• Title/Summary/Keyword: SCA1

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Distribution of five common subtypes of spinocerebellar ataxia in the Korean population

  • Choi, In-Hee;Kim, Gu-Hwan;Lee, Beom-Hee;Choi, Jin-Ho;Yoo, Han-Wook
    • Journal of Genetic Medicine
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    • v.11 no.2
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    • pp.69-73
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    • 2014
  • Purpose: Spinocerebellar ataxia (SCA) is a genetically heterogeneous disease for which more than 30 subtypes have been identified. However, 5 subtypes, SCA1, SCA2, SCA3, SCA6, and SCA7, account for more than 60% of cases. In this study, we report the distribution of these 5 subtypes in Korean patients. Materials and Methods: Six hundred and thirty-eight unrelated patients with a presumptive diagnosis of SCA were included in this study. Trinucleotide (CAG) repeat number (TNR) repeat number was determined using fluorescently labeled primers and fragment analysis. Results: A total of 128 unrelated patients (20.1% of all individuals tested) tested positive for SCA subtypes, including SCA1 (5 patients, 3.9% of those testing positive), SCA2 (38 patients, 29.7%), SCA3 (30 patients, 23.4%), SCA6 (39 patients, 30.5%), and SCA7 (16 patients, 12.5%). The mean copy number of pathogenic TNR alleles was $45{\pm}8.5$ for SCA1, $42{\pm}3.1$ for SCA2, $72{\pm}5.4$ for SCA3, $23{\pm}1.5$ for SCA6, and $50{\pm}11.4$ for SCA7. TNR copy number was inversely correlated with onset age in SCA2, SCA6, and SCA7. Conclusion: SCA2, SCA3, and SCA6 are common SCA subtypes in Korean patients and could be screened as a first-line test. Expanded pathogenic allele size was associated with early onset age.

Analysis of trinucleotide repetitive sequences for Korean patients with spinocerebellar ataxia types 8, 12, and 17

  • Kim, Gu-Hwan;Chung, Sun Ju;Ryu, Ho-Sung;Kim, Jaemin;Lee, Jin-Joo;Choi, Seoung Hoon;Lee, Juyeon;Lee, Beom Hee;Choi, Jin-Ho;Yoo, Han-Wook
    • Journal of Genetic Medicine
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    • v.12 no.1
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    • pp.38-43
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    • 2015
  • Purpose: Spinocerebellar ataxias (SCAs) are progressive neurodegenerative disorders with diverse modes of inheritance. There are several subtypes of SCAs. SCA 8, SCA 12, and SCA 17 are the less common forms of SCAs with limited information available on their epidemiological profiles in Korea. The purpose of this study was to investigate the prevalence of SCA8, SCA12, and SCA17 in Korea. Materials and Methods: Ninety-six unrelated Korean patients were enrolled and showed normal trinucleotide repeats through polymerase-chain reaction (PCR) for the genes ATXN1, ATXN2, ATXN3, CACNA1A, and ATXN7, which correspond to SCA1, SCA2, SCA3, SCA6, and SCA7, respectively. PCR products from patients were further analyzed by capillary electrophoresis using fluorescence labeled primers for the genes ATXN8OS, PPP2R2B, and TBP, which correspond to SCA8, SCA12, and SCA17. Results: Three patients had 104, 97, and 75 abnormal expanded repeats in the ATXN8OS gene, the causative gene for SCA8. None of the patients exhibited abnormal repeats in SCA12 and SCA17. Normal trinucleotide repeat ranges of the cohort in this study were estimated to be 17-34 copies (average, $24{\pm}4copies$) for SCA8, 7-18 copies (average, $13{\pm}3copies$) for SCA12, and 26-43 copies (average, $35{\pm}2copies$) for SCA17. Conclusion: This study demonstrated that SCA8, SCA12, and SCA17 are rare in Korean patients with SCA, and further genetic studies are warranted to enhance the mutation detection rate in the Korean SCA population.

Pure Cerebellar Ataxia Presenting in the SCA 1 (순수 소뇌실조증의 임상 양상으로 SCA 1의 과도한 CAG 반복서열을 보인 유전성 소뇌실조증 가족 1례)

  • Song, Eun-Hyang;Lee, Chung-Seok;Kim, Woo-Jung;Kim, Doo-Eung
    • Annals of Clinical Neurophysiology
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    • v.3 no.2
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    • pp.151-155
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    • 2001
  • SCA 1 is an autosomal dominant disorder. The phenotypic manifestations of SCA 1 are not specific, and thus, the diagnosis of SCA 1 rests on molecular genetic testing. The number of CAG repeats ranges from 6-44 in normal alleles and from 39-81 repeats in disease-causing alleles(chromosomal locus 6p22-23). The main clinical features of SCA 1 are ataxia, dysarthria, ophthalmoparesis, extrapyramidal signs without retinal degeneration. A 24-year-old woman with suspected family history presented with progressive cerebellar ataxia, dysarthria, ptosis, titubation and general weakness. Brain MRI revealed a moderate cerebellar atrophy. A genomic polymerase chain reaction(PCR) analysis showed 66 repeats at the SCA 1 locus.

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Spinocerebellar ataxia 7 (SCA7) (척수소뇌성 운동실조증 제7형)

  • Seon-Yong, Jeong;Seok-Hun, Jang;Hyon-J., Kim
    • Journal of Genetic Medicine
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    • v.4 no.1
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    • pp.22-37
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    • 2007
  • The autosomal dominant spinocerebellar ataxias (SCAs) are a group of neurodegenerative diseases, clinically and genetically heterogeneous, characterized by degeneration of spinocerebellar pathways with variable involvement of other neural systems. At present, 27 distinct genetic forms of SCAs are known: SCA1-8, SCA10-21, SCA23, SCA25-28, DRPLA (dentatorubral-pallidoluysian atrophy), and 16q-liked ADCA (autosomal dominant cerebellar ataxia). Epidemiological data about the prevalence of SCAs are restricted to a few studies of isolated geographical regions, and most do not reflect the real occurrence of the disease. In general a prevalence of about 0.3-2 cases per 100,000 people is assumed. As SCA are highly heterogeneous, the prevalence of specific subtypes varies between different ethnic and continental populations. Most recent data suggest that SCA3 is the commonest subtype worldwide; SCA1, SCA2, SCA6, SCA7, and SCA8 have a prevalence of over 2%, and the remaining SCAs are thought to be rare (prevalence <1%). In this review, we highlight and discuss the SCA7. The hallmark of SCA7 is the association of hereditary ataxia and visual loss caused by pigmentary macular degeneration. Visual failure is progressive, bilateral and symmetrical, and leads irreversibly to blindness. This association represents a distinct disease entity classified as autosomal dominant cerebellar ataxia (ADCA) type II by Harding. The disease affectsprimarily the cerebellum and the retina by the moderate to severe neuronal loss and gliosis, but also many other central nervous system structures as the disease progresses. SCA7 is caused by expansion of an unstable trinucleotide CAG repeat in the ATXN7 gene encoding a polyglutamine (polyQ) tract in the corresponding protein, ataxin-7. Normal ATXN7 alleles contain 4-35 CAG repeats, whereas pathological alleles contain from 36->450 CAG repeats. Immunoblott analysis demonstrated that ataxin-7 is widely expressed but that expression levels vary among tissues. Instability of expanded repeats is more pronounced in SCA7 than in other SCA subtypes and can cause substantial lowering of age at onset in successive generations termed ‘anticipation’ so that children may become diseased even before their parents develop symptoms. The strong anticipation in SCA7 and the rarity of contractions should have led to its extinction within a few generations. There is no specific drug therapy for this neurodegenerative disorder. Currently, therapy remains purely symptomatic. Cellular models and SCA7 transgenic mice have been generated which constitute valuable resources for studying the disease mechanism. Understanding the pathogenetic mechanisms of neurodegeneration in SCAs should lead to the identification of potential therapeutic targets and ultimately facilitate drug discovery. Here we summarize the clinical, pathological, and genetic aspects of SCA7, and review the current understanding of the pathogenesis of this disorder. Further, we also review the potential therapeutic strategies that are currently being explored in polyglutamine diseases.

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Designing SCA-Based Component Framework for Dynamic Deployment of SDR Components (SDR 컴포넌트의 동적 배치를 위한 SCA 기반 컴포넌트 프레임워크의 설계)

  • 김세화;홍성수;장래혁
    • Journal of KIISE:Computing Practices and Letters
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    • v.9 no.3
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    • pp.241-253
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    • 2003
  • SCA (Software Communication Architecture), which has been adopted as a SDR(Software Defined Radio) Forum standard, provides a framework that successfully exploits common design patterns of embedded systems software. However, the SCA is inadequate as a component framework since it does not explicitly specify (1) a component model that defines how to express a component interface and how to implement it, (2) a package model that defines what and how to package in deployment units, and (3) a deployment model that defines the deployment environment and deployment process. In this paper, we propose a SCA-based component framework for SDR. Specifically, we present (1) a component model that defines a component as a specialized CORBA object that implements object management functionality, (2) a package model exploiting the existing XML descriptors of the SCA, and (3) a deployment model that defines a SCA-based deployment environment, a boot-up process that restores the deployment state, and a deployment process that supports lazy application instantiation and dynamic component replacement.

Molecular Pathogenesis of Spinocerebellar Ataxia Type 1 Disease

  • Kang, Seongman;Hong, Sunghoi
    • Molecules and Cells
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    • v.27 no.6
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    • pp.621-627
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    • 2009
  • Spinocerebellar ataxia type 1 (SCA1) is an autosomal-dominant neurodegenerative disorder characterized by ataxia and progressive motor deterioration. SCA1 is associated with an elongated polyglutamine tract in ataxin-1, the SCA1 gene product. As summarized in this review, recent studies have clarified the molecular mechanisms of SCA1 pathogenesis and provided direction for future therapeutic approaches. The nucleus is the subcellular site where misfolded mutant ataxin-1 acts to cause SCA1 disease in the cerebellum. The role of these nuclear aggregates is the subject of intensive study. Additional proteins have been identified, whose conformational alterations occurring through interactions with the polyglutamine tract itself or non-polyglutamine regions in ataxin-1 are the cause of SCA-1 cytotoxicity. Therapeutic hope comes from the observations concerning the reduction of nuclear aggregation and alleviation of the pathogenic phenotype by the application of potent inhibitors and RNA interference.

Isolation and Characterization of a Calmodulin-binding Ca2+-ATPase 2 (SCA2) in Soybean (칼모듈린에 결합하는 대두 Ca2+-ATPase 2 (SCA2)의 분리 및 특성 분석)

  • Park, Hyeong-Cheol;Kim, Ho-Soo;Lee, Sang-Min;Cho, Hyeon-Seol;Chung, Woo-Sik
    • Journal of Life Science
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    • v.21 no.5
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    • pp.671-677
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    • 2011
  • We previously reported the isolation and characterization of a gene, SCA1 (for soybean $Ca^{2+}$-ATPase 1), encoding a calmodulin-regulated $Ca^{2+}$-ATPase that is located in the plasma membrane in soybean. Here, a $Ca^{2+}$-ATPase designated as SCA2 was isolated from soybean. The two $Ca^{2+}$-ATPases, SCA1 and SCA2, share a remarkably high degree of similarity (78%). Ten transmemebrane domains were predicted by hydropathy analysis. Using gel overlay assays, CaM was found to bind to SCA2 in a $Ca^{2+}$-dependent manner. Southern blot analysis revealed the presence of two copies of the $Ca^{2+}$-ATPase gene in the soybean genome. An N-terminal truncation mutant that deletes sequence through the putative calmodulin binding site was able to complement a yeast mutant (K616) that was deficient in two endogenous $Ca^{2+}$ pumps. Our results indicate that SCA2 is structurally highly conserved with type IIB $Ca^{2+}$ pumps in plants.

In vivo Functional Analysis of γ-butyrolactone Autoregulator Receptor Gene (scaR) in Streptomyces clavuligerus (Streptomyces clavuligerus의 γ-butyrolactone autoregulator receptor 유전자에 대한 in vivo 기능 분석)

  • Kang Su-Jin;Lee Chang-Kwon;Choi Sun-Uk;Kim Hyun-Soo;Hwang Yong-Il
    • Journal of Life Science
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    • v.16 no.1
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    • pp.76-81
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    • 2006
  • A $\gamma-butyrolactone$ autoregulator receptor has a common activity as DNA-binding transcriptional repressors controlling secondary metabolism and/or morphological differentiation in Streptomyces. A gene (scaR) encoding it was cloned from Streptomyces cravuligerus, a clavulanic acid producer, and was in vitro characterized in a previous report. In this study to clarify the in vivo function of ScaR, a $\gamma-butyrolactone$ autoregulator receptor of Streptomyces clavuligerus, we constructed a scaR-deleted strain by means of homologous recombination. No difference in morphology was found between the wild-type strain and the scaR-disruptant, but the scaR-disruptant showed higher clavulanic acid production. This indicates that the ScaR in S. clavuligerus acts as a negative regulator of the biosynthesis of clavulanic acid, but plays no role in morphological differentiation.

Improve the Performance of Semi-Supervised Side-channel Analysis Using HWFilter Method

  • Hong Zhang;Lang Li;Di Li
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.18 no.3
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    • pp.738-754
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    • 2024
  • Side-channel analysis (SCA) is a cryptanalytic technique that exploits physical leakages, such as power consumption or electromagnetic emanations, from cryptographic devices to extract secret keys used in cryptographic algorithms. Recent studies have shown that training SCA models with semi-supervised learning can effectively overcome the problem of few labeled power traces. However, the process of training SCA models using semi-supervised learning generates many pseudo-labels. The performance of the SCA model can be reduced by some of these pseudo-labels. To solve this issue, we propose the HWFilter method to improve semi-supervised SCA. This method uses a Hamming Weight Pseudo-label Filter (HWPF) to filter the pseudo-labels generated by the semi-supervised SCA model, which enhances the model's performance. Furthermore, we introduce a normal distribution method for constructing the HWPF. In the normal distribution method, the Hamming weights (HWs) of power traces can be obtained from the normal distribution of power points. These HWs are filtered and combined into a HWPF. The HWFilter was tested using the ASCADv1 database and the AES_HD dataset. The experimental results demonstrate that the HWFilter method can significantly enhance the performance of semi-supervised SCA models. In the ASCADv1 database, the model with HWFilter requires only 33 power traces to recover the key. In the AES_HD dataset, the model with HWFilter outperforms the current best semi-supervised SCA model by 12%.

Assessment of a Low Power Offset BPSK Component for Spreading Code Authentication

  • Maier, Daniel S.;Pany, Thomas
    • Journal of Positioning, Navigation, and Timing
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    • v.9 no.2
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    • pp.43-50
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    • 2020
  • In this paper a low power Spreading Code Authentication (SCA) sequence with a BPSK(1) modulation at a frequency offset of +7.161 MHz is tested for authentication purposes, the Galileo E1OS is used as base signal. The tested signals comprise a Galileo constellation with 5 satellites including the Galileo OS Navigation Message Authentication (OSNMA) and a low power offset BPSK (OBPSK(7,1)) as SCA component. The signals are generated with the software based MuSNAT-Signal-Generator. The generated signals were transmitted Over-The-Air (OTA) using a Software-Defined-Radio (SDR) as pseudolite. With a real-environment-testbed the performance of the SCA in real channel conditions (fading and multipath) was tested. A new SCA evaluation scheme is proposed and was implemented. Under real channel conditions we derive experimental threshold values for the new SCA evaluation scheme which allow a robust authentication. A Security Code Estimation and Replay (SCER) spoofing attack was mimicked on the real-environment-testbed and analyzed with the SCA evaluation scheme. It was shown that the usage of an OBPSK is feasible as an authentication method and can be used in combination with the OSNMA to improve the authentication robustness against Security SCER attacks.