Glioblastoma cellular architectures are predicted through the characterization of two-cell interactions

Proceedings of the National Academy of Sciences of the United States of America

Volumn 111, Issue 17, 2014, Pages 6521-6526

  Kravchenko Balasha, Nataly ^a   Wang, Jun ^a   Remacle, Francoise ^b,c   Levine, R D ^c,d   Heath, James R ^a,d  

^a California Institute of Technology   (United States)

^b UNIVERSITY OF LIÈGE   (Belgium)

^c HEBREW UNIVERSITY OF JERUSALEM   (Israel)

^d UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Biological steady state; Cancer cell cell signaling; GBM; Surprisal analysis; Two body cell cell interaction

Indexed keywords

EPIDERMAL GROWTH FACTOR RECEPTOR;

ARTICLE; CARCINOGENESIS; CELL ASSAY; CELL CULTURE; CELL INTERACTION; CELL SEPARATION; CELLULAR DISTRIBUTION; COORDINATION; CYTOARCHITECTURE; CYTOLYSIS; ENTROPY; GLIOBLASTOMA; ONCOGENE; PRIORITY JOURNAL; PROTEIN EXPRESSION; PROTEIN LOCALIZATION; SIGNAL TRANSDUCTION; STEADY STATE; THERMODYNAMICS;

BIOLOGICAL STEADY STATE; CANCER CELL-CELL SIGNALING; GBM; SURPRISAL ANALYSIS; TWO-BODY CELL-CELL INTERACTION;

BRAIN NEOPLASMS; CELL COMMUNICATION; CELL LINE, TUMOR; GLIOBLASTOMA; HUMANS; MODELS, BIOLOGICAL; RECEPTOR, EPIDERMAL GROWTH FACTOR; REPRODUCIBILITY OF RESULTS; SIGNAL TRANSDUCTION; SINGLE-CELL ANALYSIS;

EID: 84899645410     PISSN: 00278424     EISSN: 10916490     Source Type: Journal    
DOI: 10.1073/pnas.1404462111     Document Type: Article

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