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PXD018445

PXD018445 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleUsing instrument logic to improve identifications in low stoichiometry SILAC/TMT experiments
DescriptionPulsed SILAC approaches allow measurement of protein dynamics, including protein translation and degradation. However, its use in quantifying acute changes has been limited due the low labeled peptide stoichiometry. Here, we describe the use of instrument logic to select peaks of interest via targeted mass differences (TMD) for overcoming this limitation. Comparing peptides artificially mixed at low heavy-to-light stoichiometry measured using standard data dependent acquisition with or without TMD revealed 2-3 fold increases in identification without significant loss in quantification precision for both MS2 and MS3 methods. Our benchmarked method approach increases throughput by reducing the necessary machine time. We anticipate that all pulsed SILAC measurements, if combined with TMT or not, would greatly benefit from instrument logic based approaches.
HostingRepositoryPRIDE
AnnounceDate2020-05-29
AnnouncementXMLSubmission_2020-05-29_01:38:14.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterKevin Klann
SpeciesList scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationListTMT6plex-126 reporter+balance reagent acylated residue; isotope labeled residue; monohydroxylated residue; iodoacetamide derivatized residue
InstrumentOrbitrap Fusion Lumos
Dataset History
RevisionDatetimeStatusChangeLog Entry
02020-04-09 04:20:04ID requested
12020-05-29 01:38:15announced
Publication List
Klann K, M, ü, nch C, Instrument Logic Increases Identifications during Mutliplexed Translatome Measurements. Anal Chem, 92(12):8041-8045(2020) [pubmed]
Keyword List
submitter keyword: TMT, SILAC, Protein dynamics,
Contact List
Christian Münch
contact affiliationInstitute of Biochemistry II, Faculty of Medicine, Goethe University, Frankfurt am Main, Germany Frankfurt Cancer Institute, Frankfurt am Main, Germany Cardio-Pulmonary Institute, Frankfurt am Main, Germany
contact emailch.muench@em.uni-frankfurt.de
lab head
Kevin Klann
contact affiliationUniversitätsklinikum Frankfurt am Main
contact emailklann@em.uni-frankfurt.de
dataset submitter
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Dataset FTP location
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PRIDE project URI
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