PXD054488

PXD054488 is an original dataset announced via ProteomeXchange.

Title	Heterogeneity Assessment and Protein Pathway Prediction via Spatial Lipidomic and Proteomic Correlation: Advancing Dry Proteomics concept for Human Glioblastoma Prognosis
Description	Prediction of proteins and associated biological pathways from lipid analyses via MALDI MSI is a pressing chal-lenge. We introduced "dry proteomics," using MALDI MSI to validate spatial localization of identified optimal clusters in lipid or protein imaging. Consistent cluster appearance across omics images suggests association with specific lipid and protein pathways, forming the basis of dry proteomics. The methodology was refined using rat brain tissue as a model, then applied to human glioblastoma, a highly heterogeneous cancer. Sequen-tial tissue sections underwent omics MALDI MSI and unsupervised clustering. Differentiated lipid and protein clusters, with distinct spatial locations, were identified. Spatial omics analysis facilitated lipid and protein charac-terization, leading to a predictive model identifying clusters in any tissue based on unique lipid signatures and predicting associated protein pathways. Application to rat brain slices revealed diverse tissue subpopulations, including successfully predicted cerebellum areas. Similar analysis on 50 glioblastoma patients confirmed lipid-protein associations, correlating with patient prognosis.
HostingRepository	PRIDE
AnnounceDate	2025-05-07
AnnouncementXML	Submission_2025-05-06_23:28:16.628.xml
DigitalObjectIdentifier
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Unsupported dataset by repository
PrimarySubmitter	laurine lagache
SpeciesList	scientific name: Rattus norvegicus (Rat); NCBI TaxID: 10116;
ModificationList	No PTMs are included in the dataset
Instrument	timsTOF fleX

Revision	Datetime	Status	ChangeLog Entry
0	2024-08-01 03:40:12	ID requested
⏵ 1	2025-05-06 23:28:17	announced

Lagache L, Zirem Y, Le Rhun É, Fournier I, Salzet M, Predicting Protein Pathways Associated to Tumor Heterogeneity by Correlating Spatial Lipidomics and Proteomics: The Dry Proteomic Concept. Mol Cell Proteomics, 24(1):100891(2025) [pubmed]

10.1016/j.mcpro.2024.100891;

submitter keyword: Spatial Proteomics, Heterogeneity,Dry Proteomics, Machine Learn-ing, Glioblastoma prognosis., Cluster estimation, MALDI MSI multi-omics

Salzet Michel
contact affiliation	PRISM laboratory - Inserm U1192
contact email	michel.salzet@univ-lille.fr
lab head
laurine lagache
contact affiliation	PRISM - Inser U1192
contact email	laurine.lagache@univ-lille.fr
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/2025/05/PXD054488

PRIDE project URI

• PRIDE
  1. PXD054488
     1. Label: PRIDE project
     2. Name: Heterogeneity Assessment and Protein Pathway Prediction via Spatial Lipidomic and Proteomic Correlation: Advancing Dry Proteomics concept for Human Glioblastoma Prognosis