FB2026_02 , released June 18, 2026
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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.
FlyBase ID
FBrf0200101
Publication Type
Review
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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PubMed Central ID
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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Secondary IDs
    Language of Publication
    English
    Additional Languages of Abstract
    Parent Publication
    Publication Type
    Journal
    Abbreviation
    Fly
    Title
    Fly
    Publication Year
    2007-
    ISBN/ISSN
    1933-6934 1933-6942
    Data From Reference