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PXD038836

PXD038836 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleElucidating Fibroblast Growth Factor-induced kinome dynamics using targeted mass spectrometry and dynamic modeling
DescriptionFibroblast growth factors (FGFs) are paracrine or endocrine signaling proteins that when activated by their ligands, can elicit a wide range of healthy and disease-related processes such as cell proliferation and the epithelial-to-mesenchymal transition (EMT). The detailed molecular pathway dynamics that coordinate these responses have remained unclear. To elucidate and monitor these dynamics we stimulated MCF-7 breast cancer cells with either FGF2, 3, 4, 10, or 19. Following activation of the receptor, we quantified the kinase activity dynamics of 44 kinases using a targeted mass spectrometry assay. Our system-wide kinase activity data, supplemented with (phopsho)proteomics data, reveal ligand-dependent distinct pathway dynamics, elucidate the involvement of not earlier reported kinases such as MARK, and revise some of the pathway effects on biological outcomes. In addition, logic-based dynamic modeling of the kinome dynamics further verifies the biological goodness-of-fit of the predicted models and reveals tight regulation of the RAF kinase family.
HostingRepositoryPRIDE
AnnounceDate2024-10-22
AnnouncementXMLSubmission_2024-10-22_05:51:39.686.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterTim Veth
SpeciesList scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationListiodoacetamide derivatized residue
InstrumentQ Exactive HF
Dataset History
RevisionDatetimeStatusChangeLog Entry
02022-12-14 21:51:43ID requested
12023-07-02 04:26:38announced
22023-11-14 09:01:45announced2023-11-14: Updated project metadata.
32024-10-22 05:51:40announced2024-10-22: Updated project metadata.
Publication List
10.1016/j.mcpro.2023.100594;
Veth TS, Francavilla C, Heck AJR, Altelaar M, Elucidating Fibroblast Growth Factor-Induced Kinome Dynamics Using Targeted Mass Spectrometry and Dynamic Modeling. Mol Cell Proteomics, 22(8):100594(2023) [pubmed]
Keyword List
submitter keyword: Phosphoproteomics
kinase
targeted mass spectrometry
kinase dynamics
fibroblast growth factors
dynamic modeling
fibroblast growth factor receptor
breast cancer. 
Contact List
Maarten Altelaar
contact affiliation1. Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, University of Utrecht, Padualaan 8, Utrecht, 3584 CH, The Netherlands 2. Netherlands Proteomics Center, Padualaan 8, Utrecht, 3584 CH, The Netherlands
contact emailm.altelaar@uu.nl
lab head
Tim Veth
contact affiliationUtrecht University
contact emailt.s.veth@uu.nl
dataset submitter
Full Dataset Link List
Dataset FTP location
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PRIDE project URI
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