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Fu J, Liu J, Zou X, Deng M, Liu G, Sun B, Guo Y, Liu D, Li Y. Transcriptome analysis of mRNA and miRNA in the development of LeiZhou goat muscles. Sci Rep 2024; 14:9858. [PMID: 38684760 PMCID: PMC11058254 DOI: 10.1038/s41598-024-60521-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2024] [Accepted: 04/24/2024] [Indexed: 05/02/2024] Open
Abstract
The progression of muscle development is a pivotal aspect of animal ontogenesis, where miRNA and mRNA exert substantial influence as prominent players. It is important to understand the molecular mechanisms involved in skeletal muscle development to enhance the quality and yield of meat produced by Leizhou goats. We employed RNA sequencing (RNA-SEQ) technology to generate miRNA-mRNA profiles in Leizhou goats, capturing their developmental progression at 0, 3, and 6 months of age. A total of 977 mRNAs and 174 miRNAs were found to be differentially expressed based on our analysis. Metabolic pathways, calcium signaling pathways, and amino acid synthesis and metabolism were found to be significantly enriched among the differentially expressed mRNA in the enrichment analysis. Meanwhile, we found that among these differentially expressed mRNA, some may be related to muscle development, such as MYL10, RYR3, and CSRP3. Additionally,, we identified five muscle-specific miRNAs (miR-127-3p, miR-133a-3p, miR-193b-3p, miR-365-3p, and miR-381) that consistently exhibited high expression levels across all three stages. These miRNAs work with their target genes (FHL3, SESN1, PACSIN3, LMCD1) to regulate muscle development. Taken together, our findings suggest that several miRNAs and mRNAs are involved in regulating muscle development and cell growth in goats. By uncovering the molecular mechanisms involved in muscle growth and development, these findings contribute valuable knowledge that can inform breeding strategies aimed at enhancing meat yield and quality in Leizhou goats.
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Affiliation(s)
- Junjie Fu
- College of Animal Science, South China Agricultural University, Guangzhou, 510642, China
- National Local Joint Engineering Research Center of Livestock and Poultry, South China Agricultural University, Guangzhou, 510642, China
| | - Jie Liu
- College of Animal Science, South China Agricultural University, Guangzhou, 510642, China
- State Key Laboratory of Livestock and Poultry Breeding, Guangdong Key Laboratory of Animal Breeding and Nutrition, Institute of Animal Science, Guangdong Academy of Agricultural Sciences, Guangzhou, 510640, China
- National Local Joint Engineering Research Center of Livestock and Poultry, South China Agricultural University, Guangzhou, 510642, China
| | - Xian Zou
- State Key Laboratory of Livestock and Poultry Breeding, Guangdong Key Laboratory of Animal Breeding and Nutrition, Institute of Animal Science, Guangdong Academy of Agricultural Sciences, Guangzhou, 510640, China
| | - Ming Deng
- College of Animal Science, South China Agricultural University, Guangzhou, 510642, China
- National Local Joint Engineering Research Center of Livestock and Poultry, South China Agricultural University, Guangzhou, 510642, China
| | - Guangbin Liu
- College of Animal Science, South China Agricultural University, Guangzhou, 510642, China
- National Local Joint Engineering Research Center of Livestock and Poultry, South China Agricultural University, Guangzhou, 510642, China
| | - Baoli Sun
- College of Animal Science, South China Agricultural University, Guangzhou, 510642, China
- National Local Joint Engineering Research Center of Livestock and Poultry, South China Agricultural University, Guangzhou, 510642, China
| | - Yongqing Guo
- College of Animal Science, South China Agricultural University, Guangzhou, 510642, China
- National Local Joint Engineering Research Center of Livestock and Poultry, South China Agricultural University, Guangzhou, 510642, China
| | - Dewu Liu
- College of Animal Science, South China Agricultural University, Guangzhou, 510642, China
- National Local Joint Engineering Research Center of Livestock and Poultry, South China Agricultural University, Guangzhou, 510642, China
| | - Yaokun Li
- College of Animal Science, South China Agricultural University, Guangzhou, 510642, China.
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Qi T, Zhang J, Zhang K, Zhang W, Song Y, Lian K, Kan C, Han F, Hou N, Sun X. Unraveling the role of the FHL family in cardiac diseases: Mechanisms, implications, and future directions. Biochem Biophys Res Commun 2024; 694:149468. [PMID: 38183876 DOI: 10.1016/j.bbrc.2024.149468] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Revised: 12/23/2023] [Accepted: 01/02/2024] [Indexed: 01/08/2024]
Abstract
Heart diseases are a major cause of morbidity and mortality worldwide. Understanding the molecular mechanisms underlying these diseases is essential for the development of effective diagnostic and therapeutic strategies. The FHL family consists of five members: FHL1, FHL2, FHL3, FHL4, and FHL5/Act. These members exhibit different expression patterns in various tissues including the heart. FHL family proteins are implicated in cardiac remodeling, regulation of metabolic enzymes, and cardiac biomechanical stress perception. A large number of studies have explored the link between FHL family proteins and cardiac disease, skeletal muscle disease, and ovarian metabolism, but a comprehensive and in-depth understanding of the specific molecular mechanisms targeting FHL on cardiac disease is lacking. The aim of this review is to explore the structure and function of FHL family members, to comprehensively elucidate the mechanisms by which they regulate the heart, and to explore in depth the changes in FHL family members observed in different cardiac disorders, as well as the effects of mutations in FHL proteins on heart health.
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Affiliation(s)
- Tongbing Qi
- Department of Endocrinology and Metabolism, Affiliated Hospital of Weifang Medical University, Weifang, 261031, China; Clinical Research Center, Affiliated Hospital of Weifang Medical University, Weifang, 261031, China
| | - Jingwen Zhang
- Department of Endocrinology and Metabolism, Affiliated Hospital of Weifang Medical University, Weifang, 261031, China; Clinical Research Center, Affiliated Hospital of Weifang Medical University, Weifang, 261031, China
| | - Kexin Zhang
- Department of Endocrinology and Metabolism, Affiliated Hospital of Weifang Medical University, Weifang, 261031, China; Clinical Research Center, Affiliated Hospital of Weifang Medical University, Weifang, 261031, China
| | - Wenqiang Zhang
- Department of Endocrinology and Metabolism, Affiliated Hospital of Weifang Medical University, Weifang, 261031, China; Clinical Research Center, Affiliated Hospital of Weifang Medical University, Weifang, 261031, China; Department of Pathology, Affiliated Hospital of Weifang Medical University, Weifang, 261031, China
| | - Yixin Song
- Department of Endocrinology and Metabolism, Affiliated Hospital of Weifang Medical University, Weifang, 261031, China; Clinical Research Center, Affiliated Hospital of Weifang Medical University, Weifang, 261031, China
| | - Kexin Lian
- Department of Nephrology, Affiliated Hospital of Weifang Medical University, Weifang, 261031, China
| | - Chengxia Kan
- Department of Endocrinology and Metabolism, Affiliated Hospital of Weifang Medical University, Weifang, 261031, China; Clinical Research Center, Affiliated Hospital of Weifang Medical University, Weifang, 261031, China
| | - Fang Han
- Department of Endocrinology and Metabolism, Affiliated Hospital of Weifang Medical University, Weifang, 261031, China; Clinical Research Center, Affiliated Hospital of Weifang Medical University, Weifang, 261031, China; Department of Pathology, Affiliated Hospital of Weifang Medical University, Weifang, 261031, China
| | - Ningning Hou
- Department of Endocrinology and Metabolism, Affiliated Hospital of Weifang Medical University, Weifang, 261031, China.
| | - Xiaodong Sun
- Department of Endocrinology and Metabolism, Affiliated Hospital of Weifang Medical University, Weifang, 261031, China; Clinical Research Center, Affiliated Hospital of Weifang Medical University, Weifang, 261031, China.
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3
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Bai W, Zhang Y, Ma J, Du M, Xu H, Wang J, Zhang L, Li W, Hou Y, Liu X, Zhang X, Peng Y, Li J, Zhan X, Jiang W, Liu S, Liu X, Li Q, Miao Y, Sui M, Yang Y, Zhang S, Xu Z, Zuo B. FHL3 promotes the formation of fast glycolytic muscle fibers by interacting with YY1 and muscle glycolytic metabolism. Cell Mol Life Sci 2023; 80:27. [PMID: 36602641 PMCID: PMC11073127 DOI: 10.1007/s00018-022-04680-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2022] [Revised: 12/17/2022] [Accepted: 12/19/2022] [Indexed: 01/06/2023]
Abstract
The proportions of the various muscle fiber types are important in the regulation of skeletal muscle metabolism, as well as animal meat production. Four-and-a-half LIM domain protein 3 (FHL3) is highly expressed in fast glycolytic muscle fibers and differentially regulates the expression of myosin heavy chain (MyHC) isoforms at the cellular level. Whether FHL3 regulates the transformation of muscle fiber types in vivo and the regulatory mechanism is unclear. In this study, muscle-specific FHL3 transgenic mice were generated by random integration, and lentivirus-mediated gene knockdown or overexpression in muscles of mice or pigs was conducted. Functional analysis showed that overexpression of FHL3 in muscles significantly increased the proportion of fast-twitch myofibers and muscle mass but decreased muscle succinate dehydrogenase (SDH) activity and whole-body oxygen consumption. Lentivirus-mediated FHL3 knockdown in muscles significantly decreased muscle mass and the proportion of fast-twitch myofibers. Mechanistically, FHL3 directly interacted with the Yin yang 1 (YY1) DNA-binding domain, repressed the binding of YY1 to the fast glycolytic MyHC2b gene regulatory region, and thereby promoted MyHC2b expression. FHL3 also competed with EZH2 to bind the repression domain of YY1 and reduced H3K27me3 enrichment in the MyHC2b regulatory region. Moreover, FHL3 overexpression reduced glucose tolerance by affecting muscle glycolytic metabolism, and its mRNA expression in muscle was positively associated with hemoglobin A1c (HbA1c) in patients with type 2 diabetes. Therefore, FHL3 is a novel potential target gene for the treatment of muscle metabolism-related diseases and improvement of animal meat production.
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Affiliation(s)
- Wei Bai
- Key Laboratory of Swine Genetics and Breeding of the Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, China
- Key Laboratory of Agriculture Animal Genetics, Breeding and Reproduction of the Ministry of Education, Huazhong Agricultural University, Wuhan, China
- Hubei Hongshan Laboratory, Wuhan, China
| | - Yunxia Zhang
- Institute of Neuroscience and Translational Medicine, College of Life Science and Agronomy, Zhoukou Normal University, Zhoukou, China
| | - Jun Ma
- Key Laboratory of Swine Genetics and Breeding of the Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, China
- Key Laboratory of Agriculture Animal Genetics, Breeding and Reproduction of the Ministry of Education, Huazhong Agricultural University, Wuhan, China
- Hubei Hongshan Laboratory, Wuhan, China
| | - Mengmeng Du
- Key Laboratory of Swine Genetics and Breeding of the Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, China
- Key Laboratory of Agriculture Animal Genetics, Breeding and Reproduction of the Ministry of Education, Huazhong Agricultural University, Wuhan, China
| | - Haiyang Xu
- Key Laboratory of Swine Genetics and Breeding of the Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, China
- Key Laboratory of Agriculture Animal Genetics, Breeding and Reproduction of the Ministry of Education, Huazhong Agricultural University, Wuhan, China
| | - Jian Wang
- Key Laboratory of Swine Genetics and Breeding of the Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, China
- Key Laboratory of Agriculture Animal Genetics, Breeding and Reproduction of the Ministry of Education, Huazhong Agricultural University, Wuhan, China
| | - Lu Zhang
- Key Laboratory of Swine Genetics and Breeding of the Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, China
- Key Laboratory of Agriculture Animal Genetics, Breeding and Reproduction of the Ministry of Education, Huazhong Agricultural University, Wuhan, China
| | - Wentao Li
- Key Laboratory of Swine Genetics and Breeding of the Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, China
- Key Laboratory of Agriculture Animal Genetics, Breeding and Reproduction of the Ministry of Education, Huazhong Agricultural University, Wuhan, China
| | - Yunqing Hou
- Key Laboratory of Swine Genetics and Breeding of the Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, China
- Key Laboratory of Agriculture Animal Genetics, Breeding and Reproduction of the Ministry of Education, Huazhong Agricultural University, Wuhan, China
| | - Xiaomeng Liu
- Institute of Neuroscience and Translational Medicine, College of Life Science and Agronomy, Zhoukou Normal University, Zhoukou, China
- Department of Nutrition and Food Hygiene, College of Public Health, Xinxiang Medical University, Xinxiang, 453003, Henan, China
| | - Xinyue Zhang
- Institute of Neuroscience and Translational Medicine, College of Life Science and Agronomy, Zhoukou Normal University, Zhoukou, China
| | - Yaxin Peng
- Key Laboratory of Swine Genetics and Breeding of the Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, China
- Key Laboratory of Agriculture Animal Genetics, Breeding and Reproduction of the Ministry of Education, Huazhong Agricultural University, Wuhan, China
| | - Jianan Li
- Key Laboratory of Swine Genetics and Breeding of the Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, China
- Key Laboratory of Agriculture Animal Genetics, Breeding and Reproduction of the Ministry of Education, Huazhong Agricultural University, Wuhan, China
| | - Xizhen Zhan
- Key Laboratory of Swine Genetics and Breeding of the Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, China
- Key Laboratory of Agriculture Animal Genetics, Breeding and Reproduction of the Ministry of Education, Huazhong Agricultural University, Wuhan, China
| | - Wei Jiang
- Key Laboratory of Swine Genetics and Breeding of the Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, China
- Key Laboratory of Agriculture Animal Genetics, Breeding and Reproduction of the Ministry of Education, Huazhong Agricultural University, Wuhan, China
| | - Shengsi Liu
- Key Laboratory of Swine Genetics and Breeding of the Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, China
- Key Laboratory of Agriculture Animal Genetics, Breeding and Reproduction of the Ministry of Education, Huazhong Agricultural University, Wuhan, China
| | - Xiao Liu
- Key Laboratory of Swine Genetics and Breeding of the Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, China
- Key Laboratory of Agriculture Animal Genetics, Breeding and Reproduction of the Ministry of Education, Huazhong Agricultural University, Wuhan, China
| | - Qinying Li
- Key Laboratory of Swine Genetics and Breeding of the Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, China
- Key Laboratory of Agriculture Animal Genetics, Breeding and Reproduction of the Ministry of Education, Huazhong Agricultural University, Wuhan, China
| | - Yang Miao
- Key Laboratory of Swine Genetics and Breeding of the Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, China
- Key Laboratory of Agriculture Animal Genetics, Breeding and Reproduction of the Ministry of Education, Huazhong Agricultural University, Wuhan, China
| | - Mengru Sui
- Institute of Neuroscience and Translational Medicine, College of Life Science and Agronomy, Zhoukou Normal University, Zhoukou, China
| | - Yuhan Yang
- Institute of Neuroscience and Translational Medicine, College of Life Science and Agronomy, Zhoukou Normal University, Zhoukou, China
| | - Shenghao Zhang
- Key Laboratory of Swine Genetics and Breeding of the Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, China
| | - Zaiyan Xu
- Key Laboratory of Swine Genetics and Breeding of the Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, China.
- Department of Basic Veterinary Medicine, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China.
| | - Bo Zuo
- Key Laboratory of Swine Genetics and Breeding of the Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, China.
- Key Laboratory of Agriculture Animal Genetics, Breeding and Reproduction of the Ministry of Education, Huazhong Agricultural University, Wuhan, China.
- Hubei Hongshan Laboratory, Wuhan, China.
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Aoussim A, Légaré C, Roussel MP, Madore AM, Morissette MC, Laprise C, Duchesne E. Towards the Identification of Biomarkers for Muscle Function Improvement in Myotonic Dystrophy Type 1. J Neuromuscul Dis 2023; 10:1041-1053. [PMID: 37694373 PMCID: PMC10657677 DOI: 10.3233/jnd-221645] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/15/2023] [Indexed: 09/12/2023]
Abstract
BACKGROUND Myotonic dystrophy type 1 (DM1) is the most common muscular dystrophy in adults. In DM1 patients, skeletal muscle is severely impaired, even atrophied and patients experience a progressive decrease in maximum strength. Strength training for these individuals can improve their muscle function and mass, however, the biological processes involved in these improvements remain unknown. OBJECTIVE This exploratory study aims at identifying the proteomic biomarkers and variables associated with the muscle proteome changes induced by training in DM1 individuals. METHODS An ion library was developed from liquid chromatography-tandem mass spectrometry proteomic analyses of Vastus Lateralis muscle biopsies collected in 11 individuals with DM1 pre-and post-training. RESULTS The proteomic analysis showed that the levels of 44 proteins were significantly modulated. A literature review (PubMed, UniProt, PANTHER, REACTOME) classified these proteins into biological sub-classes linked to training-induced response, including immunity, energy metabolism, apoptosis, insulin signaling, myogenesis and muscle contraction. Linear models identified key variables explaining the proteome modulation, including atrophy and hypertrophy factors. Finally, six proteins of interest involved in myogenesis, muscle contraction and insulin signaling were identified: calpain-3 (CAN3; Muscle development, positive regulation of satellite cell activation), 14-3-3 protein epsilon (1433E; Insulin/Insulin-like growth factor, PI3K/Akt signaling), myosin-binding protein H (MYBPH; Regulation of striated muscle contraction), four and a half LIM domains protein 3 (FHL3; Muscle organ development), filamin-C (FLNC; Muscle fiber development) and Cysteine and glycine-rich protein 3 (CSRP3). CONCLUSION These findings may lead to the identification for DM1 individuals of novel muscle biomarkers for clinical improvement induced by rehabilitation, which could eventually be used in combination with a targeted pharmaceutical approach to improving muscle function, but further studies are needed to confirm those results.
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Affiliation(s)
- Amira Aoussim
- Département des sciences de la santé, Université du Québec à Chicoutimi, Québec, Canada
- Groupe de recherche interdisciplinaire sur les maladies neuromusculaires (GRIMN), Centre intégré universitaire de santé et de services sociaux du Saguenay– Lac-Saint-Jean, Hôpital de Jonquière, Québec, Canada
- Centre intersectoriel en santé durable (CISD), Université du Québec à Chicoutimi, Québec, Canada
| | - Cécilia Légaré
- Département des sciences de la santé, Université du Québec à Chicoutimi, Québec, Canada
- Groupe de recherche interdisciplinaire sur les maladies neuromusculaires (GRIMN), Centre intégré universitaire de santé et de services sociaux du Saguenay– Lac-Saint-Jean, Hôpital de Jonquière, Québec, Canada
- Centre intersectoriel en santé durable (CISD), Université du Québec à Chicoutimi, Québec, Canada
- RNA Institute, College of Arts and Sciences, University at Albany-SUNY, Albany, USA
| | - Marie-Pier Roussel
- Groupe de recherche interdisciplinaire sur les maladies neuromusculaires (GRIMN), Centre intégré universitaire de santé et de services sociaux du Saguenay– Lac-Saint-Jean, Hôpital de Jonquière, Québec, Canada
- Centre intersectoriel en santé durable (CISD), Université du Québec à Chicoutimi, Québec, Canada
- Département des sciences fondamentales, Université du Québec à Chicoutimi, Québec, Canada
| | - Anne-Marie Madore
- Centre intersectoriel en santé durable (CISD), Université du Québec à Chicoutimi, Québec, Canada
- Département des sciences fondamentales, Université du Québec à Chicoutimi, Québec, Canada
| | - Mathieu C. Morissette
- Department of Medicine, Université Laval, Québec, Canada
- Quebec Heart and Lung Institute – Université Laval, Québec, Canada
| | - Catherine Laprise
- Centre intersectoriel en santé durable (CISD), Université du Québec à Chicoutimi, Québec, Canada
- Département des sciences fondamentales, Université du Québec à Chicoutimi, Québec, Canada
| | - Elise Duchesne
- Département des sciences de la santé, Université du Québec à Chicoutimi, Québec, Canada
- Groupe de recherche interdisciplinaire sur les maladies neuromusculaires (GRIMN), Centre intégré universitaire de santé et de services sociaux du Saguenay– Lac-Saint-Jean, Hôpital de Jonquière, Québec, Canada
- Centre intersectoriel en santé durable (CISD), Université du Québec à Chicoutimi, Québec, Canada
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Blazev R, Carl CS, Ng YK, Molendijk J, Voldstedlund CT, Zhao Y, Xiao D, Kueh AJ, Miotto PM, Haynes VR, Hardee JP, Chung JD, McNamara JW, Qian H, Gregorevic P, Oakhill JS, Herold MJ, Jensen TE, Lisowski L, Lynch GS, Dodd GT, Watt MJ, Yang P, Kiens B, Richter EA, Parker BL. Phosphoproteomics of three exercise modalities identifies canonical signaling and C18ORF25 as an AMPK substrate regulating skeletal muscle function. Cell Metab 2022; 34:1561-1577.e9. [PMID: 35882232 DOI: 10.1016/j.cmet.2022.07.003] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Revised: 05/31/2022] [Accepted: 07/08/2022] [Indexed: 11/03/2022]
Abstract
Exercise induces signaling networks to improve muscle function and confer health benefits. To identify divergent and common signaling networks during and after different exercise modalities, we performed a phosphoproteomic analysis of human skeletal muscle from a cross-over intervention of endurance, sprint, and resistance exercise. This identified 5,486 phosphosites regulated during or after at least one type of exercise modality and only 420 core phosphosites common to all exercise. One of these core phosphosites was S67 on the uncharacterized protein C18ORF25, which we validated as an AMPK substrate. Mice lacking C18ORF25 have reduced skeletal muscle fiber size, exercise capacity, and muscle contractile function, and this was associated with reduced phosphorylation of contractile and Ca2+ handling proteins. Expression of C18ORF25 S66/67D phospho-mimetic reversed the decreased muscle force production. This work defines the divergent and canonical exercise phosphoproteome across different modalities and identifies C18ORF25 as a regulator of exercise signaling and muscle function.
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Affiliation(s)
- Ronnie Blazev
- Department of Anatomy & Physiology, The University of Melbourne, Parkville, VIC, Australia; Centre for Muscle Research, The University of Melbourne, Parkville, VIC, Australia
| | - Christian S Carl
- August Krogh Section for Molecular Physiology, Department of Nutrition, Exercise and Sports, Faculty of Science, The University of Copenhagen, Copenhagen, Denmark
| | - Yaan-Kit Ng
- Department of Anatomy & Physiology, The University of Melbourne, Parkville, VIC, Australia; Centre for Muscle Research, The University of Melbourne, Parkville, VIC, Australia
| | - Jeffrey Molendijk
- Department of Anatomy & Physiology, The University of Melbourne, Parkville, VIC, Australia; Centre for Muscle Research, The University of Melbourne, Parkville, VIC, Australia
| | - Christian T Voldstedlund
- August Krogh Section for Molecular Physiology, Department of Nutrition, Exercise and Sports, Faculty of Science, The University of Copenhagen, Copenhagen, Denmark
| | - Yuanyuan Zhao
- Department of Anatomy & Physiology, The University of Melbourne, Parkville, VIC, Australia
| | - Di Xiao
- Children's Medical Research Institute, The University of Sydney, Camperdown, NSW, Australia; School of Mathematics and Statistics, The University of Sydney, Camperdown, NSW, Australia
| | - Andrew J Kueh
- The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia
| | - Paula M Miotto
- Department of Anatomy & Physiology, The University of Melbourne, Parkville, VIC, Australia
| | - Vanessa R Haynes
- Department of Anatomy & Physiology, The University of Melbourne, Parkville, VIC, Australia
| | - Justin P Hardee
- Department of Anatomy & Physiology, The University of Melbourne, Parkville, VIC, Australia; Centre for Muscle Research, The University of Melbourne, Parkville, VIC, Australia
| | - Jin D Chung
- Department of Anatomy & Physiology, The University of Melbourne, Parkville, VIC, Australia; Centre for Muscle Research, The University of Melbourne, Parkville, VIC, Australia
| | - James W McNamara
- Department of Anatomy & Physiology, The University of Melbourne, Parkville, VIC, Australia; Centre for Muscle Research, The University of Melbourne, Parkville, VIC, Australia; Murdoch Children's Research Institute and Melbourne Centre for Cardiovascular Genomics and Regenerative Medicine, The Royal Children's Hospital, Parkville, VIC, Australia
| | - Hongwei Qian
- Department of Anatomy & Physiology, The University of Melbourne, Parkville, VIC, Australia; Centre for Muscle Research, The University of Melbourne, Parkville, VIC, Australia
| | - Paul Gregorevic
- Department of Anatomy & Physiology, The University of Melbourne, Parkville, VIC, Australia; Centre for Muscle Research, The University of Melbourne, Parkville, VIC, Australia
| | | | - Marco J Herold
- The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia
| | - Thomas E Jensen
- August Krogh Section for Molecular Physiology, Department of Nutrition, Exercise and Sports, Faculty of Science, The University of Copenhagen, Copenhagen, Denmark
| | - Leszek Lisowski
- Children's Medical Research Institute, The University of Sydney, Camperdown, NSW, Australia; Military Institute of Medicine, Warsaw, Poland
| | - Gordon S Lynch
- Department of Anatomy & Physiology, The University of Melbourne, Parkville, VIC, Australia; Centre for Muscle Research, The University of Melbourne, Parkville, VIC, Australia
| | - Garron T Dodd
- Department of Anatomy & Physiology, The University of Melbourne, Parkville, VIC, Australia
| | - Matthew J Watt
- Department of Anatomy & Physiology, The University of Melbourne, Parkville, VIC, Australia
| | - Pengyi Yang
- Children's Medical Research Institute, The University of Sydney, Camperdown, NSW, Australia; The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia
| | - Bente Kiens
- August Krogh Section for Molecular Physiology, Department of Nutrition, Exercise and Sports, Faculty of Science, The University of Copenhagen, Copenhagen, Denmark.
| | - Erik A Richter
- August Krogh Section for Molecular Physiology, Department of Nutrition, Exercise and Sports, Faculty of Science, The University of Copenhagen, Copenhagen, Denmark.
| | - Benjamin L Parker
- Department of Anatomy & Physiology, The University of Melbourne, Parkville, VIC, Australia; Centre for Muscle Research, The University of Melbourne, Parkville, VIC, Australia.
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6
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Zhou D, Wang Y, Yang R, Wang F, Zhao Z, Wang X, Xie L, Tian X, Wang G, Li B, Gong Y. The MyoD1 Promoted Muscle Differentiation and Generation by Activating CCND2 in Guanling Cattle. Animals (Basel) 2022; 12:ani12192571. [PMID: 36230312 PMCID: PMC9559206 DOI: 10.3390/ani12192571] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Revised: 08/24/2022] [Accepted: 09/08/2022] [Indexed: 11/16/2022] Open
Abstract
The purpose of this study was to analyze the transcriptome of MyoD1 gene knockout MDBK cells (bovine kidney cells) using high-throughput sequencing. For the first time, CRISPR/CAS9 technology was used to construct a MyoD1 knockout in MDBK cells and transcriptome sequence analysis was used to examine MyoD1-related target gene expression. Transcriptome sequencing indicated the presence of 723 differentially expressed genes (DEGs) by comparing wild type and MyoD1 knockout MDBK cells and included 178 upregulated and 72 downregulated genes. The DEGs are mainly enriched in Pl-3-kinase and AKT, p53 signaling pathways. Quantitative RT-PCR confirmed that PDE1B, ADAMTS1, DPT, and CCND2 were highly expressed in the leg muscle, longissimus dorsi, and shoulder of Guanling cattle, and CCND2 was inhibited after MyoD1 knockout, suggesting it may be a key downstream gene of MyoD1 and associated with muscle formation and differentiation in Guanling cattle. This provides experimental data for subsequent studies on the regulatory mechanisms of muscle differentiation in Guanling cattle.
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Affiliation(s)
- Di Zhou
- Guizhou Testing Center for Livestock and Poultry Germplasm, Guiyang 550018, China
| | - Yan Wang
- Guizhou Testing Center for Livestock and Poultry Germplasm, Guiyang 550018, China
| | - Rong Yang
- Guizhou Testing Center for Livestock and Poultry Germplasm, Guiyang 550018, China
| | - Fu Wang
- Guizhou Testing Center for Livestock and Poultry Germplasm, Guiyang 550018, China
| | - Zhonghai Zhao
- Guizhou Testing Center for Livestock and Poultry Germplasm, Guiyang 550018, China
| | - Xin Wang
- Guizhou Testing Center for Livestock and Poultry Germplasm, Guiyang 550018, China
| | - Lingling Xie
- Guizhou Testing Center for Livestock and Poultry Germplasm, Guiyang 550018, China
| | - Xingzhou Tian
- Key Laboratory of Animal Genetics, Breeding and Reproduction in the Plateau Mountainous Region, Ministry of Education, Guizhou University, Guiyang 550025, China
- Correspondence: (X.T.); (Y.G.)
| | - Guoze Wang
- Key Laboratory of Animal Genetics, Breeding and Reproduction in the Plateau Mountainous Region, Ministry of Education, Guizhou University, Guiyang 550025, China
| | - Bo Li
- Guizhou Livestock and Poultry Genetic Resources Management Station, Guiyang 550001, China
| | - Yu Gong
- Guizhou Livestock and Poultry Genetic Resources Management Station, Guiyang 550001, China
- Correspondence: (X.T.); (Y.G.)
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7
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Huang Z, Yu C, Yu L, Shu H, Zhu X. The Roles of FHL3 in Cancer. Front Oncol 2022; 12:887828. [PMID: 35686099 PMCID: PMC9171237 DOI: 10.3389/fonc.2022.887828] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Accepted: 04/18/2022] [Indexed: 12/19/2022] Open
Abstract
The four and a half LIM domain protein 3, also named the LIM-protein FHL3, belongs to the LIM-only family. Based on the special structure of LIM-only proteins, FHL3 can perform significant functions in muscle proliferation and cardiovascular diseases by regulating cell growth and signal transduction. In recent years, there has been increasing evidence of a relation between FHLs and tumor biology, since FHL3 is often overexpressed or downregulated in different cancers. On the one hand, FHL3 can function as a tumor suppressor and influence the expression of downstream genes. On the other hand, FHL3 can also play a role as an oncoprotein in some cancers to promote tumor progression via phosphorylation. Thus, FHL3 is proposed to have a dual effect on cancer progression, reflecting its complex roles in cancer. This review focuses on the roles of FHL3 in cancer progression and discusses the interaction of FHL3 with other proteins and transcription factors. Finally, the clinical significance of FHL3 for the treatment of cancers is discussed.
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Affiliation(s)
- Zhenjun Huang
- Department of Vascular Surgery, The Second Affiliated Hospital of Nanchang University, Nanchang, China.,Second Clinical Medical College, Nanchang University, Nanchang, China
| | - Chengpeng Yu
- Hepatic Surgery Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Liqing Yu
- Department of Vascular Surgery, The Second Affiliated Hospital of Nanchang University, Nanchang, China.,Second Clinical Medical College, Nanchang University, Nanchang, China
| | - Hongxin Shu
- Department of Vascular Surgery, The Second Affiliated Hospital of Nanchang University, Nanchang, China.,Second Clinical Medical College, Nanchang University, Nanchang, China
| | - Xianhua Zhu
- Department of Vascular Surgery, The Second Affiliated Hospital of Nanchang University, Nanchang, China
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8
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van der Pijl RJ, Domenighetti AA, Sheikh F, Ehler E, Ottenheijm CAC, Lange S. The titin N2B and N2A regions: biomechanical and metabolic signaling hubs in cross-striated muscles. Biophys Rev 2021; 13:653-677. [PMID: 34745373 PMCID: PMC8553726 DOI: 10.1007/s12551-021-00836-3] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Accepted: 08/23/2021] [Indexed: 02/07/2023] Open
Abstract
Muscle specific signaling has been shown to originate from myofilaments and their associated cellular structures, including the sarcomeres, costameres or the cardiac intercalated disc. Two signaling hubs that play important biomechanical roles for cardiac and/or skeletal muscle physiology are the N2B and N2A regions in the giant protein titin. Prominent proteins associated with these regions in titin are chaperones Hsp90 and αB-crystallin, members of the four-and-a-half LIM (FHL) and muscle ankyrin repeat protein (Ankrd) families, as well as thin filament-associated proteins, such as myopalladin. This review highlights biological roles and properties of the titin N2B and N2A regions in health and disease. Special emphasis is placed on functions of Ankrd and FHL proteins as mechanosensors that modulate muscle-specific signaling and muscle growth. This region of the sarcomere also emerged as a hotspot for the modulation of passive muscle mechanics through altered titin phosphorylation and splicing, as well as tethering mechanisms that link titin to the thin filament system.
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Affiliation(s)
| | - Andrea A. Domenighetti
- Shirley Ryan AbilityLab, Chicago, IL USA
- Department of Physical Medicine and Rehabilitation, Northwestern University, Chicago, IL USA
| | - Farah Sheikh
- Division of Cardiology, School of Medicine, UC San Diego, La Jolla, CA USA
| | - Elisabeth Ehler
- Randall Centre for Cell and Molecular Biophysics, School of Cardiovascular Medicine and Sciences, King’s College London, London, UK
| | - Coen A. C. Ottenheijm
- Department of Cellular and Molecular Medicine, University of Arizona, Tucson, AZ USA
- Department of Physiology, Amsterdam University Medical Centers, Amsterdam, The Netherlands
| | - Stephan Lange
- Division of Cardiology, School of Medicine, UC San Diego, La Jolla, CA USA
- Department of Molecular and Clinical Medicine, University of Gothenburg, Gothenburg, Sweden
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9
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Chen F, Yuan W, Mo X, Zhuang J, Wang Y, Chen J, Jiang Z, Zhu X, Zeng Q, Wan Y, Li F, Shi Y, Cao L, Fan X, Luo S, Ye X, Chen Y, Dai G, Gao J, Wang X, Xie H, Zhu P, Li Y, Wu X. Role of Zebrafish fhl1A in Satellite Cell and Skeletal Muscle Development. Curr Mol Med 2019. [PMID: 29521230 PMCID: PMC6040174 DOI: 10.2174/1566524018666180308113909] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Background: Four-and-a-half LIM domains protein 1 (FHL1) mutations are associated with human myopathies. However, the function of this protein in skeletal development remains unclear. Methods: Whole-mount in situ hybridization and embryo immunostaining were performed. Results: Zebrafish Fhl1A is the homologue of human FHL1. We showed that fhl1A knockdown causes defective skeletal muscle development, while injection with fhl1A mRNA largely recovered the muscle development in these fhl1A morphants. We also demonstrated that fhl1A knockdown decreases the number of satellite cells. This decrease in satellite cells and the emergence of skeletal muscle abnormalities were associated with alterations in the gene expression of myoD, pax7, mef2ca and skMLCK. We also demonstrated that fhl1A expression and retinoic acid (RA) signalling caused similar skeletal muscle development phenotypes. Moreover, when treated with exogenous RA, endogenous fhl1A expression in skeletal muscles was robust. When treated with DEAB, an RA signalling inhibitor which inhibits the activity of retinaldehyde dehydrogenase, fhl1A was downregulated. Conclusion: fhl1A functions as an activator in regulating the number of satellite cells and in skeletal muscle development. The role of fhl1A in skeletal myogenesis is regulated by RA signaling.
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Affiliation(s)
- F Chen
- The Center for Heart Development, State Key Lab of Developmental Biology of Freshwater Fish, College of Life Sciences, Hunan Normal University, Changsha, Hunan 410081, China
| | - W Yuan
- The Center for Heart Development, State Key Lab of Developmental Biology of Freshwater Fish, College of Life Sciences, Hunan Normal University, Changsha, Hunan 410081, China
| | - X Mo
- The Center for Heart Development, State Key Lab of Developmental Biology of Freshwater Fish, College of Life Sciences, Hunan Normal University, Changsha, Hunan 410081, China
| | - J Zhuang
- Guangdong Cardiovascular Institute, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510100, China
| | - Y Wang
- The Center for Heart Development, State Key Lab of Developmental Biology of Freshwater Fish, College of Life Sciences, Hunan Normal University, Changsha, Hunan 410081, China
| | - J Chen
- Guangdong Cardiovascular Institute, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510100, China
| | - Z Jiang
- The Center for Heart Development, State Key Lab of Developmental Biology of Freshwater Fish, College of Life Sciences, Hunan Normal University, Changsha, Hunan 410081, China
| | - X Zhu
- Guangdong Cardiovascular Institute, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510100, China
| | - Q Zeng
- The Center for Heart Development, State Key Lab of Developmental Biology of Freshwater Fish, College of Life Sciences, Hunan Normal University, Changsha, Hunan 410081, China
| | - Y Wan
- The Center for Heart Development, State Key Lab of Developmental Biology of Freshwater Fish, College of Life Sciences, Hunan Normal University, Changsha, Hunan 410081, China
| | - F Li
- The Center for Heart Development, State Key Lab of Developmental Biology of Freshwater Fish, College of Life Sciences, Hunan Normal University, Changsha, Hunan 410081, China
| | - Y Shi
- The Center for Heart Development, State Key Lab of Developmental Biology of Freshwater Fish, College of Life Sciences, Hunan Normal University, Changsha, Hunan 410081, China
| | - L Cao
- The Center for Heart Development, State Key Lab of Developmental Biology of Freshwater Fish, College of Life Sciences, Hunan Normal University, Changsha, Hunan 410081, China
| | - X Fan
- The Center for Heart Development, State Key Lab of Developmental Biology of Freshwater Fish, College of Life Sciences, Hunan Normal University, Changsha, Hunan 410081, China
| | - S Luo
- The Center for Heart Development, State Key Lab of Developmental Biology of Freshwater Fish, College of Life Sciences, Hunan Normal University, Changsha, Hunan 410081, China
| | - X Ye
- The Center for Heart Development, State Key Lab of Developmental Biology of Freshwater Fish, College of Life Sciences, Hunan Normal University, Changsha, Hunan 410081, China
| | - Y Chen
- The Center for Heart Development, State Key Lab of Developmental Biology of Freshwater Fish, College of Life Sciences, Hunan Normal University, Changsha, Hunan 410081, China
| | - G Dai
- The Center for Heart Development, State Key Lab of Developmental Biology of Freshwater Fish, College of Life Sciences, Hunan Normal University, Changsha, Hunan 410081, China
| | - J Gao
- The Center for Heart Development, State Key Lab of Developmental Biology of Freshwater Fish, College of Life Sciences, Hunan Normal University, Changsha, Hunan 410081, China
| | - X Wang
- The Center for Heart Development, State Key Lab of Developmental Biology of Freshwater Fish, College of Life Sciences, Hunan Normal University, Changsha, Hunan 410081, China
| | - H Xie
- The Center for Heart Development, State Key Lab of Developmental Biology of Freshwater Fish, College of Life Sciences, Hunan Normal University, Changsha, Hunan 410081, China.,Animal Nutrition and Human Health Laboratory, School of Life Sciences, Hunan Normal University, Changsha, Hunan 410081, China
| | - P Zhu
- Guangdong Cardiovascular Institute, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510100, China
| | - Y Li
- The Center for Heart Development, State Key Lab of Developmental Biology of Freshwater Fish, College of Life Sciences, Hunan Normal University, Changsha, Hunan 410081, China
| | - X Wu
- The Center for Heart Development, State Key Lab of Developmental Biology of Freshwater Fish, College of Life Sciences, Hunan Normal University, Changsha, Hunan 410081, China
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10
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Han S, Cui C, Wang Y, He H, Shen X, Chen Y, Liu Z, Zhu Q, Li D, Yin H. FHL3 negatively regulates the differentiation of skeletal muscle satellite cells in chicken. 3 Biotech 2019; 9:206. [PMID: 31139537 DOI: 10.1007/s13205-019-1735-3] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2019] [Accepted: 04/26/2019] [Indexed: 10/26/2022] Open
Abstract
As a member of four and a half LIM domain proteins, FHL3 gene-encoded protein (FHL3) plays an important role in skeletal muscle development and contraction. In this study, we determined the potential role of FHL3 in the proliferation and differentiation of primary satellite cells in chicken. RT-qPCR results showed that FHL3 mRNA was highly expressed in skeletal muscle in 12 chicken tissues. Four cell proliferation assays (CCK8 assay; EDU staining assay; flow cytometric detection of cell cycle assay; and detection of cell proliferation marker genes Ki67 and N-Ras assay) revealed that FHL3 knockdown had no effect on the proliferation rate of chicken satellite cells. FHL3 knockdown promoted the differentiation of satellite cells into myotubes, as evidenced by increased fusion index, number of nuclei per myotube, Myog, Myh7, Myf5, and Mrf4 mRNA expressions, and myog and myosin heavy chain protein expressions of myogenic markers (P < 0.05). These results showed that the FHL3 was a negative regulator of the differentiation and fusion of chicken satellite cells into myotubes. However, FHL3 expression was increased during the differentiation of chicken satellite cells into myotubes. The study suggested that FHL3 might have different functions in chicken myotubes compared with that in chicken satellite cells.
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11
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Han W, Hu P, Wu F, Wang S, Hu Y, Li S, Jiang T, Qiang B, Peng X. FHL3 links cell growth and self-renewal by modulating SOX4 in glioma. Cell Death Differ 2018; 26:796-811. [PMID: 29955125 DOI: 10.1038/s41418-018-0152-1] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2018] [Revised: 05/13/2018] [Accepted: 06/05/2018] [Indexed: 12/21/2022] Open
Abstract
Differentiation status significantly affects the properties of malignant glioma cells, with non-stem cells inducing tumor enlargement and stem-like cells driving tumor initiation and treatment resistance. It is not completely understood how the same protein can have a distinct role in these cell populations. Here, we report that four and a half LIM domain protein 3 (FHL3) has an inhibitory effect on proliferation in non-stem glioma cells and a non-proliferative effect in glioma stem cells (GSCs). In GSCs, we show that FHL3 interacts with the Smad2/3 protein complex at the SOX4 promoter region, inhibits SOX4 transcriptional activity by recruiting PPM1A phosphatase to Smad2/3, and then suppresses GSC tumor sphere formation and self-renewal in vitro and in vivo via downregulation of SOX2 expression. Altogether, these findings highlight the role of FHL3 as a stemness-suppressor in regulation of the Smad2/3-SOX4-SOX2 axis in glioma.
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Affiliation(s)
- Wei Han
- State Key Laboratory of Medical Molecular Biology, Department of Molecular Biology and Biochemistry, Institute of Basic Medical Sciences, Medical Primate Research Center, Neuroscience Center, Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, 100005, Beijing, China
| | - Peishan Hu
- State Key Laboratory of Medical Molecular Biology, Department of Molecular Biology and Biochemistry, Institute of Basic Medical Sciences, Medical Primate Research Center, Neuroscience Center, Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, 100005, Beijing, China
| | - Fan Wu
- State Key Laboratory of Medical Molecular Biology, Department of Molecular Biology and Biochemistry, Institute of Basic Medical Sciences, Medical Primate Research Center, Neuroscience Center, Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, 100005, Beijing, China.,Department of Neurosurgery, Beijing Tiantan Hospital, 100050, Beijing, China
| | - Shanshan Wang
- State Key Laboratory of Medical Molecular Biology, Department of Molecular Biology and Biochemistry, Institute of Basic Medical Sciences, Medical Primate Research Center, Neuroscience Center, Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, 100005, Beijing, China
| | - Yan Hu
- State Key Laboratory of Medical Molecular Biology, Department of Molecular Biology and Biochemistry, Institute of Basic Medical Sciences, Medical Primate Research Center, Neuroscience Center, Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, 100005, Beijing, China
| | - Shanshan Li
- State Key Laboratory of Medical Molecular Biology, Department of Molecular Biology and Biochemistry, Institute of Basic Medical Sciences, Medical Primate Research Center, Neuroscience Center, Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, 100005, Beijing, China
| | - Tao Jiang
- Department of Neurosurgery, Beijing Tiantan Hospital, 100050, Beijing, China
| | - Boqin Qiang
- State Key Laboratory of Medical Molecular Biology, Department of Molecular Biology and Biochemistry, Institute of Basic Medical Sciences, Medical Primate Research Center, Neuroscience Center, Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, 100005, Beijing, China.
| | - Xiaozhong Peng
- State Key Laboratory of Medical Molecular Biology, Department of Molecular Biology and Biochemistry, Institute of Basic Medical Sciences, Medical Primate Research Center, Neuroscience Center, Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, 100005, Beijing, China. .,Institute of Medical Biology, Chinese Academy of Medical Sciences, Chinese Academy of Medical Science and Peking Union Medical College, 650118, Kunming, China.
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12
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Zhou D, Xu H, Chen W, Wang Y, Zhang M, Yang T. Study on the transcriptional regulatory mechanism of the MyoD1 gene in Guanling bovine. RSC Adv 2018; 8:12409-12419. [PMID: 35548782 PMCID: PMC9087982 DOI: 10.1039/c7ra11795g] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2017] [Revised: 12/13/2018] [Accepted: 03/09/2018] [Indexed: 01/09/2023] Open
Abstract
The MyoD1 gene plays a key role in regulating the myoblast differentiation process in the early stage of skeletal muscle development. To understand the functional elements of the promoter region and transcriptional regulation of the bovine MyoD1 gene, we cloned eight fragments from the sequence region of the MyoD1 gene promoter and inserted them into eukaryotic expression vectors for cotransfection with the mouse myoblast cell line C2C12 and Madin-Darby bovine kidney (MDBK) line. A variety of transcription factor binding sites in the longest 5'-flanking fragment from Guanling cattle MyoD1-P1 were predicted by using the online software TFSEARCH and ALGGEN PROMO as well as validated by the promoter-binding TF profiling assay II and yeast one-hybrid (Y1H) assay, including MyoD, VDR, MEF1, MEF2, SF1, and Myf6. Myf6 strongly activated the MyoD1 promoter, while MyoD1 was also capable of efficiently activating the expression of its own promoter. The transcription factors MEF2A, SF1, and VDR were further confirmed to be capable of binding to MyoD1 by Y1H system experiments. The effects of the Guanling cattle MyoD1 gene on the mRNA expression of the MEF2A, SF1, and VDR genes were determined by using a lentivirus-mediated overexpression technique, confirming that overexpression of the MyoD1 gene upregulated the mRNA expression of MEF2A as well as downregulated the expression of SF1 and VDR in the process of muscle myogenesis. Our study revealed the effects of transcription factors including MEF2A, SF1 and VDR on regulatory aspects of MyoD1, providing abundant information for transcriptional regulation of MyoD1 in muscle differentiation.
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Affiliation(s)
- Di Zhou
- Key Laboratory of Animal Genetics, Breeding and Reproduction in the Plateau Mountainous Region, Cell and Molecular Biology (PhD), Animal Department, Guizhou University Guiyang 550025 China
- College of Life Science, Guizhou University Guiyang 550025 China
| | - Houqiang Xu
- Key Laboratory of Animal Genetics, Breeding and Reproduction in the Plateau Mountainous Region, Cell and Molecular Biology (PhD), Animal Department, Guizhou University Guiyang 550025 China
| | - Wei Chen
- Key Laboratory of Animal Genetics, Breeding and Reproduction in the Plateau Mountainous Region, Cell and Molecular Biology (PhD), Animal Department, Guizhou University Guiyang 550025 China
| | - Yuanyuan Wang
- Key Laboratory of Animal Genetics, Breeding and Reproduction in the Plateau Mountainous Region, Cell and Molecular Biology (PhD), Animal Department, Guizhou University Guiyang 550025 China
| | - Ming Zhang
- Key Laboratory of Animal Genetics, Breeding and Reproduction in the Plateau Mountainous Region, Cell and Molecular Biology (PhD), Animal Department, Guizhou University Guiyang 550025 China
| | - Tao Yang
- Key Laboratory of Animal Genetics, Breeding and Reproduction in the Plateau Mountainous Region, Cell and Molecular Biology (PhD), Animal Department, Guizhou University Guiyang 550025 China
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13
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Nuclear Pores Regulate Muscle Development and Maintenance by Assembling a Localized Mef2C Complex. Dev Cell 2017; 41:540-554.e7. [PMID: 28586646 DOI: 10.1016/j.devcel.2017.05.007] [Citation(s) in RCA: 50] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2016] [Revised: 04/29/2017] [Accepted: 05/08/2017] [Indexed: 02/08/2023]
Abstract
Nuclear pore complexes (NPCs) are multiprotein channels connecting the nucleus with the cytoplasm. NPCs have been shown to have tissue-specific composition, suggesting that their function can be specialized. However, the physiological roles of NPC composition changes and their impacts on cellular processes remain unclear. Here we show that the addition of the Nup210 nucleoporin to NPCs during myoblast differentiation results in assembly of an Mef2C transcriptional complex required for efficient expression of muscle structural genes and microRNAs. We show that this NPC-localized complex is essential for muscle growth, myofiber maturation, and muscle cell survival and that alterations in its activity result in muscle degeneration. Our findings suggest that NPCs regulate the activity of functional gene groups by acting as scaffolds that promote the local assembly of tissue-specific transcription complexes and show how nuclear pore composition changes can be exploited to regulate gene expression at the nuclear periphery.
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14
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Sun C, De Mello V, Mohamed A, Ortuste Quiroga HP, Garcia-Munoz A, Al Bloshi A, Tremblay AM, von Kriegsheim A, Collie-Duguid E, Vargesson N, Matallanas D, Wackerhage H, Zammit PS. Common and Distinctive Functions of the Hippo Effectors Taz and Yap in Skeletal Muscle Stem Cell Function. Stem Cells 2017; 35:1958-1972. [PMID: 28589555 PMCID: PMC5575518 DOI: 10.1002/stem.2652] [Citation(s) in RCA: 82] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2016] [Accepted: 01/07/2017] [Indexed: 12/13/2022]
Abstract
Hippo pathway downstream effectors Yap and Taz play key roles in cell proliferation and regeneration, regulating gene expression especially via Tead transcription factors. To investigate their role in skeletal muscle stem cells, we analyzed Taz in vivo and ex vivo in comparison with Yap. Small interfering RNA knockdown or retroviral‐mediated expression of wild‐type human or constitutively active TAZ mutants in satellite cells showed that TAZ promoted proliferation, a function shared with YAP. However, at later stages of myogenesis, TAZ also enhanced myogenic differentiation of myoblasts, whereas YAP inhibits such differentiation. Functionally, while muscle growth was mildly affected in Taz (gene Wwtr1–/–) knockout mice, there were no overt effects on regeneration. Conversely, conditional knockout of Yap in satellite cells of Pax7Cre‐ERT2/+: Yapfl°x/fl°x:Rosa26Lacz mice produced a regeneration deficit. To identify potential mechanisms, microarray analysis showed many common TAZ/YAP target genes, but TAZ also regulates some genes independently of YAP, including myogenic genes such as Pax7, Myf5, and Myod1 (ArrayExpress–E‐MTAB‐5395). Proteomic analysis revealed many novel binding partners of TAZ/YAP in myogenic cells, but TAZ also interacts with proteins distinct from YAP that are often involved in myogenesis and aspects of cytoskeleton organization (ProteomeXchange–PXD005751). Neither TAZ nor YAP bind members of the Wnt destruction complex but both regulated expression of Wnt and Wnt‐cross talking genes with known roles in myogenesis. Finally, TAZ operates through Tead4 to enhance myogenic differentiation. In summary, Taz and Yap have overlapping functions in promoting myoblast proliferation but Taz then switches to enhance myogenic differentiation. Stem Cells2017;35:1958–1972
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Affiliation(s)
- Congshan Sun
- Randall Division of Cell and Molecular Biophysics, King's College London, London, UK
| | - Vanessa De Mello
- School of Medicine, Medical Sciences & Nutrition, University of Aberdeen, Foresterhill, Aberdeen, Scotland, UK
| | - Abdalla Mohamed
- School of Medicine, Medical Sciences & Nutrition, University of Aberdeen, Foresterhill, Aberdeen, Scotland, UK
| | | | | | - Abdullah Al Bloshi
- School of Medicine, Medical Sciences & Nutrition, University of Aberdeen, Foresterhill, Aberdeen, Scotland, UK
| | - Annie M Tremblay
- Stem Cell Program, Children's Hospital, Boston, Massachusetts, USA.,Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, Massachusetts, USA.,Harvard Stem Cell Institute, Cambridge, Massachusetts, USA
| | | | - Elaina Collie-Duguid
- Centre for Genome Enabled Biology and Medicine, School of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Foresterhill, Aberdeen, Scotland, UK
| | - Neil Vargesson
- School of Medicine, Medical Sciences & Nutrition, University of Aberdeen, Foresterhill, Aberdeen, Scotland, UK
| | | | - Henning Wackerhage
- School of Medicine, Medical Sciences & Nutrition, University of Aberdeen, Foresterhill, Aberdeen, Scotland, UK.,Faculty of Sport and Health Sciences, Technical University of Munich, Munich, Germany
| | - Peter S Zammit
- Randall Division of Cell and Molecular Biophysics, King's College London, London, UK
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15
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Abstract
Cardiac and skeletal striated muscles are intricately designed machines responsible for muscle contraction. Coordination of the basic contractile unit, the sarcomere, and the complex cytoskeletal networks are critical for contractile activity. The sarcomere is comprised of precisely organized individual filament systems that include thin (actin), thick (myosin), titin, and nebulin. Connecting the sarcomere to other organelles (e.g., mitochondria and nucleus) and serving as the scaffold to maintain cellular integrity are the intermediate filaments. The costamere, on the other hand, tethers the sarcomere to the cell membrane. Unique structures like the intercalated disc in cardiac muscle and the myotendinous junction in skeletal muscle help synchronize and transmit force. Intense investigation has been done on many of the proteins that make up these cytoskeletal assemblies. Yet the details of their function and how they interconnect have just started to be elucidated. A vast number of human myopathies are contributed to mutations in muscle proteins; thus understanding their basic function provides a mechanistic understanding of muscle disorders. In this review, we highlight the components of striated muscle with respect to their interactions, signaling pathways, functions, and connections to disease. © 2017 American Physiological Society. Compr Physiol 7:891-944, 2017.
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Affiliation(s)
- Christine A Henderson
- Department of Cellular and Molecular Medicine, The University of Arizona, Tucson, Arizona, USA.,Sarver Molecular Cardiovascular Research Program, The University of Arizona, Tucson, Arizona, USA
| | - Christopher G Gomez
- Department of Cellular and Molecular Medicine, The University of Arizona, Tucson, Arizona, USA.,Sarver Molecular Cardiovascular Research Program, The University of Arizona, Tucson, Arizona, USA
| | - Stefanie M Novak
- Department of Cellular and Molecular Medicine, The University of Arizona, Tucson, Arizona, USA.,Sarver Molecular Cardiovascular Research Program, The University of Arizona, Tucson, Arizona, USA
| | - Lei Mi-Mi
- Department of Cellular and Molecular Medicine, The University of Arizona, Tucson, Arizona, USA.,Sarver Molecular Cardiovascular Research Program, The University of Arizona, Tucson, Arizona, USA
| | - Carol C Gregorio
- Department of Cellular and Molecular Medicine, The University of Arizona, Tucson, Arizona, USA.,Sarver Molecular Cardiovascular Research Program, The University of Arizona, Tucson, Arizona, USA
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Tachmazidou I, Süveges D, Min JL, Ritchie GRS, Steinberg J, Walter K, Iotchkova V, Schwartzentruber J, Huang J, Memari Y, McCarthy S, Crawford AA, Bombieri C, Cocca M, Farmaki AE, Gaunt TR, Jousilahti P, Kooijman MN, Lehne B, Malerba G, Männistö S, Matchan A, Medina-Gomez C, Metrustry SJ, Nag A, Ntalla I, Paternoster L, Rayner NW, Sala C, Scott WR, Shihab HA, Southam L, St Pourcain B, Traglia M, Trajanoska K, Zaza G, Zhang W, Artigas MS, Bansal N, Benn M, Chen Z, Danecek P, Lin WY, Locke A, Luan J, Manning AK, Mulas A, Sidore C, Tybjaerg-Hansen A, Varbo A, Zoledziewska M, Finan C, Hatzikotoulas K, Hendricks AE, Kemp JP, Moayyeri A, Panoutsopoulou K, Szpak M, Wilson SG, Boehnke M, Cucca F, Di Angelantonio E, Langenberg C, Lindgren C, McCarthy MI, Morris AP, Nordestgaard BG, Scott RA, Tobin MD, Wareham NJ, Burton P, Chambers JC, Smith GD, Dedoussis G, Felix JF, Franco OH, Gambaro G, Gasparini P, Hammond CJ, Hofman A, Jaddoe VWV, Kleber M, Kooner JS, Perola M, Relton C, Ring SM, Rivadeneira F, Salomaa V, Spector TD, Stegle O, Toniolo D, Uitterlinden AG, Barroso I, Greenwood CMT, Perry JRB, Walker BR, Butterworth AS, Xue Y, Durbin R, Small KS, Soranzo N, Timpson NJ, Zeggini E. Whole-Genome Sequencing Coupled to Imputation Discovers Genetic Signals for Anthropometric Traits. Am J Hum Genet 2017; 100:865-884. [PMID: 28552196 PMCID: PMC5473732 DOI: 10.1016/j.ajhg.2017.04.014] [Citation(s) in RCA: 103] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2016] [Accepted: 04/21/2017] [Indexed: 01/05/2023] Open
Abstract
Deep sequence-based imputation can enhance the discovery power of genome-wide association studies by assessing previously unexplored variation across the common- and low-frequency spectra. We applied a hybrid whole-genome sequencing (WGS) and deep imputation approach to examine the broader allelic architecture of 12 anthropometric traits associated with height, body mass, and fat distribution in up to 267,616 individuals. We report 106 genome-wide significant signals that have not been previously identified, including 9 low-frequency variants pointing to functional candidates. Of the 106 signals, 6 are in genomic regions that have not been implicated with related traits before, 28 are independent signals at previously reported regions, and 72 represent previously reported signals for a different anthropometric trait. 71% of signals reside within genes and fine mapping resolves 23 signals to one or two likely causal variants. We confirm genetic overlap between human monogenic and polygenic anthropometric traits and find signal enrichment in cis expression QTLs in relevant tissues. Our results highlight the potential of WGS strategies to enhance biologically relevant discoveries across the frequency spectrum.
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Affiliation(s)
- Ioanna Tachmazidou
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton CB10 1SA, UK
| | - Dániel Süveges
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton CB10 1SA, UK
| | - Josine L Min
- MRC Integrative Epidemiology Unit, School of Social and Community Medicine, University of Bristol, Bristol BS8 2BN, UK
| | - Graham R S Ritchie
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton CB10 1SA, UK; Usher Institute of Population Health Sciences & Informatics, University of Edinburgh, Edinburgh EH16 4UX, UK; MRC Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh EH16 4UX, UK
| | - Julia Steinberg
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton CB10 1SA, UK
| | - Klaudia Walter
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton CB10 1SA, UK
| | - Valentina Iotchkova
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton CB10 1SA, UK; European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton CB10 1SD, UK
| | | | - Jie Huang
- Boston VA Research Institute, Boston, MA 02130, USA
| | - Yasin Memari
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton CB10 1SA, UK
| | - Shane McCarthy
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton CB10 1SA, UK
| | - Andrew A Crawford
- MRC Integrative Epidemiology Unit, School of Social and Community Medicine, University of Bristol, Bristol BS8 2BN, UK; BHF Centre for Cardiovascular Science, Queen's Medical Research Institute, University of Edinburgh, Edinburgh EH16 4TJ, UK
| | - Cristina Bombieri
- Department of Neurological, Biomedical and Movement Sciences, University of Verona, Verona 37134, Italy
| | - Massimiliano Cocca
- Department of Medical, Surgical and Health Sciences, University of Trieste, Trieste 34100, Italy
| | - Aliki-Eleni Farmaki
- Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, Athens 17671, Greece
| | - Tom R Gaunt
- MRC Integrative Epidemiology Unit, School of Social and Community Medicine, University of Bristol, Bristol BS8 2BN, UK
| | - Pekka Jousilahti
- Department of Health, National Institute for Health and Welfare, Helsinki 00271, Finland
| | - Marjolein N Kooijman
- The Generation R Study Group, Erasmus Medical Center, University Medical Center, Rotterdam 3000 CA, the Netherlands; Department of Epidemiology, Erasmus Medical Center, University Medical Center, Rotterdam 3000 CA, the Netherlands; Department of Pediatrics, Erasmus Medical Center, University Medical Center, Rotterdam 3000 CA, the Netherlands
| | - Benjamin Lehne
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London W2 1PG, UK
| | - Giovanni Malerba
- Department of Neurological, Biomedical and Movement Sciences, University of Verona, Verona 37134, Italy
| | - Satu Männistö
- Department of Health, National Institute for Health and Welfare, Helsinki 00271, Finland
| | - Angela Matchan
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton CB10 1SA, UK
| | - Carolina Medina-Gomez
- Department of Epidemiology, Erasmus Medical Center, University Medical Center, Rotterdam 3000 CA, the Netherlands; Department of Internal Medicine, Erasmus Medical Center, University Medical Center, Rotterdam 3000 CA, the Netherlands
| | - Sarah J Metrustry
- Department of Twin Research and Genetic Epidemiology, King's College London, London SE1 7EH, UK
| | - Abhishek Nag
- Department of Twin Research and Genetic Epidemiology, King's College London, London SE1 7EH, UK
| | - Ioanna Ntalla
- William Harvey Research Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London EC1M 6BQ, UK
| | - Lavinia Paternoster
- MRC Integrative Epidemiology Unit, School of Social and Community Medicine, University of Bristol, Bristol BS8 2BN, UK
| | - Nigel W Rayner
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton CB10 1SA, UK; Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK; Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Churchill Hospital, Oxford OX3 7LJ, UK
| | - Cinzia Sala
- Division of Genetics and Cell Biology, San Raffaele Scientific Institute, Milan 20132, Italy
| | - William R Scott
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London W2 1PG, UK; Department of Cardiology, Ealing Hospital NHS Trust, Middlesex UB1 3EU, UK
| | - Hashem A Shihab
- MRC Integrative Epidemiology Unit, School of Social and Community Medicine, University of Bristol, Bristol BS8 2BN, UK
| | - Lorraine Southam
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton CB10 1SA, UK; Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK
| | - Beate St Pourcain
- MRC Integrative Epidemiology Unit, School of Social and Community Medicine, University of Bristol, Bristol BS8 2BN, UK; Max Planck Institute for Psycholinguistics, Nijmegen 6500, the Netherlands
| | - Michela Traglia
- Division of Genetics and Cell Biology, San Raffaele Scientific Institute, Milan 20132, Italy
| | - Katerina Trajanoska
- Department of Epidemiology, Erasmus Medical Center, University Medical Center, Rotterdam 3000 CA, the Netherlands; Department of Internal Medicine, Erasmus Medical Center, University Medical Center, Rotterdam 3000 CA, the Netherlands
| | - Gialuigi Zaza
- Renal Unit, Department of Medicine, Verona University Hospital, Verona 37126, Italy
| | - Weihua Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London W2 1PG, UK; Department of Cardiology, Ealing Hospital NHS Trust, Middlesex UB1 3EU, UK
| | - María S Artigas
- Genetic Epidemiology Group, Department of Health Sciences, University of Leicester, Leicester LE1 7RH, UK
| | - Narinder Bansal
- Cardiovascular Epidemiology Unit, Department of Public Health & Primary Care, University of Cambridge, Cambridge CB1 8RN, UK
| | - Marianne Benn
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen 2200, Denmark; Department of Clinical Biochemistry, Rigshospitalet, Copenhagen University Hospital, Copenhagen 2100, Denmark
| | - Zhongsheng Chen
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI 48109, USA
| | - Petr Danecek
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen 2200, Denmark; Department of Clinical Biochemistry, Rigshospitalet, Copenhagen University Hospital, Copenhagen 2100, Denmark
| | - Wei-Yu Lin
- Cardiovascular Epidemiology Unit, Department of Public Health & Primary Care, University of Cambridge, Cambridge CB1 8RN, UK
| | - Adam Locke
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI 48109, USA; McDonnell Genome Institute, Washington University School of Medicine, Saint Louis, MO 63108, USA
| | - Jian'an Luan
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge CB2 0QQ, UK
| | - Alisa K Manning
- Center for Human Genetics Research, Massachusetts General Hospital, Boston, MA 02114, USA; Program in Medical and Population Genetics, Broad Institute, Cambridge, MA 02142, USA; Department of Medicine, Harvard University Medical School, Boston, MA 02115, USA
| | - Antonella Mulas
- Istituto di Ricerca Genetica e Biomedica (IRGB-CNR), Cagliari 09100, Italy; Università degli Studi di Sassari, Sassari 07100, Italy
| | - Carlo Sidore
- Istituto di Ricerca Genetica e Biomedica (IRGB-CNR), Cagliari 09100, Italy
| | - Anne Tybjaerg-Hansen
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen 2200, Denmark; Department of Clinical Biochemistry, Rigshospitalet, Copenhagen University Hospital, Copenhagen 2100, Denmark
| | - Anette Varbo
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen 2200, Denmark; Department of Clinical Biochemistry, Rigshospitalet, Copenhagen University Hospital, Copenhagen 2100, Denmark
| | | | - Chris Finan
- Institute of Cardiovascular Science, Faculty of Population Health, University College London, London WC1E 6BT, UK
| | | | - Audrey E Hendricks
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton CB10 1SA, UK; Mathematical and Statistical Sciences, University of Colorado Denver, Denver, CO 80204, USA
| | - John P Kemp
- MRC Integrative Epidemiology Unit, School of Social and Community Medicine, University of Bristol, Bristol BS8 2BN, UK; University of Queensland Diamantina Institute, Translational Research Institute, Brisbane, QLD 4072, Australia
| | - Alireza Moayyeri
- Department of Twin Research and Genetic Epidemiology, King's College London, London SE1 7EH, UK; Institute of Health Informatics, University College London, London NW1 2DA, UK
| | | | - Michal Szpak
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton CB10 1SA, UK
| | - Scott G Wilson
- Department of Twin Research and Genetic Epidemiology, King's College London, London SE1 7EH, UK; School of Medicine and Pharmacology, The University of Western Australia, Crawley, WA 6009, Australia; Department of Endocrinology and Diabetes, Sir Charles Gairdner Hospital, Nedlands, WA 6009, Australia
| | - Michael Boehnke
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI 48109, USA
| | - Francesco Cucca
- Istituto di Ricerca Genetica e Biomedica (IRGB-CNR), Cagliari 09100, Italy; Università degli Studi di Sassari, Sassari 07100, Italy
| | - Emanuele Di Angelantonio
- Cardiovascular Epidemiology Unit, Department of Public Health & Primary Care, University of Cambridge, Cambridge CB1 8RN, UK; The National Institute for Health Research Blood and Transplant Unit (NIHR BTRU) in Donor Health and Genomics at the University of Cambridge, Cambridge CB1 8RN, UK
| | - Claudia Langenberg
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge CB2 0QQ, UK
| | - Cecilia Lindgren
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK; Li Ka Shing Centre for Health Information and Discovery, The Big Data Institute, University of Oxford, Oxford OX3 7BN, UK
| | - Mark I McCarthy
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK; Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Churchill Hospital, Oxford OX3 7LJ, UK; Oxford NIHR Biomedical Research Centre, Churchill Hospital, Oxford OX3 7LJ, UK
| | - Andrew P Morris
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK; Department of Biostatistics, University of Liverpool, Liverpool L69 3GL, UK; Estonian Genome Center, University of Tartu, Tartu, Tartumaa 51010, Estonia
| | - Børge G Nordestgaard
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen 2200, Denmark; Department of Clinical Biochemistry, Rigshospitalet, Copenhagen University Hospital, Copenhagen 2100, Denmark
| | - Robert A Scott
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge CB2 0QQ, UK
| | - Martin D Tobin
- Genetic Epidemiology Group, Department of Health Sciences, University of Leicester, Leicester LE1 7RH, UK; National Institute for Health Research (NIHR) Leicester Respiratory Biomedical Research Unit, Glenfield Hospital, Leicester LE3 9QP, UK
| | - Nicholas J Wareham
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge CB2 0QQ, UK
| | | | | | - Paul Burton
- D2K Research Group, School of Social and Community Medicine, University of Bristol, Bristol BS8 2BN, UK
| | - John C Chambers
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London W2 1PG, UK; Department of Cardiology, Ealing Hospital NHS Trust, Middlesex UB1 3EU, UK; Imperial College Healthcare NHS Trust, London W2 1NY, UK
| | - George Davey Smith
- MRC Integrative Epidemiology Unit, School of Social and Community Medicine, University of Bristol, Bristol BS8 2BN, UK
| | - George Dedoussis
- Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, Athens 17671, Greece
| | - Janine F Felix
- The Generation R Study Group, Erasmus Medical Center, University Medical Center, Rotterdam 3000 CA, the Netherlands; Department of Epidemiology, Erasmus Medical Center, University Medical Center, Rotterdam 3000 CA, the Netherlands; Department of Pediatrics, Erasmus Medical Center, University Medical Center, Rotterdam 3000 CA, the Netherlands
| | - Oscar H Franco
- Department of Epidemiology, Erasmus Medical Center, University Medical Center, Rotterdam 3000 CA, the Netherlands
| | - Giovanni Gambaro
- Division of Nephrology and Dialysis, Columbus-Gemelli University Hospital, Catholic University, Rome 00168, Italy
| | - Paolo Gasparini
- Department of Medical, Surgical and Health Sciences, University of Trieste, Trieste 34100, Italy; Medical Genetics, Institute for Maternal and Child Health IRCCS "Burlo Garofolo", Trieste 34100, Italy
| | - Christopher J Hammond
- Department of Twin Research and Genetic Epidemiology, King's College London, London SE1 7EH, UK
| | - Albert Hofman
- Department of Epidemiology, Erasmus Medical Center, University Medical Center, Rotterdam 3000 CA, the Netherlands
| | - Vincent W V Jaddoe
- The Generation R Study Group, Erasmus Medical Center, University Medical Center, Rotterdam 3000 CA, the Netherlands; Department of Epidemiology, Erasmus Medical Center, University Medical Center, Rotterdam 3000 CA, the Netherlands; Department of Pediatrics, Erasmus Medical Center, University Medical Center, Rotterdam 3000 CA, the Netherlands
| | - Marcus Kleber
- Vth Department of Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim 68167, Germany
| | - Jaspal S Kooner
- Department of Cardiology, Ealing Hospital NHS Trust, Middlesex UB1 3EU, UK; Imperial College Healthcare NHS Trust, London W2 1NY, UK; National Heart and Lung Institute, Imperial College London, Hammersmith Hospital Campus, London W12 0NN, UK
| | - Markus Perola
- Department of Health, National Institute for Health and Welfare, Helsinki 00271, Finland; Estonian Genome Center, University of Tartu, Tartu, Tartumaa 51010, Estonia; Institute for Molecular Medicine (FIMM), University of Helsinki, Helsinki 00290, Finland
| | - Caroline Relton
- MRC Integrative Epidemiology Unit, School of Social and Community Medicine, University of Bristol, Bristol BS8 2BN, UK
| | - Susan M Ring
- MRC Integrative Epidemiology Unit, School of Social and Community Medicine, University of Bristol, Bristol BS8 2BN, UK
| | - Fernando Rivadeneira
- Department of Epidemiology, Erasmus Medical Center, University Medical Center, Rotterdam 3000 CA, the Netherlands; Department of Internal Medicine, Erasmus Medical Center, University Medical Center, Rotterdam 3000 CA, the Netherlands
| | - Veikko Salomaa
- Department of Health, National Institute for Health and Welfare, Helsinki 00271, Finland
| | - Timothy D Spector
- Department of Twin Research and Genetic Epidemiology, King's College London, London SE1 7EH, UK
| | - Oliver Stegle
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton CB10 1SD, UK
| | - Daniela Toniolo
- Division of Genetics and Cell Biology, San Raffaele Scientific Institute, Milan 20132, Italy
| | - André G Uitterlinden
- Department of Epidemiology, Erasmus Medical Center, University Medical Center, Rotterdam 3000 CA, the Netherlands; Department of Internal Medicine, Erasmus Medical Center, University Medical Center, Rotterdam 3000 CA, the Netherlands
| | | | | | | | - Inês Barroso
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton CB10 1SA, UK; University of Cambridge Metabolic Research Laboratories, and NIHR Cambridge Biomedical Research Centre, Wellcome Trust-MRC Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge CB2 0QQ, UK
| | - Celia M T Greenwood
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, QC H3T 1E2, Canada; Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, QC H3A 1A2, Canada; Department of Oncology, McGill University, Montréal, QC H2W 1S6, Canada
| | - John R B Perry
- Department of Twin Research and Genetic Epidemiology, King's College London, London SE1 7EH, UK; MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge CB2 0QQ, UK
| | - Brian R Walker
- BHF Centre for Cardiovascular Science, Queen's Medical Research Institute, University of Edinburgh, Edinburgh EH16 4TJ, UK
| | - Adam S Butterworth
- Cardiovascular Epidemiology Unit, Department of Public Health & Primary Care, University of Cambridge, Cambridge CB1 8RN, UK; The National Institute for Health Research Blood and Transplant Unit (NIHR BTRU) in Donor Health and Genomics at the University of Cambridge, Cambridge CB1 8RN, UK
| | - Yali Xue
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton CB10 1SA, UK
| | - Richard Durbin
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton CB10 1SA, UK
| | - Kerrin S Small
- Department of Twin Research and Genetic Epidemiology, King's College London, London SE1 7EH, UK
| | - Nicole Soranzo
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton CB10 1SA, UK; The National Institute for Health Research Blood and Transplant Unit (NIHR BTRU) in Donor Health and Genomics at the University of Cambridge, Cambridge CB1 8RN, UK; Department of Haematology, University of Cambridge, Cambridge CB2 0AH, UK
| | - Nicholas J Timpson
- MRC Integrative Epidemiology Unit, School of Social and Community Medicine, University of Bristol, Bristol BS8 2BN, UK
| | - Eleftheria Zeggini
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton CB10 1SA, UK.
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Talbot J, Maves L. Skeletal muscle fiber type: using insights from muscle developmental biology to dissect targets for susceptibility and resistance to muscle disease. WILEY INTERDISCIPLINARY REVIEWS-DEVELOPMENTAL BIOLOGY 2016; 5:518-34. [PMID: 27199166 DOI: 10.1002/wdev.230] [Citation(s) in RCA: 214] [Impact Index Per Article: 26.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/13/2015] [Revised: 01/14/2016] [Accepted: 01/16/2016] [Indexed: 12/13/2022]
Abstract
Skeletal muscle fibers are classified into fiber types, in particular, slow twitch versus fast twitch. Muscle fiber types are generally defined by the particular myosin heavy chain isoforms that they express, but many other components contribute to a fiber's physiological characteristics. Skeletal muscle fiber type can have a profound impact on muscle diseases, including certain muscular dystrophies and sarcopenia, the aging-induced loss of muscle mass and strength. These findings suggest that some muscle diseases may be treated by shifting fiber type characteristics either from slow to fast, or fast to slow phenotypes, depending on the disease. Recent studies have begun to address which components of muscle fiber types mediate their susceptibility or resistance to muscle disease. However, for many diseases it remains largely unclear why certain fiber types are affected. A substantial body of work has revealed molecular pathways that regulate muscle fiber type plasticity and early developmental muscle fiber identity. For instance, recent studies have revealed many factors that regulate muscle fiber type through modulating the activity of the muscle regulatory transcription factor MYOD1. Future studies of muscle fiber type development in animal models will continue to enhance our understanding of factors and pathways that may provide therapeutic targets to treat muscle diseases. WIREs Dev Biol 2016, 5:518-534. doi: 10.1002/wdev.230 For further resources related to this article, please visit the WIREs website.
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Affiliation(s)
- Jared Talbot
- Department of Molecular Genetics, The Ohio State University, Columbus, OH, USA
| | - Lisa Maves
- Center for Developmental Biology and Regenerative Medicine, Seattle Children's Research Institute, Seattle, WA, USA.,Department of Pediatrics, University of Washington, Seattle, WA, USA
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Ansseau E, Eidahl JO, Lancelot C, Tassin A, Matteotti C, Yip C, Liu J, Leroy B, Hubeau C, Gerbaux C, Cloet S, Wauters A, Zorbo S, Meyer P, Pirson I, Laoudj-Chenivesse D, Wattiez R, Harper SQ, Belayew A, Coppée F. Homologous Transcription Factors DUX4 and DUX4c Associate with Cytoplasmic Proteins during Muscle Differentiation. PLoS One 2016; 11:e0146893. [PMID: 26816005 PMCID: PMC4729438 DOI: 10.1371/journal.pone.0146893] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2015] [Accepted: 12/24/2015] [Indexed: 12/26/2022] Open
Abstract
Hundreds of double homeobox (DUX) genes map within 3.3-kb repeated elements dispersed in the human genome and encode DNA-binding proteins. Among these, we identified DUX4, a potent transcription factor that causes facioscapulohumeral muscular dystrophy (FSHD). In the present study, we performed yeast two-hybrid screens and protein co-purifications with HaloTag-DUX fusions or GST-DUX4 pull-down to identify protein partners of DUX4, DUX4c (which is identical to DUX4 except for the end of the carboxyl terminal domain) and DUX1 (which is limited to the double homeodomain). Unexpectedly, we identified and validated (by co-immunoprecipitation, GST pull-down, co-immunofluorescence and in situ Proximal Ligation Assay) the interaction of DUX4, DUX4c and DUX1 with type III intermediate filament protein desmin in the cytoplasm and at the nuclear periphery. Desmin filaments link adjacent sarcomere at the Z-discs, connect them to sarcolemma proteins and interact with mitochondria. These intermediate filament also contact the nuclear lamina and contribute to positioning of the nuclei. Another Z-disc protein, LMCD1 that contains a LIM domain was also validated as a DUX4 partner. The functionality of DUX4 or DUX4c interactions with cytoplasmic proteins is underscored by the cytoplasmic detection of DUX4/DUX4c upon myoblast fusion. In addition, we identified and validated (by co-immunoprecipitation, co-immunofluorescence and in situ Proximal Ligation Assay) as DUX4/4c partners several RNA-binding proteins such as C1QBP, SRSF9, RBM3, FUS/TLS and SFPQ that are involved in mRNA splicing and translation. FUS and SFPQ are nuclear proteins, however their cytoplasmic translocation was reported in neuronal cells where they associated with ribonucleoparticles (RNPs). Several other validated or identified DUX4/DUX4c partners are also contained in mRNP granules, and the co-localizations with cytoplasmic DAPI-positive spots is in keeping with such an association. Large muscle RNPs were recently shown to exit the nucleus via a novel mechanism of nuclear envelope budding. Following DUX4 or DUX4c overexpression in muscle cell cultures, we observed their association with similar nuclear buds. In conclusion, our study demonstrated unexpected interactions of DUX4/4c with cytoplasmic proteins playing major roles during muscle differentiation. Further investigations are on-going to evaluate whether these interactions play roles during muscle regeneration as previously suggested for DUX4c.
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Affiliation(s)
- Eugénie Ansseau
- Laboratory of Molecular Biology, Research Institute for Health Sciences and Technology, University of Mons, Mons, Belgium
| | - Jocelyn O. Eidahl
- Center for Gene Therapy, Research Institute at Nationwide Children's Hospital, Columbus, OH, United States of America
| | - Céline Lancelot
- Laboratory of Molecular Biology, Research Institute for Health Sciences and Technology, University of Mons, Mons, Belgium
| | - Alexandra Tassin
- Laboratory of Molecular Biology, Research Institute for Health Sciences and Technology, University of Mons, Mons, Belgium
| | - Christel Matteotti
- Laboratory of Molecular Biology, Research Institute for Health Sciences and Technology, University of Mons, Mons, Belgium
| | - Cassandre Yip
- Laboratory of Molecular Biology, Research Institute for Health Sciences and Technology, University of Mons, Mons, Belgium
| | - Jian Liu
- Center for Gene Therapy, Research Institute at Nationwide Children's Hospital, Columbus, OH, United States of America
| | - Baptiste Leroy
- Laboratory of Proteomic and Microbiology, Research Institute for Biosciences, University of Mons, Mons, Belgium
| | - Céline Hubeau
- Laboratory of Molecular Biology, Research Institute for Health Sciences and Technology, University of Mons, Mons, Belgium
| | - Cécile Gerbaux
- Laboratory of Molecular Biology, Research Institute for Health Sciences and Technology, University of Mons, Mons, Belgium
| | - Samuel Cloet
- Laboratory of Molecular Biology, Research Institute for Health Sciences and Technology, University of Mons, Mons, Belgium
| | - Armelle Wauters
- Laboratory of Molecular Biology, Research Institute for Health Sciences and Technology, University of Mons, Mons, Belgium
| | - Sabrina Zorbo
- Laboratory of Molecular Biology, Research Institute for Health Sciences and Technology, University of Mons, Mons, Belgium
| | - Pierre Meyer
- Pediatric Department, CHRU Montpellier, Montpellier, France
| | - Isabelle Pirson
- I.R.I.B.H.M., Free University of Brussels, Brussels, Belgium
| | | | - Ruddy Wattiez
- Laboratory of Proteomic and Microbiology, Research Institute for Biosciences, University of Mons, Mons, Belgium
| | - Scott Q. Harper
- Center for Gene Therapy, Research Institute at Nationwide Children's Hospital, Columbus, OH, United States of America
- Department of Pediatrics, Ohio State University College of Medicine, Columbus, OH, United States of America
| | - Alexandra Belayew
- Laboratory of Molecular Biology, Research Institute for Health Sciences and Technology, University of Mons, Mons, Belgium
| | - Frédérique Coppée
- Laboratory of Molecular Biology, Research Institute for Health Sciences and Technology, University of Mons, Mons, Belgium
- * E-mail:
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Zhang Y, Li W, Zhu M, Li Y, Xu Z, Zuo B. FHL3 differentially regulates the expression of MyHC isoforms through interactions with MyoD and pCREB. Cell Signal 2015; 28:60-73. [PMID: 26499038 DOI: 10.1016/j.cellsig.2015.10.008] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2015] [Revised: 10/09/2015] [Accepted: 10/19/2015] [Indexed: 12/24/2022]
Abstract
In skeletal muscle, muscle fiber types are defined by four adult myosin heavy chain (MyHC) isoforms. Four and a half LIM domain protein 3 (FHL3) regulates myoblasts differentiation and gene expression by acting as a transcriptional co-activator or co-repressor. However, how FHL3 regulates MyHC expression is currently not clear. In this study, we found that FHL3 down-regulated the expression of MyHC 1/slow and up-regulated the expression of MyHC 2a and MyHC 2b, whereas no significant effect was found on MyHC 2x expression. MyoD and phosphorylated cAMP response element binding protein (pCREB) played important roles in the regulation of MyHC 1/slow and MyHC 2a expression by FHL3, respectively. FHL3 could interact with MyoD, CREB and pCREB in vivo. pCREB had stronger interaction with the cyclic AMP-responsive elements (CRE) of the MyHC 2a promoter compared with CREB, and FHL3 significantly affected the binding capacity of pCREB to CRE. We established a model in which FHL3 promotes the expression of MyHC 2a through CREB-mediated transcription and inhibits the expression of MyHC 1/slow by inhibiting MyoD transcription activity during myogenesis. Our data support the notion that FHL3 plays important roles in the regulation of muscle fiber type composition.
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Affiliation(s)
- Yunxia Zhang
- Key Laboratory of Swine Genetics and Breeding, Ministry of Agriculture and Key Lab of Agricultural Animal Genetics and Breeding, Ministry of Education, College of Animal Science and Veterinary Medicine, Huazhong Agricultural University, Wuhan, 430070, PR China
| | - Wentao Li
- Key Laboratory of Swine Genetics and Breeding, Ministry of Agriculture and Key Lab of Agricultural Animal Genetics and Breeding, Ministry of Education, College of Animal Science and Veterinary Medicine, Huazhong Agricultural University, Wuhan, 430070, PR China
| | - Mingfei Zhu
- Key Laboratory of Swine Genetics and Breeding, Ministry of Agriculture and Key Lab of Agricultural Animal Genetics and Breeding, Ministry of Education, College of Animal Science and Veterinary Medicine, Huazhong Agricultural University, Wuhan, 430070, PR China
| | - Yuan Li
- Key Laboratory of Swine Genetics and Breeding, Ministry of Agriculture and Key Lab of Agricultural Animal Genetics and Breeding, Ministry of Education, College of Animal Science and Veterinary Medicine, Huazhong Agricultural University, Wuhan, 430070, PR China
| | - Zaiyan Xu
- Key Laboratory of Swine Genetics and Breeding, Ministry of Agriculture and Key Lab of Agricultural Animal Genetics and Breeding, Ministry of Education, College of Animal Science and Veterinary Medicine, Huazhong Agricultural University, Wuhan, 430070, PR China.
| | - Bo Zuo
- Key Laboratory of Swine Genetics and Breeding, Ministry of Agriculture and Key Lab of Agricultural Animal Genetics and Breeding, Ministry of Education, College of Animal Science and Veterinary Medicine, Huazhong Agricultural University, Wuhan, 430070, PR China.
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RNA sequencing reveals a slow to fast muscle fiber type transition after olanzapine infusion in rats. PLoS One 2015; 10:e0123966. [PMID: 25893406 PMCID: PMC4404103 DOI: 10.1371/journal.pone.0123966] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2014] [Accepted: 03/02/2015] [Indexed: 11/19/2022] Open
Abstract
Second generation antipsychotics (SGAs), like olanzapine, exhibit acute metabolic side effects leading to metabolic inflexibility, hyperglycemia, adiposity and diabetes. Understanding how SGAs affect the skeletal muscle transcriptome could elucidate approaches for mitigating these side effects. Male Sprague-Dawley rats were infused intravenously with vehicle or olanzapine for 24h using a dose leading to a mild hyperglycemia. RNA-Seq was performed on gastrocnemius muscle, followed by alignment of the data with the Rat Genome Assembly 5.0. Olanzapine altered expression of 1347 out of 26407 genes. Genes encoding skeletal muscle fiber-type specific sarcomeric, ion channel, glycolytic, O2- and Ca2+-handling, TCA cycle, vascularization and lipid oxidation proteins and pathways, along with NADH shuttles and LDH isoforms were affected. Bioinformatics analyses indicate that olanzapine decreased the expression of slower and more oxidative fiber type genes (e.g., type 1), while up regulating those for the most glycolytic and least metabolically flexible, fast twitch fiber type, IIb. Protein turnover genes, necessary to bring about transition, were also up regulated. Potential upstream regulators were also identified. Olanzapine appears to be rapidly affecting the muscle transcriptome to bring about a change to a fast-glycolytic fiber type. Such fiber types are more susceptible than slow muscle to atrophy, and such transitions are observed in chronic metabolic diseases. Thus these effects could contribute to the altered body composition and metabolic disease olanzapine causes. A potential interventional strategy is implicated because aerobic exercise, in contrast to resistance exercise, can oppose such slow to fast fiber transitions.
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Law C, Cheung P. Expression of Non-acetylatable H2A.Z in Myoblast Cells Blocks Myoblast Differentiation through Disruption of MyoD Expression. J Biol Chem 2015; 290:13234-49. [PMID: 25839232 DOI: 10.1074/jbc.m114.595462] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2014] [Indexed: 11/06/2022] Open
Abstract
H2A.Z is a histone H2A variant that is essential for viability in Tetrahymena and Drosophila and also during embryonic development of mice. Although implicated in diverse cellular processes, including transcriptional regulation, chromosome segregation, and heterochromatin formation, its essential function in cells remains unknown. Cellular differentiation is part of the developmental process of multicellular organisms. To elucidate the roles of H2A.Z and H2A.Z acetylation in cellular differentiation, we examined the effects of expressing wild type (WT) or a non-acetylatable form of H2A.Z in the growth and differentiation of the myoblast C2C12 cell line. Ectopic expression of wild type or mutant H2A.Z resulted in distinct phenotypes in the differentiation of the C2C12 cells and the formation of myotubes. Most strikingly, expression of the H2A.Z non-acetylatable mutant (H2A.Z-Ac-mut) resulted in a complete block of myoblast differentiation. We determined that this phenotype is caused by a loss of MyoD expression in the Ac-mut-expressing cells prior to and after induction of differentiation. Moreover, chromatin accessibility assays showed that the promoter region of MyoD is less accessible in the differentiation-defective cells. Altogether, these new findings show that expression of the Ac-mut form of H2A.Z resulted in a dominant phenotype that blocked differentiation due to chromatin changes at the MyoD promoter.
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Affiliation(s)
- Cindy Law
- From the Department of Medical Biophysics, University of Toronto, Ontario M5G 1L7, Canada and
| | - Peter Cheung
- From the Department of Medical Biophysics, University of Toronto, Ontario M5G 1L7, Canada and the Department of Biology, York University, Toronto, Ontario M3J 1P3, Canada
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22
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Feeney SJ, McGrath MJ, Sriratana A, Gehrig SM, Lynch GS, D’Arcy CE, Price JT, McLean CA, Tupler R, Mitchell CA. FHL1 reduces dystrophy in transgenic mice overexpressing FSHD muscular dystrophy region gene 1 (FRG1). PLoS One 2015; 10:e0117665. [PMID: 25695429 PMCID: PMC4335040 DOI: 10.1371/journal.pone.0117665] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2014] [Accepted: 12/29/2014] [Indexed: 01/01/2023] Open
Abstract
Facioscapulohumeral muscular dystrophy (FSHD) is an autosomal-dominant disease with no effective treatment. The genetic cause of FSHD is complex and the primary pathogenic insult underlying the muscle disease is unknown. Several disease candidate genes have been proposed including DUX4 and FRG1. Expression analysis studies of FSHD report the deregulation of genes which mediate myoblast differentiation and fusion. Transgenic mice overexpressing FRG1 recapitulate the FSHD muscular dystrophy phenotype. Our current study selectively examines how increased expression of FRG1 may contribute to myoblast differentiation defects. We generated stable C2C12 cell lines overexpressing FRG1, which exhibited a myoblast fusion defect upon differentiation. To determine if myoblast fusion defects contribute to the FRG1 mouse dystrophic phenotype, this strain was crossed with skeletal muscle specific FHL1-transgenic mice. We previously reported that FHL1 promotes myoblast fusion in vitro and FHL1-transgenic mice develop skeletal muscle hypertrophy. In the current study, FRG1 mice overexpressing FHL1 showed an improvement in the dystrophic phenotype, including a reduced spinal kyphosis, increased muscle mass and myofiber size, and decreased muscle fibrosis. FHL1 expression in FRG1 mice, did not alter satellite cell number or activation, but enhanced myoblast fusion. Primary myoblasts isolated from FRG1 mice showed a myoblast fusion defect that was rescued by FHL1 expression. Therefore, increased FRG1 expression may contribute to a muscular dystrophy phenotype resembling FSHD by impairing myoblast fusion, a defect that can be rescued by enhanced myoblast fusion via expression of FHL1.
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Affiliation(s)
- Sandra J. Feeney
- Department of Biochemistry & Molecular Biology, Monash University, Clayton, Victoria, 3800, Australia
| | - Meagan J. McGrath
- Department of Biochemistry & Molecular Biology, Monash University, Clayton, Victoria, 3800, Australia
| | - Absorn Sriratana
- Department of Biochemistry & Molecular Biology, Monash University, Clayton, Victoria, 3800, Australia
| | - Stefan M. Gehrig
- Basic and Clinical Myology Laboratory, Department of Physiology, The University of Melbourne, Victoria, 3010, Australia
| | - Gordon S. Lynch
- Basic and Clinical Myology Laboratory, Department of Physiology, The University of Melbourne, Victoria, 3010, Australia
| | - Colleen E. D’Arcy
- Department of Biochemistry & Molecular Biology, Monash University, Clayton, Victoria, 3800, Australia
| | - John T. Price
- Department of Biochemistry & Molecular Biology, Monash University, Clayton, Victoria, 3800, Australia
- Centre for Chronic Disease Prevention and Management, College of Health and Biomedicine, Victoria University, Melbourne, Victoria, 8001, Australia
| | - Catriona A. McLean
- Department of Anatomical Pathology, Alfred Hospital, Prahran, Victoria, 3004, Australia
- Department of Medicine, Central Clinical School, Monash University, Clayton, VIC, 3800, Australia
| | - Rossella Tupler
- Program in Gene Function and Expression, University of Massachusetts Medical School, Worcester, MA, 01655, United States of America
- Dipartimento di Scienze della Vita, Universita di Modena e Reggio Emilia, 41125, Modena, Italy
| | - Christina A. Mitchell
- Department of Biochemistry & Molecular Biology, Monash University, Clayton, Victoria, 3800, Australia
- * E-mail:
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Gueugneau M, Coudy-Gandilhon C, Gourbeyre O, Chambon C, Combaret L, Polge C, Taillandier D, Attaix D, Friguet B, Maier AB, Butler-Browne G, Béchet D. Proteomics of muscle chronological ageing in post-menopausal women. BMC Genomics 2014; 15:1165. [PMID: 25532418 PMCID: PMC4523020 DOI: 10.1186/1471-2164-15-1165] [Citation(s) in RCA: 57] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2014] [Accepted: 12/16/2014] [Indexed: 12/18/2022] Open
Abstract
Background Muscle ageing contributes to both loss of functional autonomy and increased morbidity. Muscle atrophy accelerates after 50 years of age, but the mechanisms involved are complex and likely result from the alteration of a variety of interrelated functions. In order to better understand the molecular mechanisms underlying muscle chronological ageing in human, we have undertaken a top-down differential proteomic approach to identify novel biomarkers after the fifth decade of age. Results Muscle samples were compared between adult (56 years) and old (78 years) post-menopausal women. In addition to total muscle extracts, low-ionic strength extracts were investigated to remove high abundance myofibrillar proteins and improve the detection of low abundance proteins. Two-dimensional gel electrophoreses with overlapping IPGs were used to improve the separation of muscle proteins. Overall, 1919 protein spots were matched between all individuals, 95 were differentially expressed and identified by mass spectrometry, and they corresponded to 67 different proteins. Our results suggested important modifications in cytosolic, mitochondrial and lipid energy metabolism, which may relate to dysfunctions in old muscle force generation. A fraction of the differentially expressed proteins were linked to the sarcomere and cytoskeleton (myosin light-chains, troponin T, ankyrin repeat domain-containing protein-2, vinculin, four and a half LIM domain protein-3), which may account for alterations in contractile properties. In line with muscle contraction, we also identified proteins related to calcium signal transduction (calsequestrin-1, sarcalumenin, myozenin-1, annexins). Muscle ageing was further characterized by the differential regulation of several proteins implicated in cytoprotection (catalase, peroxiredoxins), ion homeostasis (carbonic anhydrases, selenium-binding protein 1) and detoxification (aldo-keto reductases, aldehyde dehydrogenases). Notably, many of the differentially expressed proteins were central for proteostasis, including heat shock proteins and proteins involved in proteolysis (valosin-containing protein, proteasome subunit beta type-4, mitochondrial elongation factor-Tu). Conclusions This study describes the most extensive proteomic analysis of muscle ageing in humans, and identified 34 new potential biomarkers. None of them were previously recognized as differentially expressed in old muscles, and each may represent a novel starting point to elucidate the mechanisms of muscle chronological ageing in humans.
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Affiliation(s)
- Marine Gueugneau
- INRA, UMR 1019, Centre de Recherche en Nutrition Humaine, Université d'Auvergne, F-63122, Saint Genès Champanelle, France. .,Clermont Université, Université d'Auvergne, F-63000, Clermont-Ferrand, France. .,Pôle Endocrinologie, Diabétologie et Nutrition, Institut de Recherches Expérimentales et Cliniques, Université Catholique de Louvain, B-1200, Brussels, Belgium.
| | - Cécile Coudy-Gandilhon
- INRA, UMR 1019, Centre de Recherche en Nutrition Humaine, Université d'Auvergne, F-63122, Saint Genès Champanelle, France. .,Clermont Université, Université d'Auvergne, F-63000, Clermont-Ferrand, France.
| | - Ophélie Gourbeyre
- INRA, UMR 1019, Centre de Recherche en Nutrition Humaine, Université d'Auvergne, F-63122, Saint Genès Champanelle, France. .,Clermont Université, Université d'Auvergne, F-63000, Clermont-Ferrand, France.
| | - Christophe Chambon
- INRA, Plateforme d'Exploration du Métabolisme, Composante Protéique, F-63122, Saint Genès Champanelle, France.
| | - Lydie Combaret
- INRA, UMR 1019, Centre de Recherche en Nutrition Humaine, Université d'Auvergne, F-63122, Saint Genès Champanelle, France. .,Clermont Université, Université d'Auvergne, F-63000, Clermont-Ferrand, France.
| | - Cécile Polge
- INRA, UMR 1019, Centre de Recherche en Nutrition Humaine, Université d'Auvergne, F-63122, Saint Genès Champanelle, France. .,Clermont Université, Université d'Auvergne, F-63000, Clermont-Ferrand, France.
| | - Daniel Taillandier
- INRA, UMR 1019, Centre de Recherche en Nutrition Humaine, Université d'Auvergne, F-63122, Saint Genès Champanelle, France. .,Clermont Université, Université d'Auvergne, F-63000, Clermont-Ferrand, France.
| | - Didier Attaix
- INRA, UMR 1019, Centre de Recherche en Nutrition Humaine, Université d'Auvergne, F-63122, Saint Genès Champanelle, France. .,Clermont Université, Université d'Auvergne, F-63000, Clermont-Ferrand, France.
| | - Bertrand Friguet
- UPMC Université Paris 06, UMR 8256, Biological Adaptation and Ageing - IBPS, CNRS-UMR 8256, INSERM U1164, Sorbonne Universités, F-75005, Paris, France.
| | - Andrea B Maier
- Department of Internal Medicine, Section of Gerontology and Geriatrics, VU University Medical Center, Amsterdam, The Netherlands.
| | - Gillian Butler-Browne
- Institut de Myologie, Centre de Recherches en Myologie UMR 974 76, INSERM U974, CNRS FRE 3617, Sorbonne Universités, UPMC Université Paris 06, F-75013, Paris, France.
| | - Daniel Béchet
- INRA, UMR 1019, Centre de Recherche en Nutrition Humaine, Université d'Auvergne, F-63122, Saint Genès Champanelle, France. .,Clermont Université, Université d'Auvergne, F-63000, Clermont-Ferrand, France.
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24
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Cottle DL, Ursino GMA, Ip SCI, Jones LK, Ditommaso T, Hacking DF, Mangan NE, Mellett NA, Henley KJ, Sviridov D, Nold-Petry CA, Nold MF, Meikle PJ, Kile BT, Smyth IM. Fetal inhibition of inflammation improves disease phenotypes in harlequin ichthyosis. Hum Mol Genet 2014; 24:436-49. [PMID: 25209981 DOI: 10.1093/hmg/ddu459] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
Harlequin ichthyosis (HI) is a severe skin disease which leads to neonatal death in ∼50% of cases. It is the result of mutations in ABCA12, a protein that transports lipids required to establish the protective skin barrier needed after birth. To better understand the life-threatening newborn HI phenotype, we analysed the developing epidermis for consequences of lipid dysregulation in mouse models. We observed a pro-inflammatory signature which was characterized by chemokine upregulation in embryonic skin which is distinct from that seen in other types of ichthyosis. Inflammation also persisted in grafted HI skin. To examine the contribution of inflammation to disease development, we overexpressed interleukin-37b to globally suppress fetal inflammation, observing considerable improvements in keratinocyte differentiation. These studies highlight inflammation as an unexpected contributor to HI disease development in utero, and suggest that inhibiting inflammation may reduce disease severity.
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Affiliation(s)
| | | | | | | | | | - Douglas F Hacking
- Department of Anaesthetics, Saint Vincent's Hospital Melbourne, 41 Victoria Parade, Fitzroy, VIC 3065, Australia Department of Paediatric Intensive Care, The Royal Children's Hospital, Melbourne, VIC, Australia
| | | | - Natalie A Mellett
- Baker IDI Heart and Diabetes Institute, 75 Commercial Road, Melbourne, VIC 3004, Australia
| | - Katya J Henley
- Walter and Eliza Hall Institute, 1G Royal Parade, Parkville, VIC 3052, Australia
| | - Dmitri Sviridov
- Baker IDI Heart and Diabetes Institute, 75 Commercial Road, Melbourne, VIC 3004, Australia
| | - Claudia A Nold-Petry
- The Ritchie Centre, MIMR-PHI Institute of Medical Research, 27-31 Wright Street, Clayton, VIC 3168, Australia
| | - Marcel F Nold
- The Ritchie Centre, MIMR-PHI Institute of Medical Research, 27-31 Wright Street, Clayton, VIC 3168, Australia
| | - Peter J Meikle
- Baker IDI Heart and Diabetes Institute, 75 Commercial Road, Melbourne, VIC 3004, Australia
| | - Benjamin T Kile
- Walter and Eliza Hall Institute, 1G Royal Parade, Parkville, VIC 3052, Australia Department of Medical Biology, University of Melbourne, Parkville, VIC 3010, Australia and
| | - Ian M Smyth
- Department of Biochemistry and Molecular Biology Department of Anatomy and Developmental Biology, Monash University, Wellington Road, Clayton, VIC 3800, Australia
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25
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Artificial neural network inference (ANNI): a study on gene-gene interaction for biomarkers in childhood sarcomas. PLoS One 2014; 9:e102483. [PMID: 25025207 PMCID: PMC4099183 DOI: 10.1371/journal.pone.0102483] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2014] [Accepted: 06/19/2014] [Indexed: 01/31/2023] Open
Abstract
Objective To model the potential interaction between previously identified biomarkers in children sarcomas using artificial neural network inference (ANNI). Method To concisely demonstrate the biological interactions between correlated genes in an interaction network map, only 2 types of sarcomas in the children small round blue cell tumors (SRBCTs) dataset are discussed in this paper. A backpropagation neural network was used to model the potential interaction between genes. The prediction weights and signal directions were used to model the strengths of the interaction signals and the direction of the interaction link between genes. The ANN model was validated using Monte Carlo cross-validation to minimize the risk of over-fitting and to optimize generalization ability of the model. Results Strong connection links on certain genes (TNNT1 and FNDC5 in rhabdomyosarcoma (RMS); FCGRT and OLFM1 in Ewing’s sarcoma (EWS)) suggested their potency as central hubs in the interconnection of genes with different functionalities. The results showed that the RMS patients in this dataset are likely to be congenital and at low risk of cardiomyopathy development. The EWS patients are likely to be complicated by EWS-FLI fusion and deficiency in various signaling pathways, including Wnt, Fas/Rho and intracellular oxygen. Conclusions The ANN network inference approach and the examination of identified genes in the published literature within the context of the disease highlights the substantial influence of certain genes in sarcomas.
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26
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Cai X, Wang J, Huang X, Fu W, Xia W, Zou M, Wang Y, Wang J, Xu D. Identification and characterization of MT-1X as a novel FHL3-binding partner. PLoS One 2014; 9:e93723. [PMID: 24690879 PMCID: PMC3972135 DOI: 10.1371/journal.pone.0093723] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2013] [Accepted: 03/06/2014] [Indexed: 11/20/2022] Open
Abstract
Four and a half LIM domain protein 3 (FHL3) is a member of the FHL protein family that plays roles in the regulation of cell survival, cell adhesion and signal transduction. However, the mechanism of action for FHL3 is not yet clear. The aim of present study was to identify novel binding partner of FHL3 and to explore the underlying mechanism. With the use of yeast two-hybrid screening system, FHL3 was used as the bait to screen human fetal hepatic cDNA library for interacting proteins. Methionine-1X was identified as a novel FHL3 binding partner. The interaction between FHL3 and the full length MT-1X was further confirmed by yeast two-hybrid assay, co-immunoprecipitation and GST pull-down assays. Furthermore,the result demonstrated that MT-1X knockdown promoted the FHL3-induced inhibitory effect on HepG2 cells by regulating FHL3-mediated Smad signaling and involving in the modulation the expression of G2/M phase-related proteins through interaction with FHL3. These findings suggest that functional interactions between FHL3 and MT-1X may provide some clues to the mechanisms of FHL3-regulated cell proliferation.
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Affiliation(s)
- Xin Cai
- Laboratory of Genome Engineering, Beijing Institute of Basic Medical Sciences, Beijing, PR China
| | - JinFeng Wang
- Laboratory of Genome Engineering, Beijing Institute of Basic Medical Sciences, Beijing, PR China
| | - Xin Huang
- Laboratory of Genome Engineering, Beijing Institute of Basic Medical Sciences, Beijing, PR China
| | - Wenliang Fu
- Laboratory of Genome Engineering, Beijing Institute of Basic Medical Sciences, Beijing, PR China
| | - Wenrong Xia
- Laboratory of Genome Engineering, Beijing Institute of Basic Medical Sciences, Beijing, PR China
| | - Minji Zou
- Laboratory of Genome Engineering, Beijing Institute of Basic Medical Sciences, Beijing, PR China
| | - YuanYuan Wang
- Laboratory of Genome Engineering, Beijing Institute of Basic Medical Sciences, Beijing, PR China
| | - Jiaxi Wang
- Laboratory of Genome Engineering, Beijing Institute of Basic Medical Sciences, Beijing, PR China
| | - Donggang Xu
- Laboratory of Genome Engineering, Beijing Institute of Basic Medical Sciences, Beijing, PR China
- * E-mail:
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Wiradjaja F, Cottle DL, Jones L, Smyth I. Regulation of PDGFC signalling and extracellular matrix composition by FREM1 in mice. Dis Model Mech 2013; 6:1426-33. [PMID: 24046351 PMCID: PMC3820265 DOI: 10.1242/dmm.013748] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Fras1-related extracellular matrix protein 1 (FREM1) is required for epidermal adhesion during embryogenesis, and mice lacking the gene develop fetal skin blisters and a range of other developmental defects. Mutations in members of the FRAS/FREM gene family cause diseases of the Fraser syndrome spectrum. Embryonic epidermal blistering is also observed in mice lacking PdgfC and its receptor, PDGFRα. In this article, we show that FREM1 binds to PDGFC and that this interaction regulates signalling downstream of PDGFRα. Fibroblasts from Frem1-mutant mice respond to PDGFC stimulation, but with a shorter duration and amplitude than do wild-type cells. Significantly, PDGFC-stimulated expression of the metalloproteinase inhibitor Timp1 is reduced in cells with Frem1 mutations, leading to reduced basement membrane collagen I deposition. These results show that the physical interaction of FREM1 with PDGFC can regulate remodelling of the extracellular matrix downstream of PDGFRα. We propose that loss of FREM1 function promotes epidermal blistering in Fraser syndrome as a consequence of reduced PDGFC activity, in addition to its stabilising role in the basement membrane.
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Affiliation(s)
- Fenny Wiradjaja
- Department of Biochemistry and Molecular Biology, Monash University, Wellington Road, Clayton, Victoria 3800, Australia
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28
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The four and a half LIM family members are novel interactants of the human T-cell leukemia virus type 1 Tax oncoprotein. J Virol 2013; 87:7435-44. [PMID: 23616667 DOI: 10.1128/jvi.00070-13] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023] Open
Abstract
Human T-cell leukemia virus type 1 (HTLV-1) is the etiologic agent of adult T-cell leukemia (ATL). The viral regulatory protein Tax1 plays a pivotal role in T-cell transformation and ATL development. Previous studies in our laboratory, using the yeast 2-hybrid approach to screen a T-cell library for Tax1-interacting partners, identified the cellular Four and a Half Lim domain protein 3 (FHL3) as a possible Tax1-interacting candidate. FHL3 is a member of the FHL family of proteins, which function as transcriptional coactivators and cytoskeleton regulators and have a role in cancer progression and development. The aim of this study was to investigate the physical and functional interaction between Tax1 and members of the FHL family of proteins. We show that Tax1 and FHL3 interact both in vitro and in vivo. Furthermore, both FHL1 and -2 also interact with Tax1. We have demonstrated that FHL3 enhances Tax1-mediated activation of the viral long terminal repeat (LTR) without affecting basal activity and that FHL1 to -3 regulate NF-κB activation by Tax1 in a cell-specific manner. In addition, we have found that the interaction between Tax1 and FHL1 to -3 affects the localization of these proteins, leading to their redistribution in cells. Tax1 also affected FHL3 cytoskeleton function by increasing FHL3-mediated cell spreading. Overall, our results suggest that the interaction between Tax1 and the FHL family alters both the transactivating activity and the subcellular localization of Tax1 and provide new insights into molecular mechanisms that underlie the oncogenic nature of this HTLV-1 protein.
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Banduseela VC, Chen YW, Kultima HG, Norman HS, Aare S, Radell P, Eriksson LI, Hoffman EP, Larsson L. Impaired autophagy, chaperone expression, and protein synthesis in response to critical illness interventions in porcine skeletal muscle. Physiol Genomics 2013; 45:477-86. [PMID: 23572537 DOI: 10.1152/physiolgenomics.00141.2012] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
Critical illness myopathy (CIM) is characterized by a preferential loss of the motor protein myosin, muscle wasting, and impaired muscle function in critically ill intensive care unit (ICU) patients. CIM is associated with severe morbidity and mortality and has a significant negative socioeconomic effect. Neuromuscular blocking agents, corticosteroids, sepsis, mechanical ventilation, and immobilization have been implicated as important risk factors, but the causal relationship between CIM and the risk factors has not been established. A porcine ICU model has been used to determine the immediate molecular and cellular cascades that may contribute to the pathogenesis prior to myosin loss and extensive muscle wasting. Expression profiles have been compared between pigs exposed to the ICU interventions, i.e., mechanically ventilated, sedated, and immobilized for 5 days, with pigs exposed to critical illness interventions, i.e., neuromuscular blocking agents, corticosteroids, and induced sepsis in addition to the ICU interventions for 5 days. Impaired autophagy as well as impaired chaperone expression and protein synthesis were observed in the skeletal muscle in response to critical illness interventions. A novel finding in this study is impaired core autophagy machinery in response to critical illness interventions, which when in concert with downregulated chaperone expression and protein synthesis may collectively affect the proteostasis in skeletal muscle and may exacerbate the disease progression in CIM.
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Affiliation(s)
- Varuna C Banduseela
- Department of Neuroscience, Clinical Neurophysiology, Uppsala University, Uppsala, Sweden.
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Aare S, Radell P, Eriksson LI, Akkad H, Chen YW, Hoffman EP, Larsson L. Effects of corticosteroids in the development of limb muscle weakness in a porcine intensive care unit model. Physiol Genomics 2013; 45:312-20. [PMID: 23429211 DOI: 10.1152/physiolgenomics.00123.2012] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
Abstract
Severe muscle wasting is a debilitating condition in critically ill intensive care unit (ICU) patients, characterized by general muscle weakness and dysfunction, resulting in a prolonged mobilization, delayed weaning from the ventilator, and a decreased quality of life post-ICU. The mechanisms underlying limb muscle weakness in ICU patients are complex and involve the impact of primary disease, but also factors common to critically ill ICU patients such as sepsis, mechanical ventilation (MV), immobilization, and systemic administration of corticosteroids (CS). These factors may have additive negative effects on skeletal muscle structure and function, but their respective role alone remain unknown. The primary aim of this study was to examine how CS administration potentiates ventilator and immobilization-related limb muscle dysfunction at the gene level. Comparing biceps femoris gene expression in pigs exposed to MV and CS for 5 days with only MV pigs for the same duration of time showed a distinct deregulation of 186 genes according to microarray. Surprisingly, the decreased force-generation capacity at the single muscle fiber reported in response to the addition of CS administration in mechanically ventilated and immobilized pigs was not associated with an additional upregulation of proteolytic pathways. On the other hand, an altered expression of genes regulating kinase activity, cell cycle, transcription, channel regulation, oxidative stress response, cytoskeletal, sarcomeric, and heat shock protein, as well as protein synthesis at the translational level, appears to play an additive deleterious role for the limb muscle weakness in immobilized ICU patients.
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Affiliation(s)
- Sudhakar Aare
- Department of Neuroscience, Clinical Neurophysiology, Uppsala University, Uppsala, Sweden
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31
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Damon M, Denieul K, Vincent A, Bonhomme N, Wyszynska-Koko J, Lebret B. Associations between muscle gene expression pattern and technological and sensory meat traits highlight new biomarkers for pork quality assessment. Meat Sci 2013; 95:744-54. [PMID: 23481319 DOI: 10.1016/j.meatsci.2013.01.016] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2012] [Revised: 01/15/2013] [Accepted: 01/23/2013] [Indexed: 01/03/2023]
Abstract
Meat quality (MQ) results from complex phenomenon and despite improved knowledge on MQ development, its variability remains high. The identification of biomarkers and the further development of rapid tests would thus be helpful to evaluate MQ in pork industries. Using transcriptomics, the present study aimed at identifying biomarkers of eight pork quality traits: ultimate pH, drip loss, lightness, redness, hue angle, intramuscular fat, shear force and tenderness, based on an experimental design inducing a high variability in MQ. Associations between microarray gene expression and pork traits (n=50 pigs) highlighted numerous potential biomarkers of MQ. Using quantitative RT-PCR, 113 transcript-trait correlations including 40 of these genes were confirmed (P<0.05, |r|≤0.73), out of which 60 were validated (P<0.05, |r|≤0.68) on complementary experimental data (n=50). Multiple regression models including 3 to 5 genes explained up to 59% of MQ trait variability. Moreover, functional analysis of correlated-trait genes provided information on the biological phenomena underlying MQ.
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Affiliation(s)
- Marie Damon
- INRA, UMR1348 PEGASE, F-35590 Saint-Gilles, France; Agrocampus Ouest, UMR1348 PEGASE, F-35000 Rennes, France
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Yau WWY, Rujitanaroj PO, Lam L, Chew SY. Directing stem cell fate by controlled RNA interference. Biomaterials 2011; 33:2608-28. [PMID: 22209557 DOI: 10.1016/j.biomaterials.2011.12.021] [Citation(s) in RCA: 70] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2011] [Accepted: 12/09/2011] [Indexed: 01/26/2023]
Abstract
Directing stem cell fate remains a major area of interest and also a hurdle to many, particularly in the field of regenerative medicine. Unfortunately, conventional methods of over-expressing inductive factors through the use of biochemical induction cocktails have led to sub-optimal outcomes. A potential alternative may be to adopt the opposite by selectively silencing genes or pathways that are pivotal to stem cell differentiation. Indeed, over recent years, there have been an increasing number of studies on directing stem cell fate through gene knockdown via RNA interference (RNAi). While the effectiveness of RNAi in controlling stem cell differentiation is evident from the myriad of studies, a chaotically vast collection of gene silencing targets have also been identified. Meanwhile, variations in methods of transfecting stem cells have also affected silencing efficiencies and the subsequent extent of stem cell differentiation. This review serves to unite the pioneers who have ventured into the emerging field of RNAi-enhanced stem cell differentiation by summarizing and evaluating the current approaches adopted in utilizing gene silencing to direct stem cell fate and their corresponding outcomes.
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Affiliation(s)
- Winifred Wing Yiu Yau
- School of Chemical and Biomedical Engineering, Nanyang Technological University, 637459, Singapore
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Fan B, Onteru SK, Du ZQ, Garrick DJ, Stalder KJ, Rothschild MF. Genome-wide association study identifies Loci for body composition and structural soundness traits in pigs. PLoS One 2011; 6:e14726. [PMID: 21383979 PMCID: PMC3044704 DOI: 10.1371/journal.pone.0014726] [Citation(s) in RCA: 161] [Impact Index Per Article: 12.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2010] [Accepted: 01/23/2011] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND The recent completion of the swine genome sequencing project and development of a high density porcine SNP array has made genome-wide association (GWA) studies feasible in pigs. METHODOLOGY/PRINCIPAL FINDINGS Using Illumina's PorcineSNP60 BeadChip, we performed a pilot GWA study in 820 commercial female pigs phenotyped for backfat, loin muscle area, body conformation in addition to feet and leg (FL) structural soundness traits. A total of 51,385 SNPs were jointly fitted using Bayesian techniques as random effects in a mixture model that assumed a known large proportion (99.5%) of SNPs had zero effect. SNP annotations were implemented through the Sus scrofa Build 9 available from pig Ensembl. We discovered a number of candidate chromosomal regions, and some of them corresponded to QTL regions previously reported. We not only have identified some well-known candidate genes for the traits of interest, such as MC4R (for backfat) and IGF2 (for loin muscle area), but also obtained novel promising genes, including CHCHD3 (for backfat), BMP2 (for loin muscle area, body size and several FL structure traits), and some HOXA family genes (for overall leg action). The candidate regions responsible for body conformation and FL structure soundness did not overlap greatly which implied that these traits were controlled by different genes. Functional clustering analyses classified the genes into categories related to bone and cartilage development, muscle growth and development or the insulin pathway suggesting the traits are regulated by common pathways or gene networks that exert roles at different spatial and temporal stages. CONCLUSIONS/SIGNIFICANCE This study is one of the earliest GWA reports on important quantitative traits in pigs, and the findings will contribute to the further biological function analysis of the identified candidate genes and potential utilization of them in marker assisted selection.
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Affiliation(s)
- Bin Fan
- Department of Animal Science and Center for Integrated Animal Genomics, Iowa State University, Ames, Iowa, United States of America
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction, Ministry of Education & College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, People's Republic of China
| | - Suneel K. Onteru
- Department of Animal Science and Center for Integrated Animal Genomics, Iowa State University, Ames, Iowa, United States of America
| | - Zhi-Qiang Du
- Department of Animal Science and Center for Integrated Animal Genomics, Iowa State University, Ames, Iowa, United States of America
| | - Dorian J. Garrick
- Department of Animal Science and Center for Integrated Animal Genomics, Iowa State University, Ames, Iowa, United States of America
| | - Kenneth J. Stalder
- Department of Animal Science and Center for Integrated Animal Genomics, Iowa State University, Ames, Iowa, United States of America
| | - Max F. Rothschild
- Department of Animal Science and Center for Integrated Animal Genomics, Iowa State University, Ames, Iowa, United States of America
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Trapnell C, Williams BA, Pertea G, Mortazavi A, Kwan G, van Baren MJ, Salzberg SL, Wold BJ, Pachter L. Transcript assembly and quantification by RNA-Seq reveals unannotated transcripts and isoform switching during cell differentiation. Nat Biotechnol 2010; 28:511-5. [PMID: 20436464 PMCID: PMC3146043 DOI: 10.1038/nbt.1621] [Citation(s) in RCA: 10977] [Impact Index Per Article: 784.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2010] [Accepted: 03/22/2010] [Indexed: 11/08/2022]
Abstract
High-throughput mRNA sequencing (RNA-Seq) promises simultaneous transcript discovery and abundance estimation. However, this would require algorithms that are not restricted by prior gene annotations and that account for alternative transcription and splicing. Here we introduce such algorithms in an open-source software program called Cufflinks. To test Cufflinks, we sequenced and analyzed >430 million paired 75-bp RNA-Seq reads from a mouse myoblast cell line over a differentiation time series. We detected 13,692 known transcripts and 3,724 previously unannotated ones, 62% of which are supported by independent expression data or by homologous genes in other species. Over the time series, 330 genes showed complete switches in the dominant transcription start site (TSS) or splice isoform, and we observed more subtle shifts in 1,304 other genes. These results suggest that Cufflinks can illuminate the substantial regulatory flexibility and complexity in even this well-studied model of muscle development and that it can improve transcriptome-based genome annotation.
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Affiliation(s)
- Cole Trapnell
- Department of Computer Science, University of Maryland, College Park, Maryland, USA
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Huang X, Wang JF, Xia WR, Zou MJ, Cai X, Xu DG. Identification of the transactivation domain of the human FHL3. Mol Biol 2010. [DOI: 10.1134/s0026893310020159] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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Kim SJ, Lee YJ, Kim JB. Reduced expression and abnormal localization of the K(ATP) channel subunit SUR2A in patients with familial hypokalemic periodic paralysis. Biochem Biophys Res Commun 2009; 391:974-8. [PMID: 19962959 DOI: 10.1016/j.bbrc.2009.11.177] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2009] [Accepted: 11/27/2009] [Indexed: 11/28/2022]
Abstract
Familial hypokalemic periodic paralysis is an autosomal-dominant channelopathy that features episodic attacks of flaccid paralysis with concomitant hypokalemia. Reduced activity of ATP-sensitive K(+) (K(ATP)) channels is suggested to be responsible for this disorder; however, the molecular mechanisms have not yet been elucidated. In this study, we investigated the molecular mechanism of reduced K(ATP) channel activity in skeletal muscle cells of patients with familial hypokalemic periodic paralysis. We examined the mRNA and protein levels of SUR2A, a K(ATP) channel subunit, in cells from patients (patient cells) and normal individuals (normal cells). Our results demonstrated that normal cells exposed to 50mM potassium buffer, which was used to induce depolarization, did not show significant change in the SUR2A mRNA levels; however, the protein level significantly increased in the cytosolic fraction. When the patient cells were exposed to 50mM potassium buffer, the SUR2A mRNA level significantly decreased. Further, the protein level of SUR2A significantly increased in the membrane fraction but decreased in the cytosolic fraction in patient cells. These findings suggest that abnormal localization of the SUR2A K(+) channel protein leads to reduced K(ATP) channel activity in familial hypokalemic periodic paralysis.
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Affiliation(s)
- Sung-Jo Kim
- Department of Biotechnology, Hoseo University, 165 Baebang-Myun, Asan, Chungnam, Republic of Korea
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Cottle DL, McGrath MJ, Wilding BR, Cowling BS, Kane JM, D'Arcy CE, Holdsworth M, Hatzinisiriou I, Prescott M, Brown S, Mitchell CA. SLIMMER (FHL1B/KyoT3) interacts with the proapoptotic protein Siva-1 (CD27BP) and delays skeletal myoblast apoptosis. J Biol Chem 2009; 284:26964-77. [PMID: 19643733 DOI: 10.1074/jbc.m109.036293] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
The fhl1 gene encoding four-and-a-half LIM protein-1 (FHL1) and its spliced isoform, SLIMMER, is mutated in reducing body myopathy, X-linked myopathy with postural muscle atrophy, scapuloperoneal myopathy, and rigid spine syndrome. In this study we have identified a novel function for SLIMMER in delaying skeletal muscle apoptosis via an interaction with the proapoptotic protein Siva-1. Siva-1 was identified as a SLIMMER-specific-interacting protein using yeast two-hybrid screening, direct-binding studies, and glutathione S-transferase pulldown analysis of murine skeletal muscle lysates. In C2C12 skeletal myoblasts, SLIMMER and Siva co-localized in the nucleus; however, both proteins exhibited redistribution to the cytoplasm following the differentiation of mononucleated myoblasts to multinucleated myotubes. In sections of mature skeletal muscle from wild type mice, SLIMMER and Siva-1 co-localized at the Z-line. SLIMMER and Siva-1 were also enriched in Pax-7-positive satellite cells, muscle stem cells that facilitate repair and regeneration. Significantly, SLIMMER delayed Siva-1-dependent apoptosis in C2C12 myoblasts. In skeletal muscle sections from the mdx mouse model of Duchenne muscular dystrophy, SLIMMER and Siva-1 co-localized in the nucleus of apoptotic myofibers. Therefore, SLIMMER may protect skeletal muscle from apoptosis.
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Affiliation(s)
- Denny L Cottle
- Department of Biochemistry and Molecular Biology, Monash University, Clayton, 3800 Victoria, Australia
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Prokaryotic expression, purification and functional characterization of human FHL3. Biotechnol Lett 2009; 31:1499-504. [DOI: 10.1007/s10529-009-0054-x] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2009] [Revised: 05/26/2009] [Accepted: 05/27/2009] [Indexed: 11/25/2022]
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Cowling BS, McGrath MJ, Nguyen MA, Cottle DL, Kee AJ, Brown S, Schessl J, Zou Y, Joya J, Bönnemann CG, Hardeman EC, Mitchell CA. Identification of FHL1 as a regulator of skeletal muscle mass: implications for human myopathy. ACTA ACUST UNITED AC 2009; 183:1033-48. [PMID: 19075112 PMCID: PMC2600747 DOI: 10.1083/jcb.200804077] [Citation(s) in RCA: 99] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
Regulators of skeletal muscle mass are of interest, given the morbidity and mortality of muscle atrophy and myopathy. Four-and-a-half LIM protein 1 (FHL1) is mutated in several human myopathies, including reducing-body myopathy (RBM). The normal function of FHL1 in muscle and how it causes myopathy remains unknown. We find that FHL1 transgenic expression in mouse skeletal muscle promotes hypertrophy and an oxidative fiber-type switch, leading to increased whole-body strength and fatigue resistance. Additionally, FHL1 overexpression enhances myoblast fusion, resulting in hypertrophic myotubes in C2C12 cells, (a phenotype rescued by calcineurin inhibition). In FHL1-RBM C2C12 cells, there are no hypertrophic myotubes. FHL1 binds with the calcineurin-regulated transcription factor NFATc1 (nuclear factor of activated T cells, cytoplasmic, calcineurin-dependent 1), enhancing NFATc1 transcriptional activity. Mutant RBM-FHL1 forms aggregate bodies in C2C12 cells, sequestering NFATc1 and resulting in reduced NFAT nuclear translocation and transcriptional activity. NFATc1 also colocalizes with mutant FHL1 to reducing bodies in RBM-afflicted skeletal muscle. Therefore, via NFATc1 signaling regulation, FHL1 appears to modulate muscle mass and strength enhancement.
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Affiliation(s)
- Belinda S Cowling
- Department of Biochemistry and Molecular Biology, Monash University, Clayton 3800, Victoria, Australia
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40
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Sheikh F, Raskin A, Chu PH, Lange S, Domenighetti AA, Zheng M, Liang X, Zhang T, Yajima T, Gu Y, Dalton ND, Mahata SK, Dorn GW, Brown JH, Heller-Brown J, Peterson KL, Omens JH, McCulloch AD, Chen J. An FHL1-containing complex within the cardiomyocyte sarcomere mediates hypertrophic biomechanical stress responses in mice. J Clin Invest 2008; 118:3870-80. [PMID: 19033658 DOI: 10.1172/jci34472] [Citation(s) in RCA: 184] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2007] [Accepted: 09/24/2008] [Indexed: 11/17/2022] Open
Abstract
The response of cardiomyocytes to biomechanical stress can determine the pathophysiology of hypertrophic cardiac disease, and targeting the pathways regulating these responses is a therapeutic goal. However, little is known about how biomechanical stress is sensed by the cardiomyocyte sarcomere to transduce intracellular hypertrophic signals or how the dysfunction of these pathways may lead to disease. Here, we found that four-and-a-half LIM domains 1 (FHL1) is part of a complex within the cardiomyocyte sarcomere that senses the biomechanical stress-induced responses important for cardiac hypertrophy. Mice lacking Fhl1 displayed a blunted hypertrophic response and a beneficial functional response to pressure overload induced by transverse aortic constriction. A link to the Galphaq (Gq) signaling pathway was also observed, as Fhl1 deficiency prevented the cardiomyopathy observed in Gq transgenic mice. Mechanistic studies demonstrated that FHL1 plays an important role in the mechanism of pathological hypertrophy by sensing biomechanical stress responses via the N2B stretch sensor domain of titin and initiating changes in the titin- and MAPK-mediated responses important for sarcomere extensibility and intracellular signaling. These studies shed light on the physiological regulation of the sarcomere in response to hypertrophic stress.
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Affiliation(s)
- Farah Sheikh
- Department of Medicine, UCSD, La Jolla, California 92093, USA
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