A Proteomic Approach for Identification of Bacteria Using Tandem Mass Spectrometry Combined With a Translatome Database and Statistical Scoring

Abstract

We describe a novel method for fast identification of bacteria based on amino acid sequencing of a random set of peptides derived from bacterial cellular proteins through searches of their production mass spectra against a database translated from fully sequenced bacterial genomes. An in-house developed algorithm for filtering of search results have been tested with Bacillus subtilis and Escherichia coli microorganisms. This approach allowed for the selection of peptide assignments to microbial genomes with desired specificities, sensitivities and error rates, allowing for unambiguous identification of the test bacteria among 87 database microorganisms.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2005
Accession Number
ADA449759

Entities

People

  • A. P. Snyder
  • David Wishart
  • Haiyan Zhang
  • Jacek P. Dworzanski
  • Liang Li
  • Rui Chen

Tags

Communities of Interest

  • Human Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Amino Acids
  • Bacteria
  • Chemistry
  • Databases
  • Electrospray Ionization
  • Filtration
  • Genetic Code
  • Liquid Chromatography
  • Mass Spectra
  • Mass Spectrometry
  • Microorganisms
  • Pathogenic Bacteria
  • Proteins
  • Spectra
  • Spectrometry
  • Two Dimensional

Fields of Study

  • Biology

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Microbial Pathology
  • Oncology and Biomarker-Based Cancer Detection.

Technology Areas

  • Biotechnology