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Identification of candidate genes and proteins in aging skeletal muscle (sarcopenia) using gene expression and structural analysis

Sarcopenia is an age-related disease characterized by the loss of muscle mass and muscle function. A proper understanding of its pathogenesis and mechanisms may lead to new strategies for diagnosis and treatment of the disease. This study aims to discover the underlying genes, proteins, and pathways...

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Autores principales: Shafiee, Gita, Asgari, Yazdan, Soltani, Akbar, Larijani, Bagher, Heshmat, Ramin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6129146/
https://www.ncbi.nlm.nih.gov/pubmed/30202641
http://dx.doi.org/10.7717/peerj.5239
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author Shafiee, Gita
Asgari, Yazdan
Soltani, Akbar
Larijani, Bagher
Heshmat, Ramin
author_facet Shafiee, Gita
Asgari, Yazdan
Soltani, Akbar
Larijani, Bagher
Heshmat, Ramin
author_sort Shafiee, Gita
collection PubMed
description Sarcopenia is an age-related disease characterized by the loss of muscle mass and muscle function. A proper understanding of its pathogenesis and mechanisms may lead to new strategies for diagnosis and treatment of the disease. This study aims to discover the underlying genes, proteins, and pathways associated with sarcopenia in both genders. Integrated analysis of microarray datasets has been performed to identify differentially expressed genes (DEGs) between old and young skeletal muscles. Gene Ontology (GO) enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis were then performed to uncover the functions of the DEGs. Moreover, a protein–protein interaction (PPI) network was constructed based on the DEGs. We have identified 41,715 DEGs, including 19 downregulated and 41,696 upregulated ones, in men. Among women, 3,015 DEGs have been found, with 2,874 of them being upregulated and 141 downregulated genes. Among the top up-regulated and downregulated genes, the ribosome biogenesis genes and genes involved in lipid storage may be closely related to aging muscles in men and women respectively. Also, the DEGs were enriched in the pathways including those of ribosome and Peroxisome proliferator-activated receptor (PPAR) in men and women, respectively. In the PPI network, Neurotrophic Receptor Tyrosine Kinase 1 (NTRK1), Cullin 3 (CUL3) and P53 have been identified as significant hub proteins in both genders. Using the integrated analysis of multiple gene expression profiles, we propose that the ribosome biogenesis genes and those involved in lipid storage would be promising markers for sarcopenia in men and women, respectively. In the reconstructed PPI network, neurotrophic factors expressed in skeletal muscle are essential for motoneuron survival and muscle fiber innervation during development. Cullin E3 ubiquitin ligase (Cul3) is an important component of the ubiquitin–proteasome system—it regulates the proteolysis. P53 is recognized as a central regulator of the cell cycle and apoptosis. These proteins, which have been identified as the most significant hubs, may be involved in aging muscle and sarcopenia.
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spelling pubmed-61291462018-09-10 Identification of candidate genes and proteins in aging skeletal muscle (sarcopenia) using gene expression and structural analysis Shafiee, Gita Asgari, Yazdan Soltani, Akbar Larijani, Bagher Heshmat, Ramin PeerJ Bioinformatics Sarcopenia is an age-related disease characterized by the loss of muscle mass and muscle function. A proper understanding of its pathogenesis and mechanisms may lead to new strategies for diagnosis and treatment of the disease. This study aims to discover the underlying genes, proteins, and pathways associated with sarcopenia in both genders. Integrated analysis of microarray datasets has been performed to identify differentially expressed genes (DEGs) between old and young skeletal muscles. Gene Ontology (GO) enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis were then performed to uncover the functions of the DEGs. Moreover, a protein–protein interaction (PPI) network was constructed based on the DEGs. We have identified 41,715 DEGs, including 19 downregulated and 41,696 upregulated ones, in men. Among women, 3,015 DEGs have been found, with 2,874 of them being upregulated and 141 downregulated genes. Among the top up-regulated and downregulated genes, the ribosome biogenesis genes and genes involved in lipid storage may be closely related to aging muscles in men and women respectively. Also, the DEGs were enriched in the pathways including those of ribosome and Peroxisome proliferator-activated receptor (PPAR) in men and women, respectively. In the PPI network, Neurotrophic Receptor Tyrosine Kinase 1 (NTRK1), Cullin 3 (CUL3) and P53 have been identified as significant hub proteins in both genders. Using the integrated analysis of multiple gene expression profiles, we propose that the ribosome biogenesis genes and those involved in lipid storage would be promising markers for sarcopenia in men and women, respectively. In the reconstructed PPI network, neurotrophic factors expressed in skeletal muscle are essential for motoneuron survival and muscle fiber innervation during development. Cullin E3 ubiquitin ligase (Cul3) is an important component of the ubiquitin–proteasome system—it regulates the proteolysis. P53 is recognized as a central regulator of the cell cycle and apoptosis. These proteins, which have been identified as the most significant hubs, may be involved in aging muscle and sarcopenia. PeerJ Inc. 2018-09-05 /pmc/articles/PMC6129146/ /pubmed/30202641 http://dx.doi.org/10.7717/peerj.5239 Text en ©2018 Shafiee et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Bioinformatics
Shafiee, Gita
Asgari, Yazdan
Soltani, Akbar
Larijani, Bagher
Heshmat, Ramin
Identification of candidate genes and proteins in aging skeletal muscle (sarcopenia) using gene expression and structural analysis
title Identification of candidate genes and proteins in aging skeletal muscle (sarcopenia) using gene expression and structural analysis
title_full Identification of candidate genes and proteins in aging skeletal muscle (sarcopenia) using gene expression and structural analysis
title_fullStr Identification of candidate genes and proteins in aging skeletal muscle (sarcopenia) using gene expression and structural analysis
title_full_unstemmed Identification of candidate genes and proteins in aging skeletal muscle (sarcopenia) using gene expression and structural analysis
title_short Identification of candidate genes and proteins in aging skeletal muscle (sarcopenia) using gene expression and structural analysis
title_sort identification of candidate genes and proteins in aging skeletal muscle (sarcopenia) using gene expression and structural analysis
topic Bioinformatics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6129146/
https://www.ncbi.nlm.nih.gov/pubmed/30202641
http://dx.doi.org/10.7717/peerj.5239
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