PXD049154 is an
original dataset announced via ProteomeXchange.
Dataset Summary
Title | Functionalizing tandem mass tags for streamlining click-based quantitative chemoproteomics |
Description | We have developed a general reagent that can be seamlessly incorporated into traditional isobaric tag workflows for profiling cysteines. Use of this reagent can speed up workflows by up to 7 hours with increased reproducibility. |
HostingRepository | PRIDE |
AnnounceDate | 2024-04-10 |
AnnouncementXML | Submission_2024-04-10_13:51:43.613.xml |
DigitalObjectIdentifier | |
ReviewLevel | Peer-reviewed dataset |
DatasetOrigin | Original dataset |
RepositorySupport | Unsupported dataset by repository |
PrimarySubmitter | Nik Burton |
SpeciesList | scientific name: Homo sapiens (Human); NCBI TaxID: 9606; |
ModificationList | biotinylated residue |
Instrument | Orbitrap Eclipse |
Dataset History
Revision | Datetime | Status | ChangeLog Entry |
0 | 2024-02-04 10:28:47 | ID requested | |
⏵ 1 | 2024-04-10 13:51:44 | announced | |
Publication List
Keyword List
submitter keyword: cysteine, Isobaric tags, chemoproteomics,TMT, enrichment |
Contact List
Keriann Backus |
contact affiliation | Assistant Professor, Department of Biological Chemistry, UCLA, Los Angeles, California |
contact email | kbackus@mednet.ucla.edu |
lab head | |
Nik Burton |
contact affiliation | UCLA |
contact email | nrburton@ucla.edu |
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/2024/04/PXD049154 |
PRIDE project URI |
Repository Record List
[ + ]
[ - ]
- PRIDE
- PXD049154
- Label: PRIDE project
- Name: Functionalizing tandem mass tags for streamlining click-based quantitative chemoproteomics