PXD037030 is an
original dataset announced via ProteomeXchange.
Dataset Summary
Title | Structural Assessment of the Full-Length Tumor Suppressor Protein p53 by Mass Spectrometry-Guided Computational Modeling |
Description | The tetrameric tumor suppressor p53 represents a great challenge for 3D structural analysis due to its high degree of intrinsic disorder (ca. 40%). We developed and applied an integrative structural biology approach combining complementary techniques of structural mass spectrometry (MS), namely cross-linking mass spectrometry (XL-MS), protein footprinting, and hydrogen/deuterium exchange mass spectrometry (HDX-MS), with advanced protein structure prediction approaches to gain insights into the disordered C-terminal region of p53. Additionally, we evaluate possible differences in p53 regarding solvent accessibility and topology upon DNA binding. Our quantitative XL-MS and lysine labeling data show no major conformational differences in p53 between DNA-bound and DNA-free states. Integration of experimental data generate p53 models for p53’s intrinsically disordered regions (IDRs) that reflect substantial compaction of the molecule. Our models provide the most detailed description of the relationship between p53’s folded regions and IDRs that is available to date. The synergies between complementary structural MS techniques and computational modeling as pursued in our integrative approach is envisioned to serve as general strategy for studying intrinsically disordered proteins (IDPs) and IDRs. |
HostingRepository | PRIDE |
AnnounceDate | 2023-06-26 |
AnnouncementXML | Submission_2023-06-26_10:36:04.876.xml |
DigitalObjectIdentifier | |
ReviewLevel | Peer-reviewed dataset |
DatasetOrigin | Original dataset |
RepositorySupport | Unsupported dataset by repository |
PrimarySubmitter | AlessioDi Ianni |
SpeciesList | scientific name: Escherichia coli; NCBI TaxID: 562; |
ModificationList | No PTMs are included in the dataset |
Instrument | Orbitrap Fusion |
Dataset History
Revision | Datetime | Status | ChangeLog Entry |
0 | 2022-09-27 11:26:28 | ID requested | |
⏵ 1 | 2023-06-26 10:36:05 | announced | |
2 | 2023-11-14 06:53:27 | announced | 2023-11-14: Updated project metadata. |
Publication List
Keyword List
submitter keyword: Computational modeling |
cross-linking mass spectrometry |
DNA binding |
intrinsically disordered proteins |
tumor suppressor p53 |
Contact List
AndreaSinz |
contact affiliation | Department of Pharmaceutical Chemistry and Bioanalytics Center for Structural Mass Spectrometry Institute of Pharmacy Martin Luther University Halle-Wittenberg |
contact email | andrea.sinz@pharmazie.uni-halle.de |
lab head | |
AlessioDi Ianni |
contact affiliation | Department of Pharmaceutical Chemistry and Bioanalytics, Center for Structural Mass Spectrometry, Institute of Pharmacy, Martin Luther University Halle-Wittenberg |
contact email | alessio.di-ianni@pharmazie.uni-halle.de |
dataset submitter | |
Full Dataset Link List
Dataset FTP location
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PRIDE project URI |
Repository Record List
[ + ]
[ - ]
- PRIDE
- PXD037030
- Label: PRIDE project
- Name: Structural Assessment of the Full-Length Tumor Suppressor Protein p53 by Mass Spectrometry-Guided Computational Modeling