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PXD013765-1

PXD013765 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleMulti omics evaluation of cutaneous melanoma cells and their cerebral metastasis from patient derived mouse xenografts suggest individually distinct adaptation strategies
DescriptionBrain metastases of melanoma are associated with therapy resistance and poor prognosis. It is not fully understood whether and how the selection of cells capable of metastasizing into the brain is accompanied by the establishment of specific features. For the investigation of these questions, we made use of previously described xenograft mouse models for primary human melanoma cells distinguishing cutaneous from cerebellar metastases from the same genetic background. Previous experiments suggested that cultured cells derived from these xenografts still maintain properties characteristic for the microenvironment of the originating metastases. Such corresponding pairs of metastatic cells were obtained from four individual donors, resulting in eight cell-lines presently investigated with regard to molecular properties characteristic for metastasis. Label free proteome profiling revealed significant alterations when comparing corresponding pairs of cutaneous and cerebellar metastases from the same donor. Molecules previously associated with metastasis such as cell adhesion molecules, immune regulators, epithelial mesenchymal transition markers, stem cell markers, redox regulators and cytokines were found differently expressed. This was also observed with regard to eicosanoids considered relevant for metastasis such as PGE2 and 12-HETE. However, no commonalities in the molecular characteristics of cerebellar metastases were identified in all four donors. Multiparametric morphological analysis of cells also revealed alterations associated with the kind of metastases, while lacking uniformity. In conclusion, here we describe that xenografted melanoma cells derived from two different microenvironments, i.e. cutaneous and cerebellar metastases, display significant alterations in the expression of molecules associated with metastastic properties. The observed lack of uniformity suggests that metastatic cells may find individual strategies to adapt to their microenvironmental challenges accompanied by the establishment of individual cell characteristics.
HostingRepositoryPRIDE
AnnounceDate2024-10-08
AnnouncementXMLSubmission_2024-10-08_11:37:05.555.xml
DigitalObjectIdentifierhttps://dx.doi.org/10.6019/PXD013765
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportSupported dataset by repository
PrimarySubmitterChristopher Gerner
SpeciesList scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationListOxidation; Acetyl; Carbamidomethyl
InstrumentQ Exactive
Dataset History
RevisionDatetimeStatusChangeLog Entry
02019-05-08 04:05:40ID requested
12024-10-08 11:37:06announced
Publication List
10.6019/PXD013765;
Neuditschko B, Janker L, Niederstaetter L, Brunmair J, Krivanek K, Izraely S, Sagi-Assif O, Meshel T, Keppler BK, Del Favero G, Witz IP, Gerner C, The Challenge of Classifying Metastatic Cell Properties by Molecular Profiling Exemplified with Cutaneous Melanoma Cells and Their Cerebral Metastasis from Patient Derived Mouse Xenografts. Mol Cell Proteomics, 19(3):478-489(2020) [pubmed]
10.1074/mcp.ra119.001886;
Keyword List
curator keyword: Biomedical
submitter keyword: proteome profiling, eicosanoids, xenograft model,brain metastasis, melanoma
Contact List
Christopher Gerner
contact affiliationUniversity of Vienna, Faculty of Chemistry, Department of Analytical Chemistry
contact emailchristopher.gerner@univie.ac.at
lab head
Christopher Gerner
contact affiliationUniversity of Vienna
contact emailchristopher.gerner@univie.ac.at
dataset submitter
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Dataset FTP location
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