PXD037030

PXD037030 is an original dataset announced via ProteomeXchange.

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	2023-11-14
AnnouncementXML	Submission_2023-11-14_06:53:27.220.xml
DigitalObjectIdentifier
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Unsupported dataset by repository
PrimarySubmitter	Alessio Di Ianni
SpeciesList	scientific name: Escherichia coli; NCBI TaxID: 562;
ModificationList	No PTMs are included in the dataset
Instrument	Orbitrap Fusion

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.

Dataset with its publication pending

submitter keyword: Computational modeling

cross-linking mass spectrometry

DNA binding

intrinsically disordered proteins

tumor suppressor p53

Andrea Sinz
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
Alessio Di 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

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/2023/06/PXD037030

PRIDE project URI

• PRIDE
  1. PXD037030
     1. Label: PRIDE project
     2. Name: Structural Assessment of the Full-Length Tumor Suppressor Protein p53 by Mass Spectrometry-Guided Computational Modeling