Literature DB >> 17690205

Whole proteome analysis of post-translational modifications: applications of mass-spectrometry for proteogenomic annotation.

Nitin Gupta1, Stephen Tanner, Navdeep Jaitly, Joshua N Adkins, Mary Lipton, Robert Edwards, Margaret Romine, Andrei Osterman, Vineet Bafna, Richard D Smith, Pavel A Pevzner.   

Abstract

While bacterial genome annotations have significantly improved in recent years, techniques for bacterial proteome annotation (including post-translational chemical modifications, signal peptides, proteolytic events, etc.) are still in their infancy. At the same time, the number of sequenced bacterial genomes is rising sharply, far outpacing our ability to validate the predicted genes, let alone annotate bacterial proteomes. In this study, we use tandem mass spectrometry (MS/MS) to annotate the proteome of Shewanella oneidensis MR-1, an important microbe for bioremediation. In particular, we provide the first comprehensive map of post-translational modifications in a bacterial genome, including a large number of chemical modifications, signal peptide cleavages, and cleavages of N-terminal methionine residues. We also detect multiple genes that were missed or assigned incorrect start positions by gene prediction programs, and suggest corrections to improve the gene annotation. This study demonstrates that complementing every genome sequencing project by an MS/MS project would significantly improve both genome and proteome annotations for a reasonable cost.

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Year:  2007        PMID: 17690205      PMCID: PMC1950905          DOI: 10.1101/gr.6427907

Source DB:  PubMed          Journal:  Genome Res        ISSN: 1088-9051            Impact factor:   9.043


  87 in total

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Authors:  A Ben-Bassat; K Bauer; S Y Chang; K Myambo; A Boosman; S Chang
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  89 in total

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2.  Protein identification using top-down.

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Review 3.  Generating and navigating proteome maps using mass spectrometry.

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Review 6.  Hydroxylation and translational adaptation to stress: some answers lie beyond the STOP codon.

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7.  Clustering millions of tandem mass spectra.

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8.  A ranking-based scoring function for peptide-spectrum matches.

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10.  Ortho-proteogenomics: multiple proteomes investigation through orthology and a new MS-based protocol.

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