期刊论文详细信息
BMC Systems Biology
RNF14 is a regulator of mitochondrial and immune function in muscle
Nicholas J Hudson2  Robert Seymour2  Gene Wijffels2  Brian P Dalrymple2  Angela Jeanes1  Antonio Reverter2  Kritaya Kongsuwan2  Wei Chen2  Suzie Briscoe2  Moira Menzies2  Simone A Osborne2  Aaron B Ingham2 
[1] School of Biomedical Sciences, University of Queensland, St. Lucia, Queensland, Australia;CSIRO Animal, Food and Health Sciences, 306 Carmody Road, St. Lucia, Queensland, Australia
关键词: Networks;    Muscle;    RNF14;    Inflammation;    Mitochondria;   
Others  :  1141458
DOI  :  10.1186/1752-0509-8-10
 received in 2013-04-30, accepted in 2014-01-21,  发布年份 2014
PDF
【 摘 要 】

Background

Muscle development and remodelling, mitochondrial physiology and inflammation are thought to be inter-related and to have implications for metabolism in both health and disease. However, our understanding of their molecular control is incomplete.

Results

In this study we have confirmed that the ring finger 14 protein (RNF14), a poorly understood transcriptional regulator, influences the expression of both mitochondrial and immune-related genes. The prediction was based on a combination of network connectivity and differential connectivity in cattle (a non-model organism) and mice data sets, with a focus on skeletal muscle. They assigned similar probability to mammalian RNF14 playing a regulatory role in mitochondrial and immune gene expression. To try and resolve this apparent ambiguity we performed a genome-wide microarray expression analysis on mouse C2C12 myoblasts transiently transfected with two Rnf14 transcript variants that encode 2 naturally occurring but different RNF14 protein isoforms. The effect of both constructs was significantly different to the control samples (untransfected cells and cells transfected with an empty vector). Cluster analyses revealed that transfection with the two Rnf14 constructs yielded discrete expression signatures from each other, but in both cases a substantial set of genes annotated as encoding proteins related to immune function were perturbed. These included cytokines and interferon regulatory factors. Additionally, transfection of the longer transcript variant 1 coordinately increased the expression of 12 (of the total 13) mitochondrial proteins encoded by the mitochondrial genome, 3 of which were significant in isolated pair-wise comparisons (Mt-coxII, Mt-nd2 and mt-nd4l). This apparent additional mitochondrial function may be attributable to the RWD protein domain that is present only in the longer RNF14 isoform.

Conclusions

RNF14 influences the expression of both mitochondrial and immune related genes in a skeletal muscle context, and has likely implications for the inter-relationship between bioenergetic status and inflammation.

【 授权许可】

   
2014 Ingham et al.; licensee BioMed Central Ltd.

【 预 览 】
附件列表
Files Size Format View
20150327051639772.pdf 687KB PDF download
Figure 3. 92KB Image download
Figure 2. 102KB Image download
Figure 1. 65KB Image download
【 图 表 】

Figure 1.

Figure 2.

Figure 3.

【 参考文献 】
  • [1]Holloway GP, Bonen A, Spriet LL: Regulation of skeletal muscle mitochondrial fatty acid metabolism in lean and obese individuals. Am J Clin Nutr 2009, 89(1):455S-462S.
  • [2]Couturier A, Ringseis R, Mooren FC, Kruger K, Most E, Eder K: Carnitine supplementation to obese Zucker rats prevents obesity-induced type II to type I muscle fiber transition and favors an oxidative phenotype of skeletal muscle. Nutr Metab (Lond) 2013, 10(1):48. BioMed Central Full Text
  • [3]Hudson NJ: Symmorphosis and livestock bioenergetics: production animal muscle has low mitochondrial volume fractions. J Anim Physiol Anim Nutr (Berl) 2009, 93(1):1-6.
  • [4]Short KR, Bigelow ML, Kahl J, Singh R, Coenen-Schimke J, Raghavakaimal S, Nair KS: Decline in skeletal muscle mitochondrial function with aging in humans. Proc Natl Acad Sci USA 2005, 102(15):5618-5623.
  • [5]Karlsson J, Sjodin B, Tesch P, Larsson L: The significance of muscle fibre composition to human performance capacity. Scand J Rehabil Med Suppl 1978, 6:50-61.
  • [6]Kim JM, Lee KT, Lim KS, Park EW, Lee YS, Hong KC: Effects of p.C430S polymorphism in the PPARGC1A gene on muscle fibre type composition and meat quality in Yorkshire pigs. Anim Genet 2010, 41(6):642-645.
  • [7]MacIntyre DL, Sorichter S, Mair J, Berg A, McKenzie DC: Markers of inflammation and myofibrillar proteins following eccentric exercise in humans. Eur J Appl Physiol 2001, 84(3):180-186.
  • [8]Malm C, Lenkei R, Sjodin B: Effects of eccentric exercise on the immune system in men. J Appl Physiol 1999, 86(2):461-468.
  • [9]Malm C, Nyberg P, Engstrom M, Sjodin B, Lenkei R, Ekblom B, Lundberg I: Immunological changes in human skeletal muscle and blood after eccentric exercise and multiple biopsies. J Physiol 2000, 529(Pt 1):243-262.
  • [10]Hudson NJ, Reverter A, Wang Y, Greenwood PL, Dalrymple BP: Inferring the transcriptional landscape of bovine skeletal muscle by integrating co-expression networks. PLoS One 2009, 4(10):e7249.
  • [11]Kang HY, Yeh S, Fujimoto N, Chang C: Cloning and characterization of human prostate coactivator ARA54, a novel protein that associates with the androgen receptor. J Biol Chem 1999, 274(13):8570-8576.
  • [12]Hudson NJ, Reverter A, Dalrymple BP: A differential wiring analysis of expression data correctly identifies the gene containing the causal mutation. PLoS Comput Biol 2009, 5(5):e1000382.
  • [13]Reverter A, Hudson NJ, Nagaraj SH, Perez-Enciso M, Dalrymple BP: Regulatory impact factors: unraveling the transcriptional regulation of complex traits from expression data. Bioinformatics 2010, 26(7):896-904.
  • [14]Liu X, Yu X, Zack DJ, Zhu H, Qian J: TiGER: a database for tissue-specific gene expression and regulation. BMC Bioinf 2008, 9:271. BioMed Central Full Text
  • [15]Reverter A, Barris W, McWilliam S, Byrne KA, Wang YH, Tan SH, Hudson N, Dalrymple BP: Validation of alternative methods of data normalization in gene co-expression studies. Bioinformatics 2005, 21(7):1112-1120.
  • [16]Moser RJ, Reverter A, Kerr CA, Beh KJ, Lehnert SA: A mixed-model approach for the analysis of cDNA microarray gene expression data from extreme-performing pigs after infection with Actinobacillus pleuropneumoniae. J Anim Sci 2004, 82(5):1261-1271.
  • [17]Eden E, Navon R, Steinfeld I, Lipson D, Yakhini Z: GOrilla: a tool for discovery and visualization of enriched GO terms in ranked gene lists. BMC Bioinf 2009, 10:48. BioMed Central Full Text
  • [18]da Huang W, Sherman BT, Lempicki RA: Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources. Nat Protoc 2009, 4(1):44-57.
  • [19]Livak KJ: Relative quantitation of gene expression. In User bulletin #2 ABI prism 7700 sequence detection system. Applied Biosystems; 1997.
  • [20]Xu Y, Johansson M, Karlsson A: Human UMP-CMP kinase 2, a novel nucleoside monophosphate kinase localized in mitochondria. J Biol Chem 2008, 283(3):1563-1571.
  • [21]Wu B, Piloto S, Zeng W, Hoverter NP, Schilling TF, Waterman ML: Ring Finger Protein 14 is a new regulator of TCF/beta-catenin-mediated transcription and colon cancer cell survival. EMBO Rep 2013, 14(4):347-355.
  • [22]Yoon JC, Ng A, Kim BH, Bianco A, Xavier RJ, Elledge SJ: Wnt signaling regulates mitochondrial physiology and insulin sensitivity. Genes Dev 2010, 24(14):1507-1518.
  • [23]Chen YW, Hubal MJ, Hoffman EP, Thompson PD, Clarkson PM: Molecular responses of human muscle to eccentric exercise. J Appl Physiol 2003, 95(6):2485-2494.
  • [24]Chiarugi A, Moskowitz MA: Cell biology. PARP-1–a perpetrator of apoptotic cell death? Science 2002, 297(5579):200-201.
  • [25]West AP, Shadel GS, Ghosh S: Mitochondria in innate immune responses. Nat Rev Immunol 2011, 11(6):389-402.
  • [26]Khoo J, Nagley P, Mansell A: Mitochondria: an unexpected force in innate immunity. Aust Biochemist 2013, 44(1):17-20.
  • [27]Scott I: The role of mitochondria in the mammalian antiviral defense system. Mitochondrion 2010, 10(4):316-320.
  • [28]Sorokin L: The impact of the extracellular matrix on inflammation. Nat Rev Immunol 2010, 10(10):712-723.
  • [29]Moran JL, Li Y, Hill AA, Mounts WM, Miller CP: Gene expression changes during mouse skeletal myoblast differentiation revealed by transcriptional profiling. Physiol Genomics 2002, 10(2):103-111.
  • [30]Reverter A, Chan EK: Combining partial correlation and an information theory approach to the reversed engineering of gene co-expression networks. Bioinformatics 2008, 24(21):2491-2497.
  • [31]Balci B, Dincer P: Efficient transfection of mouse-derived C2C12 myoblasts using a matrigel basement membrane matrix. Biotechnol J 2009, 4(7):1042-1045.
  • [32]Reverter A, Ingham A, Lehnert SA, Tan SH, Wang Y, Ratnakumar A, Dalrymple BP: Simultaneous identification of differential gene expression and connectivity in inflammation, adipogenesis and cancer. Bioinformatics 2006, 22(19):2396-2404.
  • [33]Nagaraj SH, Reverter A: A Boolean-based systems biology approach to predict novel genes associated with cancer: Application to colorectal cancer. BMC Syst Biol 2011, 5:35. BioMed Central Full Text
  • [34]Caraux G, Pinloche S: PermutMatrix: a graphical environment to arrange gene expression profiles in optimal linear order. Bioinformatics 2005, 21(7):1280-1281.
  • [35]McLachlan GJ, Bean RW, Jones LB: A simple implementation of a normal mixture approach to differential gene expression in multiclass microarrays. Bioinformatics 2006, 22(13):1608-1615.
  • [36]McLachlan GJ, Bean RW, Peel D: A mixture model-based approach to the clustering of microarray expression data. Bioinformatics 2002, 18(3):413-422.
  • [37]De Jager N, Hudson NJ, Reverter A, Wang YH, Nagaraj SH, Café LM, Greenwood PL, Barnard RT, Kongsuwan KP, Dalrymple BP: Chronic exposure to anabolic steroids induces the muscle expression of oxytocin and a more than fiftyfold increase in circulating oxytocin in muscle. Physiol Genomics 2011, 43(9):467-478.
  文献评价指标  
  下载次数:5次 浏览次数:5次