A Missense Mutation in KCTD17 Causes Autosomal Dominant Myoclonus-Dystonia  Niccolo E. Mencacci, Ignacio Rubio-Agusti, Anselm Zdebik, Friedrich Asmus,

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A Missense Mutation in KCTD17 Causes Autosomal Dominant Myoclonus-Dystonia  Niccolo E. Mencacci, Ignacio Rubio-Agusti, Anselm Zdebik, Friedrich Asmus, Marthe H.R. Ludtmann, Mina Ryten, Vincent Plagnol, Ann- Kathrin Hauser, Sara Bandres-Ciga, Conceição Bettencourt, Paola Forabosco, Deborah Hughes, Marc M.P. Soutar, Kathryn Peall, Huw R. Morris, Daniah Trabzuni, Mehmet Tekman, Horia C. Stanescu, Robert Kleta, Miryam Carecchio, Giovanna Zorzi, Nardo Nardocci, Barbara Garavaglia, Ebba Lohmann, Anne Weissbach, Christine Klein, John Hardy, Alan M. Pittman, Thomas Foltynie, Andrey Y. Abramov, Thomas Gasser, Kailash P. Bhatia, Nicholas W. Wood  The American Journal of Human Genetics  Volume 96, Issue 6, Pages 938-947 (June 2015) DOI: 10.1016/j.ajhg.2015.04.008 Copyright © 2015 The Authors Terms and Conditions

Figure 1 Family Trees, Linkage Analysis, and KCTD17 Mutation Analysis (A and B) Pedigree of the British (A) and German (B) families with the KCTD17 c.434 G>A p.(Arg145His) mutation. Open symbols indicate unaffected family members, and solid black symbols indicate affected members. Individuals marked with an asterisk were clinically examined. The following abbreviations are used: WT, homozygous wild-type alleles; and M, heterozygous mutation carrier. (C) LOD score plot for genome-wide linkage analysis in the British index pedigree showing a single linkage peak on chromosome 22q13 with a maximum LOD score of 2.4. An autosomal dominant model was specified with an estimated allele frequency of 0.00001 and 90% penetrance. (D) Sanger sequencing confirmation of the KCTD17 c.434G>A p.(Arg145His) mutation. (E) Multiple-sequence alignment showing complete conservation of protein sequence across species and human paralogs (KCTD2 and KCTD5) in the region of exon 4 of KCTD17, in which the disease-segregating mutation p.(Arg145His) was found. The American Journal of Human Genetics 2015 96, 938-947DOI: (10.1016/j.ajhg.2015.04.008) Copyright © 2015 The Authors Terms and Conditions

Figure 2 Summary of Brain Regional mRNA Expression Data (A) Box plot of mRNA expression levels for KCTD17 in ten adult brain regions, based on exon array experiments and plotted on a log2 scale (y axis). This dataset was generated using Affymetrix Exon 1.0 ST Arrays and brain and CNS tissue originating from 134 control individuals, collected by the Medical Research Council (MRC) Sudden Death Brain and Tissue Bank, and the Sun Health Research Institute (SHRI), an affiliate of Sun Health Corporation, USA.27 The plot shows significant variation in KCTD17 transcript expression across the ten CNS regions analyzed: putamen (PUTM), frontal cortex (FCTX), temporal cortex (TCTX), hippocampus (HIPP), substantia nigra (SNIG), medulla (specifically inferior olivary nucleus, MEDU), intralobular white matter (WHMT), thalamus (THAL), and cerebellar cortex (CRBL). “N” indicates the number of brain samples analyzed to generate the results for each CNS region. KCT17 expression is higher in the putamen, followed by the thalamus. Whiskers extend from the box to 1.53 the interquartile range. (B) Graph to show mRNA expression levels for KCTD17 in 6 brain regions during the course of human brain development, based on exon array experiments and plotted on a log2 scale (y axis).28,29 The brain regions analyzed are the striatum (STR), amygdala (AMY), neocortex (NCX), hippocampus (HIP), mediodorsal nucleus of the thalamus (MD), and cerebellar cortex (CBC). This shows increasing expression of KCTD17 mRNA during human brain development, particularly in the striatum and thalamus, from the early midfetal period to adolescence. The American Journal of Human Genetics 2015 96, 938-947DOI: (10.1016/j.ajhg.2015.04.008) Copyright © 2015 The Authors Terms and Conditions

Figure 3 Network Representation of the Putamen KCTD17-Containing Gene Module Array expression profiling of 788 brain samples obtained from 101 neuropathologically healthy individuals was performed and used for weighted gene co-expression network analysis (WGCNA). The WGCNA network was constructed for each brain region using a scale-free topology, as previously described.47 A dissimilarity matrix based on topological overlap measure was used to identify gene modules (i.e., densely interconnected and co-expressed genes) through a dynamic tree-cutting algorithm. Shown are all genes in the putamen KCTD17-containing module connected with a topological overlap measure exceeding 0.03. The dystonia genes in the module (KCDT17 and HPCA) and all the direct connections of KCTD17, based on topological overlap values, are highlighted in red. Larger circles represent the most interconnected genes in the module, including KCTD17. The American Journal of Human Genetics 2015 96, 938-947DOI: (10.1016/j.ajhg.2015.04.008) Copyright © 2015 The Authors Terms and Conditions

Figure 4 Functional Studies Showing Abnormalities of Endoplasmic Reticulum Calcium Signaling in KCTD17 p.(Arg145His) Substitution Bearing Fibroblasts After obtaining informed consent, fibroblasts were isolated from a skin biopsy taken from a subject with the KCTD17 p.(Arg145His) substitution (index family, III-2). Two unrelated age- and passage-matched controls (ctrl 1 and 2) were selected from in-house cell lines. The fibroblasts were cultured in Dulbecco’s modified Eagle’s medium supplemented with GlutaMAX, 10% heat-inactivated fetal bovine serum, and 1% penicillin-streptomycin. Cytosolic calcium ([Ca2+]c) was measured with Fura-2, AM. Fibroblasts were loaded at room temperature for 30 min with 5M Fura-2 AM and 0.005% Pluronic in HBSS. Fluorescence measurements were obtained on an epifluorescence inverted microscope equipped with a 20× fluorite objective. [Ca2+]c was monitored in single cells using excitation light provided by a Xenon arc lamp, with the beam passing monochromator centered at 340 and 380 nm (Cairn Research). Emitted fluorescence light was reflected through a 515 nm long-pass filter to a cooled CCD camera (Retiga, QImaging). All experiments were carried out in triplicate. Data are represented as the mean ± SEM “n” indicates the total number of cells analyzed. The asterisks indicate p < 0.05 (∗), p < 0.01 (∗∗) and p < 0.001 (∗∗∗). (A) Typical trace of [Ca2+]c in control and KCTD17 mutant fibroblasts in response to the application of 50 mM ATP. (B) Histograms showing a significantly decreased [Ca2+]c response upon ATP stimulation in mutation-bearing fibroblasts (n = 56) versus controls (control 1 n = 41; control 2 n = 35), as measured by changes in Fura-2 fluorescence intensity. (C) Typical trace of [Ca2+]c in control and KCTD17 mutant fibroblasts in response to the application of thapsigargin (1 μM), and subsequent Ca2+ challenge (2 mM). (D) Histograms demonstrating a significant reduction in ER calcium pool in response to thapsigargin in mutation-bearing fibroblasts (n = 53) versus controls (control 1 n = 51; control 2 n = 65), as measured by changes in Fura-2 fluorescence intensity. The American Journal of Human Genetics 2015 96, 938-947DOI: (10.1016/j.ajhg.2015.04.008) Copyright © 2015 The Authors Terms and Conditions