COMP-11. SINGLE CELL MASS CYTOMETRY SIGNALING PROFILES AND A NOVEL COMPUTATIONAL TOOL IDENTIFY HIGH RISK GLIOBLASTOMA CELLS

In glioblastoma, changes in signaling, gene sequence, copy number, or transcript expression can define patient subgroups, but these subgroups are not yet associated with differential outcome for most patients with high-risk, IDH wild-type disease. Single cell interrogation of phospho-protein signali...

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Veröffentlicht in:Neuro Oncol
Hauptverfasser: Leelatian, Nalin, Sinnaeve, Justine, Mistry, Akshitkumar, Barone, Sierra, Diggins, Kirsten, Greenplate, Allison, Bartkowiak, Todd, Roe, Caroline, Weaver, Kyle, Thompson, Reid, Chambless, Lola, Mobley, Bret, Irish, Jonathan, Ihrie, Rebecca
Format: Artigo
Sprache:Inglês
Veröffentlicht: Oxford University Press 2019
Schlagworte:
Computational Omics
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC6847566/
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/neuonc/noz175.254
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