PXD031848 is an
original dataset announced via ProteomeXchange.
Dataset Summary
Title | ABPP-HT* - Deep meets fast for activity-based profiling of deubiquitylating enzymes using advanced DIA mass spectrometry methodsABPP-HT* - Deep meets fast for activity-based profiling of deubiquitylating enzymes using advanced DIA mass spectrometry methods |
Description | Activity-based protein profiling (ABPP) uses a combination of activity-based chemical probes with mass spectrometry (MS) to selectively characterise a particular enzyme or enzyme class. ABPP has proven invaluable for profiling enzymatic inhibitors in drug discovery. When applied to cell extracts and cells, challenging the ABP-enzyme complex formation with a small molecule can simultaneously inform on potency, selectivity, reversibility/binding affinity, permeability, and stability. ABPP can also be applied to pharmacodynamic studies to inform on cellular target engagement within specific organs when applied to in vivo models. Recently, we established separate high depth and high throughput ABPP (ABPP-HT) protocols for the profiling of deubiquitylating enzymes (DUBs). However, the combination of the two, deep and fast, in one method has been elusive. To further increase the sensitivity of the current ABPP-HT workflow we implemented state-of-the-art data-independent acquisition (DIA) and data-dependent acquisition (DDA) MS analysis tools. Hereby, we describe an improved methodology, ABPP-HT* (enhanced high-throughput-compatible activity-based protein profiling), that in combination with DIA MS methods allowed for the consistent profiling of 35-40 DUBs and provided a reduced number of missing values, whilst maintaining a throughput of 100 samples per day. |
HostingRepository | PRIDE |
AnnounceDate | 2022-05-27 |
AnnouncementXML | Submission_2022-05-27_02:49:40.644.xml |
DigitalObjectIdentifier | |
ReviewLevel | Peer-reviewed dataset |
DatasetOrigin | Original dataset |
RepositorySupport | Unsupported dataset by repository |
PrimarySubmitter | Adan Pinto-Fernandez |
SpeciesList | scientific name: Homo sapiens (Human); NCBI TaxID: 9606; |
ModificationList | No PTMs are included in the dataset |
Instrument | timsTOF Pro |
Dataset History
Revision | Datetime | Status | ChangeLog Entry |
0 | 2022-02-23 10:02:03 | ID requested | |
⏵ 1 | 2022-05-27 02:49:42 | announced | |
Publication List
Jones HBL, Heilig R, Davis S, Fischer R, Kessler BM, Pinto-Fern, รก, ndez A, ABPP-HT*-Deep Meets Fast for Activity-Based Profiling of Deubiquitylating Enzymes Using Advanced DIA Mass Spectrometry Methods. Int J Mol Sci, 23(6):(2022) [pubmed] |
Keyword List
submitter keyword: activitomics, activity-based probes, chemical biology, data-independent acquisition mass spectrometry (DIA), deubiquitylating enzymes, drug discovery, mass spectrometry, proteomics, ubiquitin |
Contact List
Benedikt Kessler |
contact affiliation | TDI-NDM (University of Oxford) |
contact email | benedikt.kessler@ndm.ox.ac.uk |
lab head | |
Adan Pinto-Fernandez |
contact affiliation | University of Oxford |
contact email | adan.pintofernandez@ndm.ox.ac.uk |
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/2022/04/PXD031848 |
PRIDE project URI |
Repository Record List
[ + ]
[ - ]
- PRIDE
- PXD031848
- Label: PRIDE project
- Name: ABPP-HT* - Deep meets fast for activity-based profiling of deubiquitylating enzymes using advanced DIA mass spectrometry methodsABPP-HT* - Deep meets fast for activity-based profiling of deubiquitylating enzymes using advanced DIA mass spectrometry methods