Reference Report
| Reference | |||
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| Citation | Ahrens, C.H., Brunner, E., Hafen, E., Aebersold, R., Basler, K. (2007). A proteome catalog of Drosophila melanogaster: an essential resource for targeted quantitative proteomics. Fly 1(3): 182--186. (Export to RIS) | ||
| FlyBase ID | FBrf0200101 | ||
| Publication Type | Review | ||
| PubMed ID | 18820430 | ||
| PubMed Abstract | Proteomic analyses are critically important for systems biology because important aspects related to the structure, function and control of biological systems are only amenable by direct protein measurements. It has become apparent that the current proteomics technologies are unlikely to allow routine, quantitative measurements of whole proteomes. We have therefore suggested and largely implemented a two-step strategy for quantitative proteome analysis. In a first step, the discovery phase, the proteome observable by mass spectrometry is extensively analyzed. The resulting proteome catalog can then be used to select peptides specific to only one protein, so-called proteotypic peptides (PTPs). It represents the basis to realize sensitive, robust and reproducible measurements based on targeted mass spectrometry of these PTPs in a subsequent scoring phase. In this Extra View we describe the need for such proteome catalogs and their multiple benefits for catalyzing the shift towards targeted quantitative proteomic analysis and beyond. We use the Insulin signaling cascade as a representative example to illustrate the limitations of currently used proteomics approaches for the specific analysis of individual pathway components, and describe how the recently published Drosophila proteome catalog already helped to overcome many of these limitations. | ||
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| Related Publication(s) | |||
| Research paper | A high-quality catalog of the Drosophila melanogaster proteome. Brunner et al., 2007, Nat. Biotechnol. 25(5): 576--583 [FBrf0201797] |
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| Language of Publication | English | ||
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| Publication Type | Journal | ||
| Abbreviation | Fly | ||
| Title | Fly | ||
| Publication Year | 2007- | ||
| ISBN/ISSN | 1933-6934 1933-6942 | ||
Data from Reference
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Genes (32)
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