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Gene co-expression network analysis of myostatin regulation at three different mouse developmental timepoints

ABSTRACT: Myostatin (Mstn) knockout mice exhibit large increases in skeletal muscle mass. However, relatively few of the genes that mediate or modify MSTN effects are known. In this study, we performed co-expression network analysis using whole transcriptome microarray data from Mstn-null and wild-type mice to identify genes involved in important biological processes and pathways related to skeletal muscle and adipose development.Genes differentially expressed between wild-type and Mstn-null mice were identified at 13.5 d.p.c. and 35 days after birth (d35) and further analyzed for shared DNA motifs using DREME. Known and novel transcription factor binding sites involved in MSTN signal transduction were enriched in differentially expressed genes. The use of regulatory impact factor (RIF), phenotypic impact factor (PIF), and differential hubbing analyses with the partical correlation and information theory (PCIT) co-expression analysis methods identified both known and potentially novel regulators of muscle development. These results provide new details of how MSTN may mediate transcriptional regulation as well as insight into novel regulators of MSTN signal transduction that merit further study regarding their physiological roles in muscle and adipose development.

ORGANISM(S): Mus musculus

PROVIDER: GSE63154 | GEO | 2014/11/11

SECONDARY ACCESSION(S): PRJNA266824

REPOSITORIES: GEO

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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.

Project description:The underlying mechanism of how the atopic lipids in skeletal muscle affect muscle growth remains elusive. Here we chose miniature Bama swine as our model to mimick human obesity and co-associated metabolic disorders by long time diet induction and study how the atopic fat accumulation in skeletal muscle influence muscle function. After 23 months high-fat high-sucrose diet (HFHSD) fed, the model minipig model of obesity accompanied with metabolic disorders like human, and they had increased body weight and extensive lipids deposition in adipose tissues (AT) and non-AT, especially in skeletal muscle. Further more, the mass of skeletal reduced greatly and the small area (0-2000μm2) muscle reduced after diet induced. The average fiber area of Gastroc reduced 25.2%, but no significant changes appeared in the other skeletal muscles. Antioxidant capacity of skeletal muscle also reduced. Microarray profiles showed genes related to fat deposition promotion (Peroxisome proliferator activated receptor γ, CCAAT/enhancer-binding protein α and apolipoprotein E), muscle growth inhibition (myostatin and p21) up regulated, and some other muscle cell differentiation related genes (myoD) down regulated. Meanwhile, adipokines like adiponectin and 11b-hydroxysteroid dehydrogenase type 1 (11βHSD1) which partake in the crosstalk between AT and skeletal muscles rose up. We draw a clear potential crosstalk pathway that, increased 11βHSD1 secreted by excess AT will promote the expression of the major inhibitor MSTN by activating corticosterone to cortisol, leading to the growth inhibition of skeletal muscle. Overall, this research announces how obesity affects skeletal muscle growth in a crosstalk sight. Male and female Bama minipigs, aged 6 months at the start of the study, were divided into the following two groups for 23 months of treatment. Bama minipigon control (CD group, N=3) were fed standard pig chow. The experimental group (N=6) were fed high-fat high-sucrose diet (53% basal diet, 37% sucrose, 10% lard, HFHSD).

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Gene co-expression network analysis of myostatin regulation at three different mouse developmental timepoints

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