Identification of Microorganisms by Liquid Chromatography-Mass Spectrometry (LC-MS
Bacteria
LC-MS1
bioinformatics software
diagnostic
diagnostics
identification of microorganisms
mass spectrometry
microbiology
Journal
Molecular & cellular proteomics : MCP
ISSN: 1535-9484
Titre abrégé: Mol Cell Proteomics
Pays: United States
ID NLM: 101125647
Informations de publication
Date de publication:
12 2020
12 2020
Historique:
received:
26
03
2020
revised:
21
09
2020
pubmed:
2
10
2020
medline:
12
8
2021
entrez:
1
10
2020
Statut:
ppublish
Résumé
Over the past decade, modern methods of MS (MS) have emerged that allow reliable, fast and cost-effective identification of pathogenic microorganisms. Although MALDI-TOF MS has already revolutionized the way microorganisms are identified, recent years have witnessed also substantial progress in the development of liquid chromatography (LC)-MS based proteomics for microbiological applications. For example, LC-tandem MS (LC-MS
Identifiants
pubmed: 32998977
pii: S1535-9476(20)60016-0
doi: 10.1074/mcp.TIR120.002061
pmc: PMC7710138
pii:
doi:
Substances chimiques
Peptide Library
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
2125-2139Informations de copyright
© 2020 Lasch et al.
Déclaration de conflit d'intérêts
Conflict of interest—The authors have declared a conflict of interest. A.S., J.D., and P.L. are the inventors of SPEED and have submitted patent applications related to SPEED.
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