PXD001778

PXD001778 is an original dataset announced via ProteomeXchange.

Title	Quantitative Proteomics Reveals Metabolic Differences in Homing and Non-Homing Glioma Stem Cell Xenografts and Stromal Cells
Description	Glioblastoma is the most common and most devastating adult primary brain tumor. Despite aggressive multimodal therapy, the median survival is approximately one year after diagnosis. In recent years bone marrow-derived human mesenchymal stem cells (BM-hMSCs) have shown promise as cell-based delivery vehicles for anti-glioma therapeutics. This is largely due to their innate ability to migrate towards gliomas. Several studies have successfully demonstrated their use as delivery vehicles for anti-glioma agents. However, it is now evident that BM-hMSCs demonstrate variable tropism towards gliomas based on a clinically relevant glioma stem cell (GSC) model of GBM. In this study, we compared the proteomic profile of cancer and stromal cell populations in GSC xenografts that attract BM-hMSCs (‘attractors’) with those to do not (‘non-attractors’) in order to identify cell-signaling pathways that may modulate BM-hMSCs homing followed by targeted transcriptomic analysis of human gene sets related to glioma biology. We identified lower protein expression of fatty acid metabolism and glucose-dependent metabolic pathways in attractors. While transcriptomic analysis suggested that N-linked glycosylation was increased. Conversely, glucose metabolic pathways, including oxidative phosphorylation, were increased in the stromal cells present in attractors. The results presented here provide the first evidence for glucose metabolism, reactive oxidative species and lipid-mediated tumor inflammatory response, and N-linked glycosylation in the homing of BM-hMSC to GSC xenografts. Reciprocal expression of these pathways in the stromal cell population may suggest microenvironment cross-talk. Our studies provide new insights on the signaling correlates underlying the differential homing capacity of BM-hMSCs to GSC xenografts.
HostingRepository	PRIDE
AnnounceDate	2023-11-14
AnnouncementXML	Submission_2023-11-14_06:37:33.046.xml
DigitalObjectIdentifier
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Unsupported dataset by repository
PrimarySubmitter	Norelle Wildburger
SpeciesList	scientific name: Mus musculus (Mouse); NCBI TaxID: 10090; scientific name: Homo sapiens (Human); NCBI TaxID: 9606; scientific name: Homo sapiens/Mus musculus xenograft; NCBI TaxID: 1383439;
ModificationList	monohydroxylated residue; iodoacetamide derivatized residue
Instrument	LTQ Orbitrap Elite

Revision	Datetime	Status	ChangeLog Entry
0	2015-02-02 01:51:51	ID requested
1	2016-02-17 07:10:53	announced
2	2016-03-08 06:14:04	announced	Updated publication reference for DOI(s): 10.1016/j.euprot.2015.06.006.
⏵ 3	2023-11-14 06:37:33	announced	2023-11-14: Updated project metadata.

Dataset with its publication pending

curator keyword: Biomedical

submitter keyword: fatty acid metabolism glycolysis, glycosylation, pentose phosphate pathway, mass spectrometry, cancer proteomics,Glioblastoma, bone marrow-derived human mesenchymal stem cells (BM-hMSCs), transcriptomics

Carol L. Nilsson
contact affiliation	UTMB Department of Pharmacology & Toxicology
contact email	clnilsso@utmb.edu
lab head
Norelle Wildburger
contact affiliation	Washington University
contact email	n.wildburger@wustl.edu
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/2016/02/PXD001778

PRIDE project URI

• PRIDE
  1. PXD001778
     1. Label: PRIDE project
     2. Name: Quantitative Proteomics Reveals Metabolic Differences in Homing and Non-Homing Glioma Stem Cell Xenografts and Stromal Cells