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Emanuelsson EB, Arif M, Reitzner SM, Perez S, Lindholm ME, Mardinoglu A, Daub C, Sundberg CJ, Chapman MA. Remodeling of the human skeletal muscle proteome found after long-term endurance training but not after strength training. iScience 2024; 27:108638. [PMID: 38213622 PMCID: PMC10783619 DOI: 10.1016/j.isci.2023.108638] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Revised: 11/09/2023] [Accepted: 12/01/2023] [Indexed: 01/13/2024] Open
Abstract
Exercise training has tremendous systemic tissue-specific health benefits, but the molecular adaptations to long-term exercise training are not completely understood. We investigated the skeletal muscle proteome of highly endurance-trained, strength-trained, and untrained individuals and performed exercise- and sex-specific analyses. Of the 6,000+ proteins identified, >650 were differentially expressed in endurance-trained individuals compared with controls. Strikingly, 92% of the shared proteins with higher expression in both the male and female endurance groups were known mitochondrial. In contrast to the findings in endurance-trained individuals, minimal differences were found in strength-trained individuals and between females and males. Lastly, a co-expression network and comparative literature analysis revealed key proteins and pathways related to the health benefits of exercise, which were primarily related to differences in mitochondrial proteins. This network is available as an interactive database resource where investigators can correlate clinical data with global gene and protein expression data for hypothesis generation.
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Affiliation(s)
- Eric B. Emanuelsson
- Department of Physiology and Pharmacology, Karolinska Institutet, 171 77 Stockholm, Sweden
| | - Muhammad Arif
- Science for Life Laboratory, KTH – Royal Institute of Technology, 171 77 Stockholm, Sweden
| | - Stefan M. Reitzner
- Department of Physiology and Pharmacology, Karolinska Institutet, 171 77 Stockholm, Sweden
- Department of Women’s and Children’s Health, Karolinska Institutet, 171 77 Stockholm, Sweden
| | - Sean Perez
- Department of Biology, Pomona College, Claremont, CA 91711, USA
| | - Maléne E. Lindholm
- Department of Physiology and Pharmacology, Karolinska Institutet, 171 77 Stockholm, Sweden
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Adil Mardinoglu
- Science for Life Laboratory, KTH – Royal Institute of Technology, 171 77 Stockholm, Sweden
- Centre for Host–Microbiome Interactions, Faculty of Dentistry, Oral & Craniofacial Sciences, King’s College London, London WC2R 2LS, UK
| | - Carsten Daub
- Department of Biosciences and Nutrition, Karolinska Institutet, 171 77 Stockholm, Sweden
- Science for Life Laboratory, 171 65 Solna, Sweden
| | - Carl Johan Sundberg
- Department of Physiology and Pharmacology, Karolinska Institutet, 171 77 Stockholm, Sweden
- Department of Laboratory Medicine, Karolinska Institutet, 141 52 Huddinge, Sweden
- Department of Learning, Informatics, Management and Ethics, Karolinska Institutet, 171 77 Stockholm, Sweden
| | - Mark A. Chapman
- Department of Physiology and Pharmacology, Karolinska Institutet, 171 77 Stockholm, Sweden
- Department of Integrated Engineering, University of San Diego, San Diego, CA 92110, USA
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Li D, Chen F, Tian Y, Su Y. Transcriptome analysis of the gene expression of M . iliotibialis lateralis affected by dietary methionine restriction. Front Physiol 2023; 14:1184651. [PMID: 37284544 PMCID: PMC10240061 DOI: 10.3389/fphys.2023.1184651] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2023] [Accepted: 05/02/2023] [Indexed: 06/08/2023] Open
Abstract
Introduction: Methionine (Met) is an important amino acid related to the development of skeletal muscle. This study investigated the effects of dietary Met restriction on the gene expression of M. iliotibialis lateralis. Methods: A total of 84 day-old broiler chicks (Zhuanghe Dagu) with a similar initial body weight (207.62 ± 8.54 g) were used in this study. All birds were divided into two groups (CON; L-Met) based on the initial body weight. Each group consisted of six replicates with seven birds per replicate. The experimental period was 63 days (phase 1, days 1-21; phase 2, days 22-63). According to the nutritional requirements of Zhuanghe Dagu chickens, we provided a basal diet (0.39% Met levels during phase 1 and 0.35% Met levels during phase 2, as-fed basis) to the birds in the CON group, while we provided a Met-restricted diet (0.31% Met levels during phase 1 and 0.28% Met levels during phase 2, as-fed basis) to the birds in the L-Met group. The growth performance of broiler chicks and their M. iliotibialis lateralis development parameters were measured on days 21 and 63. Results and Discussion: In this study, dietary Met restriction did not affect the growth performance of broiler chicks but hindered the development of M. iliotibialis lateralis at both sampling timepoints. On the final day, three birds selected from each group (three from CON and three from L-Met) were used to obtain M. iliotibialis lateralis samples from leg muscle for further transcriptome analysis. Transcriptome analysis revealed that dietary Met restriction significantly upregulated 247 differentially expressed genes (DEGs) and downregulated 173 DEGs. Additionally, DEGs were mainly enriched in 10 pathways. Among DEGs, we observed that dietary Met restriction downregulated the expression of CSRP3, KY, FHL1, LMCD1, and MYOZ2 in M. iliotibialis lateralis. Therefore, we considered that dietary Met restriction had negative effects on the development of M. iliotibialis lateralis, and CSRP3, KY, FHL1, LMCD1, and MYOZ2 may serve as potential functional genes involved in this process.
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Affiliation(s)
- Desheng Li
- College of Animal Science and Veterinary Medicine, Jinzhou Medical University, Jinzhou, China
- Laboratory of Quality and Safety of Animal Product of Liaoning Province, Jinzhou, China
| | - Fei Chen
- College of Animal Science and Veterinary Medicine, Jinzhou Medical University, Jinzhou, China
- Laboratory of Quality and Safety of Animal Product of Liaoning Province, Jinzhou, China
| | - Yumin Tian
- College of Animal Science and Veterinary Medicine, Jinzhou Medical University, Jinzhou, China
- Laboratory of Quality and Safety of Animal Product of Liaoning Province, Jinzhou, China
| | - Yuhong Su
- Laboratory of Quality and Safety of Animal Product of Liaoning Province, Jinzhou, China
- College of Food and Health, Jinzhou Medical University, Jinzhou, China
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Kanakachari M, Ashwini R, Chatterjee RN, Bhattacharya TK. Embryonic transcriptome unravels mechanisms and pathways underlying embryonic development with respect to muscle growth, egg production, and plumage formation in native and broiler chickens. Front Genet 2022; 13:990849. [PMID: 36313432 PMCID: PMC9616467 DOI: 10.3389/fgene.2022.990849] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2022] [Accepted: 09/12/2022] [Indexed: 11/16/2022] Open
Abstract
Background: Muscle development, egg production, and plumage colors are different between native and broiler chickens. The study was designed to investigate why improved Aseel (PD4) is colorful, stronger, and grew slowly compared with the control broiler (CB). Methods: A microarray was conducted using the 7th-day embryo (7EB) and 18th-day thigh muscle (18TM) of improved Aseel and broiler, respectively. Also, we have selected 24 Gallus gallus candidate reference genes from NCBI, and total RNA was isolated from the broiler, improved Aseel embryo tissues, and their expression profiles were studied by real-time quantitative PCR (qPCR). Furthermore, microarray data were validated with qPCR using improved Aseel and broiler embryo tissues. Results: In the differential transcripts screening, all the transcripts obtained by microarray of slow and fast growth groups were screened by fold change ≥ 1 and false discovery rate (FDR) ≤ 0.05. In total, 8,069 transcripts were differentially expressed between the 7EB and 18TM of PD4 compared to the CB. A further analysis showed that a high number of transcripts are differentially regulated in the 7EB of PD4 (6,896) and fewer transcripts are differentially regulated (1,173) in the 18TM of PD4 compared to the CB. On the 7th- and 18th-day PD4 embryos, 3,890, 3,006, 745, and 428 transcripts were up- and downregulated, respectively. The commonly up- and downregulated transcripts are 91 and 44 between the 7th- and 18th-day of embryos. In addition, the best housekeeping gene was identified. Furthermore, we validated the differentially expressed genes (DEGs) related to muscle growth, myostatin signaling and development, and fatty acid metabolism genes in PD4 and CB embryo tissues by qPCR, and the results correlated with microarray expression data. Conclusion: Our study identified DEGs that regulate the myostatin signaling and differentiation pathway; glycolysis and gluconeogenesis; fatty acid metabolism; Jak-STAT, mTOR, and TGF-β signaling pathways; tryptophan metabolism; and PI3K-Akt signaling pathways in PD4. The results revealed that the gene expression architecture is present in the improved Aseel exhibiting embryo growth that will help improve muscle development, differentiation, egg production, protein synthesis, and plumage formation in PD4 native chickens. Our findings may be used as a model for improving the growth in Aseel as well as optimizing the growth in the broiler.
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Affiliation(s)
- M. Kanakachari
- ICAR-Directorate of Poultry Research, Hyderabad, India
- EVA.4 Unit, Faculty of Forestry and Wood Sciences, Czech University of Life Sciences Prague, Prague, Czechia
| | - R. Ashwini
- ICAR-Directorate of Poultry Research, Hyderabad, India
| | | | - T. K. Bhattacharya
- ICAR-Directorate of Poultry Research, Hyderabad, India
- *Correspondence: T. K. Bhattacharya,
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Cardiovascular Involvement in Pediatric FLNC Variants: A Case Series of Fourteen Patients. J Cardiovasc Dev Dis 2022; 9:jcdd9100332. [PMID: 36286284 PMCID: PMC9604120 DOI: 10.3390/jcdd9100332] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2022] [Accepted: 09/22/2022] [Indexed: 11/16/2022] Open
Abstract
Filamin C is a protein specifically expressed in myocytes and cardiomyocytes and is involved in several biological functions, including sarcomere contractile activity, signaling, cellular adhesion, and repair. FLNC variants are associated with different disorders ranging from striated muscle (myofibrillar distal or proximal) myopathy to cardiomyopathies (CMPs) (restrictive, hypertrophic, and dilated), or both. The outcome depends on functional consequences of the detected variants, which result either in FLNC haploinsufficiency or in an aberrant protein, the latter affecting sarcomere structure leading to protein aggregates. Cardiac manifestations of filaminopathies are most often described as adult onset CMPs and limited reports are available in children or on other cardiac spectrums (congenital heart defects-CHDs, or arrhythmias). Here we report on 13 variants in 14 children (2.8%) out of 500 pediatric patients with early-onset different cardiac features ranging from CMP to arrhythmias and CHDs. In one patient, we identified a deletion encompassing FLNC detected by microarray, which was overlooked by next generation sequencing. We established a potential genotype-phenotype correlation of the p.Ala1186Val variant in severe and early-onset restrictive cardiomyopathy (RCM) associated with a limb-girdle defect (two new patients in addition to the five reported in the literature). Moreover, in three patients (21%), we identified a relatively frequent finding of long QT syndrome (LQTS) associated with RCM (n = 2) and a hypertrabeculated left ventricle (n = 1). RCM and LQTS in children might represent a specific red flag for FLNC variants. Further studies are warranted in pediatric cohorts to delineate potential expanding phenotypes related to FLNC.
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MYOZ1 Gene Promotes Muscle Growth and Development in Meat Ducks. Genes (Basel) 2022; 13:genes13091574. [PMID: 36140742 PMCID: PMC9498692 DOI: 10.3390/genes13091574] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2022] [Revised: 08/12/2022] [Accepted: 08/20/2022] [Indexed: 11/20/2022] Open
Abstract
To explore the effect of MYOZ1 in the muscle growth and development of meat ducks, MYOZ1 single-nucleotide polymorphism loci were screened at the DNA level in the meat duck population with highest and lowest feed conversion rates. The expression of MYOZ1 was detected using reverse-transcription quantitative polymerase chain reaction. The protein expression of MYOZ1 was detected using Western blotting at the protein level. The results showed that there was a base mutation site at 30 bp and 158 bp in the fourth exon of MYOZ1, which was mutated from C to T (exon4 C30T) and from G to A (exon4 G158A), respectively. The allele frequency of the locus was significantly different between the high and low feed conversion rate groups (p < 0.01). The relative expression of MYOZ1 mRNA in breast muscle tissue of HF ducks was significantly higher than that of LF ducks (p < 0.01). The MYOZ1 protein expression of HF ducks was significantly higher than that of LF ducks (p < 0.01). In general, MYOZ1 has a positive regulatory effect on the muscle growth and development of meat ducks. The results of this study lay a certain theoretical basis for the muscle growth and development of meat ducks.
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Bang ML, Bogomolovas J, Chen J. Understanding the molecular basis of cardiomyopathy. Am J Physiol Heart Circ Physiol 2022; 322:H181-H233. [PMID: 34797172 PMCID: PMC8759964 DOI: 10.1152/ajpheart.00562.2021] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Revised: 11/16/2021] [Accepted: 11/16/2021] [Indexed: 02/03/2023]
Abstract
Inherited cardiomyopathies are a major cause of mortality and morbidity worldwide and can be caused by mutations in a wide range of proteins located in different cellular compartments. The present review is based on Dr. Ju Chen's 2021 Robert M. Berne Distinguished Lectureship of the American Physiological Society Cardiovascular Section, in which he provided an overview of the current knowledge on the cardiomyopathy-associated proteins that have been studied in his laboratory. The review provides a general summary of the proteins in different compartments of cardiomyocytes associated with cardiomyopathies, with specific focus on the proteins that have been studied in Dr. Chen's laboratory.
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Affiliation(s)
- Marie-Louise Bang
- Institute of Genetic and Biomedical Research (IRGB), National Research Council (CNR), Milan Unit, Milan, Italy
- IRCCS Humanitas Research Hospital, Rozzano (Milan), Italy
| | - Julius Bogomolovas
- Division of Cardiovascular Medicine, Department of Medicine Cardiology, University of California, San Diego, La Jolla, California
| | - Ju Chen
- Division of Cardiovascular Medicine, Department of Medicine Cardiology, University of California, San Diego, La Jolla, California
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Yang X, Wang J, Ma X, Du J, Mei C, Zan L. Transcriptome-wide N 6-Methyladenosine Methylome Profiling Reveals m 6A Regulation of Skeletal Myoblast Differentiation in Cattle ( Bos taurus). Front Cell Dev Biol 2021; 9:785380. [PMID: 34938736 PMCID: PMC8685427 DOI: 10.3389/fcell.2021.785380] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Accepted: 11/12/2021] [Indexed: 12/28/2022] Open
Abstract
N 6 -methyladenosine (m6A) is the most prevalent methylation modification of eukaryotic mRNA, and it plays an important role in regulating gene expression. Previous studies have found that m6A methylation plays a role in mammalian skeletal muscle development. However, the effect of m6A on bovine skeletal myogenesis are still unclear. Here, we selected proliferating myoblasts (GM) and differentiated myotubes (on the 4th day of differentiation, DM) for m6A-seq and RNA-seq to explore the m6A methylation modification pattern during bovine skeletal myogenesis. m6A-seq analysis revealed that m6A methylation was an abundant modification of the mRNA in bovine myoblasts and myotubes. We scanned 5,691-8,094 m6A-modified transcripts, including 1,437 differentially methylated genes (DMGs). GO and KEGG analyses revealed that DMGs were primarily involved in transcriptional regulation and RNA metabolism, as well as insulin resistance and metabolic pathways related to muscle development. The combined analysis further identified 268 genes that had significant changes at both m6A and mRNA levels, suggesting that m6A modification may regulate myoblast differentiation by mediating the expression of these genes. Furthermore, we experimentally confirmed four genes related to myogenesis, including MYOZ2, TWIST1, KLF5 and MYOD1, with differential changes in both m6A and mRNA levels during bovine myoblast differentiation, indicating that they can be potential candidate targets for m6A regulation of skeletal myogenesis. Our results may provide new insight into molecular genetics and breeding of beef cattle, and provide a reference for investigating the mechanism of m6A regulating skeletal muscle development.
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Affiliation(s)
- Xinran Yang
- College of Animal Science and Technology, Northwest A&F University, Yangling, China
| | - Jianfang Wang
- College of Animal Science and Technology, Northwest A&F University, Yangling, China
| | - Xinhao Ma
- College of Animal Science and Technology, Northwest A&F University, Yangling, China
| | - Jiawei Du
- College of Animal Science and Technology, Northwest A&F University, Yangling, China
| | - Chugang Mei
- College of Animal Science and Technology, Northwest A&F University, Yangling, China.,National Beef Cattle Improvement Center, Northwest A&F University, Yangling, China
| | - Linsen Zan
- College of Animal Science and Technology, Northwest A&F University, Yangling, China.,National Beef Cattle Improvement Center, Northwest A&F University, Yangling, China
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8
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Kley RA, Leber Y, Schrank B, Zhuge H, Orfanos Z, Kostan J, Onipe A, Sellung D, Güttsches AK, Eggers B, Jacobsen F, Kress W, Marcus K, Djinovic-Carugo K, van der Ven PFM, Fürst DO, Vorgerd M. FLNC-Associated Myofibrillar Myopathy: New Clinical, Functional, and Proteomic Data. NEUROLOGY-GENETICS 2021; 7:e590. [PMID: 34235269 PMCID: PMC8237399 DOI: 10.1212/nxg.0000000000000590] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/23/2020] [Accepted: 12/28/2020] [Indexed: 11/15/2022]
Abstract
Objective To determine whether a new indel mutation in the dimerization domain of filamin C (FLNc) causes a hereditary myopathy with protein aggregation in muscle fibers, we clinically and molecularly studied a German family with autosomal dominant myofibrillar myopathy (MFM). Methods We performed mutational analysis in 3 generations, muscle histopathology, and proteomic studies of IM protein aggregates. Functional consequences of the FLNC mutation were investigated with interaction and transfection studies and biophysics molecular analysis. Results Eight patients revealed clinical features of slowly progressive proximal weakness associated with a heterozygous c.8025_8030delCAAGACinsA (p.K2676Pfs*3) mutation in FLNC. Two patients exhibited a mild cardiomyopathy. MRI of skeletal muscle revealed lipomatous changes typical for MFM with FLNC mutations. Muscle biopsies showed characteristic MFM findings with protein aggregation and lesion formation. The proteomic profile of aggregates was specific for MFM-filaminopathy and indicated activation of the ubiquitin-proteasome system (UPS) and autophagic pathways. Functional studies revealed that mutant FLNc is misfolded, unstable, and incapable of forming homodimers and heterodimers with wild-type FLNc. Conclusions This new MFM-filaminopathy family confirms that expression of mutant FLNC leads to an adult-onset muscle phenotype with intracellular protein accumulation. Mutant FLNc protein is biochemically compromised and leads to dysregulation of protein quality control mechanisms. Proteomic analysis of MFM protein aggregates is a potent method to identify disease-relevant proteins, differentiate MFM subtypes, evaluate the relevance of gene variants, and identify novel MFM candidate genes.
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Affiliation(s)
- Rudolf Andre Kley
- Department of Neurology (R.A.K., H.Z., D.S., A.K.G., F.J., M.V.), Heimer Institute for Muscle Research, University Hospital Bergmannsheil, Ruhr-University Bochum, Bochum, Germany; Department of Neurology and Clinical Neurophysiology (R.A.K.), St. Marien-Hospital Borken, Borken, Germany; Department of Molecular Cell Biology (Y.L., Z.O., P.F.M.V., D.O.F.), Institute for Cell Biology, University of Bonn, Bonn, Germany; Department of Neurology (B.S.), DKD HELIOS Klinik Wiesbaden, Wiesbaden, Germany; Department of Structural and Computational Biology (J.K., A.O., K.D.-C.), Max Perutz Laboratories, University of Vienna, Vienna, Austria; Medizinisches Proteom-Center (B.E., K.M.), Ruhr-University Bochum, Bochum, Germany; Institute of Human Genetics (W.K.), University of Würzburg, Würzburg, Germany; and Department of Biochemistry (K.D.-C.), Faculty of Chemistry and Chemical Technology, University of Ljubljana, Ljubljana, Slovenia
| | - Yvonne Leber
- Department of Neurology (R.A.K., H.Z., D.S., A.K.G., F.J., M.V.), Heimer Institute for Muscle Research, University Hospital Bergmannsheil, Ruhr-University Bochum, Bochum, Germany; Department of Neurology and Clinical Neurophysiology (R.A.K.), St. Marien-Hospital Borken, Borken, Germany; Department of Molecular Cell Biology (Y.L., Z.O., P.F.M.V., D.O.F.), Institute for Cell Biology, University of Bonn, Bonn, Germany; Department of Neurology (B.S.), DKD HELIOS Klinik Wiesbaden, Wiesbaden, Germany; Department of Structural and Computational Biology (J.K., A.O., K.D.-C.), Max Perutz Laboratories, University of Vienna, Vienna, Austria; Medizinisches Proteom-Center (B.E., K.M.), Ruhr-University Bochum, Bochum, Germany; Institute of Human Genetics (W.K.), University of Würzburg, Würzburg, Germany; and Department of Biochemistry (K.D.-C.), Faculty of Chemistry and Chemical Technology, University of Ljubljana, Ljubljana, Slovenia
| | - Bertold Schrank
- Department of Neurology (R.A.K., H.Z., D.S., A.K.G., F.J., M.V.), Heimer Institute for Muscle Research, University Hospital Bergmannsheil, Ruhr-University Bochum, Bochum, Germany; Department of Neurology and Clinical Neurophysiology (R.A.K.), St. Marien-Hospital Borken, Borken, Germany; Department of Molecular Cell Biology (Y.L., Z.O., P.F.M.V., D.O.F.), Institute for Cell Biology, University of Bonn, Bonn, Germany; Department of Neurology (B.S.), DKD HELIOS Klinik Wiesbaden, Wiesbaden, Germany; Department of Structural and Computational Biology (J.K., A.O., K.D.-C.), Max Perutz Laboratories, University of Vienna, Vienna, Austria; Medizinisches Proteom-Center (B.E., K.M.), Ruhr-University Bochum, Bochum, Germany; Institute of Human Genetics (W.K.), University of Würzburg, Würzburg, Germany; and Department of Biochemistry (K.D.-C.), Faculty of Chemistry and Chemical Technology, University of Ljubljana, Ljubljana, Slovenia
| | - Heidi Zhuge
- Department of Neurology (R.A.K., H.Z., D.S., A.K.G., F.J., M.V.), Heimer Institute for Muscle Research, University Hospital Bergmannsheil, Ruhr-University Bochum, Bochum, Germany; Department of Neurology and Clinical Neurophysiology (R.A.K.), St. Marien-Hospital Borken, Borken, Germany; Department of Molecular Cell Biology (Y.L., Z.O., P.F.M.V., D.O.F.), Institute for Cell Biology, University of Bonn, Bonn, Germany; Department of Neurology (B.S.), DKD HELIOS Klinik Wiesbaden, Wiesbaden, Germany; Department of Structural and Computational Biology (J.K., A.O., K.D.-C.), Max Perutz Laboratories, University of Vienna, Vienna, Austria; Medizinisches Proteom-Center (B.E., K.M.), Ruhr-University Bochum, Bochum, Germany; Institute of Human Genetics (W.K.), University of Würzburg, Würzburg, Germany; and Department of Biochemistry (K.D.-C.), Faculty of Chemistry and Chemical Technology, University of Ljubljana, Ljubljana, Slovenia
| | - Zacharias Orfanos
- Department of Neurology (R.A.K., H.Z., D.S., A.K.G., F.J., M.V.), Heimer Institute for Muscle Research, University Hospital Bergmannsheil, Ruhr-University Bochum, Bochum, Germany; Department of Neurology and Clinical Neurophysiology (R.A.K.), St. Marien-Hospital Borken, Borken, Germany; Department of Molecular Cell Biology (Y.L., Z.O., P.F.M.V., D.O.F.), Institute for Cell Biology, University of Bonn, Bonn, Germany; Department of Neurology (B.S.), DKD HELIOS Klinik Wiesbaden, Wiesbaden, Germany; Department of Structural and Computational Biology (J.K., A.O., K.D.-C.), Max Perutz Laboratories, University of Vienna, Vienna, Austria; Medizinisches Proteom-Center (B.E., K.M.), Ruhr-University Bochum, Bochum, Germany; Institute of Human Genetics (W.K.), University of Würzburg, Würzburg, Germany; and Department of Biochemistry (K.D.-C.), Faculty of Chemistry and Chemical Technology, University of Ljubljana, Ljubljana, Slovenia
| | - Julius Kostan
- Department of Neurology (R.A.K., H.Z., D.S., A.K.G., F.J., M.V.), Heimer Institute for Muscle Research, University Hospital Bergmannsheil, Ruhr-University Bochum, Bochum, Germany; Department of Neurology and Clinical Neurophysiology (R.A.K.), St. Marien-Hospital Borken, Borken, Germany; Department of Molecular Cell Biology (Y.L., Z.O., P.F.M.V., D.O.F.), Institute for Cell Biology, University of Bonn, Bonn, Germany; Department of Neurology (B.S.), DKD HELIOS Klinik Wiesbaden, Wiesbaden, Germany; Department of Structural and Computational Biology (J.K., A.O., K.D.-C.), Max Perutz Laboratories, University of Vienna, Vienna, Austria; Medizinisches Proteom-Center (B.E., K.M.), Ruhr-University Bochum, Bochum, Germany; Institute of Human Genetics (W.K.), University of Würzburg, Würzburg, Germany; and Department of Biochemistry (K.D.-C.), Faculty of Chemistry and Chemical Technology, University of Ljubljana, Ljubljana, Slovenia
| | - Adekunle Onipe
- Department of Neurology (R.A.K., H.Z., D.S., A.K.G., F.J., M.V.), Heimer Institute for Muscle Research, University Hospital Bergmannsheil, Ruhr-University Bochum, Bochum, Germany; Department of Neurology and Clinical Neurophysiology (R.A.K.), St. Marien-Hospital Borken, Borken, Germany; Department of Molecular Cell Biology (Y.L., Z.O., P.F.M.V., D.O.F.), Institute for Cell Biology, University of Bonn, Bonn, Germany; Department of Neurology (B.S.), DKD HELIOS Klinik Wiesbaden, Wiesbaden, Germany; Department of Structural and Computational Biology (J.K., A.O., K.D.-C.), Max Perutz Laboratories, University of Vienna, Vienna, Austria; Medizinisches Proteom-Center (B.E., K.M.), Ruhr-University Bochum, Bochum, Germany; Institute of Human Genetics (W.K.), University of Würzburg, Würzburg, Germany; and Department of Biochemistry (K.D.-C.), Faculty of Chemistry and Chemical Technology, University of Ljubljana, Ljubljana, Slovenia
| | - Dominik Sellung
- Department of Neurology (R.A.K., H.Z., D.S., A.K.G., F.J., M.V.), Heimer Institute for Muscle Research, University Hospital Bergmannsheil, Ruhr-University Bochum, Bochum, Germany; Department of Neurology and Clinical Neurophysiology (R.A.K.), St. Marien-Hospital Borken, Borken, Germany; Department of Molecular Cell Biology (Y.L., Z.O., P.F.M.V., D.O.F.), Institute for Cell Biology, University of Bonn, Bonn, Germany; Department of Neurology (B.S.), DKD HELIOS Klinik Wiesbaden, Wiesbaden, Germany; Department of Structural and Computational Biology (J.K., A.O., K.D.-C.), Max Perutz Laboratories, University of Vienna, Vienna, Austria; Medizinisches Proteom-Center (B.E., K.M.), Ruhr-University Bochum, Bochum, Germany; Institute of Human Genetics (W.K.), University of Würzburg, Würzburg, Germany; and Department of Biochemistry (K.D.-C.), Faculty of Chemistry and Chemical Technology, University of Ljubljana, Ljubljana, Slovenia
| | - Anne Katrin Güttsches
- Department of Neurology (R.A.K., H.Z., D.S., A.K.G., F.J., M.V.), Heimer Institute for Muscle Research, University Hospital Bergmannsheil, Ruhr-University Bochum, Bochum, Germany; Department of Neurology and Clinical Neurophysiology (R.A.K.), St. Marien-Hospital Borken, Borken, Germany; Department of Molecular Cell Biology (Y.L., Z.O., P.F.M.V., D.O.F.), Institute for Cell Biology, University of Bonn, Bonn, Germany; Department of Neurology (B.S.), DKD HELIOS Klinik Wiesbaden, Wiesbaden, Germany; Department of Structural and Computational Biology (J.K., A.O., K.D.-C.), Max Perutz Laboratories, University of Vienna, Vienna, Austria; Medizinisches Proteom-Center (B.E., K.M.), Ruhr-University Bochum, Bochum, Germany; Institute of Human Genetics (W.K.), University of Würzburg, Würzburg, Germany; and Department of Biochemistry (K.D.-C.), Faculty of Chemistry and Chemical Technology, University of Ljubljana, Ljubljana, Slovenia
| | - Britta Eggers
- Department of Neurology (R.A.K., H.Z., D.S., A.K.G., F.J., M.V.), Heimer Institute for Muscle Research, University Hospital Bergmannsheil, Ruhr-University Bochum, Bochum, Germany; Department of Neurology and Clinical Neurophysiology (R.A.K.), St. Marien-Hospital Borken, Borken, Germany; Department of Molecular Cell Biology (Y.L., Z.O., P.F.M.V., D.O.F.), Institute for Cell Biology, University of Bonn, Bonn, Germany; Department of Neurology (B.S.), DKD HELIOS Klinik Wiesbaden, Wiesbaden, Germany; Department of Structural and Computational Biology (J.K., A.O., K.D.-C.), Max Perutz Laboratories, University of Vienna, Vienna, Austria; Medizinisches Proteom-Center (B.E., K.M.), Ruhr-University Bochum, Bochum, Germany; Institute of Human Genetics (W.K.), University of Würzburg, Würzburg, Germany; and Department of Biochemistry (K.D.-C.), Faculty of Chemistry and Chemical Technology, University of Ljubljana, Ljubljana, Slovenia
| | - Frank Jacobsen
- Department of Neurology (R.A.K., H.Z., D.S., A.K.G., F.J., M.V.), Heimer Institute for Muscle Research, University Hospital Bergmannsheil, Ruhr-University Bochum, Bochum, Germany; Department of Neurology and Clinical Neurophysiology (R.A.K.), St. Marien-Hospital Borken, Borken, Germany; Department of Molecular Cell Biology (Y.L., Z.O., P.F.M.V., D.O.F.), Institute for Cell Biology, University of Bonn, Bonn, Germany; Department of Neurology (B.S.), DKD HELIOS Klinik Wiesbaden, Wiesbaden, Germany; Department of Structural and Computational Biology (J.K., A.O., K.D.-C.), Max Perutz Laboratories, University of Vienna, Vienna, Austria; Medizinisches Proteom-Center (B.E., K.M.), Ruhr-University Bochum, Bochum, Germany; Institute of Human Genetics (W.K.), University of Würzburg, Würzburg, Germany; and Department of Biochemistry (K.D.-C.), Faculty of Chemistry and Chemical Technology, University of Ljubljana, Ljubljana, Slovenia
| | - Wolfram Kress
- Department of Neurology (R.A.K., H.Z., D.S., A.K.G., F.J., M.V.), Heimer Institute for Muscle Research, University Hospital Bergmannsheil, Ruhr-University Bochum, Bochum, Germany; Department of Neurology and Clinical Neurophysiology (R.A.K.), St. Marien-Hospital Borken, Borken, Germany; Department of Molecular Cell Biology (Y.L., Z.O., P.F.M.V., D.O.F.), Institute for Cell Biology, University of Bonn, Bonn, Germany; Department of Neurology (B.S.), DKD HELIOS Klinik Wiesbaden, Wiesbaden, Germany; Department of Structural and Computational Biology (J.K., A.O., K.D.-C.), Max Perutz Laboratories, University of Vienna, Vienna, Austria; Medizinisches Proteom-Center (B.E., K.M.), Ruhr-University Bochum, Bochum, Germany; Institute of Human Genetics (W.K.), University of Würzburg, Würzburg, Germany; and Department of Biochemistry (K.D.-C.), Faculty of Chemistry and Chemical Technology, University of Ljubljana, Ljubljana, Slovenia
| | - Katrin Marcus
- Department of Neurology (R.A.K., H.Z., D.S., A.K.G., F.J., M.V.), Heimer Institute for Muscle Research, University Hospital Bergmannsheil, Ruhr-University Bochum, Bochum, Germany; Department of Neurology and Clinical Neurophysiology (R.A.K.), St. Marien-Hospital Borken, Borken, Germany; Department of Molecular Cell Biology (Y.L., Z.O., P.F.M.V., D.O.F.), Institute for Cell Biology, University of Bonn, Bonn, Germany; Department of Neurology (B.S.), DKD HELIOS Klinik Wiesbaden, Wiesbaden, Germany; Department of Structural and Computational Biology (J.K., A.O., K.D.-C.), Max Perutz Laboratories, University of Vienna, Vienna, Austria; Medizinisches Proteom-Center (B.E., K.M.), Ruhr-University Bochum, Bochum, Germany; Institute of Human Genetics (W.K.), University of Würzburg, Würzburg, Germany; and Department of Biochemistry (K.D.-C.), Faculty of Chemistry and Chemical Technology, University of Ljubljana, Ljubljana, Slovenia
| | - Kristina Djinovic-Carugo
- Department of Neurology (R.A.K., H.Z., D.S., A.K.G., F.J., M.V.), Heimer Institute for Muscle Research, University Hospital Bergmannsheil, Ruhr-University Bochum, Bochum, Germany; Department of Neurology and Clinical Neurophysiology (R.A.K.), St. Marien-Hospital Borken, Borken, Germany; Department of Molecular Cell Biology (Y.L., Z.O., P.F.M.V., D.O.F.), Institute for Cell Biology, University of Bonn, Bonn, Germany; Department of Neurology (B.S.), DKD HELIOS Klinik Wiesbaden, Wiesbaden, Germany; Department of Structural and Computational Biology (J.K., A.O., K.D.-C.), Max Perutz Laboratories, University of Vienna, Vienna, Austria; Medizinisches Proteom-Center (B.E., K.M.), Ruhr-University Bochum, Bochum, Germany; Institute of Human Genetics (W.K.), University of Würzburg, Würzburg, Germany; and Department of Biochemistry (K.D.-C.), Faculty of Chemistry and Chemical Technology, University of Ljubljana, Ljubljana, Slovenia
| | - Peter F M van der Ven
- Department of Neurology (R.A.K., H.Z., D.S., A.K.G., F.J., M.V.), Heimer Institute for Muscle Research, University Hospital Bergmannsheil, Ruhr-University Bochum, Bochum, Germany; Department of Neurology and Clinical Neurophysiology (R.A.K.), St. Marien-Hospital Borken, Borken, Germany; Department of Molecular Cell Biology (Y.L., Z.O., P.F.M.V., D.O.F.), Institute for Cell Biology, University of Bonn, Bonn, Germany; Department of Neurology (B.S.), DKD HELIOS Klinik Wiesbaden, Wiesbaden, Germany; Department of Structural and Computational Biology (J.K., A.O., K.D.-C.), Max Perutz Laboratories, University of Vienna, Vienna, Austria; Medizinisches Proteom-Center (B.E., K.M.), Ruhr-University Bochum, Bochum, Germany; Institute of Human Genetics (W.K.), University of Würzburg, Würzburg, Germany; and Department of Biochemistry (K.D.-C.), Faculty of Chemistry and Chemical Technology, University of Ljubljana, Ljubljana, Slovenia
| | - Dieter O Fürst
- Department of Neurology (R.A.K., H.Z., D.S., A.K.G., F.J., M.V.), Heimer Institute for Muscle Research, University Hospital Bergmannsheil, Ruhr-University Bochum, Bochum, Germany; Department of Neurology and Clinical Neurophysiology (R.A.K.), St. Marien-Hospital Borken, Borken, Germany; Department of Molecular Cell Biology (Y.L., Z.O., P.F.M.V., D.O.F.), Institute for Cell Biology, University of Bonn, Bonn, Germany; Department of Neurology (B.S.), DKD HELIOS Klinik Wiesbaden, Wiesbaden, Germany; Department of Structural and Computational Biology (J.K., A.O., K.D.-C.), Max Perutz Laboratories, University of Vienna, Vienna, Austria; Medizinisches Proteom-Center (B.E., K.M.), Ruhr-University Bochum, Bochum, Germany; Institute of Human Genetics (W.K.), University of Würzburg, Würzburg, Germany; and Department of Biochemistry (K.D.-C.), Faculty of Chemistry and Chemical Technology, University of Ljubljana, Ljubljana, Slovenia
| | - Matthias Vorgerd
- Department of Neurology (R.A.K., H.Z., D.S., A.K.G., F.J., M.V.), Heimer Institute for Muscle Research, University Hospital Bergmannsheil, Ruhr-University Bochum, Bochum, Germany; Department of Neurology and Clinical Neurophysiology (R.A.K.), St. Marien-Hospital Borken, Borken, Germany; Department of Molecular Cell Biology (Y.L., Z.O., P.F.M.V., D.O.F.), Institute for Cell Biology, University of Bonn, Bonn, Germany; Department of Neurology (B.S.), DKD HELIOS Klinik Wiesbaden, Wiesbaden, Germany; Department of Structural and Computational Biology (J.K., A.O., K.D.-C.), Max Perutz Laboratories, University of Vienna, Vienna, Austria; Medizinisches Proteom-Center (B.E., K.M.), Ruhr-University Bochum, Bochum, Germany; Institute of Human Genetics (W.K.), University of Würzburg, Würzburg, Germany; and Department of Biochemistry (K.D.-C.), Faculty of Chemistry and Chemical Technology, University of Ljubljana, Ljubljana, Slovenia
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9
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Sponga A, Arolas JL, Schwarz TC, Jeffries CM, Rodriguez Chamorro A, Kostan J, Ghisleni A, Drepper F, Polyansky A, De Almeida Ribeiro E, Pedron M, Zawadzka-Kazimierczuk A, Mlynek G, Peterbauer T, Doto P, Schreiner C, Hollerl E, Mateos B, Geist L, Faulkner G, Kozminski W, Svergun DI, Warscheid B, Zagrovic B, Gautel M, Konrat R, Djinović-Carugo K. Order from disorder in the sarcomere: FATZ forms a fuzzy but tight complex and phase-separated condensates with α-actinin. SCIENCE ADVANCES 2021; 7:eabg7653. [PMID: 34049882 PMCID: PMC8163081 DOI: 10.1126/sciadv.abg7653] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/02/2021] [Accepted: 04/13/2021] [Indexed: 05/03/2023]
Abstract
In sarcomeres, α-actinin cross-links actin filaments and anchors them to the Z-disk. FATZ (filamin-, α-actinin-, and telethonin-binding protein of the Z-disk) proteins interact with α-actinin and other core Z-disk proteins, contributing to myofibril assembly and maintenance. Here, we report the first structure and its cellular validation of α-actinin-2 in complex with a Z-disk partner, FATZ-1, which is best described as a conformational ensemble. We show that FATZ-1 forms a tight fuzzy complex with α-actinin-2 and propose an interaction mechanism via main molecular recognition elements and secondary binding sites. The obtained integrative model reveals a polar architecture of the complex which, in combination with FATZ-1 multivalent scaffold function, might organize interaction partners and stabilize α-actinin-2 preferential orientation in Z-disk. Last, we uncover FATZ-1 ability to phase-separate and form biomolecular condensates with α-actinin-2, raising the question whether FATZ proteins can create an interaction hub for Z-disk proteins through membraneless compartmentalization during myofibrillogenesis.
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Affiliation(s)
- Antonio Sponga
- Department of Structural and Computational Biology, Max Perutz Labs, University of Vienna, Campus Vienna Biocenter 5, A-1030 Vienna, Austria
| | - Joan L Arolas
- Department of Structural and Computational Biology, Max Perutz Labs, University of Vienna, Campus Vienna Biocenter 5, A-1030 Vienna, Austria
| | - Thomas C Schwarz
- Department of Structural and Computational Biology, Max Perutz Labs, University of Vienna, Campus Vienna Biocenter 5, A-1030 Vienna, Austria
| | - Cy M Jeffries
- European Molecular Biology Laboratory (EMBL), Hamburg Unit, Hamburg, Germany
| | - Ariadna Rodriguez Chamorro
- Department of Structural and Computational Biology, Max Perutz Labs, University of Vienna, Campus Vienna Biocenter 5, A-1030 Vienna, Austria
| | - Julius Kostan
- Department of Structural and Computational Biology, Max Perutz Labs, University of Vienna, Campus Vienna Biocenter 5, A-1030 Vienna, Austria
| | - Andrea Ghisleni
- King's College London BHF Centre for Research Excellence, Randall Centre for Cell and Molecular Biophysics, London SE1 1UL, UK
| | - Friedel Drepper
- Biochemistry and Functional Proteomics, Institute of Biology II, Faculty of Biology, University of Freiburg, 79104 Freiburg, Germany
- Signalling Research Centres BIOSS and CIBSS, University of Freiburg, 79104 Freiburg, Germany
| | - Anton Polyansky
- Department of Structural and Computational Biology, Max Perutz Labs, University of Vienna, Campus Vienna Biocenter 5, A-1030 Vienna, Austria
- National Research University Higher School of Economics, Moscow 101000, Russia
| | - Euripedes De Almeida Ribeiro
- Department of Structural and Computational Biology, Max Perutz Labs, University of Vienna, Campus Vienna Biocenter 5, A-1030 Vienna, Austria
| | - Miriam Pedron
- Department of Structural and Computational Biology, Max Perutz Labs, University of Vienna, Campus Vienna Biocenter 5, A-1030 Vienna, Austria
| | - Anna Zawadzka-Kazimierczuk
- Biological and Chemical Research Centre, Faculty of Chemistry, University of Warsaw, Zwirki i Wigury 101, 02-089 Warsaw, Poland
| | - Georg Mlynek
- Department of Structural and Computational Biology, Max Perutz Labs, University of Vienna, Campus Vienna Biocenter 5, A-1030 Vienna, Austria
| | - Thomas Peterbauer
- Department of Biochemistry and Cell Biology, Max Perutz Labs, University of Vienna, Dr. BohrGasse 9, A-1030 Vienna, Austria
| | - Pierantonio Doto
- Department of Structural and Computational Biology, Max Perutz Labs, University of Vienna, Campus Vienna Biocenter 5, A-1030 Vienna, Austria
| | - Claudia Schreiner
- Department of Structural and Computational Biology, Max Perutz Labs, University of Vienna, Campus Vienna Biocenter 5, A-1030 Vienna, Austria
| | - Eneda Hollerl
- Department of Structural and Computational Biology, Max Perutz Labs, University of Vienna, Campus Vienna Biocenter 5, A-1030 Vienna, Austria
| | - Borja Mateos
- Department of Structural and Computational Biology, Max Perutz Labs, University of Vienna, Campus Vienna Biocenter 5, A-1030 Vienna, Austria
| | - Leonhard Geist
- Department of Structural and Computational Biology, Max Perutz Labs, University of Vienna, Campus Vienna Biocenter 5, A-1030 Vienna, Austria
| | | | - Wiktor Kozminski
- Biological and Chemical Research Centre, Faculty of Chemistry, University of Warsaw, Zwirki i Wigury 101, 02-089 Warsaw, Poland
| | - Dmitri I Svergun
- King's College London BHF Centre for Research Excellence, Randall Centre for Cell and Molecular Biophysics, London SE1 1UL, UK
| | - Bettina Warscheid
- Biochemistry and Functional Proteomics, Institute of Biology II, Faculty of Biology, University of Freiburg, 79104 Freiburg, Germany
- Signalling Research Centres BIOSS and CIBSS, University of Freiburg, 79104 Freiburg, Germany
| | - Bojan Zagrovic
- Department of Structural and Computational Biology, Max Perutz Labs, University of Vienna, Campus Vienna Biocenter 5, A-1030 Vienna, Austria
| | - Mathias Gautel
- King's College London BHF Centre for Research Excellence, Randall Centre for Cell and Molecular Biophysics, London SE1 1UL, UK
| | - Robert Konrat
- Department of Structural and Computational Biology, Max Perutz Labs, University of Vienna, Campus Vienna Biocenter 5, A-1030 Vienna, Austria
| | - Kristina Djinović-Carugo
- Department of Structural and Computational Biology, Max Perutz Labs, University of Vienna, Campus Vienna Biocenter 5, A-1030 Vienna, Austria.
- Department of Biochemistry, Faculty of Chemistry and Chemical Technology, University of Ljubljana, Večna pot 113, SI-1000 Ljubljana, Slovenia
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10
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Kotov V, Mlynek G, Vesper O, Pletzer M, Wald J, Teixeira‐Duarte CM, Celia H, Garcia‐Alai M, Nussberger S, Buchanan SK, Morais‐Cabral JH, Loew C, Djinovic‐Carugo K, Marlovits TC. In-depth interrogation of protein thermal unfolding data with MoltenProt. Protein Sci 2021; 30:201-217. [PMID: 33140490 PMCID: PMC7737771 DOI: 10.1002/pro.3986] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2020] [Revised: 10/27/2020] [Accepted: 10/30/2020] [Indexed: 01/06/2023]
Abstract
Protein stability is a key factor in successful structural and biochemical research. However, the approaches for systematic comparison of protein stability are limited by sample consumption or compatibility with sample buffer components. Here we describe how miniaturized measurement of intrinsic tryptophan fluorescence (NanoDSF assay) in combination with a simplified description of protein unfolding can be used to interrogate the stability of a protein sample. We demonstrate that improved protein stability measures, such as apparent Gibbs free energy of unfolding, rather than melting temperature Tm , should be used to rank the results of thermostability screens. The assay is compatible with protein samples of any composition, including protein complexes and membrane proteins. Our data analysis software, MoltenProt, provides an easy and robust way to perform characterization of multiple samples. Potential applications of MoltenProt and NanoDSF include buffer and construct optimization for X-ray crystallography and cryo-electron microscopy, screening for small-molecule binding partners and comparison of effects of point mutations.
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Affiliation(s)
- Vadim Kotov
- Centre for Structural Systems Biology (CSSB)HamburgGermany
- Institute for Structural and Systems BiologyUniversity Medical Center Hamburg‐Eppendorf (UKE)HamburgGermany
- German Electron Synchrotron Centre (DESY)HamburgGermany
| | - Georg Mlynek
- Department of Structural and Computational Biology, Max Perutz Labs ViennaUniversity of ViennaViennaAustria
| | - Oliver Vesper
- Centre for Structural Systems Biology (CSSB)HamburgGermany
- Institute for Structural and Systems BiologyUniversity Medical Center Hamburg‐Eppendorf (UKE)HamburgGermany
- German Electron Synchrotron Centre (DESY)HamburgGermany
| | - Marina Pletzer
- Department of Structural and Computational Biology, Max Perutz Labs ViennaUniversity of ViennaViennaAustria
| | - Jiri Wald
- Centre for Structural Systems Biology (CSSB)HamburgGermany
- Institute for Structural and Systems BiologyUniversity Medical Center Hamburg‐Eppendorf (UKE)HamburgGermany
- German Electron Synchrotron Centre (DESY)HamburgGermany
| | - Celso M. Teixeira‐Duarte
- Instituto de Investigação e Inovação em Saúde (i3S) and Instituto de Biologia Molecular e Celular (IBMC)Universidade do PortoPortoPortugal
| | - Herve Celia
- Laboratory of Molecular Biology, National Institute of Diabetes & Digestive & Kidney DiseasesNational Institutes of HealthBethesdaMarylandUSA
| | - Maria Garcia‐Alai
- Centre for Structural Systems Biology (CSSB)HamburgGermany
- European Molecular Biology Laboratory (EMBL)Hamburg UnitHamburgGermany
| | - Stephan Nussberger
- Department of Biophysics, Institute of Biomaterials and Biomolecular SystemsUniversity of StuttgartStuttgartGermany
| | - Susan K. Buchanan
- Laboratory of Molecular Biology, National Institute of Diabetes & Digestive & Kidney DiseasesNational Institutes of HealthBethesdaMarylandUSA
| | - João H. Morais‐Cabral
- Instituto de Investigação e Inovação em Saúde (i3S) and Instituto de Biologia Molecular e Celular (IBMC)Universidade do PortoPortoPortugal
| | - Christian Loew
- Centre for Structural Systems Biology (CSSB)HamburgGermany
- European Molecular Biology Laboratory (EMBL)Hamburg UnitHamburgGermany
| | - Kristina Djinovic‐Carugo
- Department of Structural and Computational Biology, Max Perutz Labs ViennaUniversity of ViennaViennaAustria
- Department of Biochemistry, Faculty of Chemistry and Chemical TechnologyUniversity of LjubljanaLjubljanaSlovenia
| | - Thomas C. Marlovits
- Centre for Structural Systems Biology (CSSB)HamburgGermany
- Institute for Structural and Systems BiologyUniversity Medical Center Hamburg‐Eppendorf (UKE)HamburgGermany
- German Electron Synchrotron Centre (DESY)HamburgGermany
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11
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Xu C, Zhang R, Xia Y, Xiong L, Yang W, Wang P. Annotation of susceptibility SNPs associated with atrial fibrillation. Aging (Albany NY) 2020; 12:16981-16998. [PMID: 32902410 PMCID: PMC7521544 DOI: 10.18632/aging.103615] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2019] [Accepted: 06/18/2020] [Indexed: 01/24/2023]
Abstract
OBJECTIVE Genome-wide association studies (GWAS) and the candidate gene based association studies have identified a panel of variants associated with atrial fibrillation (AF), however, most of the identified single nucleotide polymorphisms (SNPs) were found located within intergenic or intronic genomic regions, and whether the positive SNPs have a real biological function is unknown, and the real disease causing gene need to be studied. RESULTS The current results of the genetic studies including common variants identified by GWAS (338 index SNPs) and candidate gene based association studies (40 SNPs) were summarized. CONCLUSION Our study suggests the relationship between genetic variants and possible targeted genes, and provides insight into potential genetic pathways underlying AF incidence and development. The results may provide an encyclopedia of AF susceptibility SNPs and shed light on the functional mechanisms of AF variants identified through genetic studies. METHODS We summarized AF susceptibility SNPs identified by GWAS and candidate gene based association studies, and give a comprehensive functional annotation of all these AF susceptibility loci. by genomic annotation, microRNA binding prediction, promoter activity analysis, enhancer activity analysis, transcription factors binding activity prediction, expression quantitative trait loci (eQTL) analysis, long-range transcriptional regulatory function analysis, gene ontology and pathway enrichment analysis.
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Affiliation(s)
- Chengqi Xu
- College of Life Science and Technology, Center for Human Genome Research and Cardio-X Institute, Huazhong University of Science and Technology, Wuhan 430074, P. R. China
| | - Rongfeng Zhang
- Department of Cardiology, First Affiliated Hospital of Dalian Medical University, Dalian 116011, P. R. China
| | - Yunlong Xia
- Department of Cardiology, First Affiliated Hospital of Dalian Medical University, Dalian 116011, P. R. China
| | - Liang Xiong
- Department of Clinical Laboratory, Liyuan Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430077, P. R. China
| | - Wei Yang
- Jilin Provincial Key Laboratory on Molecular and Chemical Genetic, The Second Hospital of Jilin University, Changchun 130041, P. R. China
| | - Pengyun Wang
- Department of Clinical Laboratory, Liyuan Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430077, P. R. China
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12
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Yoshimoto Y, Ikemoto-Uezumi M, Hitachi K, Fukada SI, Uezumi A. Methods for Accurate Assessment of Myofiber Maturity During Skeletal Muscle Regeneration. Front Cell Dev Biol 2020; 8:267. [PMID: 32391357 PMCID: PMC7188918 DOI: 10.3389/fcell.2020.00267] [Citation(s) in RCA: 42] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2020] [Accepted: 03/30/2020] [Indexed: 01/23/2023] Open
Abstract
Adult skeletal muscle has a remarkable ability to regenerate. Regeneration of mature muscle fibers is dependent on muscle stem cells called satellite cells. Although they are normally in a quiescent state, satellite cells are rapidly activated after injury, and subsequently proliferate and differentiate to make new muscle fibers. Myogenesis is a highly orchestrated biological process and has been extensively studied, and therefore many parameters that can precisely evaluate regenerating events have been established. However, in some cases, it is necessary to evaluate the completion of regeneration rather than ongoing regeneration. In this study, we establish methods for assessing the myofiber maturation during muscle regeneration. By carefully comparing expression patterns of several muscle regeneration-related genes, we found that expression of Myozenin (Myoz1 and Myoz3), Troponin I (Tnni2), and Dystrophin (Dmd) is gradually increased as muscle regeneration proceeds. In contrast, commonly used regeneration markers such as Myh3 and Myh8 are transiently upregulated after muscle injury but their expression decreases as regeneration progresses. Intriguingly, upregulation of Myoz1, Myoz3 and Tnni2 cannot be achieved in cultured myotubes, indicating that these markers are excellent indicators to assess myofiber maturity. We also show that analyzing re-expression of Myoz1 and dystrophin in individual fiber during regeneration enables accurate assessment of myofiber maturity at the single-myofiber level. Together, our study provides valuable methods that are useful in evaluating muscle regeneration and the efficacy of therapeutic strategies for muscle diseases.
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Affiliation(s)
- Yuki Yoshimoto
- Muscle Aging and Regenerative Medicine, Tokyo Metropolitan Institute of Gerontology, Tokyo, Japan
| | - Madoka Ikemoto-Uezumi
- Muscle Aging and Regenerative Medicine, Tokyo Metropolitan Institute of Gerontology, Tokyo, Japan
| | - Keisuke Hitachi
- Division for Therapies against Intractable Diseases, Institute for Comprehensive Medical Science, Fujita Health University, Toyoake, Japan
| | - So-Ichiro Fukada
- Project for Muscle Stem Cell Biology, Graduate School of Pharmaceutical Sciences, Osaka University, Suita, Japan
| | - Akiyoshi Uezumi
- Muscle Aging and Regenerative Medicine, Tokyo Metropolitan Institute of Gerontology, Tokyo, Japan
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13
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Structure and Function of Filamin C in the Muscle Z-Disc. Int J Mol Sci 2020; 21:ijms21082696. [PMID: 32295012 PMCID: PMC7216277 DOI: 10.3390/ijms21082696] [Citation(s) in RCA: 47] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2020] [Revised: 04/08/2020] [Accepted: 04/09/2020] [Indexed: 12/22/2022] Open
Abstract
Filamin C (FLNC) is one of three filamin proteins (Filamin A (FLNA), Filamin B (FLNB), and FLNC) that cross-link actin filaments and interact with numerous binding partners. FLNC consists of a N-terminal actin-binding domain followed by 24 immunoglobulin-like repeats with two intervening calpain-sensitive hinges separating R15 and R16 (hinge 1) and R23 and R24 (hinge-2). The FLNC subunit is dimerized through R24 and calpain cleaves off the dimerization domain to regulate mobility of the FLNC subunit. FLNC is localized in the Z-disc due to the unique insertion of 82 amino acid residues in repeat 20 and necessary for normal Z-disc formation that connect sarcomeres. Since phosphorylation of FLNC by PKC diminishes the calpain sensitivity, assembly, and disassembly of the Z-disc may be regulated by phosphorylation of FLNC. Mutations of FLNC result in cardiomyopathy and muscle weakness. Although this review will focus on the current understanding of FLNC structure and functions in muscle, we will also discuss other filamins because they share high sequence similarity and are better characterized. We will also discuss a possible role of FLNC as a mechanosensor during muscle contraction.
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14
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Verdonschot JAJ, Vanhoutte EK, Claes GRF, Helderman-van den Enden ATJM, Hoeijmakers JGJ, Hellebrekers DMEI, de Haan A, Christiaans I, Lekanne Deprez RH, Boen HM, van Craenenbroeck EM, Loeys BL, Hoedemaekers YM, Marcelis C, Kempers M, Brusse E, van Waning JI, Baas AF, Dooijes D, Asselbergs FW, Barge-Schaapveld DQCM, Koopman P, van den Wijngaard A, Heymans SRB, Krapels IPC, Brunner HG. A mutation update for the FLNC gene in myopathies and cardiomyopathies. Hum Mutat 2020; 41:1091-1111. [PMID: 32112656 PMCID: PMC7318287 DOI: 10.1002/humu.24004] [Citation(s) in RCA: 82] [Impact Index Per Article: 20.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2019] [Revised: 02/12/2020] [Accepted: 02/25/2020] [Indexed: 12/11/2022]
Abstract
Filamin C (FLNC) variants are associated with cardiac and muscular phenotypes. Originally, FLNC variants were described in myofibrillar myopathy (MFM) patients. Later, high‐throughput screening in cardiomyopathy cohorts determined a prominent role for FLNC in isolated hypertrophic and dilated cardiomyopathies (HCM and DCM). FLNC variants are now among the more prevalent causes of genetic DCM. FLNC‐associated DCM is associated with a malignant clinical course and a high risk of sudden cardiac death. The clinical spectrum of FLNC suggests different pathomechanisms related to variant types and their location in the gene. The appropriate functioning of FLNC is crucial for structural integrity and cell signaling of the sarcomere. The secondary protein structure of FLNC is critical to ensure this function. Truncating variants with subsequent haploinsufficiency are associated with DCM and cardiac arrhythmias. Interference with the dimerization and folding of the protein leads to aggregate formation detrimental for muscle function, as found in HCM and MFM. Variants associated with HCM are predominantly missense variants, which cluster in the ROD2 domain. This domain is important for binding to the sarcomere and to ensure appropriate cell signaling. We here review FLNC genotype–phenotype correlations based on available evidence.
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Affiliation(s)
- Job A J Verdonschot
- Department of Clinical Genetics, Maastricht University Medical Center, Maastricht, The Netherlands.,Department of Cardiology, Cardiovascular Research Institute (CARIM), Maastricht University Medical Center, Maastricht, The Netherlands
| | - Els K Vanhoutte
- Department of Clinical Genetics, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Godelieve R F Claes
- Department of Clinical Genetics, Maastricht University Medical Center, Maastricht, The Netherlands
| | | | | | - Debby M E I Hellebrekers
- Department of Clinical Genetics, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Amber de Haan
- Department of Clinical Genetics, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Imke Christiaans
- Department of Clinical Genetics, Amsterdam University Medical Center, Amsterdam, The Netherlands.,Department of Clinical Genetics, University Medical Centre Groningen, Groningen, The Netherlands
| | - Ronald H Lekanne Deprez
- Department of Clinical Genetics, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | - Hanne M Boen
- Department of Cardiology, Antwerp University Hospital, University of Antwerp, Antwerp, Belgium
| | | | - Bart L Loeys
- Department of Medical Genetics, Antwerp University Hospital, University of Antwerp, Antwerp, Belgium
| | - Yvonne M Hoedemaekers
- Department of Clinical Genetics, University Medical Centre Groningen, Groningen, The Netherlands.,Department of Clinical Genetics, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - Carlo Marcelis
- Department of Clinical Genetics, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - Marlies Kempers
- Department of Clinical Genetics, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - Esther Brusse
- Department of Neurology, Erasmus MC University Medical Centre, Rotterdam, The Netherlands
| | - Jaap I van Waning
- Department of Clinical Genetics, Erasmus Medical Center, Rotterdam, The Netherlands.,Department of Cardiology, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - Annette F Baas
- Department of Genetics, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Dennis Dooijes
- Department of Genetics, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Folkert W Asselbergs
- Department of Cardiology, University Medical Center Utrecht, Utrecht, The Netherlands
| | | | | | - Arthur van den Wijngaard
- Department of Clinical Genetics, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Stephane R B Heymans
- Department of Cardiology, Cardiovascular Research Institute (CARIM), Maastricht University Medical Center, Maastricht, The Netherlands.,Department of Cardiovascular Sciences, Centre for Molecular and Vascular Biology, KU Leuven, Leuven, Belgium.,The Netherlands Heart Institute, Utrecht, The Netherlands
| | - Ingrid P C Krapels
- Department of Clinical Genetics, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Han G Brunner
- Department of Clinical Genetics, Maastricht University Medical Center, Maastricht, The Netherlands.,Department of Clinical Genetics, Radboud University Medical Centre, Nijmegen, The Netherlands.,Department of Genetics and Cell Biology, GROW Institute for Developmental Biology and Cancer, Maastricht University Medical Centre, Maastricht, The Netherlands
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15
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X Cai L, Tanada Y, D Bello G, C Fleming J, F Alkassis F, Ladd T, Golde T, Koh J, Chen S, Kasahara H. Cardiac MLC2 kinase is localized to the Z-disc and interacts with α-actinin2. Sci Rep 2019; 9:12580. [PMID: 31467300 PMCID: PMC6715661 DOI: 10.1038/s41598-019-48884-w] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2019] [Accepted: 08/13/2019] [Indexed: 02/07/2023] Open
Abstract
Cardiac contractility is enhanced by phosphorylation of myosin light chain 2 (MLC2) by cardiac-specific MLC kinase (cMLCK), located at the neck region of myosin heavy chain. In normal mouse and human hearts, the level of phosphorylation is maintained relatively constant, at around 30-40% of total MLC2, likely by well-balanced phosphorylation and phosphatase-dependent dephosphorylation. Overexpression of cMLCK promotes sarcomere organization, while the loss of cMLCK leads to cardiac atrophy in vitro and in vivo. In this study, we showed that cMLCK is predominantly expressed at the Z-disc with additional diffuse cytosolic expression in normal adult mouse and human hearts. cMLCK interacts with the Z-disc protein, α-actinin2, with a high-affinity kinetic value of 13.4 ± 0.1 nM through the N-terminus region of cMLCK unique to cardiac-isoform. cMLCK mutant deficient for interacting with α-actinin2 did not promote sarcomeric organization and reduced cardiomyocyte cell size. In contrast, a cMLCK kinase-deficient mutant showed effects similar to wild-type cMLCK on sarcomeric organization and cardiomyocyte cell size. Our results suggest that cMLCK plays a role in sarcomere organization, likely distinct from its role in phosphorylating MLC2, both of which will contribute to the enhancement of cardiac contractility.
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Affiliation(s)
- Lawrence X Cai
- Department of Physiology and Functional Genomics, University of Florida, College of Medicine, Gainesville, FL, 32610, USA
| | - Yohei Tanada
- Department of Physiology and Functional Genomics, University of Florida, College of Medicine, Gainesville, FL, 32610, USA
| | - Gregory D Bello
- Department of Physiology and Functional Genomics, University of Florida, College of Medicine, Gainesville, FL, 32610, USA
| | - James C Fleming
- Department of Physiology and Functional Genomics, University of Florida, College of Medicine, Gainesville, FL, 32610, USA
| | - Fariz F Alkassis
- Department of Physiology and Functional Genomics, University of Florida, College of Medicine, Gainesville, FL, 32610, USA
| | - Thomas Ladd
- Department of Neuroscience, University of Florida, College of Medicine, Gainesville, FL, 32610, USA
| | - Todd Golde
- Department of Neuroscience, University of Florida, College of Medicine, Gainesville, FL, 32610, USA
| | - Jin Koh
- Proteomics and Mass Spectrometry, Interdisciplinary Center for Biotechnology Research (ICBR), University of Florida, Gainesville, FL, 32610, USA
| | - Sixue Chen
- Proteomics and Mass Spectrometry, Interdisciplinary Center for Biotechnology Research (ICBR), University of Florida, Gainesville, FL, 32610, USA.,Department of Biology, Genetics Institute, Plant Molecular and Cellular Biology Program, University of Florida, Gainesville, FL, 32610, USA
| | - Hideko Kasahara
- Department of Physiology and Functional Genomics, University of Florida, College of Medicine, Gainesville, FL, 32610, USA.
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16
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Wang Y, Gao S, Zhao Y, Chen WH, Shao JJ, Wang NN, Li M, Zhou GX, Wang L, Shen WJ, Xu JT, Deng WD, Wang W, Chen YL, Jiang Y. Allele-specific expression and alternative splicing in horse×donkey and cattle×yak hybrids. Zool Res 2019; 40:293-304. [PMID: 31271004 PMCID: PMC6680129 DOI: 10.24272/j.issn.2095-8137.2019.042] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023] Open
Abstract
Divergence of gene expression and alternative splicing is a crucial driving force in the evolution of species; to date, however the molecular mechanism remains unclear. Hybrids of closely related species provide a suitable model to analyze allele-specific expression (ASE) and allele-specific alternative splicing (ASS). Analysis of ASE and ASS can uncover the differences in cis-regulatory elements between closely related species, while eliminating interference of trans-regulatory elements. Here, we provide a detailed characterization of ASE and ASS from 19 and 10 transcriptome datasets across five tissues from reciprocal-cross hybrids of horse×donkey (mule/hinny) and cattle×yak (dzo), respectively. Results showed that 4.8%-8.7% and 10.8%-16.7% of genes exhibited ASE and ASS, respectively. Notably, lncRNAs and pseudogenes were more likely to show ASE than protein-coding genes. In addition, genes showing ASE and ASS in mule/hinny were found to be involved in the regulation of muscle strength, whereas those of dzo were involved in high-altitude adaptation. In conclusion, our study demonstrated that exploration of genes showing ASE and ASS in hybrids of closely related species is feasible for species evolution research.
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Affiliation(s)
- Yu Wang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling Shaanxi 712100, China
| | - Shan Gao
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling Shaanxi 712100, China
| | - Yue Zhao
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling Shaanxi 712100, China
| | - Wei-Huang Chen
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling Shaanxi 712100, China
| | - Jun-Jie Shao
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling Shaanxi 712100, China
| | - Ni-Ni Wang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling Shaanxi 712100, China
| | - Ming Li
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling Shaanxi 712100, China
| | - Guang-Xian Zhou
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling Shaanxi 712100, China
| | - Lei Wang
- Stake Key Laboratory of Plateau Ecology and Agriculture, Qinghai Academy of Animal Science and Veterinary Medicine, Qinghai University, Xining Qinghai 810016, China
| | - Wen-Jing Shen
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming Yunnan 650223, China
| | - Jing-Tao Xu
- Stake Key Laboratory of Plateau Ecology and Agriculture, Qinghai Academy of Animal Science and Veterinary Medicine, Qinghai University, Xining Qinghai 810016, China
| | - Wei-Dong Deng
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming Yunnan 650223, China
| | - Wen Wang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming Yunnan 650223, China
| | - Yu-Lin Chen
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling Shaanxi 712100, China
| | - Yu Jiang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling Shaanxi 712100, China
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17
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Blondelle J, Tallapaka K, Seto JT, Ghassemian M, Clark M, Laitila JM, Bournazos A, Singer JD, Lange S. Cullin-3 dependent deregulation of ACTN1 represents a new pathogenic mechanism in nemaline myopathy. JCI Insight 2019; 5:125665. [PMID: 30990797 PMCID: PMC6542616 DOI: 10.1172/jci.insight.125665] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2018] [Accepted: 04/11/2019] [Indexed: 12/11/2022] Open
Abstract
Nemaline myopathy is a congenital neuromuscular disorder characterized by muscle weakness, fiber atrophy and presence of nemaline bodies within myofibers. However, the understanding of underlying pathomechanisms is lacking. Recently, mutations in KBTBD13, KLHL40 and KLHL41, three substrate adaptors for the E3-ubiquitin ligase Cullin-3, have been associated with early-onset nemaline myopathies. We hypothesized that deregulation of Cullin-3 and its muscle protein substrates may be responsible for the disease development. Using Cullin-3 knockout mice, we identified accumulation of non-muscle alpha-Actinins (ACTN1 and ACTN4) in muscles of these mice, which we also observed in KBTBD13 patients. Our data reveal that proper regulation of Cullin-3 activity and ACTN1 levels is essential for normal muscle and neuromuscular junction development. While ACTN1 is naturally downregulated during myogenesis, its overexpression in C2C12 myoblasts triggered defects in fusion, myogenesis and acetylcholine receptor clustering; features that we characterized in Cullin-3 deficient mice. Taken together, our data highlight the importance for Cullin-3 mediated degradation of ACTN1 for muscle development, and indicate a new pathomechanism for the etiology of myopathies seen in Cullin-3 knockout mice and nemaline myopathy patients.
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Affiliation(s)
- Jordan Blondelle
- Division of Cardiology, School of Medicine, UCSD, La Jolla, California, USA
| | - Kavya Tallapaka
- Division of Cardiology, School of Medicine, UCSD, La Jolla, California, USA
| | - Jane T. Seto
- Neuromuscular Research, Murdoch Children’s Research Institute, Royal Children’s Hospital, Parkville, Victoria, Australia
- Department of Paediatrics, University of Melbourne, Parkville, Victoria, Australia
| | - Majid Ghassemian
- Department of Chemistry and Biochemistry. UCSD, La Jolla, California, USA
| | - Madison Clark
- Division of Cardiology, School of Medicine, UCSD, La Jolla, California, USA
| | - Jenni M. Laitila
- Folkhälsan Research Center and Medicum, University of Helsinki, Helsinki, Finland
| | - Adam Bournazos
- Kids Neuroscience Centre, Kids Research, Children’s Hospital at Westmead, Sydney, New South Wales, Australia
- Discipline of Child and Adolescent Health, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
| | - Jeffrey D. Singer
- Department of Biology, Portland State University, Portland, Oregon, USA
| | - Stephan Lange
- Division of Cardiology, School of Medicine, UCSD, La Jolla, California, USA
- Wallenberg Laboratory, Department of Molecular and Clinical Medicine, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
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18
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Lassiter K, Kong BC, Piekarski-Welsher A, Dridi S, Bottje WG. Gene Expression Essential for Myostatin Signaling and Skeletal Muscle Development Is Associated With Divergent Feed Efficiency in Pedigree Male Broilers. Front Physiol 2019; 10:126. [PMID: 30873041 PMCID: PMC6401619 DOI: 10.3389/fphys.2019.00126] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2018] [Accepted: 01/31/2019] [Indexed: 12/18/2022] Open
Abstract
Background: Feed efficiency (FE, gain to feed) is an important genetic trait as 70% of the cost of raising animals is due to feed costs. The objective of this study was to determine mRNA expression of genes involved in muscle development and hypertrophy, and the insulin receptor-signaling pathway in breast muscle associated with the phenotypic expression of FE. Methods: Breast muscle samples were obtained from Pedigree Male (PedM) broilers (8 to 10 week old) that had been individually phenotyped for FE between 6 and 7 week of age. The high FE group gained more weight but consumed the same amount of feed compared to the low FE group. Total RNA was extracted from breast muscle (n = 6 per group) and mRNA expression of target genes was determined by real-time quantitative PCR. Results: Targeted gene expression analysis in breast muscle of the high FE phenotype revealed that muscle development may be fostered in the high FE PedM phenotype by down-regulation several components of the myostatin signaling pathway genes combined with upregulation of genes that enhance muscle formation and growth. There was also evidence of genetic architecture that would foster muscle protein synthesis in the high FE phenotype. A clear indication of differences in insulin signaling between high and low FE phenotypes was not apparent in this study. Conclusion: These findings indicate that a gene expression architecture is present in breast muscle of PedM broilers exhibiting high FE that would support enhanced muscle development-differentiation as well as protein synthesis compared to PedM broilers exhibiting low FE.
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Affiliation(s)
- Kentu Lassiter
- Department of Poultry Science, Center of Excellence for Poultry Science, University of Arkansas, Fayetteville, AR, United States
| | - Byungwhi Caleb Kong
- Department of Poultry Science, Center of Excellence for Poultry Science, University of Arkansas, Fayetteville, AR, United States
| | | | - Sami Dridi
- Department of Poultry Science, Center of Excellence for Poultry Science, University of Arkansas, Fayetteville, AR, United States
| | - Walter Gay Bottje
- Department of Poultry Science, Center of Excellence for Poultry Science, University of Arkansas, Fayetteville, AR, United States
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19
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Zhang J, Schmidt CJ, Lamont SJ. Distinct genes and pathways associated with transcriptome differences in early cardiac development between fast- and slow-growing broilers. PLoS One 2018; 13:e0207715. [PMID: 30517173 PMCID: PMC6281182 DOI: 10.1371/journal.pone.0207715] [Citation(s) in RCA: 5] [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: 07/09/2018] [Accepted: 11/04/2018] [Indexed: 12/21/2022] Open
Abstract
Modern fast-growing broilers are susceptible to cardiac dysfunctions because their relatively small hearts cannot adequately meet the increased need of pumping blood through a large body mass. To improve cardiac health in broilers through breeding, we need to identify the genes and pathways that contribute to imbalanced cardiac development and occurrence of heart dysfunction. Two broiler lines–Ross 708 and Illinois–were included in this study as models of modern fast-growing and heritage slow-growing broilers, respectively. The left ventricular transcriptome were compared between the two broiler lines at day 6 and 21 post hatch through RNA-seq analysis to identify genes and pathways regulating compromised cardiac development in modern broilers. Number of differentially expressed genes (DEGs, p<0.05) between the two broiler lines increased from 321 at day 6 to 819 at day 21. As the birds grew, Ross broilers showed more DEGs (n = 1879) than Illinois broilers (n = 1117). Both broilers showed significant change of muscle related genes and immune genes, but Ross broilers showed remarkable change of expression of several lipid transporter genes including APOA4, APOB, APOH, FABP4 and RBP7. Ingenuity pathway analysis (IPA) suggested that increased cell apoptosis and inhibited cell cycle due to increased lipid accumulation, oxidative stress and endoplasmic reticulum stress may be related to the increased cardiac dysfunctions in fast-growing broilers. Cell cycle regulatory pathways like “Mitotic Roles of Polo-like Kinases” are ranked as the top changed pathways related to the cell apoptosis. These findings provide further insight into the cardiac dysfunction in modern broilers and also potential targets for improvement of their cardiac health through breeding.
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Affiliation(s)
- Jibin Zhang
- Department of Animal Science, Iowa State University, Ames, IA, United States of America
| | - Carl J. Schmidt
- Department of Animal and Food Sciences, University of Delaware, Newark, DE, United States of America
| | - Susan J. Lamont
- Department of Animal Science, Iowa State University, Ames, IA, United States of America
- * E-mail:
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20
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Gene Screening of Astrocytoma Grade III Relative to Grade II via Network Analysis: A New Molecular Insight. INTERNATIONAL JOURNAL OF CANCER MANAGEMENT 2018. [DOI: 10.5812/ijcm.83201] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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21
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Zhang Q, Cao Y, Chen J, Shen J, Ke D, Wang X, Ji J, Xu Y, Zhang W, Shen Y, Wang D, Pan D, Wang Z, Shi Y, Cheng S, Zhao Y, Lu D. ACTN3 is associated with children's physical fitness in Han Chinese. Mol Genet Genomics 2018; 294:47-56. [PMID: 30167790 DOI: 10.1007/s00438-018-1485-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2018] [Accepted: 08/23/2018] [Indexed: 10/28/2022]
Abstract
The ACTN3 gene locates on 11q13-q14 and encodes the α-actinin-3 protein, which is only expressed in human skeletal muscle and influenced muscle function and metabolism. The previous studies reported that SNP rs1815739 is associated with elite power athletes' performance. In this study, we investigated the association between five SNPs within the ACTN3 gene and Chinese children physical fitness. We recruited 2244 Han Chinese children participants, and measured their 25-m run, stand broad jump, 10-m shuttle run, handgrip, BMI (calculated by weight and height) data. SNPs rs1671064, rs2275998, rs2290463, rs10791881, and rs1815739 of ACTN3 gene were genotyped and analyzed in five physical fitness data. QTL analysis on genotype and physical fitness data was carried out in all samples. Furthermore, a dichotomous division of samples into an overweight group (543) and a normal group (1701) was used for an association study of overweight. In the QTL analysis, we found rs2290463 was significantly associated with stand broad jump (corrected P value = 0.009, beta = 2.692). After added age and gender as covariates in the regression test, the association became more significant (P value = 5.80 × 10- 5, corrected P value = 4.06 × 10- 4); when we used BMI as a covariate, the association still existed (P value = 4.65 × 10- 4, corrected P value = 0.001). In the association study of overweight, rs2275998 was found to be significant (OR, 95% CI = 0.733 [0.6-0.895]; Pallele = 0.011, Pgenotype = 0.024) after the Bonferroni correction, and the association did not change much after a further correction for gender, age, and stand broad jump performance. Our results showed that common variants in ACTN3 are significantly associated with both stand broad jump performance and overweight in Han Chinese children.
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Affiliation(s)
- Qiyue Zhang
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), the Collaborative Innovation Center for Brain Science, Shanghai Jiao Tong University, Shanghai, 200030, China
| | - Yixuan Cao
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), the Collaborative Innovation Center for Brain Science, Shanghai Jiao Tong University, Shanghai, 200030, China
| | - Jianhua Chen
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), the Collaborative Innovation Center for Brain Science, Shanghai Jiao Tong University, Shanghai, 200030, China.,Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, China
| | - Jiawei Shen
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), the Collaborative Innovation Center for Brain Science, Shanghai Jiao Tong University, Shanghai, 200030, China.,Graduate School of Health and Sports Science, Juntendo University, Chiba, 270-1695, Japan
| | - Dandan Ke
- Human Sports Science Department, Shanghai University of Sports, Shanghai, 200438, China.,Graduate School of Health and Sports Science, Juntendo University, Chiba, 270-1695, Japan
| | - Xiaofei Wang
- Human Sports Science Department, Shanghai University of Sports, Shanghai, 200438, China
| | - Jue Ji
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), the Collaborative Innovation Center for Brain Science, Shanghai Jiao Tong University, Shanghai, 200030, China
| | - Yufeng Xu
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), the Collaborative Innovation Center for Brain Science, Shanghai Jiao Tong University, Shanghai, 200030, China
| | - Weijie Zhang
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), the Collaborative Innovation Center for Brain Science, Shanghai Jiao Tong University, Shanghai, 200030, China
| | - Yinhuan Shen
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), the Collaborative Innovation Center for Brain Science, Shanghai Jiao Tong University, Shanghai, 200030, China
| | - Dong Wang
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), the Collaborative Innovation Center for Brain Science, Shanghai Jiao Tong University, Shanghai, 200030, China
| | - Dun Pan
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), the Collaborative Innovation Center for Brain Science, Shanghai Jiao Tong University, Shanghai, 200030, China
| | - Zhuo Wang
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), the Collaborative Innovation Center for Brain Science, Shanghai Jiao Tong University, Shanghai, 200030, China
| | - Yongyong Shi
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), the Collaborative Innovation Center for Brain Science, Shanghai Jiao Tong University, Shanghai, 200030, China.
| | - Shulin Cheng
- Physical Education Department, Shanghai Jiao Tong University, Shanghai, 200042, China
| | - Ying Zhao
- Physical Education Department, Shanghai Jiao Tong University, Shanghai, 200042, China
| | - Dajiang Lu
- Human Sports Science Department, Shanghai University of Sports, Shanghai, 200438, China
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22
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Li Q, Liu R, Zhao H, Di R, Lu Z, Liu E, Wang Y, Chu M, Wei C. Identification and Characterization of Long Noncoding RNAs in Ovine Skeletal Muscle. Animals (Basel) 2018; 8:ani8070127. [PMID: 30041440 PMCID: PMC6071021 DOI: 10.3390/ani8070127] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2018] [Revised: 07/13/2018] [Accepted: 07/17/2018] [Indexed: 01/06/2023] Open
Abstract
Simple Summary LncRNAs may play important role in many biological processes. The aims of this research were to identify potential lncRNAs active in skeletal muscle of the Texel and Ujumqin sheep and investigate their functions. Overall, 2002 lncRNA transcripts were found, some of which may be related to muscle development. The findings obtained here should promote understanding of the regulatory functions of lncRNAs in ovine muscle development and potentially also in other mammals. Abstract Long noncoding RNAs (lncRNAs) are increasingly being recognized as key regulators in many cellular processes. However, few reports of them in livestock have been published. Here, we describe the identification and characterization of lncRNAs in ovine skeletal muscle. Eight libraries were constructed from the gastrocnemius muscle of fetal (days 85 and 120), newborn and adult Texel and Ujumqin sheep. The 2002 identified transcripts shared some characteristics, such as their number of exons, length and distribution. We also identified some coding genes near these lncRNA transcripts, which are particularly associated with transcriptional regulation- and development-related processes, suggesting that the lncRNAs are associated with muscle development. In addition, in pairwise comparisons between the libraries of the same stage in different breeds, a total of 967 transcripts were differentially expressed but just 15 differentially expressed lncRNAs were common to all stages. Among them, we found that TCONS_00013201 exhibited higher expression in Ujumqin samples, while TCONS_00006187 and TCONS_00083104 were higher in Texel samples. Moreover, TCONS_00044801, TCONS_00008482 and TCONS_00102859 were almost completely absent from Ujumqin samples. Our results suggest that differences in the expression of these lncRNAs may be associated with the muscular differences observed between Texel and Ujumqin sheep breeds.
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Affiliation(s)
- Qing Li
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
| | - Ruizao Liu
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
| | - Huijing Zhao
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
| | - Ran Di
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
| | - Zengkui Lu
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
- College of Animal Science and Technology, Gansu Agriculture University, Lanzhou 730070, China.
| | - Enmin Liu
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
| | - Yuqin Wang
- College of Animal Science and Technology, Henan University of Science and Technology, Luoyang 471023, China.
| | - Mingxing Chu
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
| | - Caihong Wei
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
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Hsu CP, Moghadaszadeh B, Hartwig JH, Beggs AH. Sarcomeric and nonmuscle α-actinin isoforms exhibit differential dynamics at skeletal muscle Z-lines. Cytoskeleton (Hoboken) 2018; 75:213-228. [PMID: 29518289 PMCID: PMC5943145 DOI: 10.1002/cm.21442] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2017] [Revised: 03/02/2018] [Accepted: 03/05/2018] [Indexed: 01/12/2023]
Abstract
The α-actinin proteins are a highly conserved family of actin crosslinkers that mediate interactions between several cytoskeletal and sarcomeric proteins. Nonsarcomeric α-actinin-1 and α-actinin-4 crosslink actin filaments in the cytoskeleton, while sarcomeric α-actinin-2 and α-actinin-3 serve a crucial role in anchoring actin filaments to the muscle Z-line. To assess the difference in turnover dynamics and structure/function properties between the α-actinin isoforms at the sarcomeric Z-line, we used Fluorescence Recovery After Photobleaching (FRAP) in primary myofiber cultures. We found that the recovery kinetics of these proteins followed three distinct patterns: α-actinin-2/α-actinin-3 had the slowest turn over, α-actinin-1 recovered to an intermediate degree, and α-actinin-4 had the fastest recovery. Interestingly, the isoforms' patterns of recovery were reversed at adhesion plaques in fibroblasts. This disparity suggests that the different α-actinin isoforms have unique association kinetics in myofibers and that nonmuscle isoform interactions are more dynamic at the sarcomeric Z-line. Protein domain-specific investigations using α-actinin-2/4 chimeric proteins showed that differential dynamics between sarcomeric and nonmuscle isoforms are regulated by cooperative interactions between the N-terminal actin-binding domain, the spectrin-like linker region and the C-terminal calmodulin-like EF hand domain. Together, these findings demonstrate that α-actinin isoforms are unique in binding dynamics at the Z-line and suggest differentially evolved interactive and Z-line association capabilities of each functional domain.
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Affiliation(s)
- Cynthia P Hsu
- Division of Genetics and Genomics, The Manton Center for Orphan Disease Research, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Behzad Moghadaszadeh
- Division of Genetics and Genomics, The Manton Center for Orphan Disease Research, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - John H Hartwig
- Translational Medicine Division, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Alan H Beggs
- Division of Genetics and Genomics, The Manton Center for Orphan Disease Research, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115, USA
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24
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Wang YN, Yang WC, Li PW, Wang HB, Zhang YY, Zan LS. Myocyte enhancer factor 2A promotes proliferation and its inhibition attenuates myogenic differentiation via myozenin 2 in bovine skeletal muscle myoblast. PLoS One 2018; 13:e0196255. [PMID: 29698438 PMCID: PMC5919640 DOI: 10.1371/journal.pone.0196255] [Citation(s) in RCA: 34] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2017] [Accepted: 04/09/2018] [Indexed: 12/18/2022] Open
Abstract
Myocyte enhancer factor 2A (MEF2A) is widely distributed in various tissues or organs and plays crucial roles in multiple biological processes. To examine the potential effects of MEF2A on skeletal muscle myoblast, the functional role of MFE2A in myoblast proliferation and differentiation was investigated. In this study, we found that the mRNA expression level of Mef2a was dramatically increased during the myogenesis of bovine skeletal muscle primary myoblast. Overexpression of MEF2A significantly promoted myoblast proliferation, while knockdown of MEF2A inhibited the proliferation and differentiation of myoblast. RT-PCR and western blot analysis revealed that this positive effect of MEF2A on the proliferation of myoblast was carried out by triggering cell cycle progression by activating CDK2 protein expression. Besides, MEF2A was found to be an important transcription factor that bound to the myozenin 2 (MyoZ2) proximal promoter and performed upstream of MyoZ2 during myoblast differentiation. This study provides the first experimental evidence that MEF2A is a positive regulator in skeletal muscle myoblast proliferation and suggests that MEF2A regulates myoblast differentiation via regulating MyoZ2.
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Affiliation(s)
- Ya-Ning Wang
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, China
- National Beef Cattle Improvement Center in China, Yangling, Shaanxi, P. R. China
| | - Wu-Cai Yang
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, China
- National Beef Cattle Improvement Center in China, Yangling, Shaanxi, P. R. China
| | - Pei-Wei Li
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, China
- National Beef Cattle Improvement Center in China, Yangling, Shaanxi, P. R. China
| | - Hong-Bao Wang
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, China
- National Beef Cattle Improvement Center in China, Yangling, Shaanxi, P. R. China
| | - Ying-Ying Zhang
- Animal Husbandry and Veterinary Research Institute, Shanghai Academy of Agricultural Sciences, Shanghai, P. R. China
| | - Lin-Sen Zan
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, China
- National Beef Cattle Improvement Center in China, Yangling, Shaanxi, P. R. China
- National and Provincial Joint Engineering Research Center of Modern Cattle Biotechnology and Applications, Yangling, Shaanxi, P. R. China
- * E-mail:
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25
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Ye M, Ye F, He L, Luo B, Yang F, Cui C, Zhao X, Yin H, Li D, Xu H, Wang Y, Zhu Q. Transcriptomic analysis of chicken Myozenin 3 regulation reveals its potential role in cell proliferation. PLoS One 2017; 12:e0189476. [PMID: 29236749 PMCID: PMC5728575 DOI: 10.1371/journal.pone.0189476] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2017] [Accepted: 11/28/2017] [Indexed: 11/19/2022] Open
Abstract
Embryonic muscle development and fibre type differentiation has always been a topic of great importance due to its impact on both human health and farm animal financial values. Myozenin3 (Myoz3) is an important candidate gene that may regulate these processes. In the current study, we knocked down and overexpressed Myoz3 in chicken embryonic fibroblasts (CEFs) and chicken myoblasts, then utilized RNA-seq technology to screen genes, pathways and biological processes associated with Myoz3. Multiple differentially expressed genes were identified, including MYH10, MYLK2, NFAM1, MYL4, MYL9, PDZLIM1; those can in turn regulate each other and influence the development of muscle fibres. Gene ontology (GO) terms including some involved in positive regulation of cell proliferation were enriched. We further validated our results by testing the activity of cells by cell counting kit-8(CCK-8) and confirmed that under the condition of Myoz3 overexpression, the proliferation rate of CEFs and myoblasts was significantly upregulated, in addition, expression level of fast muscle specific gene was also significantly upregulated in myoblasts. Pathway enrichment analysis revealed that the PPAR (Peroxisome Proliferator-Activated Receptor) pathway was enriched, suggesting the possibility that Myoz3 regulates muscle fibre development and differentiation through the PPAR pathway. Our results provide valuable evidence regarding the regulatory functions of Myoz3 in embryonic cells by screening multiple candidate genes, biological processes and pathways associated with Myoz3.
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Affiliation(s)
- Maosen Ye
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu Campus, Chengdu, China
| | - Fei Ye
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu Campus, Chengdu, China
| | - Liutao He
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu Campus, Chengdu, China
| | - Bin Luo
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu Campus, Chengdu, China
| | - Fuling Yang
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu Campus, Chengdu, China
| | - Can Cui
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu Campus, Chengdu, China
| | - Xiaoling Zhao
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu Campus, Chengdu, China
| | - Huadong Yin
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu Campus, Chengdu, China
| | - Diyan Li
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu Campus, Chengdu, China
| | - Hengyong Xu
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu Campus, Chengdu, China
| | - Yan Wang
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu Campus, Chengdu, China
- * E-mail: (YW); (QZ)
| | - Qing Zhu
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu Campus, Chengdu, China
- * E-mail: (YW); (QZ)
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26
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Wang L, Cai B, Zhou S, Zhu H, Qu L, Wang X, Chen Y. RNA-seq reveals transcriptome changes in goats following myostatin gene knockout. PLoS One 2017; 12:e0187966. [PMID: 29228005 PMCID: PMC5724853 DOI: 10.1371/journal.pone.0187966] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2017] [Accepted: 10/30/2017] [Indexed: 12/17/2022] Open
Abstract
Myostatin (MSTN) is a powerful negative regulator of skeletal muscle mass in mammalian species that is primarily expressed in skeletal muscles, and mutations of its encoding gene can result in the double-muscling trait. In this study, the CRISPR/Cas9 technique was used to edit MSTN in Shaanbei Cashmere goats and generate knockout animals. RNA sequencing was used to determine and compare the transcriptome profiles of the muscles from three wild-type (WT) goats, three fibroblast growth factor 5 (FGF5) knockout goats (FGF5+/- group) and three goats with disrupted expression of both the FGF5 and MSTN genes (FM+/- group). The sequence reads were obtained using the Illumina HiSeq 2000 system and mapped to the Capra hircus reference genome using TopHat (v2.0.9). In total, 68.93, 62.04 and 66.26 million clean sequencing reads were obtained from the WT, FM+/- and FGF5+/- groups, respectively. There were 201 differentially expressed genes (DEGs) between the WT and FGF5+/- groups, with 86 down- and 115 up-regulated genes in the FGF5+/- group. Between the WT and FM+/- groups, 121 DEGs were identified, including 81 down- and 40 up-regulated genes in the FM+/- group. A total of 198 DEGs were detected between the FGF5+/- group and FM+/- group, with 128 down- and 70 up-regulated genes in the FM+/- group. At the transcriptome level, we found substantial changes in genes involved in fatty acid metabolism and the biosynthesis of unsaturated fatty acids, such as stearoyl-CoA dehydrogenase, 3-hydroxyacyl-CoA dehydratase 2, ELOVL fatty acid elongase 6 and fatty acid synthase, suggesting that the expression levels of these genes may be directly regulated by MSTN and that these genes are likely downstream targets of MSTN with potential roles in lipid metabolism in goats. Moreover, five randomly selected DEGs were further validated with qRT-PCR, and the results were consistent with the transcriptome analysis. The present study provides insight into the unique transcriptome profile of the MSTN knockout goat, which is a valuable resource for studying goat genomics.
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Affiliation(s)
- Lamei Wang
- College of Animal Science and Technology, Northwest A&F University, Yangling, China
| | - Bei Cai
- College of Animal Science and Technology, Northwest A&F University, Yangling, China
| | - Shiwei Zhou
- College of Animal Science and Technology, Northwest A&F University, Yangling, China
| | - Haijing Zhu
- Shaanxi Provincial Engineering and Technology Research Center of Cashmere Goats, Yulin, China
- Life Science Research Center, Yulin University, Yulin, China
| | - Lei Qu
- Shaanxi Provincial Engineering and Technology Research Center of Cashmere Goats, Yulin, China
- Life Science Research Center, Yulin University, Yulin, China
| | - Xiaolong Wang
- College of Animal Science and Technology, Northwest A&F University, Yangling, China
| | - Yulin Chen
- College of Animal Science and Technology, Northwest A&F University, Yangling, China
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27
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Kraja AT, Cook JP, Warren HR, Surendran P, Liu C, Evangelou E, Manning AK, Grarup N, Drenos F, Sim X, Smith AV, Amin N, Blakemore AIF, Bork-Jensen J, Brandslund I, Farmaki AE, Fava C, Ferreira T, Herzig KH, Giri A, Giulianini F, Grove ML, Guo X, Harris SE, Have CT, Havulinna AS, Zhang H, Jørgensen ME, Käräjämäki A, Kooperberg C, Linneberg A, Little L, Liu Y, Bonnycastle LL, Lu Y, Mägi R, Mahajan A, Malerba G, Marioni RE, Mei H, Menni C, Morrison AC, Padmanabhan S, Palmas W, Poveda A, Rauramaa R, Rayner NW, Riaz M, Rice K, Richard MA, Smith JA, Southam L, Stančáková A, Stirrups KE, Tragante V, Tuomi T, Tzoulaki I, Varga TV, Weiss S, Yiorkas AM, Young R, Zhang W, Barnes MR, Cabrera CP, Gao H, Boehnke M, Boerwinkle E, Chambers JC, Connell JM, Christensen CK, de Boer RA, Deary IJ, Dedoussis G, Deloukas P, Dominiczak AF, Dörr M, Joehanes R, Edwards TL, Esko T, Fornage M, Franceschini N, Franks PW, Gambaro G, Groop L, Hallmans G, Hansen T, Hayward C, Heikki O, Ingelsson E, Tuomilehto J, Jarvelin MR, Kardia SLR, Karpe F, Kooner JS, Lakka TA, Langenberg C, Lind L, Loos RJF, Laakso M, McCarthy MI, Melander O, Mohlke KL, Morris AP, Palmer CNA, Pedersen O, Polasek O, Poulter NR, Province MA, Psaty BM, Ridker PM, Rotter JI, Rudan I, Salomaa V, Samani NJ, Sever PJ, Skaaby T, Stafford JM, Starr JM, van der Harst P, van der Meer P, van Duijn CM, Vergnaud AC, Gudnason V, Wareham NJ, Wilson JG, Willer CJ, Witte DR, Zeggini E, Saleheen D, Butterworth AS, Danesh J, Asselbergs FW, Wain LV, Ehret GB, Chasman DI, Caulfield MJ, Elliott P, Lindgren CM, Levy D, Newton-Cheh C, Munroe PB, Howson JMM. New Blood Pressure-Associated Loci Identified in Meta-Analyses of 475 000 Individuals. CIRCULATION. CARDIOVASCULAR GENETICS 2017; 10:e001778. [PMID: 29030403 PMCID: PMC5776077 DOI: 10.1161/circgenetics.117.001778] [Citation(s) in RCA: 36] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/04/2017] [Accepted: 08/17/2017] [Indexed: 01/13/2023]
Abstract
BACKGROUND Genome-wide association studies have recently identified >400 loci that harbor DNA sequence variants that influence blood pressure (BP). Our earlier studies identified and validated 56 single nucleotide variants (SNVs) associated with BP from meta-analyses of exome chip genotype data. An additional 100 variants yielded suggestive evidence of association. METHODS AND RESULTS Here, we augment the sample with 140 886 European individuals from the UK Biobank, in whom 77 of the 100 suggestive SNVs were available for association analysis with systolic BP or diastolic BP or pulse pressure. We performed 2 meta-analyses, one in individuals of European, South Asian, African, and Hispanic descent (pan-ancestry, ≈475 000), and the other in the subset of individuals of European descent (≈423 000). Twenty-one SNVs were genome-wide significant (P<5×10-8) for BP, of which 4 are new BP loci: rs9678851 (missense, SLC4A1AP), rs7437940 (AFAP1), rs13303 (missense, STAB1), and rs1055144 (7p15.2). In addition, we identified a potentially independent novel BP-associated SNV, rs3416322 (missense, SYNPO2L) at a known locus, uncorrelated with the previously reported SNVs. Two SNVs are associated with expression levels of nearby genes, and SNVs at 3 loci are associated with other traits. One SNV with a minor allele frequency <0.01, (rs3025380 at DBH) was genome-wide significant. CONCLUSIONS We report 4 novel loci associated with BP regulation, and 1 independent variant at an established BP locus. This analysis highlights several candidate genes with variation that alter protein function or gene expression for potential follow-up.
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28
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Papizan JB, Garry GA, Brezprozvannaya S, McAnally JR, Bassel-Duby R, Liu N, Olson EN. Deficiency in Kelch protein Klhl31 causes congenital myopathy in mice. J Clin Invest 2017; 127:3730-3740. [PMID: 28872460 DOI: 10.1172/jci93445] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2017] [Accepted: 07/19/2017] [Indexed: 01/19/2023] Open
Abstract
Maintenance of muscle structure and function depends on the precise organization of contractile proteins into sarcomeres and coupling of the contractile apparatus to the sarcoplasmic reticulum (SR), which serves as the reservoir for calcium required for contraction. Several members of the Kelch superfamily of proteins, which modulate protein stability as substrate-specific adaptors for ubiquitination, have been implicated in sarcomere formation. The Kelch protein Klhl31 is expressed in a muscle-specific manner under control of the transcription factor MEF2. To explore its functions in vivo, we created a mouse model of Klhl31 loss of function using the CRISPR-Cas9 system. Mice lacking Klhl31 exhibited stunted postnatal skeletal muscle growth, centronuclear myopathy, central cores, Z-disc streaming, and SR dilation. We used proteomics to identify several candidate Klhl31 substrates, including Filamin-C (FlnC). In the Klhl31-knockout mice, FlnC protein levels were highly upregulated with no change in transcription, and we further demonstrated that Klhl31 targets FlnC for ubiquitination and degradation. These findings highlight a role for Klhl31 in the maintenance of skeletal muscle structure and provide insight into the mechanisms underlying congenital myopathies.
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29
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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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30
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Molecular Cloning, Expression Profiling, and Marker Validation of the Chicken Myoz3 Gene. BIOMED RESEARCH INTERNATIONAL 2017; 2017:5930918. [PMID: 28584817 PMCID: PMC5444202 DOI: 10.1155/2017/5930918] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/30/2016] [Revised: 04/12/2017] [Accepted: 04/13/2017] [Indexed: 11/17/2022]
Abstract
Myozenin3 (Myoz3) has been reported to bind multiple Z-disc proteins and hence play a key role in signal transduction and muscle fiber type differentiation. The purpose of current study is to better understand the basic characteristics of Myoz3. Firstly, we cloned the ORF (open reading frame) of the Myoz3 gene. AA (amino acid) sequence analysis revealed that the Myoz3 gene encodes a 26 kDa protein which have 97% identities with that of turkey. Expression profiling showed that Myoz3 mRNA is mainly expressed in leg muscle and breast muscle. Furthermore, we investigated Myoz3 gene polymorphisms in two broiler breeds, the Yellow Bantam (YB) and the Avian. Five SNPs (single nucleotide polymorphisms) were identified in the YB breed and 3 were identified in the Avian breed. Genotypes and haplotype were constructed and their associations with carcass traits were analyzed. In the YB breed, c.516 C>T had a strong effect on both shank bone length and the [Formula: see text] value of breast muscle, and the H1H3 diplotype had the highest FC compared to other diplotypes. The markers identified in this study may serve as useful targets for the marker-assisted selection (MAS) of growth and meat quality traits in chickens.
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31
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Wagner SD, Kurobe T, Hammock BG, Lam CH, Wu G, Vasylieva N, Gee SJ, Hammock BD, Teh SJ. Developmental effects of fipronil on Japanese Medaka (Oryzias latipes) embryos. CHEMOSPHERE 2017; 166:511-520. [PMID: 27710886 PMCID: PMC5560107 DOI: 10.1016/j.chemosphere.2016.09.069] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/15/2016] [Revised: 09/10/2016] [Accepted: 09/15/2016] [Indexed: 05/05/2023]
Abstract
Pesticides in urban runoff are a major source of pollutants in aquatic ecosystems. Fipronil, a phenylpyrazole insecticide, found in structural pest control products, turf grass control, and home pet flea medication, has recently increased in use and is commonly detected in urban runoff. However, little is known about the effects of fipronil on aquatic organisms at early developmental stages. Here, we evaluated toxicity of fipronil to embryos of Japanese Medaka (Oryzias latipes, Qurt strain) using a high-throughput 96-well plate toxicity test. Male and female embryos (<6 h post fertilization) were exposed to concentrations of fipronil ranging from 0.1 to 910 μg L-1 for 14 days or until hatching. Embryos were subjected to gross and microscopic examinations of developmental adverse effects as well as transcriptome analysis using RNA-seq. Results indicated a positive dose-response in reduced hatching success, increased gross deformity (tail curvature) at a lowest-observed-effect concentration (LOEC) of 200 μg L-1 and delayed hatching (∼1 day at the highest concentration, LOEC = 600 μg L-1). The transcriptome analysis indicated that fipronil exposure enhanced expression of titin and telethonin, which are responsible for muscle development. It is therefore possible that the formation of a tail curvature is due to asymmetrical overgrowth of muscle. Our results indicate that sub-lethal effects occur in embryonic stages of an aquatic vertebrate following exposure to high concentrations of fipronil, although no adverse effects at the highest published environmentally relevant concentration (6.3 μg L-1) were observed.
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Affiliation(s)
- Scott D Wagner
- Aquatic Health Program, School of Veterinary Medicine, Department of Anatomy, Physiology, and Cell Biology, University of California, Davis, One Shields Avenue, Davis, CA 95616, USA
| | - Tomofumi Kurobe
- Aquatic Health Program, School of Veterinary Medicine, Department of Anatomy, Physiology, and Cell Biology, University of California, Davis, One Shields Avenue, Davis, CA 95616, USA.
| | - Bruce G Hammock
- Aquatic Health Program, School of Veterinary Medicine, Department of Anatomy, Physiology, and Cell Biology, University of California, Davis, One Shields Avenue, Davis, CA 95616, USA
| | - Chelsea H Lam
- Aquatic Health Program, School of Veterinary Medicine, Department of Anatomy, Physiology, and Cell Biology, University of California, Davis, One Shields Avenue, Davis, CA 95616, USA
| | - Gary Wu
- Aquatic Health Program, School of Veterinary Medicine, Department of Anatomy, Physiology, and Cell Biology, University of California, Davis, One Shields Avenue, Davis, CA 95616, USA
| | - Natalia Vasylieva
- Department of Entomology and UCD Comprehensive Cancer Center, University of California, Davis, One Shields Avenue, Davis, CA 95616, USA
| | - Shirley J Gee
- Department of Entomology and UCD Comprehensive Cancer Center, University of California, Davis, One Shields Avenue, Davis, CA 95616, USA
| | - Bruce D Hammock
- Department of Entomology and UCD Comprehensive Cancer Center, University of California, Davis, One Shields Avenue, Davis, CA 95616, USA
| | - Swee J Teh
- Aquatic Health Program, School of Veterinary Medicine, Department of Anatomy, Physiology, and Cell Biology, University of California, Davis, One Shields Avenue, Davis, CA 95616, USA
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32
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Reimann L, Wiese H, Leber Y, Schwäble AN, Fricke AL, Rohland A, Knapp B, Peikert CD, Drepper F, van der Ven PFM, Radziwill G, Fürst DO, Warscheid B. Myofibrillar Z-discs Are a Protein Phosphorylation Hot Spot with Protein Kinase C (PKCα) Modulating Protein Dynamics. Mol Cell Proteomics 2016; 16:346-367. [PMID: 28028127 DOI: 10.1074/mcp.m116.065425] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2016] [Indexed: 11/06/2022] Open
Abstract
The Z-disc is a protein-rich structure critically important for the development and integrity of myofibrils, which are the contractile organelles of cross-striated muscle cells. We here used mouse C2C12 myoblast, which were differentiated into myotubes, followed by electrical pulse stimulation (EPS) to generate contracting myotubes comprising mature Z-discs. Using a quantitative proteomics approach, we found significant changes in the relative abundance of 387 proteins in myoblasts versus differentiated myotubes, reflecting the drastic phenotypic conversion of these cells during myogenesis. Interestingly, EPS of differentiated myotubes to induce Z-disc assembly and maturation resulted in increased levels of proteins involved in ATP synthesis, presumably to fulfill the higher energy demand of contracting myotubes. Because an important role of the Z-disc for signal integration and transduction was recently suggested, its precise phosphorylation landscape further warranted in-depth analysis. We therefore established, by global phosphoproteomics of EPS-treated contracting myotubes, a comprehensive site-resolved protein phosphorylation map of the Z-disc and found that it is a phosphorylation hotspot in skeletal myocytes, underscoring its functions in signaling and disease-related processes. In an illustrative fashion, we analyzed the actin-binding multiadaptor protein filamin C (FLNc), which is essential for Z-disc assembly and maintenance, and found that PKCα phosphorylation at distinct serine residues in its hinge 2 region prevents its cleavage at an adjacent tyrosine residue by calpain 1. Fluorescence recovery after photobleaching experiments indicated that this phosphorylation modulates FLNc dynamics. Moreover, FLNc lacking the cleaved Ig-like domain 24 exhibited remarkably fast kinetics and exceedingly high mobility. Our data set provides research community resource for further identification of kinase-mediated changes in myofibrillar protein interactions, kinetics, and mobility that will greatly advance our understanding of Z-disc dynamics and signaling.
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Affiliation(s)
- Lena Reimann
- From the ‡Department of Biochemistry and Functional Proteomics, Institute of Biology II, Faculty of Biology, University of Freiburg, 79104 Freiburg, Germany
| | - Heike Wiese
- From the ‡Department of Biochemistry and Functional Proteomics, Institute of Biology II, Faculty of Biology, University of Freiburg, 79104 Freiburg, Germany
| | - Yvonne Leber
- ¶Department of Molecular Cell Biology, Institute for Cell Biology, University of Bonn, 53121 Bonn, Germany
| | - Anja N Schwäble
- From the ‡Department of Biochemistry and Functional Proteomics, Institute of Biology II, Faculty of Biology, University of Freiburg, 79104 Freiburg, Germany
| | - Anna L Fricke
- From the ‡Department of Biochemistry and Functional Proteomics, Institute of Biology II, Faculty of Biology, University of Freiburg, 79104 Freiburg, Germany
| | - Anne Rohland
- ¶Department of Molecular Cell Biology, Institute for Cell Biology, University of Bonn, 53121 Bonn, Germany
| | - Bettina Knapp
- From the ‡Department of Biochemistry and Functional Proteomics, Institute of Biology II, Faculty of Biology, University of Freiburg, 79104 Freiburg, Germany
| | - Christian D Peikert
- From the ‡Department of Biochemistry and Functional Proteomics, Institute of Biology II, Faculty of Biology, University of Freiburg, 79104 Freiburg, Germany
| | - Friedel Drepper
- From the ‡Department of Biochemistry and Functional Proteomics, Institute of Biology II, Faculty of Biology, University of Freiburg, 79104 Freiburg, Germany
| | - Peter F M van der Ven
- ¶Department of Molecular Cell Biology, Institute for Cell Biology, University of Bonn, 53121 Bonn, Germany
| | - Gerald Radziwill
- From the ‡Department of Biochemistry and Functional Proteomics, Institute of Biology II, Faculty of Biology, University of Freiburg, 79104 Freiburg, Germany.,§BIOSS Centre for Biological Signalling Studies, University of Freiburg
| | - Dieter O Fürst
- ¶Department of Molecular Cell Biology, Institute for Cell Biology, University of Bonn, 53121 Bonn, Germany
| | - Bettina Warscheid
- From the ‡Department of Biochemistry and Functional Proteomics, Institute of Biology II, Faculty of Biology, University of Freiburg, 79104 Freiburg, Germany; .,§BIOSS Centre for Biological Signalling Studies, University of Freiburg
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33
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Roberts JD, Hu D, Heckbert SR, Alonso A, Dewland TA, Vittinghoff E, Liu Y, Psaty BM, Olgin JE, Magnani JW, Huntsman S, Burchard EG, Arking DE, Bibbins-Domingo K, Harris TB, Perez MV, Ziv E, Marcus GM. Genetic Investigation Into the Differential Risk of Atrial Fibrillation Among Black and White Individuals. JAMA Cardiol 2016; 1:442-50. [PMID: 27438321 PMCID: PMC5395094 DOI: 10.1001/jamacardio.2016.1185] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
IMPORTANCE White persons have a higher risk of atrial fibrillation (AF) compared with black individuals despite a lower prevalence of risk factors. This difference may be due, at least in part, to genetic factors. OBJECTIVES To determine whether 9 single-nucleotide polymorphisms (SNPs) associated with AF account for this paradoxical differential racial risk for AF and to use admixture mapping to search genome-wide for loci that may account for this phenomenon. DESIGN, SETTING, AND PARTICIPANTS Genome-wide admixture analysis and candidate SNP study involving 3 population-based cohort studies that were initiated between 1987 and 1997, including the Cardiovascular Health Study (CHS) (n = 4173), the Atherosclerosis Risk in Communities (ARIC) (n = 12 341) study, and the Health, Aging, and Body Composition (Health ABC) (n = 1015) study. In all 3 studies, race was self-identified. Cox proportional hazards regression models and the proportion of treatment effect method were used to determine the impact of 9 AF-risk SNPs among participants from CHS and the ARIC study. The present study began July 1, 2012, and was completed in 2015. MAIN OUTCOMES AND MEASURES Incident AF systematically ascertained using clinic visit electrocardiograms, hospital discharge diagnosis codes, death certificates, and Medicare claims data. RESULTS A single SNP, rs10824026 (chromosome 10: position 73661450), was found to significantly mediate the higher risk for AF in white participants compared with black participants in CHS (11.4%; 95% CI, 2.9%-29.9%) and ARIC (31.7%; 95% CI, 16.0%-53.0%). Admixture mapping was performed in a meta-analysis of black participants within CHS (n = 811), ARIC (n = 3112), and Health ABC (n = 1015). No loci that reached the prespecified statistical threshold for genome-wide significance were identified. CONCLUSIONS AND RELEVANCE The rs10824026 SNP on chromosome 10q22 mediates a modest proportion of the increased risk of AF among white individuals compared with black individuals, potentially through an effect on gene expression levels of MYOZ1. No additional genetic variants accounting for a significant portion of the differential racial risk of AF were identified with genome-wide admixture mapping, suggesting that additional genetic or environmental influences beyond single SNPs in isolation may account for the paradoxical racial risk of AF among white individuals and black individuals.
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Affiliation(s)
- Jason D Roberts
- Section of Cardiac Electrophysiology, Division of Cardiology, Department of Medicine, University of California, San Francisco
| | - Donglei Hu
- Institute of Human Genetics and Department of Medicine, University of California, San Francisco
| | | | - Alvaro Alonso
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis
| | - Thomas A Dewland
- Section of Cardiac Electrophysiology, Division of Cardiology, Department of Medicine, University of California, San Francisco
| | - Eric Vittinghoff
- Department of Epidemiology and Biostatistics, University of California, San Francisco
| | - Yongmei Liu
- Department of Epidemiology and Prevention, Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Bruce M Psaty
- Department of Epidemiology, University of Washington, Seattle7Cardiovascular Health Research Unit, University of Washington, Seattle8Departments of Medicine and Health Services, University of Washington, Seattle9Group Health Research Institute, Group Heal
| | - Jeffrey E Olgin
- Section of Cardiac Electrophysiology, Division of Cardiology, Department of Medicine, University of California, San Francisco
| | - Jared W Magnani
- Section of Cardiovascular Medicine, Department of Medicine, Boston University School of Medicine, Boston, Massachusetts
| | - Scott Huntsman
- Institute of Human Genetics and Department of Medicine, University of California, San Francisco
| | - Esteban G Burchard
- Department of Medicine, University of California, San Francisco 12Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco
| | - Dan E Arking
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | | | - Tamara B Harris
- Laboratory of Epidemiology, Demography, and Biometry, Intramural Research Program, National Institute on Aging, US National Institutes of Health, Bethesda, Maryland
| | - Marco V Perez
- Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, California
| | - Elad Ziv
- Institute of Human Genetics and Department of Medicine, University of California, San Francisco
| | - Gregory M Marcus
- Section of Cardiac Electrophysiology, Division of Cardiology, Department of Medicine, University of California, San Francisco
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34
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Olausson P, Ghafouri B, Ghafouri N, Gerdle B. Specific proteins of the trapezius muscle correlate with pain intensity and sensitivity - an explorative multivariate proteomic study of the trapezius muscle in women with chronic widespread pain. J Pain Res 2016; 9:345-56. [PMID: 27330327 PMCID: PMC4898258 DOI: 10.2147/jpr.s102275] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023] Open
Abstract
Chronic widespread pain (CWP) including fibromyalgia syndrome (FMS) has a high prevalence and is associated with prominent negative consequences. CWP/FMS exhibits morphological and functional alterations in the central nervous system. The importance of peripheral factors for maintaining the central alterations are under debate. In this study, the proteins from biopsies of the trapezius muscle from 18 female CWP/FMS patients and 19 healthy female controls were analyzed. Pain intensity and pressure pain thresholds (PPT) over the trapezius muscles were registered. Twelve proteins representing five different groups of proteins were important regressors of pain intensity in CWP/FMS (R2=0.99; P<0.001). In the regression of PPT in CWP/FMS, it was found that 16 proteins representing six groups of proteins were significant regressors (R2=0.95, P<0.05). Many of the important proteins were stress and inflammation proteins, enzymes involved in metabolic pathways, and proteins associated with muscle damage, myopathies, and muscle recovery. The altered expression of these proteins may reflect both direct and indirect nociceptive/inflammatory processes as well as secondary changes. The relative importance of the identified proteins and central alterations in CWP need to be investigated in future research. Data from this and the previous study concerning the same cohorts give support to the suggestion that peripheral factors are of importance for maintaining pain aspects in CWP/FMS.
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Affiliation(s)
- Patrik Olausson
- Pain and Rehabilitation Centre, Department of Medical and Health Sciences, Linköping University, Linköping, Sweden
| | - Bijar Ghafouri
- Pain and Rehabilitation Centre, Department of Medical and Health Sciences, Linköping University, Linköping, Sweden
| | - Nazdar Ghafouri
- Pain and Rehabilitation Centre, Department of Medical and Health Sciences, Linköping University, Linköping, Sweden
| | - Björn Gerdle
- Pain and Rehabilitation Centre, Department of Medical and Health Sciences, Linköping University, Linköping, Sweden
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35
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Wei ZJ, Zhou XH, Fan BY, Lin W, Ren YM, Feng SQ. Proteomic and bioinformatic analyses of spinal cord injury‑induced skeletal muscle atrophy in rats. Mol Med Rep 2016; 14:165-74. [PMID: 27177391 PMCID: PMC4918545 DOI: 10.3892/mmr.2016.5272] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2015] [Accepted: 05/03/2016] [Indexed: 11/06/2022] Open
Abstract
Spinal cord injury (SCI) may result in skeletal muscle atrophy. Identifying diagnostic biomarkers and effective targets for treatment is an important challenge in clinical work. The aim of the present study is to elucidate potential biomarkers and therapeutic targets for SCI‑induced muscle atrophy (SIMA) using proteomic and bioinformatic analyses. The protein samples from rat soleus muscle were collected at different time points following SCI injury and separated by two‑dimensional gel electrophoresis and compared with the sham group. The identities of these protein spots were analyzed by mass spectrometry (MS). MS demonstrated that 20 proteins associated with muscle atrophy were differentially expressed. Bioinformatic analyses indicated that SIMA changed the expression of proteins associated with cellular, developmental, immune system and metabolic processes, biological adhesion and localization. The results of the present study may be beneficial in understanding the molecular mechanisms of SIMA and elucidating potential biomarkers and targets for the treatment of muscle atrophy.
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Affiliation(s)
- Zhi-Jian Wei
- Department of Orthopaedics, Tianjin Medical University General Hospital, Tianjin 300052, P.R. China
| | - Xian-Hu Zhou
- Department of Orthopaedics, Tianjin Medical University General Hospital, Tianjin 300052, P.R. China
| | - Bao-You Fan
- Department of Orthopaedics, Tianjin Medical University General Hospital, Tianjin 300052, P.R. China
| | - Wei Lin
- Department of Orthopaedics, Tianjin Medical University General Hospital, Tianjin 300052, P.R. China
| | - Yi-Ming Ren
- Department of Orthopaedics, Tianjin Medical University General Hospital, Tianjin 300052, P.R. China
| | - Shi-Qing Feng
- Department of Orthopaedics, Tianjin Medical University General Hospital, Tianjin 300052, P.R. China
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36
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Gomes RSM, Skroblin P, Munster AB, Tomlins H, Langley SR, Zampetaki A, Yin X, Wardle FC, Mayr M. "Young at heart": Regenerative potential linked to immature cardiac phenotypes. J Mol Cell Cardiol 2016; 92:105-8. [PMID: 26827899 PMCID: PMC4796039 DOI: 10.1016/j.yjmcc.2016.01.026] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/18/2015] [Revised: 01/26/2016] [Accepted: 01/27/2016] [Indexed: 01/15/2023]
Abstract
The adult human myocardium is incapable of regeneration; yet, the zebrafish (Danio rerio) can regenerate damaged myocardium. Similar to the zebrafish heart, hearts of neonatal, but not adult mice are capable of myocardial regeneration. We performed a proteomics analysis of adult zebrafish hearts and compared their protein expression profile to hearts from neonatal and adult mice. Using difference in-gel electrophoresis (DIGE), there was little overlap between the proteome from adult mouse (> 8 weeks old) and adult zebrafish (18 months old) hearts. Similarly, there was a significant degree of mismatch between the protein expression in neonatal and adult mouse hearts. Enrichment analysis of the selected proteins revealed over-expression of DNA synthesis-related proteins in the cardiac proteome of the adult zebrafish heart similar to neonatal and 4 days old mice, whereas in hearts of adult mice there was a mitochondria-related predominance in protein expression. Importantly, we noted pronounced differences in the myofilament composition: the adult zebrafish heart lacks many of the myofilament proteins of differentiated adult cardiomyocytes such as the ventricular isoforms of myosin light chains and nebulette. Instead, troponin I and myozenin 1 were expressed as skeletal isoforms rather than cardiac isoforms. The relative immaturity of the adult zebrafish heart was further supported by cardiac microRNA data. Our assessment of zebrafish and mammalian hearts challenges the assertions on the translational potential of cardiac regeneration in the zebrafish model. The immature myofilament composition of the fish heart may explain why adult mouse and human cardiomyocytes lack this endogenous repair mechanism. Proteomics reveals minimal overlap between adult mouse and adult zebrafish hearts. Gene expression analysis confirms profound differences in myofilament composition. The adult zebrafish heart is more similar to a newborn mouse heart. The relative immaturity is further supported by cardiac microRNA data.
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Affiliation(s)
- Renata S M Gomes
- King's British Heart Foundation Centre, King's College London, London, UK
| | - Philipp Skroblin
- King's British Heart Foundation Centre, King's College London, London, UK
| | - Alex B Munster
- King's British Heart Foundation Centre, King's College London, London, UK
| | - Hannah Tomlins
- King's British Heart Foundation Centre, King's College London, London, UK
| | - Sarah R Langley
- King's British Heart Foundation Centre, King's College London, London, UK
| | - Anna Zampetaki
- King's British Heart Foundation Centre, King's College London, London, UK
| | - Xiaoke Yin
- King's British Heart Foundation Centre, King's College London, London, UK
| | - Fiona C Wardle
- Cardiovascular Development, Randall Division, King's College London, UK
| | - Manuel Mayr
- King's British Heart Foundation Centre, King's College London, London, UK.
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Time-Course Analysis of Brain Regional Expression Network Responses to Chronic Intermittent Ethanol and Withdrawal: Implications for Mechanisms Underlying Excessive Ethanol Consumption. PLoS One 2016; 11:e0146257. [PMID: 26730594 PMCID: PMC4701666 DOI: 10.1371/journal.pone.0146257] [Citation(s) in RCA: 42] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2015] [Accepted: 12/15/2015] [Indexed: 01/17/2023] Open
Abstract
Long lasting abusive consumption, dependence, and withdrawal are characteristic features of alcohol use disorders (AUD). Mechanistically, persistent changes in gene expression are hypothesized to contribute to brain adaptations leading to ethanol toxicity and AUD. We employed repeated chronic intermittent ethanol (CIE) exposure by vapor chamber as a mouse model to simulate the cycles of ethanol exposure and withdrawal commonly seen with AUD. This model has been shown to induce progressive ethanol consumption in rodents. Brain CIE-responsive expression networks were identified by microarray analysis across five regions of the mesolimbic dopamine system and extended amygdala with tissue harvested from 0-hours to 7-days following CIE. Weighted Gene Correlated Network Analysis (WGCNA) was used to identify gene networks over-represented for CIE-induced temporal expression changes across brain regions. Differential gene expression analysis showed that long-lasting gene regulation occurred 7-days after the final cycle of ethanol exposure only in prefrontal cortex (PFC) and hippocampus. Across all brain regions, however, ethanol-responsive expression changes occurred mainly within the first 8-hours after removal from ethanol. Bioinformatics analysis showed that neuroinflammatory responses were seen across multiple brain regions at early time-points, whereas co-expression modules related to neuroplasticity, chromatin remodeling, and neurodevelopment were seen at later time-points and in specific brain regions (PFC or HPC). In PFC a module containing Bdnf was identified as highly CIE responsive in a biphasic manner, with peak changes at 0 hours and 5 days following CIE, suggesting a possible role in mechanisms underlying long-term molecular and behavioral response to CIE. Bioinformatics analysis of this network and several other modules identified Let-7 family microRNAs as potential regulators of gene expression changes induced by CIE. Our results suggest a complex temporal and regional pattern of widespread gene network responses involving neuroinflammatory and neuroplasticity related genes as contributing to physiological and behavioral responses to chronic ethanol.
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38
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Holland A, Henry M, Meleady P, Winkler CK, Krautwald M, Brinkmeier H, Ohlendieck K. Comparative Label-Free Mass Spectrometric Analysis of Mildly versus Severely Affected mdx Mouse Skeletal Muscles Identifies Annexin, Lamin, and Vimentin as Universal Dystrophic Markers. Molecules 2015; 20:11317-44. [PMID: 26102067 PMCID: PMC6272583 DOI: 10.3390/molecules200611317] [Citation(s) in RCA: 40] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2015] [Revised: 06/10/2015] [Accepted: 06/12/2015] [Indexed: 11/16/2022] Open
Abstract
The primary deficiency in the membrane cytoskeletal protein dystrophin results in complex changes in dystrophic muscles. In order to compare the degree of secondary alterations in differently affected subtypes of skeletal muscles, we have conducted a global analysis of proteome-wide changes in various dystrophin-deficient muscles. In contrast to the highly degenerative mdx diaphragm muscle, which showed considerable alterations in 35 distinct proteins, the spectrum of mildly to moderately dystrophic skeletal muscles, including interosseus, flexor digitorum brevis, soleus, and extensor digitorum longus muscle, exhibited a smaller number of changed proteins. Compensatory mechanisms and/or cellular variances may be responsible for differing secondary changes in individual mdx muscles. Label-free mass spectrometry established altered expression levels for diaphragm proteins associated with contraction, energy metabolism, the cytoskeleton, the extracellular matrix and the cellular stress response. Comparative immunoblotting verified the differences in the degree of secondary changes in dystrophin-deficient muscles and showed that the up-regulation of molecular chaperones, the compensatory increase in proteins of the intermediate filaments, the fibrosis-related increase in collagen levels and the pathophysiological decrease in calcium binding proteins is more pronounced in mdx diaphragm as compared to the less severely affected mdx leg muscles. Annexin, lamin, and vimentin were identified as universal dystrophic markers.
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Affiliation(s)
- Ashling Holland
- Department of Biology, Maynooth University, Maynooth, Co. Kildare, Ireland.
| | - Michael Henry
- National Institute for Cellular Biotechnology, Dublin City University, Dublin 9, Ireland.
| | - Paula Meleady
- National Institute for Cellular Biotechnology, Dublin City University, Dublin 9, Ireland.
| | - Claudia K Winkler
- Institute of Pathophysiology, University Medicine Greifswald, D-17495 Karlsburg, Germany.
| | - Mirjam Krautwald
- Institute of Pathophysiology, University Medicine Greifswald, D-17495 Karlsburg, Germany.
| | - Heinrich Brinkmeier
- Institute of Pathophysiology, University Medicine Greifswald, D-17495 Karlsburg, Germany.
| | - Kay Ohlendieck
- Department of Biology, Maynooth University, Maynooth, Co. Kildare, Ireland.
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Kooij V, Venkatraman V, Kirk JA, Ubaida-Mohien C, Graham DR, Faber MJ, Van Eyk JE. Identification of cardiac myofilament protein isoforms using multiple mass spectrometry based approaches. Proteomics Clin Appl 2015; 8:578-589. [PMID: 24974818 DOI: 10.1002/prca.201400039] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2014] [Revised: 05/30/2014] [Accepted: 06/24/2014] [Indexed: 02/01/2023]
Abstract
PURPOSE The identification of protein isoforms in complex biological samples is challenging. We, therefore, used an MS approach to unambiguously identify cardiac myofilament protein isoforms based on the observation of a tryptic peptide consisting of a sequence unique to a particular isoform. EXPERIMENTAL DESIGN Three different workflows were used to isolate and fractionate rat cardiac myofilament subproteomes. All fractions were analyzed on an LTQ-Orbitrap MS, proteins were identified using various search engines (MASCOT, X!Tandem, X!Tandem Kscore, and OMSSA) with results combined via PepArML Meta-Search engine, and a postsearch analysis was performed by MASPECTRAS. All MS data have been deposited in the ProteomeXchange with identifier PXD000874 (http://proteomecentral.proteomexchange.org/dataset/PXD000874). RESULTS The combination of multiple workflows and search engines resulted in a larger number of nonredundant proteins identified than with individual methods. A total of 102 myofilament annotated proteins were observed overlapping in two or three of the workflows. Literature search for myofilament presence with manual validation of the MS spectra was carried out for unambiguous identification: ten cardiac myofilament and 17 cardiac myofilament-associated proteins were identified with 39 isoforms and subisoforms. CONCLUSION AND CLINICAL RELEVANCE We have identified multiple isoforms of myofilament proteins that are present in cardiac tissue using unique tryptic peptides. Changes in distribution of these protein isoforms under pathological conditions could ultimately allow for clinical diagnostics or as therapeutic targets.
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Affiliation(s)
- Viola Kooij
- Department of medicine, Division of Cardiology, The Johns Hopkins University, Baltimore, USA
| | - Vidya Venkatraman
- Department of medicine, Division of Cardiology, The Johns Hopkins University, Baltimore, USA.,Advanced Clinical Biosystems Research Institute, Heart Institute and Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, USA
| | - Jonathan A Kirk
- Department of medicine, Division of Cardiology, The Johns Hopkins University, Baltimore, USA
| | - Ceereena Ubaida-Mohien
- Department of Molecular and Comparative Pathobiology, The Johns Hopkins University, Baltimore, MD, USA
| | - David R Graham
- Department of medicine, Division of Cardiology, The Johns Hopkins University, Baltimore, USA.,Department of Molecular and Comparative Pathobiology, The Johns Hopkins University, Baltimore, MD, USA
| | - Matthijs J Faber
- Erasmus MC-Sophia, Department of Pediatrics, Division of Pediatric Cardiology, Rotterdam, The Netherlands
| | - Jennifer E Van Eyk
- Department of medicine, Division of Cardiology, The Johns Hopkins University, Baltimore, USA.,Advanced Clinical Biosystems Research Institute, Heart Institute and Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, USA
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40
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Caetano-Anollés K, Mishra S, Rodriguez-Zas SL. Synergistic and antagonistic interplay between myostatin gene expression and physical activity levels on gene expression patterns in triceps Brachii muscles of C57/BL6 mice. PLoS One 2015; 10:e0116828. [PMID: 25710176 PMCID: PMC4339580 DOI: 10.1371/journal.pone.0116828] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2014] [Accepted: 12/15/2014] [Indexed: 12/28/2022] Open
Abstract
Levels of myostatin expression and physical activity have both been associated with transcriptome dysregulation and skeletal muscle hypertrophy. The transcriptome of triceps brachii muscles from male C57/BL6 mice corresponding to two genotypes (wild-type and myostatin-reduced) under two conditions (high and low physical activity) was characterized using RNA-Seq. Synergistic and antagonistic interaction and ortholog modes of action of myostatin genotype and activity level on genes and gene pathways in this skeletal muscle were uncovered; 1,836, 238, and 399 genes exhibited significant (FDR-adjusted P-value < 0.005) activity-by-genotype interaction, genotype and activity effects, respectively. The most common differentially expressed profiles were (i) inactive myostatin-reduced relative to active and inactive wild-type, (ii) inactive myostatin-reduced and active wild-type, and (iii) inactive myostatin-reduced and inactive wild-type. Several remarkable genes and gene pathways were identified. The expression profile of nascent polypeptide-associated complex alpha subunit (Naca) supports a synergistic interaction between activity level and myostatin genotype, while Gremlin 2 (Grem2) displayed an antagonistic interaction. Comparison between activity levels revealed expression changes in genes encoding for structural proteins important for muscle function (including troponin, tropomyosin and myoglobin) and for fatty acid metabolism (some linked to diabetes and obesity, DNA-repair, stem cell renewal, and various forms of cancer). Conversely, comparison between genotype groups revealed changes in genes associated with G1-to-S-phase transition of the cell cycle of myoblasts and the expression of Grem2 proteins that modulate the cleavage of the myostatin propeptide. A number of myostatin-feedback regulated gene products that are primarily regulatory were uncovered, including microRNA impacting central functions and Piezo proteins that make cationic current-controlling mechanosensitive ion channels. These important findings extend hypotheses of myostatin and physical activity master regulation of genes and gene pathways, impacting medical practices and therapies associated with muscle atrophy in humans and companion animal species and genome-enabled selection practices applied to food-production animal species.
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Affiliation(s)
- Kelsey Caetano-Anollés
- Department of Animal Sciences, University of Illinois at Urbana-Champaign, Urbana, Illinois, United States of America
| | - Sanjibita Mishra
- Department of Animal Sciences, University of Illinois at Urbana-Champaign, Urbana, Illinois, United States of America
- Khorana Scholars Program, Indo-US Science and Technology Forum, New Delhi, India
- National Institute of Technology, Rourkel, India
| | - Sandra L. Rodriguez-Zas
- Department of Animal Sciences, University of Illinois at Urbana-Champaign, Urbana, Illinois, United States of America
- Department of Statistics, University of Illinois at Urbana-Champaign, Urbana, Illinois, United States of America
- Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, Illinois, United States of America
- * E-mail:
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Gene coexpression networks reveal key drivers of phenotypic divergence in porcine muscle. BMC Genomics 2015; 16:50. [PMID: 25651817 PMCID: PMC4328970 DOI: 10.1186/s12864-015-1238-5] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2014] [Accepted: 01/12/2015] [Indexed: 01/12/2023] Open
Abstract
Background Domestication of the wild pig has led to obese and lean phenotype breeds, and evolutionary genome research has sought to identify the regulatory mechanisms underlying this phenotypic diversity. However, revealing the molecular mechanisms underlying muscle phenotype variation based on differentially expressed genes has proved to be difficult. To characterize the mechanisms regulating muscle phenotype variation under artificial selection, we aimed to provide an integrated view of genome organization by weighted gene coexpression network analysis. Results Our analysis was based on 20 publicly available next-generation sequencing datasets of lean and obese pig muscle generated from 10 developmental stages. The evolution of the constructed coexpression modules was examined using the genome resequencing data of 37 domestic pigs and 11 wild boars. Our results showed the regulation of muscle development might be more complex than had been previously acknowledged, and is regulated by the coordinated action of muscle, nerve and immunity related genes. Breed-specific modules that regulated muscle phenotype divergence were identified, and hundreds of hub genes with major roles in muscle development were determined to be responsible for key functional distinctions between breeds. Our evolutionary analysis showed that the role of changes in the coding sequence under positive selection in muscle phenotype divergence was minor. Conclusions Muscle phenotype divergence was found to be regulated by the divergence of coexpression network modules under artificial selection, and not by changes in the coding sequence of genes. Our results present multiple lines of evidence suggesting links between modules and muscle phenotypes, and provide insights into the molecular bases of genome organization in muscle development and phenotype variation. Electronic supplementary material The online version of this article (doi:10.1186/s12864-015-1238-5) contains supplementary material, which is available to authorized users.
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42
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Ma J, Chai J, Shang Y, Li Y, Chen R, Jia J, Jiang S, Peng J. Swine PPAR-γ2 expression upregulated in skeletal muscle of transgenic mice via the swine Myozenin-1 gene promoter. Transgenic Res 2014; 24:409-20. [PMID: 25421932 DOI: 10.1007/s11248-014-9849-1] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2014] [Accepted: 11/05/2014] [Indexed: 10/24/2022]
Abstract
Myozenin-1 (Myoz1) gene-encoded calsarcin-2 protein was expressed exclusively in fast-twitch muscles. Peroxisome proliferator-activated receptor γ2 (PPAR-γ2) is a key regulator of adipocyte differentiation, fatty acid uptake and storage in mammals. In this study, transgenic (TG) mice were generated by injecting linearized DNA that contained mouse creatine kinase M-type enhancer, Myoz1 core promoter, swine PPAR-γ2 (sPPAR-γ2) and SV40 polyadenylation sequences into pronuclei of fertilized FVB/NJ mouse embryos using microinjection technology. Then, the TG mice were used to identify whether swine Myoz1 (sMyoz1) promoter could upregulate sPPAR-γ2 expression in skeletal muscle in a TG mouse model. The results showed that the sMyoz1 promoter indeed upregulated sPPAR-γ2 expression on both the RNA and protein levels. The target genes of PPAR-γ in fat formation pathways, such as fatty acid-binding protein 4 (FABP4) and lipoprotein lipase (LPL), were also overexpressed on the RNA level. Meanwhile, the level of skeletal muscle triacylglycerol in TG mice was increased (P < 0.05), and the result of Oil Red-O staining in the skeletal muscle sections also showed that the number of lipid droplets was significantly increased in TG mice compared to wild-type mice, which might improve the intramuscular fat (IMF) content. For pork, the quality was mostly influenced by the IMF; the identification of swine muscle-specific promoter, sMyoz1, could further serve to develop transgenic pigs with higher intramuscular fat contents and improve pork quality.
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Affiliation(s)
- Juanjuan Ma
- Agricultural Ministry Key Laboratory of Swine Breeding and Genetics and Key Laboratory of Agricultural Animal Genetics, Breeding, and Reproduction of the Ministry of Education, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, 430070, China
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43
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Abstract
Atrial fibrillation (AF) is the most common arrhythmia and is associated with increased morbidity. As the population ages and the prevalence of AF continues to rise, the socioeconomic consequences of AF will become increasingly burdensome. Although there are well-defined clinical risk factors for AF, a significant heritable component is also recognized. To identify the molecular basis for the heritability of AF, investigators have used a combination of classical Mendelian genetics, candidate gene screening, and genome-wide association studies. However, these avenues have, as yet, failed to define the majority of the heritability of AF. The goal of this review is to describe the results from both candidate gene and genome-wide studies, as well as to outline potential future avenues for creating a more complete understanding of AF genetics. Ultimately, a more comprehensive view of the genetic underpinnings for AF will lead to the identification of novel molecular pathways and improved risk prediction of this complex arrhythmia.
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Affiliation(s)
- Nathan R Tucker
- From the Cardiovascular Research Center, Massachusetts General Hospital, Boston
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44
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Kim JH, Jung ES, Kim CH, Youn H, Kim HR. Genetic associations of body composition, flexibility and injury risk with ACE, ACTN3 and COL5A1 polymorphisms in Korean ballerinas. J Exerc Nutrition Biochem 2014; 18:205-14. [PMID: 25566457 PMCID: PMC4241924 DOI: 10.5717/jenb.2014.18.2.205] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2014] [Revised: 05/24/2014] [Accepted: 05/30/2014] [Indexed: 11/04/2022] Open
Abstract
PURPOSE The purpose of this study was to exam the association of body composition, flexibility, and injury risk to genetic polymorphisms including ACE ID, ACTN3 RX, and COL5A1 polymorphisms in ballet dancers in Korea. METHODS For the purpose of this study, elite ballerinas (n = 97) and normal female adults (n = 203) aged 18 to 39 were recruited and these participants were tested for body weight, height, body fat, fat free mass, flexibility, injury risks on the joints and gene polymorphisms (ACE, ACTN3, COL5A1 polymorphism). RESULTS As results, the ACE DD genotype in ballerinas was associated with higher body fat and percentage of body fat than the ACE II and ID genotypes (p < 0.05). In the study on the ACTN3 polymorphism and ballerinas, the XX genotype in ballerinas had lower body weight and lower fat-free mass than the RR and RX genotype (p < 0.005). Also, the means of sit and reach test for flexibility was lower in the ACTN3 XX genotype of ballerinas than the RR and RX genotype of ballerinas (p < 0.05). Among the sports injuries, the ankle injury of the XX-genotyped ballerinas was in significantly more prevalence than the RR and XX-genotyped ballerinas (p < 0.05). According to the odd ratio analysis, XX-genotyped ballerinas have the injury risk on the ankle about 4.7 (95% CI: 1.6~13.4, p < 0.05) times more than the RR and RX-genotyped ballerinas. Meanwhile, the COL5A1 polymorphism in ballerinas has no association with any factors including flexibility and injury risks. CONCLUSION In conclusion, ACE polymorphism and ACTN3 polymorphism were associated with ballerinas' performance capacity; COL5A1 was not associated with any factors of performance of Ballerinas. The results suggested that the ACE DD genotype is associated with high body fat, the ACTN3 XX genotype is associated with low fat-free mass, low flexibility, and higher risk of ankle-joint injury.
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Affiliation(s)
- Jun Ho Kim
- School of Dance, Kyunghee University, Seoul, Korea
| | - Eun Sun Jung
- School of Dance, Kyunghee University, Seoul, Korea
| | - Chul-Hyun Kim
- Department of Sports Medicine, Soonchunhyang University, Asan, Korea
| | - Hyeon Youn
- Department of Judo, Yong In University, Yong In, Korea
| | - Hwa Rye Kim
- School of Dance, Kyunghee University, Seoul, Korea
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45
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Lin H, Dolmatova EV, Morley MP, Lunetta KL, McManus DD, Magnani JW, Margulies KB, Hakonarson H, del Monte F, Benjamin EJ, Cappola TP, Ellinor PT. Gene expression and genetic variation in human atria. Heart Rhythm 2014; 11:266-71. [PMID: 24177373 PMCID: PMC3946863 DOI: 10.1016/j.hrthm.2013.10.051] [Citation(s) in RCA: 45] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/14/2013] [Indexed: 11/23/2022]
Abstract
BACKGROUND The human left and right atria have different susceptibilities to develop atrial fibrillation (AF). However, the molecular events related to structural and functional changes that enhance AF susceptibility are still poorly understood. OBJECTIVE The purpose of this study was to characterize gene expression and genetic variation in human atria. METHODS We studied the gene expression profiles and genetic variations in 53 left atrial and 52 right atrial tissue samples collected from the Myocardial Applied Genomics Network (MAGNet) repository. The tissues were collected from heart failure patients undergoing transplantation and from unused organ donor hearts with normal ventricular function. Gene expression was profiled using the Affymetrix GeneChip Human Genome U133A Array. Genetic variation was profiled using the Affymetrix Genome-Wide Human SNP Array 6.0. RESULTS We found that 109 genes were differentially expressed between left and right atrial tissues. A total of 187 and 259 significant cis-associations between transcript levels and genetic variants were identified in left and right atrial tissues, respectively. We also found that a single nucleotide polymorphism at a known AF locus, rs3740293, was associated with the expression of MYOZ1 in both left and right atrial tissues. CONCLUSION We found a distinct transcriptional profile between the right and left atrium and extensive cis-associations between atrial transcripts and common genetic variants. Our results implicate MYOZ1 as the causative gene at the chromosome 10q22 locus for AF.
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Affiliation(s)
- Honghuang Lin
- National Heart Lung and Blood Institute's and Boston University's Framingham Heart Study, Framingham, Massachusetts; Section of Computational Biomedicine, Department of Medicine, Boston University School of Medicine, Boston, Massachusetts.
| | - Elena V Dolmatova
- Cardiovascular Research Center, Massachusetts General Hospital, Charlestown, Massachusetts
| | - Michael P Morley
- Penn Cardiovascular Institute, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania
| | - Kathryn L Lunetta
- National Heart Lung and Blood Institute's and Boston University's Framingham Heart Study, Framingham, Massachusetts; Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts
| | - David D McManus
- National Heart Lung and Blood Institute's and Boston University's Framingham Heart Study, Framingham, Massachusetts; Cardiology Division, Department of Medicine, and Epidemiology Division, Department of Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, Massachusetts
| | - Jared W Magnani
- National Heart Lung and Blood Institute's and Boston University's Framingham Heart Study, Framingham, Massachusetts; Section of Cardiovascular Medicine, Department of Medicine, Boston University School of Medicine, Boston, Massachusetts
| | - Kenneth B Margulies
- Penn Cardiovascular Institute, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania
| | - Hakon Hakonarson
- Penn Cardiovascular Institute, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania
| | - Federica del Monte
- Cardiovascular Institute, Beth Israel Deaconess Medical Center, Boston, Massachusetts
| | - Emelia J Benjamin
- National Heart Lung and Blood Institute's and Boston University's Framingham Heart Study, Framingham, Massachusetts; Section of Cardiovascular Medicine, Department of Medicine, Boston University School of Medicine, Boston, Massachusetts; Section of Preventive Medicine, Department of Medicine, Boston University School of Medicine, Boston, Massachusetts; Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts
| | - Thomas P Cappola
- Penn Cardiovascular Institute, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania
| | - Patrick T Ellinor
- Cardiovascular Research Center, Massachusetts General Hospital, Charlestown, Massachusetts; Center for Human Genetic Research, Massachusetts General Hospital, Boston, Massachusetts; Cardiac Arrhythmia Service, Massachusetts General Hospital, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts
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46
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An HT, Kim J, Yoo S, Ko J. Small leucine zipper protein (sLZIP) negatively regulates skeletal muscle differentiation via interaction with α-actinin-4. J Biol Chem 2013; 289:4969-79. [PMID: 24375477 DOI: 10.1074/jbc.m113.515395] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023] Open
Abstract
The small leucine zipper protein (sLZIP) plays a role in transcriptional regulation in various types of cells. However, the role of sLZIP in myogenesis is unknown. We identified α-actinin-4 (ACTN4) as a sLZIP-binding protein. ACTN4 functions as a transcriptional regulator of myocyte enhancer factor (MEF)2, which plays a critical role in expression of muscle-specific genes during skeletal muscle differentiation. We found that ACTN4 translocates to the nucleus, induces myogenic gene expression, and promotes myotube formation during myogenesis. The myogenic process is controlled by an association between myogenic factors and MEF2 transcription factors. ACTN4 increased expression of muscle-specific proteins via interaction with MEF2. However, sLZIP decreased myogenic gene expression and myotube formation during myogenesis via disruption of the association between ACTN4 and MEF2. ACTN4 increased the promoter activities of myogenic genes, whereas sLZIP abrogated the effect of ACTN4 on transcriptional activation of myogenic genes in myoblasts. The C terminus of sLZIP is required for interaction with the C terminus of ACTN4, based on deletion mutant analysis, and sLZIP plays a role in regulation of MEF2 transactivation via interaction with ACTN4. Our results indicate that sLZIP negatively regulates skeletal muscle differentiation via interaction with ACTN4 and that sLZIP can be used as a therapeutic target molecule for treatment of muscle hypertrophy and associated diseases.
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Affiliation(s)
- Hyoung-Tae An
- From the Division of Life Sciences, Korea University, Seoul 136-701, South Korea
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47
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Wan L, Ma J, Wang N, Wang D, Xu G. Molecular cloning and characterization of different expression of MYOZ2 and MYOZ3 in Tianfu goat. PLoS One 2013; 8:e82550. [PMID: 24367523 PMCID: PMC3867352 DOI: 10.1371/journal.pone.0082550] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2013] [Accepted: 10/28/2013] [Indexed: 01/19/2023] Open
Abstract
The myozenin family of proteins binds calcineurin, which is involved in myocyte differentiation of skeletal muscle. Moreover, gene expression of myozenin is closely related to meat quality. To further understand the functions and effects of myozenin2 (MYOZ2) and myozenin3 (MYOZ3) genes in goat, we cloned them from Tianfu goat longissimus dorsi muscle. Sequence analyses revealed that full-length coding sequence of MYOZ2 consisted of 795 bp and encoded 264 amino acids, and full-length coding sequence of MYOZ3 consisted of 735 bp and encoded 244 amino acids. RT-qPCR analyses revealed that mRNA expressions of MYOZ2 and MYOZ3 were detected in heart, liver, spleen, lung, kidney, leg muscle, abdominal muscle, and longissimus dorsi muscle. Particularly high expression levels of MYOZ2 were seen in abdominal muscle and heart (P<0.01), low expression levels were seen in leg muscle (P<0.01), longissimus dorsi muscle (P>0.05) and very little expression were detected in liver, spleen, lung and kidney (P>0.05). In addition, high expression levels of MYOZ3 were seen in abdominal muscle, leg muscle, lungs and kidney (P<0.01), low expression levels were found in longissimus dorsi muscle and spleen (P<0.01) and very little expression were detected in heart and liver (P>0.05). Temporal mRNA expression results showed that MYOZ2 and MYOZ3 gene expression varied across four muscle tissues with different ages of the goats. Western blotting further revealed that MYOZ2 and MYOZ3 proteins were only expressed in goat muscle, with notable temporal expression differences in specialized muscle tissues from five development age stages. This work provides the first evidence that MYOZ2 and MYOZ3 genes are expressed abundantly in Tianfu goat muscle tissues from different development age stages, and lay a foundation for understanding the functions of MYOZ2 and MYOZ3 genes in muscle fiber differentiation.
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Affiliation(s)
- Lu Wan
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Ya’an, Sichuan, China
| | - Jisi Ma
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Ya’an, Sichuan, China
| | - Nianlu Wang
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Ya’an, Sichuan, China
| | - Daihua Wang
- Mianyang Agriculture Bureau, Mianyang, Sichuan, China
| | - Gangyi Xu
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Ya’an, Sichuan, China
- * E-mail:
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48
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Abstract
Striated respiratory muscles are necessary for lung ventilation and to maintain the patency of the upper airway. The basic structural and functional properties of respiratory muscles are similar to those of other striated muscles (both skeletal and cardiac). The sarcomere is the fundamental organizational unit of striated muscles and sarcomeric proteins underlie the passive and active mechanical properties of muscle fibers. In this respect, the functional categorization of different fiber types provides a conceptual framework to understand the physiological properties of respiratory muscles. Within the sarcomere, the interaction between the thick and thin filaments at the level of cross-bridges provides the elementary unit of force generation and contraction. Key to an understanding of the unique functional differences across muscle fiber types are differences in cross-bridge recruitment and cycling that relate to the expression of different myosin heavy chain isoforms in the thick filament. The active mechanical properties of muscle fibers are characterized by the relationship between myoplasmic Ca2+ and cross-bridge recruitment, force generation and sarcomere length (also cross-bridge recruitment), external load and shortening velocity (cross-bridge cycling rate), and cross-bridge cycling rate and ATP consumption. Passive mechanical properties are also important reflecting viscoelastic elements within sarcomeres as well as the extracellular matrix. Conditions that affect respiratory muscle performance may have a range of underlying pathophysiological causes, but their manifestations will depend on their impact on these basic elemental structures.
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Affiliation(s)
- Gary C Sieck
- Department of Physiology and Biomedical Engineering, Mayo Clinic, Rochester, Minnesota
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49
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Seto JT, Quinlan KGR, Lek M, Zheng XF, Garton F, MacArthur DG, Hogarth MW, Houweling PJ, Gregorevic P, Turner N, Cooney GJ, Yang N, North KN. ACTN3 genotype influences muscle performance through the regulation of calcineurin signaling. J Clin Invest 2013; 123:4255-63. [PMID: 24091322 DOI: 10.1172/jci67691] [Citation(s) in RCA: 97] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2012] [Accepted: 07/19/2013] [Indexed: 02/02/2023] Open
Abstract
α-Actinin-3 deficiency occurs in approximately 16% of the global population due to homozygosity for a common nonsense polymorphism in the ACTN3 gene. Loss of α-actinin-3 is associated with reduced power and enhanced endurance capacity in elite athletes and nonathletes due to "slowing" of the metabolic and physiological properties of fast fibers. Here, we have shown that α-actinin-3 deficiency results in increased calcineurin activity in mouse and human skeletal muscle and enhanced adaptive response to endurance training. α-Actinin-2, which is differentially expressed in α-actinin-3-deficient muscle, has higher binding affinity for calsarcin-2, a key inhibitor of calcineurin activation. We have further demonstrated that α-actinin-2 competes with calcineurin for binding to calsarcin-2, resulting in enhanced calcineurin signaling and reprogramming of the metabolic phenotype of fast muscle fibers. Our data provide a mechanistic explanation for the effects of the ACTN3 genotype on skeletal muscle performance in elite athletes and on adaptation to changing physical demands in the general population. In addition, we have demonstrated that the sarcomeric α-actinins play a role in the regulation of calcineurin signaling.
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50
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Bonala S, McFarlane C, Ang J, Lim R, Lee M, Chua H, Lokireddy S, Sreekanth P, Leow MKS, Meng KC, Shyong TE, Lee YS, Gluckman PD, Sharma M, Kambadur R. Pid1 induces insulin resistance in both human and mouse skeletal muscle during obesity. Mol Endocrinol 2013; 27:1518-35. [PMID: 23927930 DOI: 10.1210/me.2013-1048] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Abstract
Obesity is associated with insulin resistance and abnormal peripheral tissue glucose uptake. However, the mechanisms that interfere with insulin signaling and glucose uptake in human skeletal muscle during obesity are not fully characterized. Using microarray, we have identified that the expression of Pid1 gene, which encodes for a protein that contains a phosphotyrosine-interacting domain, is increased in myoblasts established from overweight insulin-resistant individuals. Molecular analysis further validated that both Pid1 mRNA and protein levels are increased in cell culture models of insulin resistance. Consistent with these results, overexpression of phosphotyrosine interaction domain-containing protein 1 (PID1) in human myoblasts resulted in reduced insulin signaling and glucose uptake, whereas knockdown of PID1 enhanced glucose uptake and insulin signaling in human myoblasts and improved the insulin sensitivity following palmitate-, TNF-α-, or myostatin-induced insulin resistance in human myoblasts. Furthermore, the number of mitochondria in myoblasts that ectopically express PID1 was significantly reduced. In addition to overweight humans, we find that Pid1 levels are also increased in all 3 peripheral tissues (liver, skeletal muscle, and adipose tissue) in mouse models of diet-induced obesity and insulin resistance. An in silico search for regulators of Pid1 expression revealed the presence of nuclear factor-κB (NF-κB) binding sites in the Pid1 promoter. Luciferase reporter assays and chromatin immunoprecipitation studies confirmed that NF-κB is sufficient to transcriptionally up-regulate the Pid1 promoter. Furthermore, we find that myostatin up-regulates Pid1 expression via an NF-κB signaling mechanism. Collectively these results indicate that Pid1 is a potent intracellular inhibitor of insulin signaling pathway during obesity in humans and mice.
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Affiliation(s)
- Sabeera Bonala
- School of Biological Sciences, Nanyang Technological University, Singapore 637551
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