An information theoretic, microfluidic-based single cell analysis permits identification of subpopulations among putatively homogeneous stem cells

PLoS ONE

Volumn 6, Issue 6, 2011, Pages

  Glotzbach, Jason P ^a   Januszyk, Michael ^a   Vial, Ivan N ^a   Wong, Victor W ^a   Gelbard, Alexander ^a   Kalisky, Tomer ^a   Thangarajah, Hariharan ^a   Longaker, Michael T ^a   Quake, Stephen R ^a   Chu, Gilbert ^a   Gurtner, Geoffrey C ^a  

^a STANFORD UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANIMAL CELL; ARTICLE; CELL FUNCTION; CELL HETEROGENEITY; CELL SUBPOPULATION; GENETIC TRANSCRIPTION; HEMATOPOIETIC STEM CELL; INFORMATION SCIENCE; MALE; MICROFLUIDIC BASED SINGLE CELL ANALYSIS; MOUSE; NOISE; NONHUMAN; SINGLE CELL ANALYSIS; ALGORITHM; ANIMAL; BIOLOGICAL MODEL; C57BL MOUSE; CLUSTER ANALYSIS; CYTOLOGY; FLOW CYTOMETRY; GENE EXPRESSION REGULATION; METABOLISM; METHODOLOGY; MICROFLUIDICS; MULTIVARIATE ANALYSIS; TIME;

MAMMALIA; MURINAE;

ALGORITHMS; ANIMALS; CLUSTER ANALYSIS; FLOW CYTOMETRY; GENE EXPRESSION REGULATION; HEMATOPOIETIC STEM CELLS; INFORMATION THEORY; MALE; MICE; MICE, INBRED C57BL; MICROFLUIDICS; MODELS, BIOLOGICAL; MULTIVARIATE ANALYSIS; SINGLE-CELL ANALYSIS; TIME FACTORS; TRANSCRIPTION, GENETIC;

EID: 79959385536     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0021211     Document Type: Article

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