Combined expressional analysis, bioinformatics and targeted proteomics identify new potential therapeutic targets in glioblastoma stem cells
Published inOncotarget, vol. 6, no. 28, p. 26192-26215
Publication date2015
Abstract
Keywords
- Animals
- Antineoplastic Agents/therapeutic use
- Biomarkers
- Tumor/genetics/metabolism
- Brain Neoplasms/drug therapy/genetics/metabolism/mortality/pathology
- Cell Differentiation
- Cell Line
- Tumor
- Cell Proliferation
- Computational Biology
- Drug Design
- Gene Expression Profiling/methods
- Gene Expression Regulation
- Neoplastic
- Genotype
- Glioblastoma/drug therapy/genetics/metabolism/mortality/pathology
- Heterografts
- Humans
- Mice
- Molecular Targeted Therapy
- Neoplasm Transplantation
- Neoplastic Stem Cells/drug effects/metabolism/pathology
- Neural Stem Cells/drug effects/metabolism/pathology
- Oligonucleotide Array Sequence Analysis
- Phenotype
- Prognosis
- Protein Interaction Maps
- Proteomics/methods
- Signal Transduction
- Survival Analysis
- Time Factors
- Tumor Cells
- Cultured
Affiliation entities
Research groups
Citation (ISO format)
STANGELAND, Biljana et al. Combined expressional analysis, bioinformatics and targeted proteomics identify new potential therapeutic targets in glioblastoma stem cells. In: Oncotarget, 2015, vol. 6, n° 28, p. 26192–26215. doi: 10.18632/oncotarget.4613
Main files (1)
Article (Published version)
Identifiers
- PID : unige:111892
- DOI : 10.18632/oncotarget.4613
- PMID : 26295306
ISSN of the journal1949-2553