A Complex Standard for Protein Identification, Designed by Evolution

• Published in: Journal of proteome research Vol. 11; no. 10; pp. 5065 - 5071
• Main Authors: Vaudel, Marc, Burkhart, Julia M, Breiter, Daniela, Zahedi, René P, Sickmann, Albert, Martens, Lennart
• Format: Journal Article
• Language: English
• Published: United States American Chemical Society 05.10.2012
• Subjects: Algorithms; Animals; Archaeal Proteins - chemistry; Chromatography, Reverse-Phase - standards; Complex Mixtures - chemistry; Evolution, Molecular; False Positive Reactions; Humans; Peptide Mapping - methods; Peptide Mapping - standards; peptides; proteome; proteomics; Pyrococcus furiosus; Pyrococcus furiosus - chemistry; Reference Standards; Tandem Mass Spectrometry - standards; Workflow; Pyrococcus furiosus; peptide identification; protein identification; bioinformatics
• DOI: 10.1021/pr300055q
• ISSN: 1535-3893; 1535-3907

Shotgun proteomic investigations rely on the algorithmic assignment of mass spectra to peptides. The quality of these matches is therefore a cornerstone in the analysis and has been the subject of numerous recent developments. In order to establish the benefits of novel algorithms, they are applied to reference samples of known content. However, these were recently shown to be either too simple to resemble typical real-life samples or as leading to results of lower accuracy as the method itself. Here, we describe how to use the proteome of Pyrococcus furiosus , a hyperthermophile, as a standard to evaluate proteomics identification workflows. Indeed, we prove that the Pyrococcus furiosus proteome provides a valid method for detecting random hits, comparable to the decoy databases currently in popular use, but we also prove that the Pyrococcus furiosus proteome goes squarely beyond the decoy approach by also providing many hundreds of highly reliable true positive hits. Searching the Pyrococcus furiosus proteome can thus be used as a unique test that provides the ability to reliably detect both false positives as well as proteome-scale true positives, allowing the rigorous testing of identification algorithms at the peptide and protein level.