Flash MS/MS proteotyping allows identifying microbial isolates in 36 s of mass spectrometry signal

Madisson Chabas1,2, Jean-Charles Gaillard1, Béatrice Alpha-Bazin1

  • 1Département Médicaments et Technologies pour la Santé (DMTS), CEA, INRAE, SPI, Université Paris-Saclay, Bagnols-sur-Cèze, France.

Proteomics
|January 3, 2024
PubMed

Insights

Flash proteotyping using tandem mass spectrometry offers ultra-fast microbial identification. This method achieves high discrimination down to the strain level, significantly improving diagnostics and culturomics.

Area of Science:

  • Microbiology
  • Analytical Chemistry
  • Bioinformatics

Background:

  • Rapid microbial identification is crucial for diagnostics, sanitation, and food safety.
  • Current whole-cell MALDI-TOF mass spectrometry has limitations in database completeness and discrimination power, often restricted to species level.
  • Environmental isolates and opportunistic pathogens pose challenges for existing methods.

Purpose of the Study:

  • To develop an ultra-fast microbial identification methodology using tandem mass spectrometry.
  • To enhance taxonomic discrimination beyond the species level, down to the subspecies or strain level.
  • To enable high-throughput analysis for applications like culturomics and diagnostics.

Main Methods:

  • Direct sample infusion tandem mass spectrometry for ultra-fast data acquisition.
  • Development of a sensitive data processing and taxonomic identification procedure.
  • Validation using reference strains and uncharacterized bacterial isolates.

Main Results:

  • Microbial identification to the species level achieved in 36 seconds of tandem mass spectrometry signal.
  • Total analysis time, including injection, was 102 seconds.
  • The 'flash proteotyping' method demonstrated high discrimination, providing information down to the strain level.

Conclusions:

  • Tandem mass spectrometry-based flash proteotyping offers a rapid and highly discriminating method for microbial identification.
  • This methodology overcomes limitations of current techniques, particularly for environmental and challenging isolates.
  • The approach holds significant potential for advancing high-throughput microbial analysis in various fields, including diagnostics and culturomics.

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