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      KCI등재후보

      Analysis of the Genetic Variation of Horse Gap Junction Protein Alpha 4 in Thoroughbreds

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      https://www.riss.kr/link?id=A108294224

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      다국어 초록 (Multilingual Abstract)

      The purpose of this study was to analyze the novel single nucleotide polymorphisms (SNPs) of the gap junction protein alpha 4 gene (GJA4) identified in horse muscle RNA-seq and to predict structural changes of proteins by SNPs. In our previous study, we observed differentially expressed genes (DEGs) in Thoroughbreds before and after exercise through RNA-seq analysis. In addition, we conducted an evolutionary analysis using Thoroughbred and Jeju horse re-sequencing data. As a result, we discovered a novel SNP present in GJA4 (LOC22385534 C>G) in the evolutionarily selected gene in the Thoroughbred horse. Transcription factor (TF) binding sites in the 5′-regulatory region of this gene were identified via PROMO. Additionally, bioinformatics tools were used to predict the effect of non-synonymous SNPs (nsSNP) on function and stability. We identified the change of protein structure owing to the amino acid sequence change, which was proline to arginine according to nsSNP data. Our analysis will be useful as a basis for studying genes and SNPs that affect horses.
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      The purpose of this study was to analyze the novel single nucleotide polymorphisms (SNPs) of the gap junction protein alpha 4 gene (GJA4) identified in horse muscle RNA-seq and to predict structural changes of proteins by SNPs. In our previous study, ...

      The purpose of this study was to analyze the novel single nucleotide polymorphisms (SNPs) of the gap junction protein alpha 4 gene (GJA4) identified in horse muscle RNA-seq and to predict structural changes of proteins by SNPs. In our previous study, we observed differentially expressed genes (DEGs) in Thoroughbreds before and after exercise through RNA-seq analysis. In addition, we conducted an evolutionary analysis using Thoroughbred and Jeju horse re-sequencing data. As a result, we discovered a novel SNP present in GJA4 (LOC22385534 C>G) in the evolutionarily selected gene in the Thoroughbred horse. Transcription factor (TF) binding sites in the 5′-regulatory region of this gene were identified via PROMO. Additionally, bioinformatics tools were used to predict the effect of non-synonymous SNPs (nsSNP) on function and stability. We identified the change of protein structure owing to the amino acid sequence change, which was proline to arginine according to nsSNP data. Our analysis will be useful as a basis for studying genes and SNPs that affect horses.

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      참고문헌 (Reference)

      1 Park, K. D., "Whole transcriptome analyses of six thoroughbred horses before and after exercise using RNA-Seq" 13 (13): 473-, 2012

      2 Buitrago, M., "The transcriptional repressor Nab1 is a specific regulator of pathological cardiac hypertrophy" 11 (11): 837-, 2005

      3 Thiel, G., "The human transcriptional repressor protein NAB1 : expression and biological activity" 1493 (1493): 289-301, 2000

      4 Harkins, J., "The correlation of running ability and physiological variables in Thoroughbred racehorses" 25 (25): 53-60, 1993

      5 Willett, P., "The Thoroughbred" Putnam 1970

      6 Tamura, T., "The IRF family transcription factors in immunity and oncogenesis" 26 : 535-584, 2008

      7 O'Donovan, K. J., "The EGR family of transcription-regulatory factors : progress at the interface of molecular and systems neuroscience" 22 (22): 167-173, 1999

      8 Hill, E., "Targets of selection in the Thoroughbred genome contain exercise-relevant gene SNPs associated with elite racecourse performance" 41 : 56-63, 2010

      9 Wang, Z., "SNPs, protein structure, and disease" 17 (17): 263-270, 2001

      10 Sunyaev, S., "Prediction of deleterious human alleles" 10 (10): 591-597, 2001

      1 Park, K. D., "Whole transcriptome analyses of six thoroughbred horses before and after exercise using RNA-Seq" 13 (13): 473-, 2012

      2 Buitrago, M., "The transcriptional repressor Nab1 is a specific regulator of pathological cardiac hypertrophy" 11 (11): 837-, 2005

      3 Thiel, G., "The human transcriptional repressor protein NAB1 : expression and biological activity" 1493 (1493): 289-301, 2000

      4 Harkins, J., "The correlation of running ability and physiological variables in Thoroughbred racehorses" 25 (25): 53-60, 1993

      5 Willett, P., "The Thoroughbred" Putnam 1970

      6 Tamura, T., "The IRF family transcription factors in immunity and oncogenesis" 26 : 535-584, 2008

      7 O'Donovan, K. J., "The EGR family of transcription-regulatory factors : progress at the interface of molecular and systems neuroscience" 22 (22): 167-173, 1999

      8 Hill, E., "Targets of selection in the Thoroughbred genome contain exercise-relevant gene SNPs associated with elite racecourse performance" 41 : 56-63, 2010

      9 Wang, Z., "SNPs, protein structure, and disease" 17 (17): 263-270, 2001

      10 Sunyaev, S., "Prediction of deleterious human alleles" 10 (10): 591-597, 2001

      11 Chasman, D., "Predicting the functional consequences of non-synonymous single nucleotide polymorphisms : structurebased assessment of amino acid variation" 307 (307): 683-706, 2001

      12 Ng, P. C., "Predicting deleterious amino acid substitutions" 11 (11): 863-874, 2001

      13 Kim, H., "Peeling back the evolutionary layers of molecular mechanisms responsive to exercise-stress in the skeletal muscle of the racing horse" 20 (20): 287-298, 2013

      14 Akira, S., "Pathogen recognition and innate immunity" 124 (124): 783-801, 2006

      15 Jones, J. H., "Oxygen transport during exercise in large mammals. I. Adaptive variation in oxygen demand" 67 (67): 862-870, 1989

      16 Pereira, S. G., "Nuclear factor-κB1 : regulation and function" 40 (40): 1425-1430, 2008

      17 Moynagh, P. N., "Interleukin-1 activates transcription factor NFκ B in glial cells" 294 (294): 343-347, 1993

      18 Young, L., "Heart size estimated by echocardiography correlates with maximal oxygen uptake" 34 (34): 467-471, 2002

      19 Wade, C. M., "Genome sequence, comparative analysis, and population genetics of the domestic horse" 326 (326): 865-867, 2009

      20 White, T. W., "Genetic diseases and gene knockouts reveal diverse connexin functions" 61 (61): 283-310, 1999

      21 Khachigian, L. M., "Egr-1-induced endothelial gene expression : a common theme in vascular injury" 271 (271): 1427-1431, 1996

      22 Yan, S. F., "Egr-1, a master switch coordinating upregulation of divergent gene families underlying ischemic stress" 6 (6): 1355-, 2000

      23 Salem, K., "Effects of exercise training on excitation–contraction coupling and related mRNA expression in hearts of Goto-Kakizaki type 2 diabetic rats" 380 (380): 83-96, 2013

      24 Cannon, J. G., "Cytokines in exertion-induced skeletal muscle injury" 179 (179): 159-168, 1998

      25 Oppenheim, J. J., "Cytokines : past, present, and future" 74 (74): 3-8, 2001

      26 Wong, C. W., "Connexin37 protects against atherosclerosis by regulating monocyte adhesion" 12 (12): 950-, 2006

      27 Gauvreau, G. M., "Comparison of aerobic capacity between racing standardbred horses" 78 (78): 1447-1451, 1995

      28 Gu, J., "A genome scan for positive selection in thoroughbred horses" 4 (4): e5767-, 2009

      29 Hill, E. W., "A Sequence Polymorphism in MSTN Predicts Sprinting Ability and Racing Stamina in Thoroughbred Horses" 5 (5): 2010

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