Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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The effect of age on alternative splicing in different tissues of wild-type mice

ABSTRACT: Exon level expression analysis for the physiological aging study data set to analyze the effect of age on alternative splicing in different tissues and age groups of wild-type mice Analysis of the effect of age on alternative splicing (AS) using exon microarrays to interrogate the differential exon usage of the entire genome of aging wild-type male C57BL/6J mice (4- and 18-month-old) in five tissues (skin, skeletal muscle, bone, thymus, and white adipose tissue) and in an additional 28-month-old age group, which allowed for age-related AS analysis of the skin, skeletal muscle and bone tissues. We found AS genes with age in all tissue, we show that the number of AS genes increased with age and that AS genes across all tissues are involved in RNA processing. Note: This dataset is one of the 2 datasets in the overall study. An additional data set series is available with exon expression analysis of HGPS mice to analyze the effect of progerin expression on alternative splicing. The two datasets are linked together in the SuperSeries GSE67289. A link to the SuperSeries is available at the bottom of this page. 65 tissue samples from wild-type male C57BL/6J mice; from 5 different tissues (ventral skin, skeletal muscle, bone, muscle, and white adipose tissue) and from 3 different age groups: 4, 18 and 28 months (for skin skeletal muscle and bone ) and from 2 different age groups: 4 and 18 months (for ventral skin, skeletal muscle, bone, thymus and white adipose tissue)

ORGANISM(S): Mus musculus

SUBMITTER: Maria Eriksson

PROVIDER: E-GEOD-67287 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Project description:The Finland-United States Investigation of NIDDM Genetics (FUSION) study is a long-term effort to identify genetic variants that predispose to type 2 diabetes (T2D) or that impact the variability of T2D-related quantitative traits (QTs). Skeletal muscle and adipose are major insulin target tissues and play key roles in insulin resistance. We hypothesize that a subset of T2D and related QT variants alter gene expression in skeletal muscle and adipose tissue. For this FUSION Tissue Biopsy Study, we have obtained and are analyzing RNA-Seq, microRNA (miRNA)-Seq, and DNA methylation (methyl)-Seq data on biopsy samples from 331 individuals from across the range of glucose tolerance: 124 normal glucose tolerance (NGT), 77 impaired glucose tolerance (IGT), 44 impaired fasting glucose (IFG), and 86 newly-diagnosed T2Ds. Participants completed two study visits, two weeks apart. First visits comprised most of the clinical phenotyping, including four-point OGTT (fasting, and 30, 60, and 120 minute post-load); BMI, WHR; lipids; blood pressure; and many other variables. Participants also completed FUSION health history, medication, and lifestyle questionnaires. At second visit, we obtained ~250mg vastus lateralis skeletal muscle, ~750mg abdominal subcutaneous adipose, and a ~5x15mm section of abdominal skin. Visits were completed in March 2013. RNA isolation is ongoing in the Collins laboratory at the NIH, RNA and miRNA sequencing at the NIH Intramural Sequencing Center (NISC), and genotyping at the Center for Inherited Disease Research (CIDR). Individual-level data is available here for the 306 individuals who consented to data deposit. To focus on evaluation of gene expression and its regulation in skeletal muscle, we analyzed mRNA extracted from vastus lateralis skeletal muscle obtained from 271 of the 331 individual subjects from Finland, along with genome-wide genotypes. Individual-level data is available here for the 250 subjects who reconsented to the use of their data. Release phs001048.v2.p1 adds muscle data for an additional 42 subjects and data from adipose tissue for 276 subjects. Total RNA was isolated using Trizol extraction in the Collins laboratory at the NIH. The mRNA was poly-A selected, 24-plex libraries were generated using the Illumina TruSeq directional mRNA-seq library protocol and RNA sequencing was performed on HiSeq2000 sequencers using 101bp paired-end reads at NISC. miRNA libraries were prepared from total RNA from 296 muscle and 270 adipose samples, pooled and sequenced 50bp single-end reads on Illumina HiSeq2500. Data for 272 muscle and 251 adipose samples are available here for individuals with consent for data deposit. DNA was extracted from blood in the Collins laboratory, and genotyping on the Illumina Omni2.5M array was performed at CIDR. Genotypes were imputed using the HRC 2016 reference panel. In order to assess regions of open chromatin in skeletal muscle, we obtained muscle tissue from a commercial provider to perform ATAC-seq; these samples were sequenced at the University of Michigan DNA Sequencing Core. Greater than 90% of the approximately 80 loci associated with T2D and the 100s of loci associated with T2D-related traits (glucose and insulin, anthropometrics, lipids) through genome-wide association studies occur in non-coding regions, suggesting a strong regulatory component to disease susceptibility. Regulatory element activity is often tissue-specific, which further complicates discovery of the causal/functional variation. Therefore, there is a critical need to understand the full spectrum of genetic variation and regulatory element usage in T2D-relevant tissues. To that end, this study contains whole genome sequence and whole genome bisulfite sequence, and/or Illumina MethylationEPIC Array data, of two tissues relevant to T2D: skeletal muscle and adipose tissue from individuals with glucose tolerance categories ranging from normal to T2D, providing a comprehensive survey of both individual genetic variation as well as DNA methylation across different tissues from multiple individuals.

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The effect of age on alternative splicing in different tissues of wild-type mice

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