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Mus musculus

ABSTRACT: Next Generation Sequencing of Wild-Type C57BL/6J Mouse Cardiac Small RNA

PROVIDER: PRJNA241006 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR1187100.fastq.gz	Fastqsanger.gz
	SRR1187095.fastq.gz	Fastqsanger.gz
	SRR1187096.fastq.gz	Fastqsanger.gz
	SRR1187097.fastq.gz	Fastqsanger.gz
	SRR1187098.fastq.gz	Fastqsanger.gz

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Next Generation Sequencing of Wild-Type C57BL/6J Mouse Cardiac Small RNA

Project description:Purpose: Next-generation sequencing (NGS) provides for quantitation of RNA abundances and comparison of RNA abundances within tissues and cells in a manner not possible with previous microarray technologies. We have made widespread use of Illumina sequencing technologies for RNA quantitation in several publications involving mouse hearts, dating from 2010, and wish to share both high-quality raw sequencing data and data processed to quantitate mRNA abundances from wild-type mice, male and female, at a variety of ages. These data will provide a resource for investigators using microarrays to understand the concentration of transcripts of interest relative to other cardiac RNAs, and will permit deeper interpretation of previous microarray studies. 6 cardiac small RNA (microRNA) profiles of 18 week-old C57BL/6J wild type (WT) mice were generated on Illumina HiSeq 2000 instruments.

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Project description:It was recently demonstrated in mice that knockout of the flavin-containing monooxygenase 5 gene, Fmo5, slows metabolic ageing via pleiotropic effects. We have now used an NMR-based metabonomics approach to study the effects of ageing directly on the metabolic profiles of urine and plasma from male, wild-type C57BL/6J and Fmo5−/− (FMO5 KO) mice back-crossed onto the C57BL/6J background. The aim of this study was to identify metabolic signatures that are associated with ageing in both these mouse lines and to characterize the age-related differences in the metabolite profiles between the FMO5 KO mice and their wild-type counterparts at equivalent time points. We identified a range of age-related biomarkers in both urine and plasma. Some metabolites, including urinary 6-hydroxy-6-methylheptan-3-one (6H6MH3O), a mouse sex pheromone, showed similar patterns of changes with age, regardless of genetic background. Others, however, were altered only in the FMO5 KO, or only in the wild-type mice, indicating the impact of genetic modifications on mouse ageing. Elevated concentrations of urinary taurine represent a distinctive, ageing-related change observed only in wild-type mice.

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