Peptide signature for the fast detection of bacterial species in Urinary Tract infections using LC-MS
Ontology highlight
ABSTRACT:
ORGANISM(S): Streptococcus Agalactiae 2603v/r Enterococcus Faecalis V583 Klebsiella Pneumoniae Subsp. Pneumoniae Mgh 78578 Escherichia Coli K-12
SUBMITTER: 
Clarisse Gotti
PROVIDER: PXD014970 | panorama | Wed Oct 09 00:00:00 BST 2019
REPOSITORIES: PanoramaPublic
Publications
Fast and Accurate Bacterial Species Identification in Urine Specimens Using LC-MS/MS Mass Spectrometry and Machine Learning.
Roux-Dalvai Florence F Gotti Clarisse C Leclercq Mickaël M Hélie Marie-Claude MC Boissinot Maurice M Arrey Tabiwang N TN Dauly Claire C Fournier Frédéric F Kelly Isabelle I Marcoux Judith J Bestman-Smith Julie J Bergeron Michel G MG Droit Arnaud A
Molecular & cellular proteomics : MCP 20191004 12
Fast identification of microbial species in clinical samples is essential to provide an appropriate antibiotherapy to the patient and reduce the prescription of broad-spectrum antimicrobials leading to antibioresistances. MALDI-TOF-MS technology has become a tool of choice for microbial identification but has several drawbacks: it requires a long step of bacterial culture before analysis (≥24 h), has a low specificity and is not quantitative. We developed a new strategy for identifying bacterial ...[more]
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