2012
DOI: 10.1186/1471-2164-13-193
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RNA-seq analysis of differential gene expression in liver from lactating dairy cows divergent in negative energy balance

Abstract: BackgroundThe liver is central to most economically important metabolic processes in cattle. However, the changes in expression of genes that drive these processes remain incompletely characterised. RNA-seq is the new gold standard for whole transcriptome analysis but so far there are no reports of its application to analysis of differential gene expression in cattle liver. We used RNA-seq to study differences in expression profiles of hepatic genes and their associated pathways in individual cattle in either … Show more

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Cited by 104 publications
(115 citation statements)
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“…Moreover, it is not sufficient to measure how much nutrients the animal uses to convert into energy to support growth, lactation and body maintenance. In the last 10 years, transcriptomics in dairy cattle has used gene expression microarrays to identify candidate genes for milk yield, protein yield, fertility and metabolic diseases, such as ketosis and milk fever [710]. However, only a few studies have focused on liver transcriptomic data of feed efficiency in dairy cattle, and none have focused on Nordic dairy cattle [911].…”
Section: Introductionmentioning
confidence: 99%
“…Moreover, it is not sufficient to measure how much nutrients the animal uses to convert into energy to support growth, lactation and body maintenance. In the last 10 years, transcriptomics in dairy cattle has used gene expression microarrays to identify candidate genes for milk yield, protein yield, fertility and metabolic diseases, such as ketosis and milk fever [710]. However, only a few studies have focused on liver transcriptomic data of feed efficiency in dairy cattle, and none have focused on Nordic dairy cattle [911].…”
Section: Introductionmentioning
confidence: 99%
“…The development of high-throughput sequencing technologies opened new opportunities to generate global gene expression profiles of most production animals (Jung et al 2012;McCabe et al 2012;Geng et al 2013). However, although the skeletal muscle transcription profiles of several production and laboratory animals, including cattle, sheep and pigs, have been described (Sadkowski et al 2006;Byrne et al 2010;Te Pas et al 2010), a global transcriptome analysis of goat skeletal muscle tissue using high-throughput sequencing has not been available thus far, mostly owing to the fact that a whole-genome sequence for goat became available only recently (Dong et al 2013).…”
Section: Introductionmentioning
confidence: 99%
“…Data from our own group show that both sire breed and genetic merit for carcass weight affect the expression of genes regulating the somatotropic axis in muscle of cattle (Keady et al, 2011), with greater gene expression of IGF-1 and reduced transcript abundance of IGFBP3 in muscle potentially having a role in increased muscle growth. Whereas transcriptomic studies have been fundamental in the establishment of the molecular mechanisms regulating important traits in cattle (McCabe et al, 2012;Zhao et al, 2012), mRNA expression does not always refl ect corresponding proteomic abundance (Rogers et al, 2008). Consequently, proteomic studies examining large numbers of proteins simultaneously, including their posttranslational modifi cations (Rogers et al, 2008), offer a snapshot of the functional molecules of the cells under investigation.…”
Section: Introductionmentioning
confidence: 99%