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Volumn 38, Issue 5, 2010, Pages 1653-1662

Adp-ribosylation factor guanine nucleotide-exchange factor 2 (ARFGEF2): A new potential biomarker in huntington's disease

Author keywords

ADP ribosylation factors; ARFGEF2; Biomarkers; Gene expression; Huntington's disease; Transcriptomics; Trinucleotide repeat diseases

Indexed keywords

ADENOSINE DIPHOSPHATE RIBOSYLATION FACTOR; ADENOSINE DIPHOSPHATE RIBOSYLATION FACTOR GUANINE NUCLEOTIDE EXCHANGE FACTOR 2; ALPHA ACTININ 4; BIOLOGICAL MARKER; DNA DIRECTED DNA POLYMERASE ALPHA; GOLGI AUTOANTIGEN GOLGIN SUBFAMILY A 8G; GUANINE NUCLEOTIDE EXCHANGE FACTOR; UNCLASSIFIED DRUG;

EID: 78449311670     PISSN: 03000605     EISSN: None     Source Type: Journal    
DOI: 10.1177/147323001003800510     Document Type: Article
Times cited : (9)

References (20)
  • 2
    • 44449131447 scopus 로고    scopus 로고
    • Huntington's disease: From pathology and genetics to potential therapies
    • Imarisio S, Carmichael J, Korolchuk V: Huntington's disease: from pathology and genetics to potential therapies. Biochem J 2008; 412: 191-209.
    • (2008) Biochem J , vol.412 , pp. 191-209
    • Imarisio, S.1    Carmichael, J.2    Korolchuk, V.3
  • 3
    • 0027480960 scopus 로고
    • A novel gene containing a trinucleotide repeat that is expanded and unstable on Huntington's disease chromosomes
    • The Huntington's Disease Collaborative Research Group
    • The Huntington's Disease Collaborative Research Group: A novel gene containing a trinucleotide repeat that is expanded and unstable on Huntington's disease chromosomes. Cell 1993; 72: 971-983.
    • (1993) Cell , vol.72 , pp. 971-983
  • 4
    • 0041656292 scopus 로고    scopus 로고
    • The hunt for huntingtin function: Interaction partners tell many different stories
    • Harjes P, Wanker EE: The hunt for huntingtin function: interaction partners tell many different stories. Trends Biochem Sci 2003; 28: 425-433.
    • (2003) Trends Biochem Sci , vol.28 , pp. 425-433
    • Harjes, P.1    Wanker, E.E.2
  • 5
    • 16644391067 scopus 로고    scopus 로고
    • Biomarkers of neurodegenerative disorders: How good are they?
    • Rachakonda V, Pan TH, Le WD: Biomarkers of neurodegenerative disorders: how good are they? Cell Res 2004; 14: 347-358.
    • (2004) Cell Res , vol.14 , pp. 347-358
    • Rachakonda, V.1    Pan, T.H.2    Le, W.D.3
  • 7
    • 85009332113 scopus 로고    scopus 로고
    • Unified Huntington's Disease Rating Scale: Reliability and consistency
    • Huntington Study Group
    • Huntington Study Group: Unified Huntington's Disease Rating Scale: reliability and consistency. Mov Disord 1996; 11: 136-142.
    • (1996) Mov Disord , vol.11 , pp. 136-142
  • 8
    • 0018303366 scopus 로고
    • Huntington disease: Clinical care and evaluation
    • Shoulson I, Fahn S: Huntington disease: clinical care and evaluation. Neurology 1979; 29: 1-3.
    • (1979) Neurology , vol.29 , pp. 1-3
    • Shoulson, I.1    Fahn, S.2
  • 9
    • 23344448837 scopus 로고    scopus 로고
    • Genome-wide expression profiling of human blood reveals biomarkers for Huntington's disease
    • Borovecki F, Lovrecic L, Zhou J, et al: Genome-wide expression profiling of human blood reveals biomarkers for Huntington's disease. Proc Natl Acad Sci USA 2005; 102: 11023-11028.
    • (2005) Proc Natl Acad Sci USA , vol.102 , pp. 11023-11028
    • Borovecki, F.1    Lovrecic, L.2    Zhou, J.3
  • 10
    • 35448968328 scopus 로고    scopus 로고
    • Analysis of potential transcriptomic biomarkers for Huntington's disease in peripheral blood
    • Runne H, Kuhn A, Wild EJ, et al: Analysis of potential transcriptomic biomarkers for Huntington's disease in peripheral blood. Proc Natl Acad Sci USA 2007; 104: 14424-14429.
    • (2007) Proc Natl Acad Sci USA , vol.104 , pp. 14424-14429
    • Runne, H.1    Kuhn, A.2    Wild, E.J.3
  • 13
    • 0036161259 scopus 로고    scopus 로고
    • Gene selection for cancer classification using support vector machines
    • Guyon I, Weston J, Barnhill S, et al: Gene selection for cancer classification using support vector machines. Mach Learn 2002; 46: 389-422.
    • (2002) Mach Learn , vol.46 , pp. 389-422
    • Guyon, I.1    Weston, J.2    Barnhill, S.3
  • 14
    • 2942602999 scopus 로고    scopus 로고
    • Entropy-based gene ranking without selection bias for the predictive classification of microarray data
    • Furlanello C, Serafini M, Merler S, et al: Entropy-based gene ranking without selection bias for the predictive classification of microarray data. BMC Bioinformatics 2003; 4: 54.
    • (2003) BMC Bioinformatics , vol.4 , pp. 54
    • Furlanello, C.1    Serafini, M.2    Merler, S.3
  • 16
    • 0033990048 scopus 로고    scopus 로고
    • Primer3 on the WWW for general users and for biologist programmers
    • Rozen S, Skaletsky H: Primer3 on the WWW for general users and for biologist programmers. Methods Mol Biol 2000; 132: 365-386.
    • (2000) Methods Mol Biol , vol.132 , pp. 365-386
    • Rozen, S.1    Skaletsky, H.2
  • 17
    • 33947360340 scopus 로고    scopus 로고
    • Hypothesis: Huntingtin may function in membrane association and vesicular trafficking
    • Truant R, Atwal R, Burtnik A: Hypothesis: huntingtin may function in membrane association and vesicular trafficking. Biochem Cell Biol 2006; 84: 912-917.
    • (2006) Biochem Cell Biol , vol.84 , pp. 912-917
    • Truant, R.1    Atwal, R.2    Burtnik, A.3
  • 18
    • 11144237210 scopus 로고    scopus 로고
    • HAP1 and intracellular trafficking
    • Li XY, Li SH: HAP1 and intracellular trafficking. Trends Pharmacol Sci 2005; 26: 1-3.
    • (2005) Trends Pharmacol Sci , vol.26 , pp. 1-3
    • Li, X.Y.1    Li, S.H.2
  • 20
    • 44449145580 scopus 로고    scopus 로고
    • A comparative study of different machine learning methods on microarray gene expression data
    • Pirooznia M, Yang JY, Yang MQ, et al: A comparative study of different machine learning methods on microarray gene expression data. BMC Genomics 2008; 9(suppl 1): S13.
    • (2008) BMC Genomics , vol.9 , Issue.SUPPL. 1
    • Pirooznia, M.1    Yang, J.Y.2    Yang, M.Q.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.