PXD014970

PXD014970 is an original dataset announced via ProteomeXchange.

Title	Peptide signature for the fast detection of bacterial species in Urinary Tract infections using LC-MS
Description	The fast identification of microbial species in clinical samples is essential to provide an appropriated antiobiotherapy to the patient and to reduce the prescription of broad spectrum antimicrobials leading to antibioresistances. We have developed a new strategy for the fast identification of bacterial species in urine using a specific peptide signature designed by combination of proteomics data and machine learning approaches. Thereby, we have developed a 82 peptides signature which, we monitored by targeted proteomics, is able to distinguish between the 15 species the most frequently found in Urinary Tract Infections (UTIs). Our method allows the bacterial identification in less than 4 hours without culturing.
HostingRepository	PanoramaPublic
AnnounceDate	2019-10-09
AnnouncementXML	Submission_2019-10-09_13:55:12.xml
DigitalObjectIdentifier
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Supported dataset by repository
PrimarySubmitter	Clarisse Gotti
SpeciesList	scientific name: Klebsiella pneumoniae subsp. pneumoniae MGH 78578; NCBI TaxID: 272620; scientific name: Enterococcus faecalis V583; NCBI TaxID: 226185; scientific name: Streptococcus agalactiae 2603V/R; NCBI TaxID: 208435; scientific name: Escherichia coli K-12; NCBI TaxID: 83333;
ModificationList	No PTMs are included in the dataset
Instrument	Orbitrap Fusion ETD; Q Exactive HF-X

Revision	Datetime	Status	ChangeLog Entry
0	2019-08-09 10:55:49	ID requested
⏵ 1	2019-10-09 13:55:13	announced

Roux-Dalvai F, Gotti C, Leclercq M, H, é, lie MC, Boissinot M, Arrey TN, Dauly C, Fournier F, Kelly I, Marcoux J, Bestman-Smith J, Bergeron MG, Droit A, Fast and Accurate Bacterial Species Identification in Urine Specimens Using LC-MS/MS Mass Spectrometry and Machine Learning. Mol Cell Proteomics, 18(12):2492-2505(2019) [pubmed]

submitter keyword: Bacterial identification

Peptide signature

Urine

Arnaud Droit
contact affiliation	CHU de Québec - Université Laval research center (Québec, Canada)
contact email	arnaud.droit@crchudequebec.ulaval.ca
lab head
Clarisse Gotti
contact affiliation	CHU de Québec - Université Laval research center (Québec, Canada)
contact email	clarisse.gotti@crchudequebec.ulaval.ca
dataset submitter

Panorama Public dataset URI