From single cells to deep phenotypes in cancer

Nature Biotechnology

Volumn 30, Issue 7, 2012, Pages 639-647

  Bendall, Sean C ^a   Nolan, Garry P ^a  

^a STANFORD UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CANCER BIOLOGY; CANCER CELLS; CELL FUNCTIONS; CELL MARKERS; COMPUTATIONAL APPROACH; DATA SETS; DIAGNOSTIC MODALITY; DISEASE PROGRESSION; HIGH-THROUGHPUT; INTRACELLULAR NETWORKS; LIVING CELL; SINGLE CELLS; SINGLE-CELL MEASUREMENTS; SUPER-RESOLUTION MICROSCOPY; TUMOR CELLS; TUMOR DEVELOPMENT;

CELL CULTURE; CELL PROLIFERATION; DATA VISUALIZATION; DIAGNOSIS; FLOW CYTOMETRY; ISOTOPES; RNA; STEM CELLS; TUMORS; VISUALIZATION;

DISEASES;

RNA; TRASTUZUMAB;

ACUTE GRANULOCYTIC LEUKEMIA; CANCER CELL; CELL SHAPE; DNA SEQUENCE; FLOW CYTOMETRY; FLUORESCENCE ACTIVATED CELL SORTING; FLUORESCENCE IN SITU HYBRIDIZATION; GENE MUTATION; HUMAN; MATRIX ASSISTED LASER DESORPTION IONIZATION TIME OF FLIGHT MASS SPECTROMETRY; NEOPLASM; PHENOTYPE; POLYMERASE CHAIN REACTION; PRIORITY JOURNAL; PROTEIN EXPRESSION; REVIEW; RNA SEQUENCE; SIGNAL TRANSDUCTION; TIME OF FLIGHT MASS SPECTROMETRY; TUMOR GROWTH;

ANTIBODIES; FLOW CYTOMETRY; GENE EXPRESSION; GENETIC HETEROGENEITY; HUMANS; NEOPLASMS; PHENOTYPE; RNA; SIGNAL TRANSDUCTION; SINGLE-CELL ANALYSIS;

EID: 84863697677     PISSN: 10870156     EISSN: 15461696     Source Type: Journal    
DOI: 10.1038/nbt.2283     Document Type: Review

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