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Nature, ISSN 0028-0836, 01/2010, Volume 463, Issue 7279, pp. 318 - 325
The inference of transcriptional networks that regulate transitions into physiological or pathological cellular states remains a central challenge in systems... 
SURVIVAL | GROWTH-FACTOR RECEPTOR | NEURAL STEM-CELLS | GLIOBLASTOMA | MULTIDISCIPLINARY SCIENCES | DISEASE | C-MYC | MECHANISMS | DIFFERENTIATION | EXPRESSION | BINDING | Neurons - pathology | Prognosis | Glioma - diagnosis | Humans | Brain Neoplasms - pathology | Gene Expression Regulation, Neoplastic | Gene Regulatory Networks | Glioma - genetics | Cell Differentiation - genetics | Cell Transformation, Neoplastic - genetics | Neoplasm Invasiveness - pathology | Glioma - pathology | Transcription, Genetic | Neurons - metabolism | Cellular Reprogramming - genetics | STAT3 Transcription Factor - genetics | STAT3 Transcription Factor - metabolism | Reproducibility of Results | Brain Neoplasms - diagnosis | CCAAT-Enhancer-Binding Protein-beta - genetics | Computational Biology | Brain Neoplasms - genetics | Mesenchymal Stromal Cells - metabolism | Mice, SCID | Cell Transformation, Neoplastic - metabolism | CCAAT-Enhancer-Binding Protein-beta - metabolism | Animals | Cell Line, Tumor | Mice, Inbred NOD | Mesoderm - metabolism | Mice | Mesenchymal Stromal Cells - pathology | Cell Transformation, Neoplastic - pathology | Neoplasm Invasiveness - genetics | Mesoderm - pathology | Transcription factors | Gliomas | Physiological aspects | Genetic aspects | Research | Genetic transcription | Risk factors | Proteins | Genotype & phenotype | Brain | Reverse engineering | Brain cancer | Regression analysis | Gene expression | Index Medicus
Journal Article
Nature Genetics, ISSN 1061-4036, 07/2016, Volume 48, Issue 7, pp. 768 - 776
Glioblastoma (GBM) is the most common and aggressive primary brain tumor. To better understand how GBM evolves, we analyzed longitudinal genomic and... 
GENE FUSIONS | TGF-BETA | CANCER GENOMICS | LANDSCAPE | GLIOMA | GENETICS & HEREDITY | GENOMIC ALTERATIONS | MSH6 MUTATIONS | SEQUENCING DATA | BRAIN-TUMORS | TEMOZOLOMIDE | Cell Proliferation | Dacarbazine - therapeutic use | Genomics | Humans | Brain Neoplasms - pathology | DNA Repair Enzymes - genetics | Gene Expression Regulation, Neoplastic | Transcriptome | Neoplasm Recurrence, Local - drug therapy | Clonal Evolution - genetics | Neoplasm Recurrence, Local - pathology | Neoplasm Grading | Glioblastoma - genetics | Tumor Suppressor Proteins - genetics | Dacarbazine - analogs & derivatives | Brain Neoplasms - genetics | Isocitrate Dehydrogenase - genetics | Survival Rate | Brain Neoplasms - drug therapy | Mutation - genetics | Antineoplastic Agents, Alkylating - therapeutic use | Latent TGF-beta Binding Proteins - genetics | DNA Modification Methylases - genetics | Transforming Growth Factor beta - genetics | Glioblastoma - pathology | Neoplasm Recurrence, Local - genetics | Biomarkers, Tumor - genetics | Glioblastoma - drug therapy | Longitudinal Studies | Molecular targeted therapy | Care and treatment | Gene mutations | Development and progression | Genetic aspects | Genetic transcription | Glioblastoma multiforme | Health aspects | Methods | Brain cancer | Genomes | Gene expression | Cancer therapies | Studies | Archives & records | DNA methylation | Mathematical models | Mutation | Deoxyribonucleic acid--DNA | Tumors | Cancer | Index Medicus
Journal Article
Science, ISSN 0036-8075, 9/2012, Volume 337, Issue 6099, pp. 1231 - 1235
The brain tumor glioblastoma multiforme (GBM) is among the most lethal forms of human cancer. Here, we report that a small subset of GBMs (3.1%; 3 of 97 tumors... 
Exons | Neurons | Genes | REPORTS | Stem cells | Aneuploidy | Chromosomes | Cells | Tumors | Daughter cells | Cancer | ANEUPLOIDY | SELECTIVE INHIBITOR | POTENT | MULTIDISCIPLINARY SCIENCES | CANCER | RECEPTOR TYROSINE KINASE | DISCOVERY | CHROMOSOMAL INSTABILITY | FAMILY | Microtubule-Associated Proteins - chemistry | Neoplasm Transplantation | Translocation, Genetic | Oncogene Proteins, Fusion - metabolism | Receptor, Fibroblast Growth Factor, Type 3 - chemistry | Microtubule-Associated Proteins - genetics | Microtubule-Associated Proteins - metabolism | Mitosis | Humans | Receptor, Fibroblast Growth Factor, Type 1 - metabolism | Receptor, Fibroblast Growth Factor, Type 3 - antagonists & inhibitors | Fetal Proteins - metabolism | Receptor, Fibroblast Growth Factor, Type 1 - genetics | Receptor, Fibroblast Growth Factor, Type 3 - metabolism | Brain Neoplasms - metabolism | Oncogene Proteins, Fusion - chemistry | Spindle Apparatus - metabolism | Glioblastoma - genetics | Oncogene Fusion | Glioblastoma - metabolism | Antineoplastic Agents - pharmacology | Benzamides - pharmacology | Nuclear Proteins - genetics | Chromosomal Instability | Pyrazoles - pharmacology | Protein Structure, Tertiary | Receptor, Fibroblast Growth Factor, Type 3 - genetics | Enzyme Inhibitors - pharmacology | Brain Neoplasms - genetics | Nuclear Proteins - metabolism | Pyrimidines - pharmacology | Nuclear Proteins - chemistry | Piperazines - pharmacology | Receptor, Fibroblast Growth Factor, Type 1 - antagonists & inhibitors | Xenograft Model Antitumor Assays | Animals | Cell Transformation, Neoplastic | Oncogene Proteins, Fusion - genetics | Fetal Proteins - genetics | Mice | Receptor, Fibroblast Growth Factor, Type 1 - chemistry | Fetal Proteins - chemistry | Physiological aspects | Development and progression | Fibroblast growth factors | Genetic aspects | Research | Health aspects | Glioblastoma multiforme | Proteins | Kinases | Brain cancer | Genomics | Pharmaceutical sciences | Index Medicus
Journal Article
Hepatology, ISSN 0270-9139, 09/2015, Volume 62, Issue 3, pp. 784 - 791
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BMC Systems Biology, ISSN 1752-0509, 09/2014, Volume 8, Issue 1, pp. 97 - 97
Background: The extraordinary success of imatinib in the treatment of BCR-ABL1 associated cancers underscores the need to identify novel functional gene... 
Gene fusion | Next-generation sequencing | Machine learning | LANDSCAPE | IDENTIFICATION | DISCOVERY | LUNG-CANCER | TRANSCRIPTS | GLIOBLASTOMA | RNA-SEQ | MATHEMATICAL & COMPUTATIONAL BIOLOGY | FRAMEWORK |