Liver transcriptomic networks reveal main biological processes associated with feed efficiency in beef cattle

BMC Genomics

Volumn 16, Issue 1, 2015, Pages

  Alexandre, Pamela A ^a,b   Kogelman, Lisette J A ^b   Santana, Miguel H A ^a   Passarelli, Danielle ^a   Pulz, Lidia H ^a   Fantinato Neto, Paulo ^a   Silva, Paulo L ^a   Leme, Paulo R ^a   Strefezzi, Ricardo F ^a   Coutinho, Luiz L ^a   Ferraz, José B S ^a   Eler, Joanie P ^a   Kadarmideen, Haja N ^b   Fukumasu, Heidge ^a  

^a UNIVERSITY OF SÃO PAULO   (Brazil)

^b UNIVERSITY OF COPENHAGEN   (Denmark)

Author keywords

Co expression network; Inflammation; Lipid metabolism; Residual feed intake; Residual intake and body weight gain; RNA Seq

Indexed keywords

CHOLESTEROL; TRANSCRIPTOME;

ANIMAL EXPERIMENT; ANIMAL FOOD; ANIMAL MODEL; ANIMAL TISSUE; ARTICLE; BEEF CATTLE; CHOLESTEROL BLOOD LEVEL; FEED EFFICIENCY; FOOD INTAKE; GENE EXPRESSION; GENE EXPRESSION REGULATION; HEPATITIS; HISTOPATHOLOGY; IMMUNE RESPONSE; INFLAMMATION; INTRAABDOMINAL FAT; LIPID METABOLISM; LIPID STORAGE; LIVER; MONONUCLEAR CELL; NONHUMAN; NUTRITIONAL PARAMETERS; SUBCUTANEOUS FAT; TRANSCRIPTOMICS; ANIMAL; BIOLOGY; BOVINE; GENE EXPRESSION PROFILING; GENE REGULATORY NETWORK; GENETIC ASSOCIATION STUDY; HIGH THROUGHPUT SEQUENCING; METABOLISM; PROCEDURES; QUANTITATIVE TRAIT;

ANIMALS; CATTLE; COMPUTATIONAL BIOLOGY; GENE EXPRESSION PROFILING; GENE REGULATORY NETWORKS; GENETIC ASSOCIATION STUDIES; HIGH-THROUGHPUT NUCLEOTIDE SEQUENCING; LIVER; QUANTITATIVE TRAIT, HERITABLE; TRANSCRIPTOME;

EID: 84949793648     PISSN: None     EISSN: 14712164     Source Type: Journal    
DOI: 10.1186/s12864-015-2292-8     Document Type: Article

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