Nanogrid single-nucleus RNA sequencing reveals phenotypic diversity in breast cancer

Nature Communications

Volumn 8, Issue 1, 2017, Pages

  Gao, Ruli ^a   Kim, Charissa ^a   Sei, Emi ^a   Foukakis, Theodoros ^b   Crosetto, Nicola ^b   Chan, Leong Keat ^c   Srinivasan, Maithreyan ^c   Zhang, Hong ^a   Meric Bernstam, Funda ^a   Navin, Nicholas ^a  

^a UNIVERSITY OF TEXAS MD ANDERSON CANCER CENTER   (United States)

^b KAROLINSKA INSTITUTE   (Sweden)

^c WaferGen Bio Systems Inc   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

NUCLEAR RNA;

CANCER; CELLS AND CELL COMPONENTS; GENE EXPRESSION; HETEROGENEITY; PHENOTYPE; RNA; SUBPOPULATION; TUMOR;

ARTICLE; BREAST CANCER; BREAST TISSUE; CELL MEMBRANE; CELL PROLIFERATION; CELL SELECTION; CELL SUSPENSION; CONTROLLED STUDY; CYTOPLASM; GENE OVEREXPRESSION; GENETIC VARIABILITY; HIGH THROUGHPUT SEQUENCING; HUMAN; HUMAN CELL; INTRACELLULAR SPACE; NEXT GENERATION SEQUENCING; PHENOTYPE; POISSON DISTRIBUTION; RNA SEQUENCE; SINGLE CELL ANALYSIS; EVALUATION STUDY; GENE EXPRESSION PROFILING; METABOLISM; MICROFLUIDIC ANALYSIS; PAGET NIPPLE DISEASE; SEQUENCE ANALYSIS; TRIPLE NEGATIVE BREAST CANCER; TUMOR CELL LINE;

CARCINOMA, DUCTAL, BREAST; CELL LINE, TUMOR; GENE EXPRESSION PROFILING; HUMANS; MICROFLUIDIC ANALYTICAL TECHNIQUES; PHENOTYPE; SEQUENCE ANALYSIS, RNA; SINGLE-CELL ANALYSIS; TRIPLE NEGATIVE BREAST NEOPLASMS;

EID: 85027226013     PISSN: None     EISSN: 20411723     Source Type: Journal    
DOI: 10.1038/s41467-017-00244-w     Document Type: Article

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