MSI_mass_spectrometry
MSI_mass_spectrometry improves species identification within the Enterobacter cloacae complex (ECC) using Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry (MALDI-TOF MS) for accurate species-level classification.
Key Features:
- Enhanced Identification Accuracy: Uses an online database combined with the MSI algorithm to increase ECC species-level identification accuracy to 92% compared with 25% with standard commercial databases such as Bruker's MALDI Biotyper.
- Focus on Enterobacter hormaechei: Identifies Enterobacter hormaechei with 97% accuracy compared with 20% using traditional methods.
- Database Integration: Creates a comprehensive MALDI-TOF reference spectral profile database with a high number of representative spectra to enhance identification reliability.
Scientific Applications:
- Clinical Microbiology: Improves pathogen identification accuracy to support timely and precise diagnosis for patient management.
- Antibiotic Resistance Research: Supports studies on antibiotic resistance patterns within the ECC, particularly for Enterobacter hormaechei.
- Microbial Taxonomy Studies: Provides reliable spectral data to inform taxonomic revision and classification within the ECC.
Methodology:
Evaluates MALDI-TOF MS performance using two databases and algorithms against hsp60 gene sequencing by testing 94 ECC isolates in triplicate and comparing identification rates between the Bruker database (Bruker's MALDI Biotyper) and an extensive online database coupled with the MSI algorithm.
Topics
Details
- License:
- Not licensed
- Cost:
- Free of charge
- Tool Type:
- web application
- Operating Systems:
- Mac, Linux, Windows
- Added:
- 1/12/2022
- Last Updated:
- 1/12/2022
Operations
Publications
Godmer A, Benzerara Y, Normand AC, Veziris N, Gallah S, Eckert C, Morand P, Piarroux R, Aubry A. Revisiting Species Identification within the Enterobacter cloacae Complex by Matrix-Assisted Laser Desorption Ionization–Time of Flight Mass Spectrometry. Microbiology Spectrum. 2021;9(1). doi:10.1128/spectrum.00661-21. PMID:34378957. PMCID:PMC8552640.