PXD051795

PXD051795 is an original dataset announced via ProteomeXchange.

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

Revision	Datetime	Status	ChangeLog Entry
0	2024-04-27 08:38:52	ID requested
⏵ 1	2024-10-29 04:45:12	announced

Dataset with its publication pending

submitter keyword: Composite lymphoma

Spatial proteomics

Mass spectrometry

Precision oncology

DVP

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

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

• PRIDE
  1. PXD051795
     1. Label: PRIDE project
     2. Name: Single-cell-type Spatial Proteomics Unveils Precision Medicine Insights in Composite Small Lymphocytic and Classical Hodgkin Lymphoma