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• W2892655013 abstract "In most proteome mass spectrometry experiments, more than half of the mass spectra cannot be identified, mainly because of various modifications. The open search strategy allows for a larger precursor tolerance to utilize more spectra, especially those with post-translational modifications; however, thorough quality control based on independent information is lacking. Here, we used the Suspicious Discovery Rate (SDR) based on translatome sequencing (RNC-seq) as an independent source to reference the proteome open search results in steady-state cells. We found that the open search strategy increased the spectra utilization with the cost of increased suspicious identifications that lack translation evidence. We further found that restricting the peptide FDR below 0.1% efficiently controlled the suspicious identifications of open search methods and thus enhanced the confidence of the peptide identification with modifications comparable to the level of the traditional narrow window search. We then demonstrated the successful and validated identification of 27 single amino acid variations from the spectra of two cell lines using the open search strategy without a predefined database. These results validated the proper use of open search methods for higher-quality proteome identifications with information on post-translational modifications and single amino acid polymorphisms." @default.
• W2892655013 created "2018-10-05" @default.
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• W2892655013 date "2018-09-28" @default.
• W2892655013 modified "2023-10-16" @default.
• W2892655013 title "Optimal Settings of Mass Spectrometry Open Search Strategy for Higher Confidence" @default.
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• W2892655013 doi "https://doi.org/10.1021/acs.jproteome.8b00352" @default.
• W2892655013 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30265008" @default.
• W2892655013 hasPublicationYear "2018" @default.
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