PXD007118 is an
original dataset announced via ProteomeXchange.
Dataset Summary
Title | Abl subtrates using tyrosine phosphoproteomics |
Description | In this study, we have prepared a mouse embryonic fibrobalst (MEF) cell line stably expressing R367A mutant human Abl in which the native mouse Abl1 and Abl2 were genetically deleted. We have used these R367A mutant Abl cells in combination with mass spectrometry to identify phosphorylation targets of Abl. Below, we describe these findings and their potential biological significance. |
HostingRepository | PRIDE |
AnnounceDate | 2024-10-22 |
AnnouncementXML | Submission_2024-10-22_04:39:20.702.xml |
DigitalObjectIdentifier | |
ReviewLevel | Peer-reviewed dataset |
DatasetOrigin | Original dataset |
RepositorySupport | Unsupported dataset by repository |
PrimarySubmitter | Min-Sik Kim |
SpeciesList | scientific name: Mus musculus (Mouse); NCBI TaxID: 10090; |
ModificationList | phosphorylated residue |
Instrument | LTQ Orbitrap |
Dataset History
Revision | Datetime | Status | ChangeLog Entry |
0 | 2017-07-25 01:59:09 | ID requested | |
1 | 2018-03-16 00:47:30 | announced | |
⏵ 2 | 2024-10-22 04:39:28 | announced | 2024-10-22: Updated project metadata. |
Publication List
10.1021/acs.biochem.7b01158; |
Wang Z, Kim MS, Martinez-Ferrando I, Koleske AJ, Pandey A, Cole PA, Analysis of Cellular Tyrosine Phosphorylation via Chemical Rescue of Conditionally Active Abl Kinase. Biochemistry, 57(8):1390-1398(2018) [pubmed] |
Keyword List
curator keyword: Biological |
submitter keyword: SILAC,pTyr |
Contact List
Min-Sik Kim |
contact affiliation | Department of Applied Chemistry, Kyung Hee University |
contact email | ms_kim@khu.ac.kr |
lab head | |
Min-Sik Kim |
contact affiliation | Department of Applied Chemistry, Kyung Hee University |
contact email | ms_kim@khu.ac.kr |
dataset submitter | |
Full Dataset Link List
Dataset FTP location
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PRIDE project URI |
Repository Record List
[ + ]
[ - ]
- PRIDE
- PXD007118
- Label: PRIDE project
- Name: Abl subtrates using tyrosine phosphoproteomics