Skip navigation

DSpace

機構典藏 DSpace 系統致力於保存各式數位資料(如:文字、圖片、PDF)並使其易於取用。

點此認識 DSpace
DSpace logo
English
中文
  • 瀏覽論文
    • 校院系所
    • 出版年
    • 作者
    • 標題
    • 關鍵字
    • 指導教授
  • 搜尋 TDR
  • 授權 Q&A
    • 我的頁面
    • 接受 E-mail 通知
    • 編輯個人資料
  1. NTU Theses and Dissertations Repository
  2. 醫學院
  3. 生理學科所
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/76939
完整後設資料紀錄
DC 欄位值語言
dc.contributor.advisor湯志永(Chih-Yung Tang)
dc.contributor.authorCheng-Tsung Hsiaoen
dc.contributor.author蕭丞宗zh_TW
dc.date.accessioned2021-07-10T21:41:03Z-
dc.date.available2021-07-10T21:41:03Z-
dc.date.copyright2020-09-10
dc.date.issued2020
dc.date.submitted2020-08-06
dc.identifier.citation1. Klockgether T. Sporadic ataxia with adult onset: classification and diagnostic criteria. The Lancet Neurology. 2010 Jan;9(1):94-104.
2. Durr A. Autosomal dominant cerebellar ataxias: polyglutamine expansions and beyond. The Lancet Neurology. 2010 Sep;9(9):885-94.
3. Paulson HL, Shakkottai VG, Clark HB, Orr HT. Polyglutamine spinocerebellar ataxias - from genes to potential treatments. Nature reviews Neuroscience. 2017 Oct;18(10):613-26.
4. Soong BW, Morrison PJ. Spinocerebellar ataxias. Handbook of clinical neurology. 2018;155:143-74.
5. Harding AE. Classification of the hereditary ataxias and paraplegias. Lancet (London, England). 1983 May 21;1(8334):1151-5.
6. Koide R, Ikeuchi T, Onodera O, et al. Unstable expansion of CAG repeat in hereditary dentatorubral-pallidoluysian atrophy (DRPLA). Nature genetics. 1994 Jan;6(1):9-13.
7. Jayadev S, Bird TD. Hereditary ataxias: overview. Genetics in medicine : official journal of the American College of Medical Genetics. 2013 Sep;15(9):673-83.
8. Kuo SH. Ataxia. Continuum (Minneapolis, Minn). 2019 Aug;25(4):1036-54.
9. Lee YC, Liao YC, Wang PS, Lee IH, Lin KP, Soong BW. Comparison of cerebellar ataxias: A three-year prospective longitudinal assessment. Movement disorders : official journal of the Movement Disorder Society. 2011 Sep;26(11):2081-7.
10. Schmitz-Hubsch T, du Montcel ST, Baliko L, et al. Scale for the assessment and rating of ataxia: development of a new clinical scale. Neurology. 2006 Jun 13;66(11):1717-20.
11. Chen HC, Lirng JF, Soong BW, et al. The merit of proton magnetic resonance spectroscopy in the longitudinal assessment of spinocerebellar ataxias and multiple system atrophy-cerebellar type. Cerebellum ataxias. 2014;1:17.
12. Bushart DD, Shakkottai VG. Ion channel dysfunction in cerebellar ataxia. Neuroscience letters. 2019 Jan 1;688:41-8.
13. Coutelier M, Coarelli G, Monin ML, et al. A panel study on patients with dominant cerebellar ataxia highlights the frequency of channelopathies. Brain : a journal of neurology. 2017 Jun 1;140(6):1579-94.
14. Naka H, Ohshita T, Murata Y, Imon Y, Mimori Y, Nakamura S. Characteristic MRI findings in multiple system atrophy: comparison of the three subtypes. Neuroradiology. 2002 Mar;44(3):204-9.
15. Ashizawa T, Oz G, Paulson HL. Spinocerebellar ataxias: prospects and challenges for therapy development. Nature reviews Neurology. 2018 Oct;14(10):590-605.
16. Diallo A, Jacobi H, Cook A, et al. Survival in patients with spinocerebellar ataxia types 1, 2, 3, and 6 (EUROSCA): a longitudinal cohort study. The Lancet Neurology. 2018 Apr;17(4):327-34.
17. Obayashi M, Ishikawa K, Izumi Y, et al. Prevalence of inositol 1, 4, 5-triphosphate receptor type 1 gene deletion, the mutation for spinocerebellar ataxia type 15, in Japan screened by gene dosage. Journal of human genetics. 2012 Mar;57(3):202-6.
18. Liao YC, Liu YT, Tsai PC, et al. Two Novel De Novo GARS Mutations Cause Early-Onset Axonal Charcot-Marie-Tooth Disease. PloS one. 2015;10(8):e0133423.
19. Kumar P, Henikoff S, Ng PC. Predicting the effects of coding non-synonymous variants on protein function using the SIFT algorithm. Nature protocols. 2009;4(7):1073-81.
20. Capriotti E, Calabrese R, Fariselli P, Martelli PL, Altman RB, Casadio R. WS-SNPs GO: a web server for predicting the deleterious effect of human protein variants using functional annotation. BMC genomics. 2013;14 Suppl 3:S6.
21. Adzhubei IA, Schmidt S, Peshkin L, et al. A method and server for predicting damaging missense mutations. Nature methods. 2010 Apr;7(4):248-9.
22. Schwarz JM, Cooper DN, Schuelke M, Seelow D. MutationTaster2: mutation prediction for the deep-sequencing age. Nature methods. 2014 Apr;11(4):361-2.
23. Kircher M, Witten DM, Jain P, O'Roak BJ, Cooper GM, Shendure J. A general framework for estimating the relative pathogenicity of human genetic variants. Nature genetics. 2014 Mar;46(3):310-5.
24. Pettersen EF, Goddard TD, Huang CC, et al. UCSF Chimera--a visualization system for exploratory research and analysis. Journal of computational chemistry. 2004 Oct;25(13):1605-12.
25. Webb B, Sali A. Comparative Protein Structure Modeling Using MODELLER. Current protocols in bioinformatics. 2016 Jun 20;54:5.6.1-5.6.37.
26. Chen X, Wang Q, Ni F, Ma J. Structure of the full-length Shaker potassium channel Kv1.2 by normal-mode-based X-ray crystallographic refinement. Proceedings of the National Academy of Sciences of the United States of America. 2010 Jun 22;107(25):11352-7.
27. Long SB, Tao X, Campbell EB, MacKinnon R. Atomic structure of a voltage-dependent K+ channel in a lipid membrane-like environment. Nature. 2007 Nov 15;450(7168):376-82.
28. Jeng CJ, Chen YT, Chen YW, Tang CY. Dominant-negative effects of human P/Q-type Ca2+ channel mutations associated with episodic ataxia type 2. American journal of physiology Cell physiology. 2006 Apr;290(4):C1209-20.
29. Pandey UB, Nie Z, Batlevi Y, et al. HDAC6 rescues neurodegeneration and provides an essential link between autophagy and the UPS. Nature. 2007 Jun 14;447(7146):859-63.
30. Jenny A. Preparation of adult Drosophila eyes for thin sectioning and microscopic analysis. Journal of visualized experiments : JoVE. 2011 Aug 27(54).
31. Madabattula ST, Strautman JC, Bysice AM, et al. Quantitative Analysis of Climbing Defects in a Drosophila Model of Neurodegenerative Disorders. Journal of visualized experiments : JoVE. 2015 Jun 13(100):e52741.
32. Karim MR, Moore AW. Morphological analysis of Drosophila larval peripheral sensory neuron dendrites and axons using genetic mosaics. Journal of visualized experiments : JoVE. 2011 Nov 7(57):e3111.
33. Guan W, Venkatasubramanian L, Baek M, Mann RS, Enriquez J. Visualize Drosophila Leg Motor Neuron Axons Through the Adult Cuticle. Journal of visualized experiments : JoVE. 2018 Oct 30(140).
34. Foskett JK, White C, Cheung KH, Mak DO. Inositol trisphosphate receptor Ca2+ release channels. Physiol Rev. 2007 Apr;87(2):593-658.
35. Nakanishi S, Maeda N, Mikoshiba K. Immunohistochemical localization of an inositol 1,4,5-trisphosphate receptor, P400, in neural tissue: studies in developing and adult mouse brain. The Journal of neuroscience : the official journal of the Society for Neuroscience. 1991 Jul;11(7):2075-86.
36. Yamada N, Makino Y, Clark RA, et al. Human inositol 1,4,5-trisphosphate type-1 receptor, InsP3R1: structure, function, regulation of expression and chromosomal localization. Biochem J. 1994 Sep 15;302:781-90.
37. van de Leemput J, Chandran J, Knight MA, et al. Deletion at ITPR1 underlies ataxia in mice and spinocerebellar ataxia 15 in humans. PLoS genetics. 2007 Jun;3(6):e108.
38. Knight MA, Kennerson ML, Anney RJ, et al. Spinocerebellar ataxia type 15 (sca15) maps to 3p24.2-3pter: exclusion of the ITPR1 gene, the human orthologue of an ataxic mouse mutant. Neurobiol Dis. 2003 Jul;13(2):147-57.
39. Hara K, Shiga A, Nozaki H, et al. Total deletion and a missense mutation of ITPR1 in Japanese SCA15 families. Neurology. 2008 Aug 19;71(8):547-51.
40. Di Gregorio E, Orsi L, Godani M, et al. Two Italian families with ITPR1 gene deletion presenting a broader phenotype of SCA15. Cerebellum. 2010 Mar;9(1):115-23.
41. Novak MJ, Sweeney MG, Li A, et al. An ITPR1 gene deletion causes spinocerebellar ataxia 15/16: a genetic, clinical and radiological description. Movement disorders : official journal of the Movement Disorder Society. 2010 Oct 15;25(13):2176-82.
42. Castrioto A, Prontera P, Di Gregorio E, et al. A novel spinocerebellar ataxia type 15 family with involuntary movements and cognitive decline. European journal of neurology. 2011 Oct;18(10):1263-5.
43. Marelli C, van de Leemput J, Johnson JO, et al. SCA15 due to large ITPR1 deletions in a cohort of 333 white families with dominant ataxia. Arch Neurol. 2011 May;68(5):637-43.
44. Yamazaki H, Nozaki H, Onodera O, Michikawa T, Nishizawa M, Mikoshiba K. Functional characterization of the P1059L mutation in the inositol 1,4,5-trisphosphate receptor type 1 identified in a Japanese SCA15 family. Biochemical and biophysical research communications. 2011 Jul 15;410(4):754-8.
45. Ganesamoorthy D, Bruno DL, Schoumans J, et al. Development of a multiplex ligation-dependent probe amplification assay for diagnosis and estimation of the frequency of spinocerebellar ataxia type 15. Clinical chemistry. 2009 Jul;55(7):1415-8.
46. Dudding TE, Friend K, Schofield PW, Lee S, Wilkinson IA, Richards RI. Autosomal dominant congenital non-progressive ataxia overlaps with the SCA15 locus. Neurology. 2004 Dec 28;63(12):2288-92.
47. Huang L, Chardon JW, Carter MT, et al. Missense mutations in ITPR1 cause autosomal dominant congenital nonprogressive spinocerebellar ataxia. Orphanet journal of rare diseases. 2012;7:67.
48. Ohba C, Osaka H, Iai M, et al. Diagnostic utility of whole exome sequencing in patients showing cerebellar and/or vermis atrophy in childhood. Neurogenetics. 2013 Nov;14(3-4):225-32.
49. Fogel BL, Lee H, Deignan JL, et al. Exome sequencing in the clinical diagnosis of sporadic or familial cerebellar ataxia. JAMA neurology. 2014 Oct;71(10):1237-46.
50. Gonzaga-Jauregui C, Harel T, Gambin T, et al. Exome Sequence Analysis Suggests that Genetic Burden Contributes to Phenotypic Variability and Complex Neuropathy. Cell reports. 2015 Aug 18;12(7):1169-83.
51. Sasaki M, Ohba C, Iai M, et al. Sporadic infantile-onset spinocerebellar ataxia caused by missense mutations of the inositol 1,4,5-triphosphate receptor type 1 gene. Journal of neurology. 2015 May;262(5):1278-84.
52. Barresi S, Niceta M, Alfieri P, et al. Mutations in the IRBIT domain of ITPR1 are a frequent cause of autosomal dominant nonprogressive congenital ataxia. Clin Genet. 2016 Apr 7.
53. Shadrina MI, Shulskaya MV, Klyushnikov SA, et al. ITPR1 gene p.Val1553Met mutation in Russian family with mild Spinocerebellar ataxia. Cerebellum Ataxias. 2016;3:2.
54. Parolin Schnekenberg R, Perkins EM, Miller JW, et al. De novo point mutations in patients diagnosed with ataxic cerebral palsy. Brain : a journal of neurology. 2015 Jul;138(Pt 7):1817-32.
55. van Dijk T, Barth P, Reneman L, Appelhof B, Baas F, Poll-The BT. A de novo missense mutation in the inositol 1,4,5-triphosphate receptor type 1 gene causing severe pontine and cerebellar hypoplasia: Expanding the phenotype of ITPR1-related spinocerebellar ataxia's. American journal of medical genetics Part A. 2017 Jan;173(1):207-12.
56. Gerber S, Alzayady KJ, Burglen L, et al. Recessive and Dominant De Novo ITPR1 Mutations Cause Gillespie Syndrome. Am J Hum Genet. 2016 May 5;98(5):971-80.
57. McEntagart M, Williamson KA, Rainger JK, et al. A Restricted Repertoire of De Novo Mutations in ITPR1 Cause Gillespie Syndrome with Evidence for Dominant-Negative Effect. Am J Hum Genet. 2016 May 5;98(5):981-92.
58. Bezprozvanny I. Role of inositol 1,4,5-trisphosphate receptors in pathogenesis of Huntington's disease and spinocerebellar ataxias. Neurochemical research. 2011 Jul;36(7):1186-97.
59. Turkmen S, Guo G, Garshasbi M, et al. CA8 mutations cause a novel syndrome characterized by ataxia and mild mental retardation with predisposition to quadrupedal gait. PLoS genetics. 2009 May;5(5):e1000487.
60. Jarius S, Scharf M, Begemann N, et al. Antibodies to the inositol 1,4,5-trisphosphate receptor type 1 (ITPR1) in cerebellar ataxia. Journal of neuroinflammation. 2014;11:206.
61. Jarius S, Wildemann B. 'Medusa-head ataxia': the expanding spectrum of Purkinje cell antibodies in autoimmune cerebellar ataxia. Part 1: Anti-mGluR1, anti-Homer-3, anti-Sj/ITPR1 and anti-CARP VIII. Journal of neuroinflammation. 2015;12:166.
62. Schwarz JM, Rodelsperger C, Schuelke M, Seelow D. MutationTaster evaluates disease-causing potential of sequence alterations. Nature methods. 2010 Aug;7(8):575-6.
63. Richards S, Aziz N, Bale S, et al. Standards and guidelines for the interpretation of sequence variants: a joint consensus recommendation of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology. Genetics in medicine : official journal of the American College of Medical Genetics. 2015 May;17(5):405-24.
64. Synofzik M, Beetz C, Bauer C, et al. Spinocerebellar ataxia type 15: diagnostic assessment, frequency, and phenotypic features. Journal of medical genetics. 2011 Jun;48(6):407-12.
65. Fan G, Baker ML, Wang Z, et al. Gating machinery of InsP3R channels revealed by electron cryomicroscopy. Nature. 2015 Nov 19;527(7578):336-41.
66. Hoffman DA, Magee JC, Colbert CM, Johnston D. K+ channel regulation of signal propagation in dendrites of hippocampal pyramidal neurons. Nature. 1997 Jun 26;387(6636):869-75.
67. Nadal MS, Amarillo Y, Vega-Saenz de Miera E, Rudy B. Evidence for the presence of a novel Kv4-mediated A-type K(+) channel-modifying factor. The Journal of physiology. 2001 Dec 15;537(Pt 3):801-9.
68. An WF, Bowlby MR, Betty M, et al. Modulation of A-type potassium channels by a family of calcium sensors. Nature. 2000 Feb 3;403(6769):553-6.
69. Serodio P, Rudy B. Differential expression of Kv4 K+ channel subunits mediating subthreshold transient K+ (A-type) currents in rat brain. Journal of neurophysiology. 1998 Feb;79(2):1081-91.
70. Dilks D, Ling HP, Cockett M, Sokol P, Numann R. Cloning and expression of the human kv4.3 potassium channel. Journal of neurophysiology. 1999 Apr;81(4):1974-7.
71. Jerng HH, Pfaffinger PJ, Covarrubias M. Molecular physiology and modulation of somatodendritic A-type potassium channels. Molecular and cellular neurosciences. 2004 Dec;27(4):343-69.
72. Serodio P, Vega-Saenz de Miera E, Rudy B. Cloning of a novel component of A-type K+ channels operating at subthreshold potentials with unique expression in heart and brain. Journal of neurophysiology. 1996 May;75(5):2174-9.
73. Isbrandt D, Leicher T, Waldschutz R, et al. Gene structures and expression profiles of three human KCND (Kv4) potassium channels mediating A-type currents I(TO) and I(SA). Genomics. 2000 Mar 1;64(2):144-54.
74. Ohya S, Tanaka M, Oku T, et al. Regional expression of the splice variants of Kv4.3 in rat brain and effects of C-terminus deletion on expressed K+ currents. Life sciences. 2001 Mar 2;68(15):1703-16.
75. Kollo M, Holderith NB, Nusser Z. Novel subcellular distribution pattern of A-type K+ channels on neuronal surface. The Journal of neuroscience : the official journal of the Society for Neuroscience. 2006 Mar 8;26(10):2684-91.
76. Hsu YH, Huang HY, Tsaur ML. Contrasting expression of Kv4.3, an A-type K+ channel, in migrating Purkinje cells and other post-migratory cerebellar neurons. The European journal of neuroscience. 2003 Aug;18(3):601-12.
77. Schols L, Bauer P, Schmidt T, Schulte T, Riess O. Autosomal dominant cerebellar ataxias: clinical features, genetics, and pathogenesis. The Lancet Neurology. 2004 May;3(5):291-304.
78. Lee YC, Durr A, Majczenko K, et al. Mutations in KCND3 cause spinocerebellar ataxia type 22. Annals of neurology. 2012 Dec;72(6):859-69.
79. Duarri A, Jezierska J, Fokkens M, et al. Mutations in potassium channel kcnd3 cause spinocerebellar ataxia type 19. Annals of neurology. 2012 Dec;72(6):870-80.
80. Duarri A, Nibbeling E, Fokkens MR, et al. The L450F [Corrected] mutation in KCND3 brings spinocerebellar ataxia and Brugada syndrome closer together. Neurogenetics. 2013 Nov;14(3-4):257-8.
81. Smets K, Duarri A, Deconinck T, et al. First de novo KCND3 mutation causes severe Kv4.3 channel dysfunction leading to early onset cerebellar ataxia, intellectual disability, oral apraxia and epilepsy. BMC medical genetics. 2015 Jul 21;16:51.
82. Huin V, Strubi-Vuillaume I, Dujardin K, et al. Expanding the phenotype of SCA19/22: Parkinsonism, cognitive impairment and epilepsy. Parkinsonism related disorders. 2017 Dec;45:85-9.
83. Choi KD, Kim JS, Kim HJ, et al. Genetic Variants Associated with Episodic Ataxia in Korea. Scientific reports. 2017 Oct 23;7(1):13855.
84. Coutelier M, Hammer MB, Stevanin G, et al. Efficacy of Exome-Targeted Capture Sequencing to Detect Mutations in Known Cerebellar Ataxia Genes. JAMA neurology. 2018 Feb 26;75(5):591-9.
85. Paucar M, Bergendal A, Gustavsson P, et al. Novel Features and Abnormal Pattern of Cerebral Glucose Metabolism in Spinocerebellar Ataxia 19. Cerebellum (London, England). 2018 Aug;17(4):465-76.
86. Kurihara M, Ishiura H, Sasaki T, et al. Novel De Novo KCND3 Mutation in a Japanese Patient with Intellectual Disability, Cerebellar Ataxia, Myoclonus, and Dystonia. Cerebellum (London, England). 2018 Apr;17(2):237-42.
87. Duarri A, Lin MC, Fokkens MR, et al. Spinocerebellar ataxia type 19/22 mutations alter heterocomplex Kv4.3 channel function and gating in a dominant manner. Cellular and molecular life sciences : CMLS. 2015 Sep;72(17):3387-99.
88. Hsiao CT, Liu YT, Liao YC, Hsu TY, Lee YC, Soong BW. Mutational analysis of ITPR1 in a Taiwanese cohort with cerebellar ataxias. PloS one. 2017;12(11):e0187503.
89. Chothia C. Principles that determine the structure of proteins. Annual review of biochemistry. 1984;53:537-72.
90. Chapman ML, Krovetz HS, VanDongen AM. GYGD pore motifs in neighbouring potassium channel subunits interact to determine ion selectivity. The Journal of physiology. 2001 Jan 1;530(Pt 1):21-33.
91. Takimoto K, Yang EK, Conforti L. Palmitoylation of KChIP splicing variants is required for efficient cell surface expression of Kv4.3 channels. The Journal of biological chemistry. 2002 Jul 26;277(30):26904-11.
92. Jerng HH, Pfaffinger PJ. Modulatory mechanisms and multiple functions of somatodendritic A-type K (+) channel auxiliary subunits. Frontiers in cellular neuroscience. 2014;8:82.
93. Bahring R, Dannenberg J, Peters HC, Leicher T, Pongs O, Isbrandt D. Conserved Kv4 N-terminal domain critical for effects of Kv channel-interacting protein 2.2 on channel expression and gating. The Journal of biological chemistry. 2001 Jun 29;276(26):23888-94.
94. Anderson D, Mehaffey WH, Iftinca M, et al. Regulation of neuronal activity by Cav3-Kv4 channel signaling complexes. Nature neuroscience. 2010 Mar;13(3):333-7.
95. Shieh CC, Klemic KG, Kirsch GE. Role of transmembrane segment S5 on gating of voltage-dependent K+ channels. The Journal of general physiology. 1997 Jun;109(6):767-78.
96. Rizwan AP, Zhan X, Zamponi GW, Turner RW. Long-Term Potentiation at the Mossy Fiber-Granule Cell Relay Invokes Postsynaptic Second-Messenger Regulation of Kv4 Channels. The Journal of neuroscience : the official journal of the Society for Neuroscience. 2016 Nov 2;36(44):11196-207.
97. Molineux ML, Fernandez FR, Mehaffey WH, Turner RW. A-type and T-type currents interact to produce a novel spike latency-voltage relationship in cerebellar stellate cells. The Journal of neuroscience : the official journal of the Society for Neuroscience. 2005 Nov 23;25(47):10863-73.
98. Heath NC, Rizwan AP, Engbers JD, Anderson D, Zamponi GW, Turner RW. The expression pattern of a Cav3-Kv4 complex differentially regulates spike output in cerebellar granule cells. The Journal of neuroscience : the official journal of the Society for Neuroscience. 2014 Jun 25;34(26):8800-12.
99. Anderson D, Engbers JD, Heath NC, et al. The Cav3-Kv4 complex acts as a calcium sensor to maintain inhibitory charge transfer during extracellular calcium fluctuations. The Journal of neuroscience : the official journal of the Society for Neuroscience. 2013 May 1;33(18):7811-24.
100. Wulff H, Castle NA, Pardo LA. Voltage-gated potassium channels as therapeutic targets. Nature reviews Drug discovery. 2009 Dec;8(12):982-1001.
101. Alvina K, Khodakhah K. The therapeutic mode of action of 4-aminopyridine in cerebellar ataxia. The Journal of neuroscience : the official journal of the Society for Neuroscience. 2010 May 26;30(21):7258-68.
102. Hsiao CT, Fu SJ, Liu YT, et al. Novel SCA19/22-associated KCND3 mutations disrupt human K(V) 4.3 protein biosynthesis and channel gating. Human mutation. 2019 Nov;40(11):2088-107.
103. Ward RJ, Zucca FA, Duyn JH, Crichton RR, Zecca L. The role of iron in brain ageing and neurodegenerative disorders. The Lancet Neurology. 2014 Oct;13(10):1045-60.
104. Tao Y, Wang Y, Rogers JT, Wang F. Perturbed iron distribution in Alzheimer's disease serum, cerebrospinal fluid, and selected brain regions: a systematic review and meta-analysis. Journal of Alzheimer's disease : JAD. 2014;42(2):679-90.
105. Oakley AE, Collingwood JF, Dobson J, et al. Individual dopaminergic neurons show raised iron levels in Parkinson disease. Neurology. 2007 May 22;68(21):1820-5.
106. Bartzokis G, Tishler TA, Shin IS, Lu PH, Cummings JL. Brain ferritin iron as a risk factor for age at onset in neurodegenerative diseases. Annals of the New York Academy of Sciences. 2004 Mar;1012:224-36.
107. Wiethoff S, Houlden H. Neurodegeneration with brain iron accumulation. Handbook of clinical neurology. 2017;145:157-66.
108. Gregory A, Polster BJ, Hayflick SJ. Clinical and genetic delineation of neurodegeneration with brain iron accumulation. Journal of medical genetics. 2009 Feb;46(2):73-80.
109. Kruer MC, Boddaert N, Schneider SA, et al. Neuroimaging features of neurodegeneration with brain iron accumulation. AJNR American journal of neuroradiology. 2012 Mar;33(3):407-14.
110. Levi S, Tiranti V. Neurodegeneration with Brain Iron Accumulation Disorders: Valuable Models Aimed at Understanding the Pathogenesis of Iron Deposition. Pharmaceuticals (Basel, Switzerland). 2019 Feb 9;12(1).
111. Rentzsch P, Witten D, Cooper GM, Shendure J, Kircher M. CADD: predicting the deleteriousness of variants throughout the human genome. Nucleic acids research. 2019 Jan 8;47(D1):D886-d94.
112. Giudicessi JR, Ye D, Tester DJ, et al. Transient outward current (I(to)) gain-of-function mutations in the KCND3-encoded Kv4.3 potassium channel and Brugada syndrome. Heart rhythm. 2011 Jul;8(7):1024-32.
113. Minassian NA, Lin MC, Papazian DM. Altered Kv3.3 channel gating in early-onset spinocerebellar ataxia type 13. The Journal of physiology. 2012 Apr 1;590(7):1599-614.
114. Du X, Xu H, Shi L, et al. Activation of ATP-sensitive potassium channels enhances DMT1-mediated iron uptake in SK-N-SH cells in vitro. Scientific reports. 2016 Sep 20;6:33674.
115. Ugur B, Chen K, Bellen HJ. Drosophila tools and assays for the study of human diseases. Disease models mechanisms. 2016 Mar;9(3):235-44.
116. Diao F, Chaufty J, Waro G, Tsunoda S. SIDL interacts with the dendritic targeting motif of Shal (K(v)4) K+ channels in Drosophila. Molecular and cellular neurosciences. 2010 Sep;45(1):75-83.
117. Corty MM, Matthews BJ, Grueber WB. Molecules and mechanisms of dendrite development in Drosophila. Development (Cambridge, England). 2009 Apr;136(7):1049-61.
118. Grueber WB, Ye B, Yang CH, et al. Projections of Drosophila multidendritic neurons in the central nervous system: links with peripheral dendrite morphology. Development (Cambridge, England). 2007 Jan;134(1):55-64.
119. Frank CA, Wang X, Collins CA, et al. New approaches for studying synaptic development, function, and plasticity using Drosophila as a model system. The Journal of neuroscience : the official journal of the Society for Neuroscience. 2013 Nov 6;33(45):17560-8.
120. Sokolowski MB. Drosophila: genetics meets behaviour. Nature reviews Genetics. 2001 Nov;2(11):879-90.
121. Iyer J, Wang Q, Le T, et al. Quantitative Assessment of Eye Phenotypes for Functional Genetic Studies Using Drosophila melanogaster. G3 (Bethesda, Md). 2016 May 3;6(5):1427-37.
122. Vilinsky I, Johnson KG. Electroretinograms in Drosophila: a robust and genetically accessible electrophysiological system for the undergraduate laboratory. Journal of undergraduate neuroscience education : JUNE : a publication of FUN, Faculty for Undergraduate Neuroscience. 2012 Fall;11(1):A149-57.
123. Seidel K, Kusters B, den Dunnen WF, et al. First patho-anatomical investigation of the brain of a SCA19 patient. Neuropathology and applied neurobiology. 2014 Aug;40(5):640-4.
124. Ping Y, Waro G, Licursi A, Smith S, Vo-Ba DA, Tsunoda S. Shal/K(v)4 channels are required for maintaining excitability during repetitive firing and normal locomotion in Drosophila. PloS one. 2011 Jan 17;6(1):e16043.
125. Edamakanti CR, Do J, Didonna A, Martina M, Opal P. Mutant ataxin1 disrupts cerebellar development in spinocerebellar ataxia type 1. The Journal of clinical investigation. 2018 Jun 1;128(6):2252-65.
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/76939-
dc.description.abstract脊髓小腦性運動失調症是一群以影響小腦功能為主的遺傳性神經退化性疾病,其臨床表徵與致病基因具有高度多樣性,診斷此類疾病的要領在於了解病人之疾病史與家族病史,並由身體檢查評估病人是否具有小腦功能障礙,搭配其他特定的臨床病徵可作為診斷之線索,基因檢測是確定診斷的方式之一。多麩醯胺酸疾病是脊髓小腦性運動失調症中最常見的一群,這類疾病於臨床、病理、與疾病分子機制有許多相似之處。近年的研究發現已有將近五十種基因變異與脊髓小腦性運動失調症相關,使此疾病的病生理分子機制得以被更深入的了解。
神經細胞中表現著許多種類的離子通道蛋白,各式各樣的離子通道以及其相關的分子精確的分佈在神經細胞中特定的位置並執行其專責的功能。由於基因定序技術快速的發展,有越來越多的病人被發現是由於離子通道或相關分子功能變異所致。這些研究揭示由於離子通道蛋白功能變異所致的脊髓小腦性運動失調症在臨床表現與分子基因層面上都具有高度的歧異性,凸顯診斷這類疾病的困難性。然而,針對探討這類疾病的病生理機轉的研究仍然很有限。這些離子通道蛋白功能變異如何引起本身功能的改變,進而影響與其他分子交互作用的改變,並產生對神經細胞生理功能乃至於神經突觸功能恆定的影響,甚或產生增強或衰減整個神經網絡活性的變化,最終導致神經功能退化的過程,以及對病人臨床表徵的影響…等,這些問題都是神經科學與神經醫學研究中非常有趣的議題。
這份研究論文旨在探討本土脊髓小腦性運動失調症病人中是否存在由於離子通道蛋白變異所致的個案,進而分析其臨床表徵之特性並尋找是否有明確的基因型與表現型的關聯性。透過細胞電生理實驗、生物化學實驗、以及免疫螢光實驗,我們可以探討這些變異對離子通道功能的影響,進一步探索其與相關分子的交互作用以及對於神經生理恆定的影響。此外,我們期能建立與此疾病之病生理機轉相關聯的疾病模式動物,藉此研究更深入複雜的神經突觸或神經網絡之議題。
透過次世代基因定序,我們發現了離子通道蛋白變異所致之脊髓小腦性運動失調症的本土個案,這些病患在臨床表現上具有高度的變異性,除了小腦性運動失調症以外,這些病人有很高的比例具有認知功能障礙的特徵,然而其基因型與表現型並不具有明顯的關聯性。我們也深入的探索由於這些變異對離子通道蛋白功能產生的影響,並成功的建立與此疾病有高度關聯性的疾病模式果蠅。未來可望能透過更清楚了解這些疾病的病生理機轉與小腦及相關細胞生理調控機制,探索相關的分子作用並藉由調控目標分子的功能作為發展新治療的方針。
zh_TW
dc.description.abstractSpinocerebellar ataxia (SCA) is a group of hereditary neurodegenerative diseases with mainly affecting the function of the cerebellum and its network. The clinical features and the causes of SCA are highly diverse. In combination of understanding the clinical presentations and the family histories, a comprehensive physical examination to assess the cerebellar function and the other specific clinical features can provide insights to determine the diagnosis of SCA. The genetic testing is the gold standard to establish the definite diagnosis of SCA. The group of polyglutamine disorders comprises the most frequent causes of SCA and shares the clinical, pathological and molecular similarities. To date, there are approximate fifty disease-causing genes or chromosomal loci have been mapped to be associated with SCA. The identification of disease-causing mutations has also contributed to a deeper understanding for the molecular mechanism and pathophysiology of this group of diseases.
There are numerous subtypes of ion channel proteins expressing in the nervous systems. These ion channels and their related molecules are precisely distributed in the subcellular locations to be responsible for their special functions. Due to the recent advance in genetic sequencing technologies, there are more and more SCA subtypes linked to ion channel dysfunctions. Those studies have revealed that the clinical and molecular features of SCA subtypes associated with ion channel dysfunction are heterogeneous, which highlights the difficulty in diagnosing such diseases. However, studies focusing on exploring the pathogenesis of cerebellar ataxias associated with ion channel dysfunction are still sparse. Whether the sequence variants resulting in ion channel dysfunction or not is still unclear. There are still open questions that how do ion channel dysfunctions lead to alternation of molecular network, disruption of synaptic homeostasis, perturbation of neuronal activities, induction of neurodegenerative processes, and consequent clinical presentations. Numerous intriguing issues remained to be further elucidated in the neuroscience and clinical neurology fields.
In this study, we aim to investigate whether there are patients with SCA associated with ion channel gene mutations in Taiwanese population. We also intend to evaluate the molecular mechanism of these disorders by using multidisciplinary experiments. Utilizing the next-generation sequencing technologies, we found that there are cases of SCA caused by mutations in ion channel genes. The clinical presentations of this group of patients are variable. Cerebellar ataxia is exclusively manifested by the patients and a notable proportion of the patients are characterized by cognitive dysfunction as. However, there is not definite genotype-phenotype correlation for the patients. Besides functional characterizations for the ion channel mutations in vitro, and we have also developed a disease-relevant model using Drosophila melanogaster as the model organism. By means of in vivo exploring the molecular mechanism underlying these disorders we will able to conduct more in-depth investigation for the complex issues such as neural synapses homeostasis or neural network in regarding to the ion channel functions in the future.
en
dc.description.provenanceMade available in DSpace on 2021-07-10T21:41:03Z (GMT). No. of bitstreams: 1
U0001-0608202001382000.pdf: 21603667 bytes, checksum: a563590b25c104dc761451b714e8ce4a (MD5)
Previous issue date: 2020
en
dc.description.tableofcontents誌謝 i
摘要 iii
Abstract v
目錄 viii
Chapter 1 – Introduction of spinocerebellar ataxia 1
1.1 Background 1
1.2 Epidemiology of SCA 3
1.3 Clinical evaluation for patients with cerebellar ataxia 4
1.4 Clinical characteristics of specific SCA subtypes 6
1.4.1 SCA with polyglutamine tract 7
1.4.2 Ion channel gene mutations related SCA 9
1.5 Principles for the diagnosis of cerebellar ataxia 11
1.6 Differential diagnoses for patients with cerebellar ataxia 12
1.7 Pathogenesis of cerebellar ataxia 14
1.7.1 Polyglutamine related neurodegeneration in SCA 14
1.7.2 SCA results from non-coding region repeat expansion 15
1.7.3 SCA associated with mutations in ion channel genes 16
1.8 Prognosis and treatment for SCA 19
1.9 Aims of this study 20
1.10 Figure, figure legend and table 22
Figure 1-1 Terminologies and classifications for cerebellar ataxia. 22
Figure 1-2 Observation for the frequencies of cerebellar ataxia at Neurogenetic Laboratory, Taipei Veterans General Hospital. 23
Figure 1-3 MRI characteristics of specific SCA subtype. 24
Figure 1-4 Diagnostic flow chart for cerebellar ataxia. 25
Figure 1-5 MRI features of MSA. 27
Figure 1-6 Illustrative summary of ion channel-associated SCA subtypes. 28
Chapter 2 – Materials and Methods 29
2.1 Patients and ethics statement 29
2.2 Genetic analyses 30
2.3 In silico analyses of the pathogenicity of the sequence variants 33
2.4 Protein homology modeling 34
2.5 Expression plasmids 34
2.6 Electrophysiology 35
2.7 Cell culture and transfection 38
2.8 Immunoblotting 40
2.9 Cycloheximide chase assays 41
2.10 Biotinylation of cell surface proteins 41
2.11 Co-immunoprecipitation 42
2.12 Immunofluorescence 43
2.13 Fruit fly transgenic lines generating and stocks 44
2.14 Electroretinography 45
2.15 Assessment of eye phenotypes 47
2.16 Thin dissection of Drosophila eye to assay the morphological changes 48
2.17 Climbing assay for evaluation of locomotor function of adult fly 49
2.18 Morphological evaluation of multiple dendritic neuron of Drosophila larvae 50
2.19 Morphological evaluation of sensory and motor neurons of adult fruit fly 51
2.20 Immunoblotting of fly tissue 53
2.21 Western blot and co-immunoprecipitation of human KV4.3 proteins and Drosophila Shal protein in HEK293T cell 53
2.22 Statistical analyses 54
Figure 2-1 Flow chart outlining selection of the study cohort. 56
Table 2-1 Probes used in qPCR for detecting copy number variation. 57
Table 2-2 Drosophila melanogaster lines used in the experiments. 58
Chapter 3 – Calcium Dysregulation and Cerebellar Ataxia 59
3.1 Background 59
3.2 Results 63
3.2.1 Investigation of CACNA1A structural variants in patients with cerebellar ataxia 63
3.2.2 General information for the patients enrolled for ITPR1 deletion and targeted sequencing analyses 65
3.2.3 Genetic analyses for ITPR1 variants 66
3.2.4 Probing the pathogenicity of the ITPR1 sequence variant c.7721T>C through bioinformatics analyses 66
3.2.5 Clinical Characteristics of patients with the ITPR1 mutation 67
3.3 Discussion 69
3.4 Figure, figure legend and table 74
Figure 3-1 Neither segmental deletion nor duplication in CACNA1A was detected by MLPA. 74
Figure 3-2 Average estimated copy number of ITPR1 detected by each probes used in the copy number analysis with qPCR technique. 75
Figure 3-3 The pedigree and electropherogram of the patients carrying ITPR1 c.7721T>C mutation. 76
Figure 3-4 The structure of human IP3R1. 77
Figure 3-5 Brain MRI of the patients carrying an ITPR1 mutation. 78
Figure 3-6 The crystallographic structure of IP3R1. 79
Table 3-1 Demographic features of subjects enrolled for CACNA1A MLPA analyses. 80
Table 3-2 Demographics of the patient enrolled for targeted sequence. 81
Table 3-3 Bioinformatics analyses of ITPR1 missense variants. 82
Table 3-4 The clinical characteristics of the cases reported in this paper. 83
Table 3-5 The molecular and clinical characteristics of ITPR1-associated autosomal dominant cerebellar ataxias in the literature. 84
Chapter 4 – SCA19/22-associated KCND3 Mutations Disrupt the Proteostasis and Channel Gating of Human KV4.3 89
4.1 Background 89
4.2 Results 90
4.2.1 Clinical investigation of patients with novel disease-associated KCND3 mutations 90
4.2.2 Molecular localization of disease-associated KV4.3 mutations 93
4.2.3 Dominant-negative effects of disease-associated mutations on human KV4.3 channel function 95
4.2.4 Dominant-negative effects of disease-associated mutations on human KV4.3 proteostasis 98
4.3 Discussion 101
4.3.1 Phenotypic heterogeneity in SCA19/22 101
4.3.2 Dominant-negative mechanisms of SCA19/22 103
4.4 Figure, figure legend and table 108
Figure 4-1 Clinical characterization of novel disease-associated KCND3 mutations. 108
Figure 4-2 Molecular characterization of SCA19/22-associated KV4.3 mutations. 110
Figure 4-3 Loss-of-function phenotypes of disease-associated KV4.3 mutants. 112
Figure 4-4 Alteration of KV4.3 voltage-dependent gating by disease-associated mutants. 114
Figure 4-5 Enhanced protein degradation of disease-associated KV4.3 mutants. 116
Figure 4-6 KChIP2 co-expression fails to rescue defective proteostasis of KV4.3 mutants. 119
Figure 4-7 Subcellular localization of KV4.3 proteins. 121
Figure 4-8 Disease-associated mutants disrupt proteostasis of KV4.3 WT. 124
Table 4-1 Clinical features and bioinformatics analyses of the patients with novel KCND3 mutations. 126
Table 4-2 Clinical overview of the SCA19/22-associated KV4.3 mutations V338E and T377M. 128
Table 4-3 Voltage-dependent gating properties of KV4.3 WT and mutant channels. 129
Table 4-4 Window current parameters of KV4.3 channels. 130
Table 4-5 ACMG classification of KCND3 mutations in this study. 131
Chapter 5 - Gain-of-function KCND3 mutation associated with cerebellar ataxia and brain iron accumulation 133
5.1 Background 133
5.2 Results 134
5.2.1 Case presentation and bioinformatics analyses 134
5.2.2 Lack of effect on KV4.3 proteostasis of the R419H mutation 138
5.2.3 Gain-of-function change on KV4.3 channel gating 138
5.3 Discussion 139
5.4 Figure, figure legend, and table 144
Figure 5-1 Neuroimages and electrocardiography of the patient with KCND3 c.1256G>A (p.R419H) variant. 144
Figure 5-2 Molecular characterization of cerebellar ataxia relevant KCND3 variants. 145
Figure 5-3 No significant alternation of expression level and subcellular distribution of mutant R419H protein. 147
Figure 5-4 Alternation of electrophysiological properties for mutant R419H KV4.3. 149
Figure 5-5 Topographic representation summarizing the cerebellar ataxia-associated KV4.3 variants. 151
Table 5-1 Informative summary regarding the sequence variant and the results of multiple bioinformatics tool analyses. 152
Table 5-2 Steady-state voltage-dependent gating properties and window current analyses of WT and mutant R419H KV4.3 channels. 153
Chapter 6 – SCA19/22-associated Human KV4.3 Mutations Cause Progressive Neurodegeneration and Locomotion Deficit in Drosophila melanogaster 155
6.1 Background 155
6.2 Results 158
6.2.1 Expression of SCA19/22-associated KV4.3 mutants in the fruit fly eyes caused progressive neurodegeneration 158
6.2.2 Disease-related human KV4.3 mutants induced neuronal loss in the Drosophila ommatidia 160
6.2.3 Disease-related human KV4.3 mutants cause locomotor deficit of adult fruit flies 161
6.2.4 Expression of disease-associated KV4.3 mutants in the motor neurons lead to axonal degeneration of adult flies 163
6.2.5 KV4.3 mutants disrupted the dendritic development in class IV multiple dendritic neuron of the larvae 163
6.2.6 Dominant-negative effect of human KV4.3 mutants on Shal proteostasis may play roles in pathogenesis of SCA19/22 relevant Drosophila model 164
6.3 Discussion 166
6.4 Figure, figure legend and table 173
Figure 6-1 Morphological characterization of Drosophila eyes expressing the human KV4.3 proteins. 173
Figure 6-2 Electroretinography of Drosophila eyes expressing the human KV4.3 proteins. 174
Figure 6-3 Age-related degeneration of neuronal activities in Drosophila eyes expressing the mutant human KV4.3 proteins. 176
Figure 6-4 Alternation of the ommatidia arrangement and rhabdomere number in Drosophila eyes expressing the disease-related KV4.3 mutations. 178
Figure 6-5 Neuronal expression of disease-associated mutations caused locomotor impairment of Drosophila. 179
Figure 6-6 Expression of disease-related mutations in glutamatergic neuron leaded to motor impairment in aged Drosophila. 181
Figure 6-7 The disease-related mutations leaded to axonal degeneration of adult Drosophila. 182
Figure 6-8 Aberrant dendritic morphogenesis caused by the disease-related mutations. 183
Figure 6-9 The disease-associated human KV4.3 mutants exerted dominant-negative effect on Drosophila Shal protein. 185
Chapter 7 – Conclusion and Future Prospects 187
7.1 Clinical heterogenicity of cerebellar ataxias associated with ion channel dysfunction 187
7.2 Molecular networks play important roles in pathophysiology of cerebellar ataxia 188
7.3 Perturbation of Shal/KV4 cause disruption of fundamental neuronal activity 189
7.4 Future prospects 190
7.5 Figure and figure legend 192
Figure 7-1 Illustrative presentation of Shal/KV4-associated synaptic homeostasis 192
Figure 7-2 Graphic presentation of the morphological characterization and the hypothetical mechanism of the disease-associated Drosophila 194
References 195
dc.language.isoen
dc.subject神經退化zh_TW
dc.subject小腦性運動失調症zh_TW
dc.subject離子通道功能變異zh_TW
dc.subjectcerebellar ataxiaen
dc.subjectneurodegenerationen
dc.subjectchannelopathyen
dc.title離子通道功能異常導致小腦性運動失調症之分子機制zh_TW
dc.titleMolecular Mechanism of Cerebellar Ataxias Associated with Ion Channel Dysfunctionen
dc.typeThesis
dc.date.schoolyear108-2
dc.description.degree博士
dc.contributor.oralexamcommittee詹智強(Chih-Chiang Chan),郭鐘金(Chung-Chin Kuo),鄭瓊娟(Chung-Jiuan Jeng),李宜中(Yi-Chung Lee),廖翊筑(Yi-Chu Liao)
dc.subject.keyword小腦性運動失調症,離子通道功能變異,神經退化,zh_TW
dc.subject.keywordcerebellar ataxia,channelopathy,neurodegeneration,en
dc.relation.page204
dc.identifier.doi10.6342/NTU202002505
dc.rights.note未授權
dc.date.accepted2020-08-07
dc.contributor.author-college醫學院zh_TW
dc.contributor.author-dept生理學研究所zh_TW
顯示於系所單位:生理學科所

文件中的檔案:
檔案 大小格式 
U0001-0608202001382000.pdf
  未授權公開取用
21.1 MBAdobe PDF
顯示文件簡單紀錄


系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。

社群連結
聯絡資訊
10617臺北市大安區羅斯福路四段1號
No.1 Sec.4, Roosevelt Rd., Taipei, Taiwan, R.O.C. 106
Tel: (02)33662353
Email: ntuetds@ntu.edu.tw
意見箱
相關連結
館藏目錄
國內圖書館整合查詢 MetaCat
臺大學術典藏 NTU Scholars
臺大圖書館數位典藏館
本站聲明
© NTU Library All Rights Reserved