Dynamic State Space Modeling of Cancer Cell Response to Therapy

癌细胞对治疗反应的动态空间建模

• 批准号: 7802563
• 负责人: GARRY P NOLAN
• 金额: $ 121.67万
• 依托单位: UNIVERSITY OF SOUTHERN CALIFORNIA
• 依托单位国家: 美国
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-01 至 2014-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7802563
• 关键词: 11q23; Acute Myelocytic Leukemia; Affect; Animal Model; Anthracyclines; Behavior; Binding; Biological Assay; Burkitt Lymphoma; Cell Line; Cell physiology; Cell surface; Cells; Clinical; Computing Methodologies; Cyclophosphamide; Cytarabine; Cytogenetics; Cytolysis; Data; Data Set; Development; Disease; Environment; Equation; Event; Evolution; Experimental Designs; Future; Gene Expression Profile; Gene Proteins; Gene Transfer; Genes; Genetic; Genetic Transcription; Genome; Genomics; Genotype; Goals; Heterogeneity; Human; In Vitro; Individual; Intervention; Kinetics; Knowledge; Lead; Learning; Lymphoma; MLL gene; MLLT3 gene; Malignant Neoplasms; Mammalian Cell; Measurement; Measures; Messenger RNA; Methods; Modeling; Molecular; Molecular Models; Mutation; Non-Hodgkin' s Lymphoma; Outcome; Pathway interactions; Patients; Phenotype; Phosphorylation; Physiological; Post-Translational Protein Processing; Printing; Protein Array; Protein C; Proteins; Proteome; Proteomics; RNA Interference; RUNX1 gene; Regulation; Research Project Grants; Resistance; Sampling; Series; Shotguns; Signal Transduction; Signaling Protein; Simulate; Space Models; Staging; System; TP53 gene; Technology; Therapeutic; Time; base; cancer cell; chemotherapy; clinically relevant; design; expression vector; falls; genome-wide; improved; instrument; leukemia/lymphoma; mRNA Expression; mathematical model; model development; molecular modeling; molecular phenotype; mouse model; network models; novel; outcome forecast; protein B; research study; response; single cell proteins; t(8; 21)(q22; q22); tumor; tumor growth; tumor progression