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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Detalhes bibliográficos
Publicado no:Neuro Oncol
Main Authors: 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
Formato: Artigo
Idioma:Inglês
Publicado em: Oxford University Press 2019
Assuntos:
Computational Omics
Acesso em linha: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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