Discriminating cellular heterogeneity using microwell-based RNA cytometry

Nature Communications

Volumn 5, Issue , 2014, Pages

  Dimov, Ivan K ^a,b   Lu, Rong ^b   Lee, Eric P ^a,b   Seita, Jun ^b   Sahoo, Debashis ^b   Park, Seung Min ^a,b   Weissman, Irving L ^b   Lee, Luke P ^a  

^a University of California at Berkeley   (United States)

^b STANFORD UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

RNA; MESSENGER RNA;

AGING; CELL ORGANELLE; HETEROGENEITY; MONTE CARLO ANALYSIS; PHYSIOLOGY; RNA;

AGING; ANIMAL CELL; ARTICLE; BIRC6 GENE; CELL COUNT; CELL HETEROGENEITY; CELL SUBPOPULATION; CONTROLLED STUDY; CYTOMETRY; GENE; GENE IDENTIFICATION; HEMATOPOIETIC STEM CELL; MICROWELL BASED RNA CYTOMETRY; MONTE CARLO METHOD; MOUSE; NONHUMAN; RNA ANALYSIS; ANIMAL; CELL SEPARATION; GENE EXPRESSION PROFILING; GENETICS; METABOLISM; MICROARRAY ANALYSIS; PROCEDURES; REVERSE TRANSCRIPTION POLYMERASE CHAIN REACTION;

AGING; ANIMALS; CELL SEPARATION; GENE EXPRESSION PROFILING; MICE; MICROARRAY ANALYSIS; REVERSE TRANSCRIPTASE POLYMERASE CHAIN REACTION; RNA, MESSENGER;

EID: 84897077889     PISSN: None     EISSN: 20411723     Source Type: Journal    
DOI: 10.1038/ncomms4451     Document Type: Article

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