Author

Jérôme Lemoine

Lyon 1 UniversitéORCID 0000-0002-5497-6880Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Biochemistry· 1 Bioinformatics· 1 Microbiology· 1

Signature Assays, Organisms & Methods

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Assay:proteomics· 2 Organism:bacteria (other)· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Approach:experimental assay· 1 Research Focus:host-pathogen & immune response· 1 Organism:human· 1 Assay:metabolomics· 1

Frequent Co-Authors

Agnès Dupas· 1 shared Alicia Reuzeau· 1 shared Anne TristaniD· 1 shared Arnaud ChaumotiD· 1 shared Arnaud SalvadoriD· 1 shared Céline DupieuxiD· 1 shared Chloé Desbiolles· 1 shared Christophe GinévraiD· 1 shared

Activity by Year

2024-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 14 mutual co-author links

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1 shared paperBioinformatics

Agnès Dupas

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

BioinformaticsbioRxivPreprintApr 3, 2026

Importance of taking Single Amino Acid Variant and accessory proteome variability into account in Data Independent Acquisition Proteomics: illustrated with Legionella pneumophila analysis

Agnès Dupas, Marine Ibranosyan, Christophe Ginévra…·Jérôme Lemoine

The paper shows that incorporating allelic variability improves proteome coverage and identification confidence in DIA proteomics using Legionella pneumophila isolates.

DOI 10.64898/2026.04.01.715759

bacteria (other)proteomics

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MicrobiologyEuropean Journal of Clinical Microbiology & Infectious DiseasesPeer-reviewedMay 16, 2024

Proteomic assay for rapid characterization of Staphylococcus aureus antimicrobial resistance directly from blood cultures

Francis Deforet, Romain Carrière, Pierre l'Aour Dufour…·François Vandenesch

This paper presents a rapid proteomic method using LC-MS/MS to detect and quantify key antimicrobial resistance proteins in Staphylococcus aureus directly from blood cultures with high sensitivity and specificity.

5 citations

humanproteomics

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BiochemistryAnalytica Chimica ActaPeer-reviewedApr 2, 2024

Concomitant investigation of crustacean amphipods lipidome and metabolome during molting stage by Zeno SWATH Data-Independent Acquisition coupled with Electron Activated Dissociation and machine learning

Thomas Alexandre Brunet, Yohann Clément, Valentina Calabrese…·Sophie Ayciriex

The paper uses DIA-MS/MS with Zeno trap and EAD to analyze lipidome and metabolome of amphipods during molting, identifying key molecular changes and improving compound identification through machine learning.

14 citations

non-human primatemetabolomics

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