PXD051795 is an
original dataset announced via ProteomeXchange.
Dataset Summary
Title | Single-cell-type Spatial Proteomics Unveils Precision Medicine Insights in Composite Small Lymphocytic and Classical Hodgkin Lymphoma |
Description | Deep Visual Proteomics (DVP) is an innovative technique that enables spatially resolved sing-cell-type proteome analysis. The coexistence of classical Hodgkin lymphoma (cHL) and small lymphocytic lymphoma (SLL) in a single patient presents a challenging scenario for clinical decision-making. In this study, we investigate the potential of DVP to provide insights into precision medicine strategies. We use DVP to comprehensively profile the proteomic landscapes and signaling pathways within cHL and SLL compartments in a 71-year-old woman with composite lymphoma. Our analysis reveals distinct proteome profiles in cHL and SLL populations, highlighting their clonal unrelatedness. Beyond ABVD chemotherapy, we identify subtype-specific therapeutic targets: Minichromosome Maintenance protein inhibitors and proteasome inhibitors for cHL, and H3K27 methylation inhibitors and receptor tyrosine kinase inhibitors for SLL. Additionally, we explore interleukin-4 inhibition as a potential strategy to manage chemo-resistance. DVP provides insights into spatial single-cell proteomics, guiding personalized treatments for composite lymphoma patients. |
HostingRepository | PRIDE |
AnnounceDate | 2024-10-29 |
AnnouncementXML | Submission_2024-10-29_04:45:12.076.xml |
DigitalObjectIdentifier | |
ReviewLevel | Peer-reviewed dataset |
DatasetOrigin | Original dataset |
RepositorySupport | Unsupported dataset by repository |
PrimarySubmitter | Mario Oroshi |
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 | 2024-04-27 08:38:52 | ID requested | |
⏵ 1 | 2024-10-29 04:45:12 | announced | |
Publication List
Dataset with its publication pending |
Keyword List
submitter keyword: Composite lymphoma |
Spatial proteomics |
Mass spectrometry |
Precision oncology |
DVP |
Contact List
Matthias Mann |
contact affiliation | 1. Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Copenhagen, Denmark; 2. Proteomics and Singal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany |
contact email | matthias.mann@cpr.ku.dk |
lab head | |
Mario Oroshi |
contact affiliation | Proteomics |
contact email | oroshi@biochem.mpg.de |
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/2024/10/PXD051795 |
PRIDE project URI |
Repository Record List
[ + ]
[ - ]
- PRIDE
- PXD051795
- Label: PRIDE project
- Name: Single-cell-type Spatial Proteomics Unveils Precision Medicine Insights in Composite Small Lymphocytic and Classical Hodgkin Lymphoma