<<< Full experiment listing

PXD000879

PXD000879 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleDiscovery proteomics on cutaneous biopsies
DescriptionLyme disease is the most important vector-borne disease in the Northern hemisphere and represents a major public health challenge. The disease diagnosis relies mainly on clinical practice that can be coupled to serological or molecular diagnostics. However the relatively low sensitivity and specificity of the available Lyme diagnostics indicate the urgent need to identify additional highly antigenic borrelial proteins or to develop new strategies of diagnostic. As the skin constitutes a key interface where the pathogens can persist and multiply, we investigated proteomics on skin samples to detect Borrelia proteins directly in cutaneous biopsies in a robust and specific way. We first set up a discovery Ge-LC-MS/MS approach on a murine model infected by B. burgdorferi sensu stricto. This dataset contains all the results concerning this approach.
HostingRepositoryPRIDE
AnnounceDate2016-07-09
AnnouncementXMLSubmission_2016-07-08_17:14:00.xml
DigitalObjectIdentifierhttps://dx.doi.org/10.6019/PXD000879
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportSupported dataset by repository
PrimarySubmitterSchnell Gilles
SpeciesList scientific name: Borrelia burgdorferi 297; NCBI TaxID: 521009;
ModificationListiodoacetamide -site C: 57.021464; acetylated residue: 42.010565; monohydroxylated residue: 15.994915; N-acetylated residue: 42.010565
Instrumention trap
Dataset History
RevisionDatetimeStatusChangeLog Entry
02014-04-04 04:59:42ID requested
12016-07-08 17:14:01announced
Publication List
Schnell G, Boeuf A, Westermann B, Jaulhac B, Lipsker D, Carapito C, Boulanger N, Ehret-Sabatier L, Discovery and targeted proteomics on cutaneous biopsies infected by borrelia to investigate lyme disease. Mol Cell Proteomics, 14(5):1254-64(2015) [pubmed]
Keyword List
submitter keyword: Lyme borreliosis, skin interface, LC-MS/MS
Contact List
Laurence Sabatier
contact affiliationIPHC-DSA-LSMBO-UMR 7178
contact emaillaurence.sabatier@unistra.fr
lab head
Schnell Gilles
contact affiliationIPHC
contact emailgilles.schnell@etu.unistra.fr
dataset submitter
Full Dataset Link List
Dataset FTP location
NOTE: Most web browsers have now discontinued native support for FTP access within the browser window. But you can usually install another FTP app (we recommend FileZilla) and configure your browser to launch the external application when you click on this FTP link. Or otherwise, launch an app that supports FTP (like FileZilla) and use this address: ftp://ftp.pride.ebi.ac.uk/pride/data/archive/2016/07/PXD000879
PRIDE project URI
Repository Record List
[ + ]