Transcriptome profiling and network analysis of genetically hypertensive mice identifies potential pharmacological targets of hypertension

Physiological Genomics

Volumn 42 A, Issue 1, 2010, Pages 24-32

  Puig, Oscar ^a   Wang, I Ming ^a   Cheng, Ping ^a   Zhou, Pris ^a   Roy, Sophie ^a   Cully, Doris ^a   Peters, Mette ^a   Benita, Yair ^a   Thompson, John ^a   Cai, Tian Quan ^a  

^a MERCK RESEARCH LABORATORIES   (United States)

Author keywords

Blood pressure; Blood pressure high; Blood pressure low; Gene signature; Network analysis copyright 2010 by the american physiological society

Indexed keywords

ANTIHYPERTENSIVE AGENT; MESSENGER RNA; TRANSCRIPTION FACTOR; TRANSCRIPTOME;

ANIMAL EXPERIMENT; ANIMAL TISSUE; AORTA; ARTICLE; BAYES THEOREM; BINDING SITE; BLOOD PRESSURE; BLOOD PRESSURE REGULATION; CONTROLLED STUDY; GENE EXPRESSION; GENE REGULATORY NETWORK; GENE TARGETING; GENETIC TRANSCRIPTION; HEART; HEREDITARY HYPERTENSION; HYPOTENSION; KIDNEY; LIVER; MALE; MOUSE; MOUSE STRAIN; NONHUMAN; NUCLEOTIDE SEQUENCE; PHENOTYPE; PRIORITY JOURNAL; RNA ANALYSIS;

ANIMALS; AORTA; BLOOD PRESSURE; DISEASE MODELS, ANIMAL; GENE EXPRESSION PROFILING; HYPERTENSION; KIDNEY; LIVER; MALE; MICE; MICE, INBRED STRAINS; MODELS, BIOLOGICAL; MYOCARDIUM; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS;

MUS;

EID: 77957102466     PISSN: 10948341     EISSN: 15312267     Source Type: Journal    
DOI: 10.1152/physiolgenomics.00010.2010     Document Type: Article

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