E-GEOD-3307
Ontology highlight
ABSTRACT:
OTHER RELATED OMICS DATASETS IN: PRJNA92823
PROVIDER: E-GEOD-3307 | ExpressionAtlas | 2014-07-03
REPOSITORIES: ExpressionAtlas
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Project description:Skeletal muscle degenerates progressively, loses mass (sarcopenia) along in years, and leads to reduced physical ability, often causing secondary diseases such as diabetes and obesity. It is known that regulation of gene expression by microRNAs is a key event in muscle development and disease. To understand genome-wide changes in microRNAs and mRNAs during muscle aging, we sequenced microRNAs as well as mRNAs from mouse gastrocnemius muscles at two different ages (6 versus 24-month-old). Thirty-four microRNAs (15 up-regulated and 19 down-regulated) were differentially expressed with age among which were microRNAs such as miR-206 or -434 which were differentially expressed in aged muscle in previous studies. Interestingly, seven microRNAs in a microRNA cluster at imprinted Dlk1-Dio3 locus on chromosome 12 were coordinately down-regulated. In addition, sixteen novel microRNAs were identified. Integrative analysis of microRNA and mRNA expression revealed that microRNAs contribute to muscle aging possibly through the positive regulation of transcription, metabolic process, and kinase activity. Many of the age-related microRNAs were implicated in human muscular diseases. We suggest that genome-wide microRNA profiling helps to expand our knowledge of microRNA function in the muscle aging process. mRNA profiles of gastrocnemius muscle tissues (n=10) were generated by deep sequencing using Illumina Hiseq-2000
2014-08-08 | E-GEOD-55163 | biostudies-arrayexpress
Project description:Skeletal muscle degenerates progressively, loses mass (sarcopenia) along in years, and leads to reduced physical ability, often causing secondary diseases such as diabetes and obesity. It is known that regulation of gene expression by microRNAs is a key event in muscle development and disease. To understand genome-wide changes in microRNAs and mRNAs during muscle aging, we sequenced microRNAs as well as mRNAs from mouse gastrocnemius muscles at two different ages (6 versus 24-month-old). Thirty-four microRNAs (15 up-regulated and 19 down-regulated) were differentially expressed with age among which were microRNAs such as miR-206 or -434 which were differentially expressed in aged muscle in previous studies. Interestingly, seven microRNAs in a microRNA cluster at imprinted Dlk1-Dio3 locus on chromosome 12 were coordinately down-regulated. In addition, sixteen novel microRNAs were identified. Integrative analysis of microRNA and mRNA expression revealed that microRNAs contribute to muscle aging possibly through the positive regulation of transcription, metabolic process, and kinase activity. Many of the age-related microRNAs were implicated in human muscular diseases. We suggest that genome-wide microRNA profiling helps to expand our knowledge of microRNA function in the muscle aging process. miRNA profiles of gastrocnemius muscle tissues (n=10) were generated by deep sequencing using Illumina Hiseq-2000
2014-08-08 | E-GEOD-55164 | biostudies-arrayexpress
Project description:Skeletal muscle degenerates progressively, loses mass (sarcopenia) along in years, and leads to reduced physical ability, often causing secondary diseases such as diabetes and obesity. It is known that regulation of gene expression by microRNAs is a key event in muscle development and disease. To understand genome-wide changes in microRNAs and mRNAs during muscle aging, we sequenced microRNAs as well as mRNAs from mouse gastrocnemius muscles at two different ages (6 versus 24-month-old). Thirty-four microRNAs (15 up-regulated and 19 down-regulated) were differentially expressed with age among which were microRNAs such as miR-206 or -434 which were differentially expressed in aged muscle in previous studies. Interestingly, seven microRNAs in a microRNA cluster at imprinted Dlk1-Dio3 locus on chromosome 12 were coordinately down-regulated. In addition, sixteen novel microRNAs were identified. Integrative analysis of microRNA and mRNA expression revealed that microRNAs contribute to muscle aging possibly through the positive regulation of transcription, metabolic process, and kinase activity. Many of the age-related microRNAs were implicated in human muscular diseases. We suggest that genome-wide microRNA profiling helps to expand our knowledge of microRNA function in the muscle aging process.
2014-08-08 | GSE55164 | GEO
Project description:Skeletal muscle degenerates progressively, loses mass (sarcopenia) along in years, and leads to reduced physical ability, often causing secondary diseases such as diabetes and obesity. It is known that regulation of gene expression by microRNAs is a key event in muscle development and disease. To understand genome-wide changes in microRNAs and mRNAs during muscle aging, we sequenced microRNAs as well as mRNAs from mouse gastrocnemius muscles at two different ages (6 versus 24-month-old). Thirty-four microRNAs (15 up-regulated and 19 down-regulated) were differentially expressed with age among which were microRNAs such as miR-206 or -434 which were differentially expressed in aged muscle in previous studies. Interestingly, seven microRNAs in a microRNA cluster at imprinted Dlk1-Dio3 locus on chromosome 12 were coordinately down-regulated. In addition, sixteen novel microRNAs were identified. Integrative analysis of microRNA and mRNA expression revealed that microRNAs contribute to muscle aging possibly through the positive regulation of transcription, metabolic process, and kinase activity. Many of the age-related microRNAs were implicated in human muscular diseases. We suggest that genome-wide microRNA profiling helps to expand our knowledge of microRNA function in the muscle aging process.
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Project description:Obesity-related insulin resistance (OIR) is one of the main contributors to type 2 diabetes and other metabolic diseases. Protein kinases are implicated in key signaling steps including insulin signaling and glucose metabolism. Molecular mechanisms underlying OIR involving global active kinases remain less understood. Herein, we report findings from an in vivo active kinase profiling study in skeletal muscle from lean control (Lean) and OIR human participants, which identified the 1st active kinome comprised of 54 active protein kinases in human skeletal muscle. The activities of 23 kinases were different in OIR compared to Lean muscle (11 hyper- and 12 hypo-active), while their protein abundance was the same between the two groups. The activities of multiple kinases involved in AMPK and p38 signaling were lower in OIR compared to Lean. On the contrary, multiple kinases in JNK signaling pathway exhibited higher activity in OIR vs. Lean muscle. The kinase-substrate-prediction based on experimental data further confirmed a potential down-regulation of insulin signaling (e.g., inhibited phosphorylation of insulin receptor substrate-1 and AKT1/2). These findings provide a global view of the active kinome in OIR and Lean muscle, pinpoint novel specific impairment in kinase activities in multiple signaling pathways important for skeletal muscle insulin resistance, and provide potential drug targets (i.e., abnormal active kinase) to prevent and/or reverse skeletal muscle insulin resistance in humans.
2020-01-23 | PXD011909 | Pride
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Project description:T-cell clones were obtained by limiting dilution culture of PBMC of HTLV-1 carriers. Exon expression profiling was performed using Affymetrix exon array (Affymetrix Human Exon 1.0 ST Array) according to the manufacturer's instructions. Gene version of CEL files 01 to 12 are presented in GSE46518.
2015-11-01 | GSE52244 | GEO
Project description:Analysis of genes regulated by RU486 (an progesterone antagonist) in human breast cancer T47D cells and human uterine leiomyoma smooth muscle cells. The hypothesis is that RU486 inhibits tumor growth by inactivating the transcription of multiple genes which trigger critical signaling pathways to induce tumorigenesis in both breast caner and uterine leomyoma. Tissue-specific and common patterns of gene regulation may determine the therapeutic effects of antiprogestins in uterine leiomyoma and breast cancer. Keywords: Expression profiling by array
2012-09-11 | GSE40725 | GEO