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PXD013231-3

PXD013231 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleAnalysis of 1,508 plasma samples of the DiOGenes study - Robust, single shot capillary flow data-independent acquisition to decipher proteomic profiles of weight loss and maintenance
DescriptionBased on our own experience and the evaluation of recent large-scale plasma mass spectrometry (MS) based proteomic studies (1, 2), we identified two outstanding challenges: slow and delicate nano-flow liquid chromatography (LC) and irreproducibility of identification of data-dependent acquisition (DDA). We determined a optimal solution reducing these limitations with robust capillary-flow data-independent acquisition (DIA) MS. This platform is capable of measuring 31 plasma proteomes per day. Using this setup, we acquired a large-scale plasma study of the diet, obesity and genes dietary (DiOGenes) comprising 1,508 samples.
HostingRepositoryPRIDE
AnnounceDate2019-04-11
AnnouncementXMLSubmission_2019-05-14_07:22:32.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterRoland Bruderer
SpeciesList scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationListacetylated residue; iodoacetamide derivatized residue
InstrumentTripleTOF 5600; Q Exactive
Dataset History
RevisionDatetimeStatusChangeLog Entry
02019-03-26 00:46:29ID requested
12019-04-06 00:30:10announced
22019-04-11 00:31:11announcedUpdated project metadata.
32019-05-14 07:22:35announcedUpdated project metadata.
42024-10-22 04:03:07announced2024-10-22: Updated project metadata.
Publication List
Bruderer R, Muntel J, M, ΓΌ, ller S, Bernhardt OM, Gandhi T, Cominetti O, Macron C, Carayol J, Rinner O, Astrup A, Saris WHM, Hager J, Valsesia A, Dayon L, Reiter L, Analysis of 1508 Plasma Samples by Capillary-Flow Data-Independent Acquisition Profiles Proteomics of Weight Loss and Maintenance. Mol Cell Proteomics, 18(6):1242-1254(2019) [pubmed]
Keyword List
curator keyword: Technical, Biological
submitter keyword: plasma proteomics, data-independent acquisition, SWATH, label-free quantification, stable isotope-based quantification, library, single shot, high throughput, clinical proteomics
Contact List
Lukas Reiter
contact affiliationBiognosys AG, Schlieren, Schweiz
contact emaillukas.reiter@biognosys.ch
lab head
Roland Bruderer
contact affiliationBiognosys AG
contact emailroland.bruderer@biognosys.com
dataset submitter
Full Dataset Link List
Dataset FTP location
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PRIDE project URI
Repository Record List
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