Modeling microRNA-transcription factor networks in cancer

Advances in Experimental Medicine and Biology

Volumn 774, Issue , 2013, Pages 149-167

  Aguda, Baltazar D ^a  

^a NATIONAL CANCER INSTITUTE   (United States)

Author keywords

Cancer zone; E2F; Feedback loops; Feedforward loops; Mathematical modeling; MiR 17 92; Myc; P53; Qualitative network

Indexed keywords

EPIDERMAL GROWTH FACTOR RECEPTOR; MICRORNA; MICRORNA 124; MICRORNA 128; MICRORNA 145; MICRORNA 17 92; MICRORNA 25; MICRORNA 32; MICRORNA 34A; MICRORNA 9; MYC PROTEIN; NUCLEAR RECEPTOR NR2E1; PROTEIN P53; REST PROTEIN; STAT3 PROTEIN; TRANSCRIPTION FACTOR; TRANSCRIPTION FACTOR E2F1; TRANSCRIPTION FACTOR NFIB; TRANSCRIPTION FACTOR SOX2; UNCLASSIFIED DRUG;

ARTICLE; CANCER ZONE; CELL DIFFERENTIATION; CELL PROLIFERATION; G1 PHASE CELL CYCLE CHECKPOINT; GLIOBLASTOMA; HUMAN; MATHEMATICAL MODEL; NEGATIVE FEEDBACK; ONCOGENE; ONCOLOGICAL PARAMETERS; OSCILLATION; POSITIVE FEEDBACK; PRIORITY JOURNAL; PROTEIN EXPRESSION; PROTEIN RNA BINDING; QUALITATIVE NETWORK; STEADY STATE; TUMOR SUPPRESSOR GENE; ANIMAL; BIOLOGICAL MODEL; FEEDBACK SYSTEM; GENE REGULATORY NETWORK; GENETICS; METABOLISM; NEOPLASM; REVIEW;

ANIMALS; FEEDBACK, PHYSIOLOGICAL; GENE REGULATORY NETWORKS; HUMANS; MICRORNAS; MODELS, GENETIC; NEOPLASMS; TRANSCRIPTION FACTORS;

MLCS; MLOWN;

EID: 84934438073     PISSN: 00652598     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-94-7-5590-1_9     Document Type: Article

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