PXD037491 is an
original dataset announced via ProteomeXchange.
Dataset Summary
Title | Optimization of Higher-Energy Collisional Dissociation Fragmentation Energies for Intact Protein-level Tandem Mass Tag Labeling |
Description | Isobaric chemical tag labeling (e.g., iTRAQ and TMT) is a commonly used approach in quantitative proteomics research. Typically, peptides are covalently labeled with isobaric chemical tags, and quantification is enabled through detection of low-mass reporter ions generated after MS2 fragmentation. Recently, we have introduced and optimized a platform for intact protein-level TMT labeling that demonstrated >90% labeling efficiency in complex sample with top-down proteomics. Higher-energy collisional dissociation (HCD) is a commonly utilized fragmentation method for peptide-level isobaric chemical tag labeling because it produces accurate reporter ion intensities and avoids the loss of low mass ions. HCD energies have been optimized for peptide-level isobaric chemical tag labeling; however, fragmentation energies have not been systematically evaluated for TMT-labeled intact proteins for both protein identification and quantitation. In this study, we report a systematic evaluation of normalized HCD fragmentation energies on TMT-labeled HeLa lysate with top-down proteomics. Our results suggested that reporter ions often require higher collisional energy for higher ion intensities while most of intact proteins fragment when normalized HCD energies are between 30% and 50%. We further demonstrated that a stepped HCD fragmentation scheme with energies between 30 and 50% resulted in the optimized quantitation and identification for TMT-labeled intact HeLa protein lysate by providing average reporter ion intensity as > 3.60 E4 and average PrSM as > 1000 PrSM counts with high confidence. |
HostingRepository | PRIDE |
AnnounceDate | 2023-11-14 |
AnnouncementXML | Submission_2023-11-14_07:55:33.502.xml |
DigitalObjectIdentifier | |
ReviewLevel | Peer-reviewed dataset |
DatasetOrigin | Original dataset |
RepositorySupport | Unsupported dataset by repository |
PrimarySubmitter | Yanting Guo |
SpeciesList | scientific name: Homo sapiens (Human); NCBI TaxID: 9606; |
ModificationList | TMT6plex-126 reporter+balance reagent acylated residue |
Instrument | Orbitrap Exploris 240 |
Dataset History
Revision | Datetime | Status | ChangeLog Entry |
0 | 2022-10-17 01:30:48 | ID requested | |
1 | 2023-01-17 14:45:24 | announced | |
⏵ 2 | 2023-11-14 07:55:34 | announced | 2023-11-14: Updated project metadata. |
Publication List
Guo Y, Chowdhury T, Seshadri M, Cupp-Sutton KA, Wang Q, Yu D, Wu S, Optimization of Higher-Energy Collisional Dissociation Fragmentation Energy for Intact Protein-Level Tandem Mass Tag Labeling. J Proteome Res, 22(5):1406-1418(2023) [pubmed] |
Keyword List
submitter keyword: protein-level TMT labeling |
top-down proteomics |
quantitative proteomics |
HCD |
Contact List
Si Wu |
contact affiliation | University of Oklahoma |
contact email | si.wu@ou.edu |
lab head | |
Yanting Guo |
contact affiliation | University of Oklahoma |
contact email | Yanting.Guo-1@ou.edu |
dataset submitter | |
Full Dataset Link List
Dataset FTP location
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PRIDE project URI |
Repository Record List
[ + ]
[ - ]
- PRIDE
- PXD037491
- Label: PRIDE project
- Name: Optimization of Higher-Energy Collisional Dissociation Fragmentation Energies for Intact Protein-level Tandem Mass Tag Labeling