Multikinase Inhibitors Induce Cutaneous Toxicity Through OAT6-Mediated Uptake and MAP3K7-Driven Cell Death Eric I

Total Page:16

File Type:pdf, Size:1020Kb

Multikinase Inhibitors Induce Cutaneous Toxicity Through OAT6-Mediated Uptake and MAP3K7-Driven Cell Death Eric I Published OnlineFirst December 17, 2015; DOI: 10.1158/0008-5472.CAN-15-0694 Cancer Therapeutics, Targets, and Chemical Biology Research Multikinase Inhibitors Induce Cutaneous Toxicity through OAT6-Mediated Uptake and MAP3K7-Driven Cell Death Eric I. Zimmerman1, Alice A. Gibson2, Shuiying Hu2, Aksana Vasilyeva1, Shelley J. Orwick2, Guoqing Du1, Gerard P. Mascara1, Su Sien Ong3, Taosheng Chen3, Peter Vogel4, Hiroto Inaba5, Michael L. Maitland6, Alex Sparreboom2, and Sharyn D. Baker2 Abstract The use of multikinase inhibitors (MKI) in oncology, such as (OAT6) as an uptake carrier of sorafenib. Further investigations sorafenib, is associated with a cutaneous adverse event called into the intracellular mechanism of sorafenib activity through hand–foot skin reaction (HFSR), in which sites of pressure or in situ kinome profiling identified the mitogen-activated pro- friction become inflamed and painful, thus significantly tein kinase MAP3K7 (TAK1) as a target of sorafenib that induces impacting quality of life. The pathogenesis of MKI-induced cell death. Finally, we demonstrate that sorafenib induced HFSR is unknown, and the only available treatment options keratinocyte injury in vivo and that this effect could be reversed involve dose reduction or discontinuation of therapy, which by cotreatment with the OAT6 inhibitor probenecid. Collec- have negative effects on primary disease management. To tively, our findings reveal a novel pathway that regulates the investigate the underlying mechanisms by which sorafenib entry of some MKIs into keratinocytes and explains the basis promotes keratinocyte cytotoxicity and subsequent HFSR underlying sorafenib-induced skin toxicity, with important induction, we performed a transporter-directed RNAi screen implications for the therapeutic management of HFSR. Cancer in human epidermal keratinocytes and identified SLC22A20 Res; 76(1); 117–26. Ó2015 AACR. Introduction myriad of mechanisms, leading ultimately to lack of efficacy. Moreover, although kinase inhibitors offer possibly a number of In oncology, the last two decades have seen a dramatic tran- important theoretical advantages over conventional cytotoxic sition from the use of traditional cytotoxic chemotherapy to the chemotherapy, they are still afflicted by some of the same pro- emergence of a new paradigm in rational drug design coupled blems, including an extensive interindividual pharmacokinetic with an uprising in the development of targeted agents, including variability, the existence of a rather narrow therapeutic window, the kinase inhibitors. To date, more than 20 different kinase and the occurrence of multiple, debilitating adverse events (1). inhibitors have received approval by the FDA for the treatment Cutaneous adverse effects are among the most frequently of a variety of diseases that were previously essentially resistant to observed toxicities with many kinase inhibitors, and their inten- standard chemotherapy, and many more can be expected to sity can significantly affect both quality of life and health care become available in the future (1). However, despite the success economics (2). A particularly painful complication seen most of these agents in specific disease settings, many kinase inhibitors frequently during the early weeks of use with multikinase inhi- face significant challenges due to their susceptibility to de novo bitors (MKI), such as sorafenib, sunitinib, and pazopanib, is resistance and/or the occurrence of acquired resistance through a called hand–foot skin reaction (HFSR), in which hyperkeratotic 1 plaques develop predominantly over sites of pressure or friction Department of Pharmaceutical Sciences, St. Jude Children's Research fi fl Hospital, Memphis, Tennessee. 2Division of Pharmaceutics, College of (3, 4). These plaques may have signi cant in ammation and Pharmacy & Comprehensive Cancer Center,The Ohio State University, xerotic hyperkeratosis, often in a bilateral symmetric distribution, Columbus, Ohio. 3Department of Chemical Biology and Therapeutics, causing pain and debilitation that interfere with activities of daily St. Jude Children's Research Hospital, Memphis, Tennessee. 4Depart- ment of Pathology, St. Jude Children's Research Hospital, Memphis, living (2). Sequential biopsy specimens have revealed progressive Tennessee. 5Department of Oncology, St. Jude Children's Research accumulation of hyperkeratosis with focal parakeratosis. The Hospital, Memphis, Tennessee. 6Section of Hematology/Oncology, clinical incidence of HFSR varies among MKIs with a particularly Department of Medicine, The University of Chicago, Chicago, Illinois. high incidence being observed with sorafenib (Supplementary Note: Supplementary data for this article are available at Cancer Research Table S1; ref. 4), and does not appear to be related to increased Online (http://cancerres.aacrjournals.org/). excretion of MKIs through sweat (5). The pathogenesis of MKI- Corresponding Author: Sharyn D. Baker, Division of Pharmaceutics, College of induced HFSR remains currently unknown, and the only demon- Pharmacy & Comprehensive Cancer Center, The Ohio State University, 500 W. strably effective treatment options involve dose reduction or 12th St., Columbus, OH 43210. Phone: 614-685-6014, Fax: 614-688-4028; E-mail: discontinuation of therapy, which have negative effects on disease [email protected] management (6, 7). Here, we provide evidence that sorafenib can doi: 10.1158/0008-5472.CAN-15-0694 extensively accumulate into human epidermal keratinocytes Ó2015 American Association for Cancer Research. mediated by the organic anion transporter SLC22A20 (OAT6) www.aacrjournals.org 117 Downloaded from cancerres.aacrjournals.org on September 25, 2021. © 2016 American Association for Cancer Research. Published OnlineFirst December 17, 2015; DOI: 10.1158/0008-5472.CAN-15-0694 Zimmerman et al. A Sorafenib Lot 932013 Imatinib Lot 932013 B C 6,000 Sorafenib Lot 1443683 Imatinib Lot 1443683 Sorafenib (μmol/L) Imatinib (μmol/L) Lot 932013 125 0 0.5 1.0 2.55.0 10.0 0.5 1.02.5 5.0 10.0 Lot 1443683 PARP 4,000 100 Cleaved PARP 75 Pro- 2,000 50 caspase 3 (% control) Cell viability Drug uptake (pmol/mg) 25 Cleaved 0 caspase 3 ib 0 nib 0.01 0.1 1 10 Sunitin Imatinib Nilotinib Sorafe Pazopanib Dasatinib Sorafenib uptake (% control) D EFInhibited SLC 150 0 50 100 families Vehicle None 100 125 Niflumic acid SLC6A Furosemide * SLC12A, SLC22A ** Probenecid 75 100 * SLC22A 5-OH-L-Tryptophan SLC22A, SLC36A L-Arginine * SLC38A *** 50 75 Hemicholinium-3 * SLC22A, SLC44A (% control) Vehicle None Sorafenib uptakeSorafenib 50 25 Sorafenib uptake Sorafenib Hemicholinium-3 *** SLC22A, SLC44A (% control siRNA) Homovanillic acid SLC22A 25 *** 0 Transporters Probenecid *** SLC22A Lot: 932013 1443683 Figure 1. OAT6 mediates sorafenib uptake in HEKa. A, HEKa from two individual lots were treated with sorafenib or imatinib for 72 hours and cell viability was measured in a MTT assay (2–3 experiments, n ¼ 12–18). B, cleaved PARP and caspase-3 were assessed by Western blot analysis after 24 hours. C, intracellular accumulation of kinase inhibitors (1 mmol/L, 5 min) in HEKa (two experiments, n ¼ 6). D, intracellular accumulation of sorafenib (1 mmol/L, 15 min) in HEKa 48 hours after siRNA (25 nmol/L) transfection (n ¼ 7). Red line indicates 75% uptake and red data points indicate 75% uptake compared with control conditions. E, effect of transporter inhibitors (0.2–1.0 mmol/L; blue bars) and OAT inhibitors (100 mmol/L; red bars) on intracellular accumulation of sorafenib (1 mmol/L, 15 minutes) in HEKa (blue bars; n ¼ 2–6). F, intracellular accumulation of sorafenib (1 mmol/L, 15 minutes) in HEKa 48 hours after transfection with OAT6-targeted siRNA (25 nmol/L; 2–3 experiments, n ¼ 6–9; control siRNA, filled bars; OAT6 siRNA, unfilled bars). Mean gene expression (relative to control siRNA 48-hour posttransfection) was 45 Æ 1% and 39 Æ 3%. Data represent the mean Æ SEM (Ã, P < 0.05; ÃÃ, P < 0.01; ÃÃÃ, P < 0.001). and we identified the mitogen-activated protein kinase MAP3K7 primer and probe pairs for SLC22A6, SLC22A7, SLC22A8, (TAK1) as a novel target of sorafenib causing keratinocyte cell SLC22A9, SLC22A10, SLC22A11, SLC22A20, and GAPDH were death. Finally, we demonstrate that sorafenib induces injury to purchased from Life Technologies. GeneChip human genome keratinocytes in vivo, and that this effect can be reversed by U133 Plus 2.0 microarrays were purchased from Affymetrix. cotreatment with the OAT6 inhibitor probenecid. Cell culture and viability assays Materials and Methods Human primary keratinocytes [HEKa; Life Technologies, Lot 932013 and Lot 1443683] were cultured on collagen-coated flasks Chemicals and reagents in EpiLife medium (Life Technologies) according to the product Hemicholinum-3, homovanillic acid, and probenecid were instructions. Mouse primary epithelial keratinocytes were pur- 3 purchased from Sigma-Aldrich. [ H]Ddasatinib [specific chased from CellNTec and propagated using CNT-PR medium activity (SA) ¼ 10.2 Ci/mmol; radiochemical purity 99.7%], according to the product instructions. Cells were maintained at 3 ¼ [ H]imatinib (SA 1.7 Ci/mmol; radiochemical purity 37 C in humidified air containing 5% CO2. Cell viability was 3 99.9%), [ H]nilotinib (SA ¼ 3.9 Ci/mmol; radiochemical purity measured using either MTT reagent (Life Technologies) or Cell- 3 99.7%), [ H]pazopanib (SA ¼ 1.0 Ci/mmol; radiochemical purity Titer-Glo (Promega) according to the manufacturer's instructions 3 99.1%), [ H]sorafenib (SA ¼ 2.2 Ci/mmol; radiochemical purity on a Biotek mQuant microplate spectrophotometer.
Recommended publications
  • A Computational Approach for Defining a Signature of Β-Cell Golgi Stress in Diabetes Mellitus
    Page 1 of 781 Diabetes A Computational Approach for Defining a Signature of β-Cell Golgi Stress in Diabetes Mellitus Robert N. Bone1,6,7, Olufunmilola Oyebamiji2, Sayali Talware2, Sharmila Selvaraj2, Preethi Krishnan3,6, Farooq Syed1,6,7, Huanmei Wu2, Carmella Evans-Molina 1,3,4,5,6,7,8* Departments of 1Pediatrics, 3Medicine, 4Anatomy, Cell Biology & Physiology, 5Biochemistry & Molecular Biology, the 6Center for Diabetes & Metabolic Diseases, and the 7Herman B. Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN 46202; 2Department of BioHealth Informatics, Indiana University-Purdue University Indianapolis, Indianapolis, IN, 46202; 8Roudebush VA Medical Center, Indianapolis, IN 46202. *Corresponding Author(s): Carmella Evans-Molina, MD, PhD ([email protected]) Indiana University School of Medicine, 635 Barnhill Drive, MS 2031A, Indianapolis, IN 46202, Telephone: (317) 274-4145, Fax (317) 274-4107 Running Title: Golgi Stress Response in Diabetes Word Count: 4358 Number of Figures: 6 Keywords: Golgi apparatus stress, Islets, β cell, Type 1 diabetes, Type 2 diabetes 1 Diabetes Publish Ahead of Print, published online August 20, 2020 Diabetes Page 2 of 781 ABSTRACT The Golgi apparatus (GA) is an important site of insulin processing and granule maturation, but whether GA organelle dysfunction and GA stress are present in the diabetic β-cell has not been tested. We utilized an informatics-based approach to develop a transcriptional signature of β-cell GA stress using existing RNA sequencing and microarray datasets generated using human islets from donors with diabetes and islets where type 1(T1D) and type 2 diabetes (T2D) had been modeled ex vivo. To narrow our results to GA-specific genes, we applied a filter set of 1,030 genes accepted as GA associated.
    [Show full text]
  • And Mir183 in Mir183/96 Dko Mutant Mice (Top) And
    Supplementary Information Appendix Figure S1. Expression of Mir96 , Mir182 and Mir183 in Mir183/96 dko mutant mice (top) and Mir182 ko mutant mice (bottom), relative to Mir99a , which is expressed in cochlear sensory epithelium. Homozygote (red; right bars) and heterozygote (blue; middle bars) expression levels have been normalised to expression in the wildtype (green; left bars). Mir183/96 dko : wildtype n=7, heterozygote n=5, homozygote n=6. Mir182 ko : wildtype n=4, heterozygote n=4, homozygote n=4. Error bars are standard deviation (* = P < 0.05, ** = P < 0.01). All p-values were calculated using the Wilcoxon rank sum test. For Mir183/96 dko heterozygotes, Mir96 p=0.002525; Mir182 p=0.6389; Mir183 p=0.002525. For Mir183/96 dko homozygotes, Mir96 p=0.002067; Mir182 p=0.1014; Mir183 p=0.002067. For Mir182 ko heterozygotes, Mir96 p=0.05714; Mir182 p=0.3429; Mir183 p=0.3429. For Mir182 ko homozygotes, Mir96 p=1; Mir182 p=0.02652; Mir183 p=0.05714. 67 68 Appendix Figure S2. Individual ABR thresholds of wildtype, heterozygous and homozygous Mir183/96 dko mice at all ages tested. Number of mice of each genotype tested at each age is shown on the threshold plot. 69 70 Appendix Figure S3. Individual ABR thresholds of wildtype, heterozygous and homozygous Mir182 ko mice at all ages tested. Number of mice of each genotype tested at each age is shown on the threshold plot. 71 Appendix Figure S4. Mean ABR waveforms at 12kHz, shown at 20dB (top) and 50dB (bottom) above threshold (sensation level, SL) ± standard deviation, at four weeks old.
    [Show full text]
  • Genomic Dissection of 43 Serum Urate-Associated Loci Provides
    bioRxiv preprint doi: https://doi.org/10.1101/743864; this version posted August 22, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. 1 Genomic dissection of 43 serum urate-associated loci provides 2 multiple insights into molecular mechanisms of urate control. 3 4 James Boocock1,2¶, Megan Leask1¶, Yukinori Okada3,4, Asian Genetic Epidemiology 5 Network (AGEN) Consortium, Hirotaka Matsuo5, Yusuke Kawamura5, Yongyong 6 Shi6, Changgui Li7, David B Mount8,9, Asim K Mandal8, Weiqing Wang10, Murray 7 Cadzow1, Anna L Gosling1, Tanya J Major1, Julia A Horsfield11, Hyon K Choi12, 8 Tayaza Fadason13, Justin O’Sullivan13, Eli A Stahl10&, Tony R Merriman1*& 9 10 1 Department of Biochemistry, Biomedical Sciences, University of Otago, Dunedin, 11 New Zealand 12 2 Department of Human Genetics, David Geffen School of Medicine at UCLA, Los 13 Angeles, CA, USA 14 3 Department of Statistical Genetics, Osaka University Graduate School of Medicine, 15 Osaka, Japan 16 4 Laboratory of Statistical Immunology, Immunology Frontier Research Center (WPI- 17 IFReC), Osaka University, Suita, Japan 18 5 Department of Integrative Physiology and Bio-Nano Medicine, National Defense 19 Medical College, Tokorozawa, Saitama, Japan 20 6 Bio-X Institutes, Key Laboratory for the Genetics of Developmental and 21 Neuropsychiaric Disorders (Ministry of Education), Shanghai Jiao Tong University, 22 Shanghai, People's Republic of China 23 7 The Department of Endocrinology
    [Show full text]
  • The Genetic Landscape of the Human Solute Carrier (SLC) Transporter Superfamily
    Human Genetics (2019) 138:1359–1377 https://doi.org/10.1007/s00439-019-02081-x ORIGINAL INVESTIGATION The genetic landscape of the human solute carrier (SLC) transporter superfamily Lena Schaller1 · Volker M. Lauschke1 Received: 4 August 2019 / Accepted: 26 October 2019 / Published online: 2 November 2019 © The Author(s) 2019 Abstract The human solute carrier (SLC) superfamily of transporters is comprised of over 400 membrane-bound proteins, and plays essential roles in a multitude of physiological and pharmacological processes. In addition, perturbation of SLC transporter function underlies numerous human diseases, which renders SLC transporters attractive drug targets. Common genetic polymorphisms in SLC genes have been associated with inter-individual diferences in drug efcacy and toxicity. However, despite their tremendous clinical relevance, epidemiological data of these variants are mostly derived from heterogeneous cohorts of small sample size and the genetic SLC landscape beyond these common variants has not been comprehensively assessed. In this study, we analyzed Next-Generation Sequencing data from 141,456 individuals from seven major human populations to evaluate genetic variability, its functional consequences, and ethnogeographic patterns across the entire SLC superfamily of transporters. Importantly, of the 204,287 exonic single-nucleotide variants (SNVs) which we identifed, 99.8% were present in less than 1% of analyzed alleles. Comprehensive computational analyses using 13 partially orthogonal algorithms that predict the functional impact of genetic variations based on sequence information, evolutionary conserva- tion, structural considerations, and functional genomics data revealed that each individual genome harbors 29.7 variants with putative functional efects, of which rare variants account for 18%. Inter-ethnic variability was found to be extensive, and 83% of deleterious SLC variants were only identifed in a single population.
    [Show full text]
  • Analysis of OAT, OCT, OCTN, and Other Family Members Reveals 8
    bioRxiv preprint doi: https://doi.org/10.1101/2019.12.23.887299; this version posted December 26, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. Reclassification of SLC22 Transporters: Analysis of OAT, OCT, OCTN, and other Family Members Reveals 8 Functional Subgroups Darcy Engelhart1, Jeffry C. Granados2, Da Shi3, Milton Saier Jr.4, Michael Baker6, Ruben Abagyan3, Sanjay K. Nigam5,6 1Department of Biology, University of California San Diego, La Jolla 92093 2Department of Bioengineering, University of California San Diego, La Jolla 92093 3School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla 92093 4Department of Molecular Biology, Division of Biological Sciences, University of California at San Diego, San Diego, CA, USA 5Department of Pediatrics, University of California San Diego, La Jolla 92093 6Department of Medicine, University of California San Diego, La Jolla 92093 *To whom correspondence should be addressed: [email protected] Running title: Functional subgroups for SLC22 1 bioRxiv preprint doi: https://doi.org/10.1101/2019.12.23.887299; this version posted December 26, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. Abstract Among transporters, the SLC22 family is emerging as a central hub of endogenous physiology.
    [Show full text]
  • Disease-Induced Modulation of Drug Transporters at the Blood–Brain Barrier Level
    International Journal of Molecular Sciences Review Disease-Induced Modulation of Drug Transporters at the Blood–Brain Barrier Level Sweilem B. Al Rihani 1 , Lucy I. Darakjian 1, Malavika Deodhar 1 , Pamela Dow 1 , Jacques Turgeon 1,2 and Veronique Michaud 1,2,* 1 Tabula Rasa HealthCare, Precision Pharmacotherapy Research and Development Institute, Orlando, FL 32827, USA; [email protected] (S.B.A.R.); [email protected] (L.I.D.); [email protected] (M.D.); [email protected] (P.D.); [email protected] (J.T.) 2 Faculty of Pharmacy, Université de Montréal, Montreal, QC H3C 3J7, Canada * Correspondence: [email protected]; Tel.: +1-856-938-8697 Abstract: The blood–brain barrier (BBB) is a highly selective and restrictive semipermeable network of cells and blood vessel constituents. All components of the neurovascular unit give to the BBB its crucial and protective function, i.e., to regulate homeostasis in the central nervous system (CNS) by removing substances from the endothelial compartment and supplying the brain with nutrients and other endogenous compounds. Many transporters have been identified that play a role in maintaining BBB integrity and homeostasis. As such, the restrictive nature of the BBB provides an obstacle for drug delivery to the CNS. Nevertheless, according to their physicochemical or pharmacological properties, drugs may reach the CNS by passive diffusion or be subjected to putative influx and/or efflux through BBB membrane transporters, allowing or limiting their distribution to the CNS. Drug transporters functionally expressed on various compartments of the BBB involve numerous proteins from either the ATP-binding cassette (ABC) or the solute carrier (SLC) superfamilies.
    [Show full text]
  • Nephritis Responses in Murine and Human Lupus Analysis Defines
    Downloaded from http://www.jimmunol.org/ by guest on October 2, 2021 is online at: average * The Journal of Immunology , 24 of which you can access for free at: 2012; 189:988-1001; Prepublished online 20 June from submission to initial decision 4 weeks from acceptance to publication Celine C. Berthier, Ramalingam Bethunaickan, Tania Gonzalez-Rivera, Viji Nair, Meera Ramanujam, Weijia Zhang, Erwin P. Bottinger, Stephan Segerer, Maja Lindenmeyer, Clemens D. Cohen, Anne Davidson and Matthias Kretzler 2012; doi: 10.4049/jimmunol.1103031 http://www.jimmunol.org/content/189/2/988 Cross-Species Transcriptional Network Analysis Defines Shared Inflammatory Responses in Murine and Human Lupus Nephritis J Immunol cites 60 articles Submit online. Every submission reviewed by practicing scientists ? is published twice each month by http://jimmunol.org/subscription Submit copyright permission requests at: http://www.aai.org/About/Publications/JI/copyright.html Receive free email-alerts when new articles cite this article. Sign up at: http://jimmunol.org/alerts http://www.jimmunol.org/content/189/2/988.full#ref-list-1 http://www.jimmunol.org/content/suppl/2012/06/20/jimmunol.110303 1.DC1 This article Information about subscribing to The JI No Triage! Fast Publication! Rapid Reviews! 30 days* Why • • • Material References Permissions Email Alerts Subscription Supplementary The Journal of Immunology The American Association of Immunologists, Inc., 1451 Rockville Pike, Suite 650, Rockville, MD 20852 Copyright © 2012 by The American Association of Immunologists, Inc. All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. This information is current as of October 2, 2021. The Journal of Immunology Cross-Species Transcriptional Network Analysis Defines Shared Inflammatory Responses in Murine and Human Lupus Nephritis Celine C.
    [Show full text]
  • The Genetics of Bipolar Disorder
    Molecular Psychiatry (2008) 13, 742–771 & 2008 Nature Publishing Group All rights reserved 1359-4184/08 $30.00 www.nature.com/mp FEATURE REVIEW The genetics of bipolar disorder: genome ‘hot regions,’ genes, new potential candidates and future directions A Serretti and L Mandelli Institute of Psychiatry, University of Bologna, Bologna, Italy Bipolar disorder (BP) is a complex disorder caused by a number of liability genes interacting with the environment. In recent years, a large number of linkage and association studies have been conducted producing an extremely large number of findings often not replicated or partially replicated. Further, results from linkage and association studies are not always easily comparable. Unfortunately, at present a comprehensive coverage of available evidence is still lacking. In the present paper, we summarized results obtained from both linkage and association studies in BP. Further, we indicated new potential interesting genes, located in genome ‘hot regions’ for BP and being expressed in the brain. We reviewed published studies on the subject till December 2007. We precisely localized regions where positive linkage has been found, by the NCBI Map viewer (http://www.ncbi.nlm.nih.gov/mapview/); further, we identified genes located in interesting areas and expressed in the brain, by the Entrez gene, Unigene databases (http://www.ncbi.nlm.nih.gov/entrez/) and Human Protein Reference Database (http://www.hprd.org); these genes could be of interest in future investigations. The review of association studies gave interesting results, as a number of genes seem to be definitively involved in BP, such as SLC6A4, TPH2, DRD4, SLC6A3, DAOA, DTNBP1, NRG1, DISC1 and BDNF.
    [Show full text]
  • SLC12A6 Gene Solute Carrier Family 12 Member 6
    SLC12A6 gene solute carrier family 12 member 6 Normal Function The SLC12A6 gene provides instructions for making a protein called a K-Cl cotransporter. This protein is involved in moving charged atoms (ions) of potassium (K) and chlorine (Cl) across the cell membrane. The positively charged potassium ions and negatively charged chlorine ions are moved together (cotransported), so that the charges inside and outside the cell membrane are unchanged (electroneutral). Electroneutral cotransport of ions across cell membranes is involved in many functions of the body. While the specific function of the K-Cl cotransporter produced from the SLC12A6 gene is unknown, it seems to be critical for the development and maintenance of nerve tissue. It may be involved in regulating the amounts of potassium, chlorine, or water in cells and intercellular spaces. The K-Cl cotransporter protein may also help regulate the activity of other proteins that are sensitive to ion concentrations. Health Conditions Related to Genetic Changes Andermann syndrome At least six SLC12A6 gene mutations have been identified in people with Andermann syndrome. Almost all affected individuals of French-Canadian descent have the same mutation in both copies of the SLC12A6 gene, in which the DNA building block ( nucleotide) guanine is deleted at position 2436 (written as 2436delG). This mutation is common in the populations of the Saguenay-Lac-St.-Jean and Charlevoix regions of northeastern Quebec. Most SLC12A6 gene mutations that cause Andermann syndrome result in a K-Cl cotransporter protein that is shortened and nonfunctional. The lack of functional protein produced from the SLC12A6 gene is believed to interfere with the development of the corpus callosum and maintenance of the nerves that transmit signals needed for movement and sensation, resulting in the signs and symptoms of Andermann syndrome.
    [Show full text]
  • Supplementary Table 1
    Supplementary Table 1. 492 genes are unique to 0 h post-heat timepoint. The name, p-value, fold change, location and family of each gene are indicated. Genes were filtered for an absolute value log2 ration 1.5 and a significance value of p ≤ 0.05. Symbol p-value Log Gene Name Location Family Ratio ABCA13 1.87E-02 3.292 ATP-binding cassette, sub-family unknown transporter A (ABC1), member 13 ABCB1 1.93E-02 −1.819 ATP-binding cassette, sub-family Plasma transporter B (MDR/TAP), member 1 Membrane ABCC3 2.83E-02 2.016 ATP-binding cassette, sub-family Plasma transporter C (CFTR/MRP), member 3 Membrane ABHD6 7.79E-03 −2.717 abhydrolase domain containing 6 Cytoplasm enzyme ACAT1 4.10E-02 3.009 acetyl-CoA acetyltransferase 1 Cytoplasm enzyme ACBD4 2.66E-03 1.722 acyl-CoA binding domain unknown other containing 4 ACSL5 1.86E-02 −2.876 acyl-CoA synthetase long-chain Cytoplasm enzyme family member 5 ADAM23 3.33E-02 −3.008 ADAM metallopeptidase domain Plasma peptidase 23 Membrane ADAM29 5.58E-03 3.463 ADAM metallopeptidase domain Plasma peptidase 29 Membrane ADAMTS17 2.67E-04 3.051 ADAM metallopeptidase with Extracellular other thrombospondin type 1 motif, 17 Space ADCYAP1R1 1.20E-02 1.848 adenylate cyclase activating Plasma G-protein polypeptide 1 (pituitary) receptor Membrane coupled type I receptor ADH6 (includes 4.02E-02 −1.845 alcohol dehydrogenase 6 (class Cytoplasm enzyme EG:130) V) AHSA2 1.54E-04 −1.6 AHA1, activator of heat shock unknown other 90kDa protein ATPase homolog 2 (yeast) AK5 3.32E-02 1.658 adenylate kinase 5 Cytoplasm kinase AK7
    [Show full text]
  • Genetic Background of Ataxia in Children Younger Than 5 Years in Finland E444
    Volume 6, Number 4, August 2020 Neurology.org/NG A peer-reviewed clinical and translational neurology open access journal ARTICLE Genetic background of ataxia in children younger than 5 years in Finland e444 ARTICLE Cerebral arteriopathy associated with heterozygous variants in the casitas B-lineage lymphoma gene e448 ARTICLE Somatic SLC35A2 mosaicism correlates with clinical fi ndings in epilepsy brain tissuee460 ARTICLE Synonymous variants associated with Alzheimer disease in multiplex families e450 Academy Officers Neurology® is a registered trademark of the American Academy of Neurology (registration valid in the United States). James C. Stevens, MD, FAAN, President Neurology® Genetics (eISSN 2376-7839) is an open access journal published Orly Avitzur, MD, MBA, FAAN, President Elect online for the American Academy of Neurology, 201 Chicago Avenue, Ann H. Tilton, MD, FAAN, Vice President Minneapolis, MN 55415, by Wolters Kluwer Health, Inc. at 14700 Citicorp Drive, Bldg. 3, Hagerstown, MD 21742. Business offices are located at Two Carlayne E. Jackson, MD, FAAN, Secretary Commerce Square, 2001 Market Street, Philadelphia, PA 19103. Production offices are located at 351 West Camden Street, Baltimore, MD 21201-2436. Janis M. Miyasaki, MD, MEd, FRCPC, FAAN, Treasurer © 2020 American Academy of Neurology. Ralph L. Sacco, MD, MS, FAAN, Past President Neurology® Genetics is an official journal of the American Academy of Neurology. Journal website: Neurology.org/ng, AAN website: AAN.com CEO, American Academy of Neurology Copyright and Permission Information: Please go to the journal website (www.neurology.org/ng) and click the Permissions tab for the relevant Mary E. Post, MBA, CAE article. Alternatively, send an email to [email protected].
    [Show full text]
  • Supporting Information
    Supporting Information Table S1. List of confirmed SLC transporters represented in Canine GeneChip. SLC family Members detected Members not detected SLC1: The high affinity glutamate and neutral amino acid SLC1A1 SLC1A2, SLC1A3, SLC1A6 transporter family SLC2: The facilitative GLUT transporter family SLC2A1, SLC2A8 SLC2A3, SLC2A9 SLC3: The heavy subunits of the heteromeric amino acid SLC3A1 transporters SLC4: The bicarbonate transporter family SLC4A11 SLC4A4, SLC4A8 SLC5: The sodium glucose cotransporter family SLC5A6 SLC5A3, SLC5A10, SLC5A12 SLC6: The sodium- and chloride- dependent SLC6A6, SLC6A12 SLCA18 neurotransmitter transporter family SLC7: The cationic amino acid transporter/glycoprotein- NR associated family SLC8: The Na+/Ca2+ exchanger family SLC8A1 SLC9: The Na+/H+ exchanger family SLC9A1, SLC9A6, SLC9A9 SLC10: The sodium bile salt cotransport family SLC10A2 SLC11: The proton coupled metal ion transporter family NR SLC12: The electroneutral cation-Cl cotransporter family SLC12A3, SLC12A6, SLC12A8 SLC13: The human Na+-sulfate/carboxylate cotransporter SLC13A2 family SLC14: The urea transporter family NR SLC15: The proton oligopeptide cotransporter family SLC15A2, SLC15A4 SLC15A1 SLC16: The monocarboxylate transporter family SLC16A13 SLC16A4 SLC17: The vesicular glutamate transporter family SLC17A3, SLC17A7 SLC18: The vesicular amine transporter family NR SLC19: The folate/thiamine transporter family NR SLC20: The type III Na+-phosphate cotransporter family NR SLC21/SLCO: The organic anion transporting family SLC21A3, SLC21A8,
    [Show full text]