherry | - |
dc.contributor.author | Wei, BinQing Q | - |
dc.contributor.author | Nicolau, Monica | - |
dc.contributor.author | Humphrey, Mark | - |
dc.contributor.author | Ji, Youngran | - |
dc.contributor.author | Han, Wonshik | - |
dc.contributor.author | Noh, Dong-Young | - |
dc.contributor.author | Yates, John R 3rd | - |
dc.contributor.author | Jeffrey, Stefanie S | - |
dc.contributor.author | Cravatt, Benjamin F | - |
dc.date.accessioned | 2009-11-26T05:32:12Z | - |
dc.date.available | 2009-11-26T05:32:12Z | - |
dc.date.issued | 2005-08-25 | - |
dc.identifier.citation | Nat Methods. 2005 Sep;2(9):691-7 | en |
dc.identifier.issn | 1548-7091 (Print) | - |
dc.identifier.uri | http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=16118640 | - |
dc.identifier.uri | https://hdl.handle.net/10371/15955 | - |
dc.description.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. | en |
dc.language.iso | en | - |
dc.publisher | Nature Publishing Group | en |
dc.subject | Breast Neoplasms/diagnosis/*enzymology | en |
dc.subject | Equipment Design | en |
dc.subject | Equipment Failure Analysis | en |
dc.subject | Female | en |
dc.subject | Gene Expression Profiling/*methods | en |
dc.subject | Humans | en |
dc.subject | Neoplasm Proteins/analysis/*metabolism | en |
dc.subject | Proteome/analysis/*metabolism | en |
dc.subject | Proteomics/*instrumentation/methods | en |
dc.subject | Tumor Cells, Cultured | en |
dc.subject | Tumor Markers, Biological/analysis/*metabolism | en |
dc.title | A streamlined platform for high-content functional proteomics of primary human specimens | en |
dc.type | Article | en |
dc.contributor.AlternativeAuthor | 지영란 | - |
dc.contributor.AlternativeAuthor | 한원식 | - |
dc.contributor.AlternativeAuthor | 노동영 | - |
dc.identifier.doi | 10.1038/nmeth778 | - |
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