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Identification of Protein Complexes in Escherichia coli using Sequential Peptide Affinity Purification in Combination with Tandem Mass Spectrometry
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Published on: November 12, 2012

A protein processing filter method for bacterial identification by mass spectrometry-based proteomics.

Rabih E Jabbour1, Samir V Deshpande, Michael F Stanford

  • 1SAIC, Aberdeen Proving Ground, Maryland 21010, USA. rabih.jabbour@us.army.mil

Journal of Proteome Research
|December 4, 2010
PubMed
Summary
This summary is machine-generated.

A novel one-pot method simplifies bacterial protein processing for liquid chromatography-tandem mass spectrometry (LC-MS/MS). This technique reliably identifies bacteria from various concentrations using filter units and a proteome database.

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Fast Enzymatic Processing of Proteins for MS Detection with a Flow-through Microreactor
09:49

Fast Enzymatic Processing of Proteins for MS Detection with a Flow-through Microreactor

Published on: April 6, 2016

Area of Science:

  • Proteomics
  • Microbiology
  • Analytical Chemistry

Background:

  • Conventional bacterial protein processing for LC-MS/MS can be complex and time-consuming.
  • Existing methods may involve multiple steps, increasing the risk of sample loss and contamination.

Purpose of the Study:

  • To develop and evaluate a simplified "one-pot" method for bacterial protein and peptide mixture isolation.
  • To assess the method's efficacy for LC-MS/MS analysis and bacterial identification across a range of concentrations.

Main Methods:

  • A "one-pot" method utilizing disposable filter units for bacterial protein processing and digestion.
  • Comparison with conventional in-solution digestion techniques.
  • Analysis of peptide mixtures using LC-MS/MS coupled with an in-house BACid algorithm and a bacterial proteome database.
  • Testing with bacterial concentrations ranging from 10 × 10(7) to 3.3 × 10(3) cfu/mL.

Main Results:

  • The filter unit method effectively retains proteins while removing excess reactants and byproducts.
  • The "one-pot" approach allows for efficient peptide mixture generation and trypsin retention.
  • Reliable identification of bacteria in pure suspensions and mixtures was achieved at both high and low concentrations.
  • The BACid algorithm successfully compared experimental peptides to the proteome database for bacterial identification.

Conclusions:

  • The developed "one-pot" filter unit method offers a streamlined and efficient alternative for bacterial sample processing for LC-MS/MS.
  • This method demonstrates robustness and reliability in identifying bacteria across diverse concentrations, facilitating accurate microbial analysis.