👤 Duygu Selcen

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articles
Kinji Ohno, Bisei Ohkawara, Xin-Ming Shen +2 more · 2023 · International journal of molecular sciences · MDPI · added 2026-04-24
Congenital myasthenic syndromes (CMS) are a heterogeneous group of disorders characterized by impaired neuromuscular signal transmission due to germline pathogenic variants in genes expressed at the n Show more
Congenital myasthenic syndromes (CMS) are a heterogeneous group of disorders characterized by impaired neuromuscular signal transmission due to germline pathogenic variants in genes expressed at the neuromuscular junction (NMJ). A total of 35 genes have been reported in CMS ( Show less
no PDF DOI: 10.3390/ijms24043730
RAPSN
Justin C Kao, Margherita Milone, Duygu Selcen +3 more · 2018 · Neurology · added 2026-04-24
To investigate the diagnostic challenges of congenital myasthenic syndromes (CMS) in adult neuromuscular practice. We searched the Mayo Clinic database for patients with CMS diagnosed in adulthood in Show more
To investigate the diagnostic challenges of congenital myasthenic syndromes (CMS) in adult neuromuscular practice. We searched the Mayo Clinic database for patients with CMS diagnosed in adulthood in the neuromuscular clinic between 2000 and 2016. Clinical, laboratory, and electrodiagnostic data were reviewed. We identified 34 patients with CMS, 30 of whom had a molecular diagnosis (14 Misdiagnosis occurred in 94% of the adult patients with CMS and causes a median diagnostic delay of nearly 3 decades from symptom onset. Seronegative myasthenia gravis and muscle diseases were the 2 most common misdiagnoses, which led to treatment delay and unnecessary exposure to immunotherapy, thymectomy, or muscle biopsy. Show less
no PDF DOI: 10.1212/WNL.0000000000006478
RAPSN
Akihide Shibata, Tatsuya Okuno, Mohammad Alinoor Rahman +6 more · 2016 · Journal of human genetics · Nature · added 2026-04-24
Precise spatiotemporal regulation of splicing is mediated by splicing cis-elements on pre-mRNA. Single-nucleotide variations (SNVs) affecting intronic cis-elements possibly compromise splicing, but no Show more
Precise spatiotemporal regulation of splicing is mediated by splicing cis-elements on pre-mRNA. Single-nucleotide variations (SNVs) affecting intronic cis-elements possibly compromise splicing, but no efficient tool has been available to identify them. Following an effect-size analysis of each intronic nucleotide on annotated alternative splicing, we extracted 105 parameters that could affect the strength of the splicing signals. However, we could not generate reliable support vector regression models to predict the percent-splice-in (PSI) scores for normal human tissues. Next, we generated support vector machine (SVM) models using 110 parameters to directly differentiate pathogenic SNVs in the Human Gene Mutation Database and normal SNVs in the dbSNP database, and we obtained models with a sensitivity of 0.800±0.041 (mean and s.d.) and a specificity of 0.849±0.021. Our IntSplice models were more discriminating than SVM models that we generated with Shapiro-Senapathy score and MaxEntScan::score3ss. We applied IntSplice to a naturally occurring and nine artificial intronic mutations in RAPSN causing congenital myasthenic syndrome. IntSplice correctly predicted the splicing consequences for nine of the ten mutants. We created a web service program, IntSplice (http://www.med.nagoya-u.ac.jp/neurogenetics/IntSplice) to predict splicing-affecting SNVs at intronic positions from -50 to -3. Show less
no PDF DOI: 10.1038/jhg.2016.23
RAPSN