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Assessing Protein Sequence Database Suitability Using De Novo Sequencing
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DOI：10.1074/mcp.TIR119.001752.png)
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摘要
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The success of a sample preparation method can be difficult to evaluate for unusual or unfamiliar samples. Further, it can be hard to discern the suitability of a chosen database for a search of such data. Automated de novo sequencing can provide metrics for both problems. The analysis of samples from unsequenced and/or understudied species as well as samples where the proteome is derived from multiple organisms poses two key questions. The first is whether the proteomic data obtained from an unusual sample type even contains peptide tandem mass spectra. The second question is whether an appropriate protein sequence database is available for proteomic searches. We describe the use of automated de novo sequencing for evaluating both the quality of a collection of tandem mass spectra and the suitability of a given protein sequence database for searching that data. Applications of this method include the proteome analysis of closely related species, metaproteomics, and proteomics of extinct organisms.
Keyword:
Algorithms
Caenorhabditis elegans
data evaluation
de novo sequencing
mass spectrometry
peptides*
protein identification
quality control and metrics
sequencing ms
tandem mass spectrometry
metaproteomics
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