= Emerging. More than 5 years before clinical availability. (9.82%)
= Expected to be clinically available in 1 to 4 years. (12.95%)
= Clinically available now. (22.77%)
MSACL 2018 EU : Jauffrit

MSACL 2018 EU Abstract

Topic: Microbiology

Podium Presentation in the Ether on Wednesday at 11:40 (Chair: Simon Cameron)

Deciphering MALDI-TOF Identification of Bacteria Using a Proteogenomic Approach

Frédéric Jauffrit (Presenter)
Université de Lyon

Presenter Bio(s): Computer scientist by training, my thirst for challenging data science applications lead me to join the bioinformatics field.
I am currently at the tail end of my PhD program, where I combined phylogenomics and proteogenomics to unlock insight into bacterial identification by MALDI-TOF. This PhD is a colaboration between the LBBE and bioMérieux.
I developed the RiboDB database, a public resource for ribosomal proteins designed to help phylogeneticists resolve the evolutionary history of bacterial and archaeal species, from subspecies to phylum level.
Further, my work focused on adding knowledge to MALDI-TOF spectra as a means to better understand why MALDI-TOF enable bacterial identification. The finality of my work is to establish a link between proteomics and genomics for bacterial identification.

Authors: Frédéric Jauffrit (1,2), Corinne Beaulieu (1), Pierre-Jean Cotte-Pattat (3), Victoria Girard (3), Martin Welker (1), Céline Brochier-Armanet (2), Jean-Pierre Flandrois (2), Jean-Philippe Charrier (1)
(1) Microbiology Research Department, Marcy l’Etoile, bioMérieux S.A., France (2) Université de Lyon, Université Lyon 1, CNRS, Laboratoire de Biométrie et Biologie Evolutive UMR 5558, F-69622 Villeurbanne, France (3) R&D Microbiology, bioMérieux S.A., La Balme Les Grottes, France


Ribosomal and non-ribosomal proteins producing to peaks in WC-MALDI-TOF MS spectra were identified using proteogenomics and, as a case study, the VITEK® MS calibrant strain, Escherichia coli ATCC8739.

Protein expression was evidenced using LC-MS/MS data and a 6 frame translation of the entire genome. ORFs were inferred and MALDI-TOF peaks were assigned to possible protein m/z according to gene sequences, PTMs and charge states.

This method, applied on 832 E. coli spectra, allowed the identification of all major MALDI-TOF peaks (56 peaks above 3% relative intensity) and more deeply of 424 proteins corresponding to 649 peaks.

Financial Disclosure

SalaryyesEZUS Lyon, university of Lyon
Board Memberno
IP Royaltyno

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