A comparative strategy for single-nucleus and single-cell transcriptomes confirms accuracy in predicted cell-type expression from nuclear RNA

Scientific Reports

Volumn 7, Issue 1, 2017, Pages

  Lake, Blue B ^a   Codeluppi, Simone ^b   Yung, Yun C ^c   Gao, Derek ^a   Chun, Jerold ^c   Kharchenko, Peter V ^d   Linnarsson, Sten ^b   Zhang, Kun ^a  

^a UNIVERSITY OF CALIFORNIA SAN DIEGO   (United States)

^b KAROLINSKA INSTITUTE   (Sweden)

^c BURNHAM INSTITUTE   (United States)

^d HARVARD MEDICAL SCHOOL   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

TRANSCRIPTOME;

ANIMAL; ANTIBODY SPECIFICITY; BRAIN CORTEX; CELL NUCLEUS; FEMALE; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION; GENETICS; HIGH THROUGHPUT SEQUENCING; MALE; METABOLISM; MOUSE; NERVE CELL; PROCEDURES; SINGLE CELL ANALYSIS;

ANIMALS; CELL NUCLEUS; CEREBRAL CORTEX; FEMALE; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION; HIGH-THROUGHPUT NUCLEOTIDE SEQUENCING; MALE; MICE; NEURONS; ORGAN SPECIFICITY; SINGLE-CELL ANALYSIS; TRANSCRIPTOME;

EID: 85025441550     PISSN: None     EISSN: 20452322     Source Type: Journal    
DOI: 10.1038/s41598-017-04426-w     Document Type: Article

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