SUPPLEMENTARY APPENDIX Whole Exome Sequencing Identifies Mutational Signatures of Vitreoretinal Lymphoma

Total Page:16

File Type:pdf, Size:1020Kb

SUPPLEMENTARY APPENDIX Whole Exome Sequencing Identifies Mutational Signatures of Vitreoretinal Lymphoma SUPPLEMENTARY APPENDIX Whole exome sequencing identifies mutational signatures of vitreoretinal lymphoma Junwon Lee, 1* Borahm Kim, 2* Hyeonah Lee, 3 Heejung Park, 4 Suk Ho Byeon, 1 Jong Rak Choi, 2 Sung Chul Lee, 1 Seung-Tae Lee 2 and Christopher Seungkyu Lee 1 *JL and BK contributed equally as co-first authors 1Department of Ophthalmology, Severance Hospital, Institute of Vision Research, Yonsei University College of Medicine; 2Department of Laboratory Medi - cine, Yonsei University College of Medicine; 3Brain Korea 21 PLUS Project for Medical Science, Yonsei University and 4Department of pathology, Yonsei Uni - versity College of medicine, Seoul, South Korea Correspondence: CHRISTOPHER SEUNGKYU LEE - [email protected] SEUNG-TAE LEE - [email protected] doi:10.3324/haematol.2019.233783 Supplemental Data Supplemental Methods Supplemental Table 1 Supplemental Figure 1-5 Supplementary Methods Whole exome sequencing (WES) Genomic DNA was extracted using a QIAamp DNA Blood Mini Kit (Qiagen). The sequencing libraries for Exome‐sequencing were prepared using the Twist Human Core Exome Kit (Twist Bioscience). Paired‐end 100 bp read sequencing was performed on a NovaSeq system (Illumina). The paired‐end reads were mapped to the human genome (NCBI build 37) using BWA (version 0.7.12).1 The alignment was further refined by the functions of local realignment, base quality recalibration and indel realignment provided by GATK software 3.8-0. In order to identify single nucleotide variations (SNVs) and indels, we used HaplotypeCaller and Mutect2 from the GATK package (3.8-0), and VarScan2 (2.4.0). The results of these three algorithms were compared and merged.2-4 An R package, ExomeDepth (version 1.1.10), was used to detect exon- or gene-level copy number variation (CNV) in the target regions,5 followed by visualization using a base-level read depth normalization algorithm implemented in the DxSeq Analyzer (Dxome). In order to identify candidate somatic mutations from a large variant pool, we employed the following exclusion criteria: 1) variants identified in matched germline samples; 2) variants with population frequency >0.0001 using frequency data from the Exome Aggregation Consortium (ExAC, http://exac.broadinstitute.org/) and the Korean reference genome database (KRGDB, http://152.99.75.168/KRGDB/menuPages/firstInfo.jsp); 3) variants presumed to be artifacts generated either by the high throughput sequencing platform or due to errors in alignment. All of the filtered variants were further examined by visual verification using the Integrative Genomic Viewer 6. Meta-analysis of previous primary CNS lymphoma whole exome sequencing cohorts The frequency of mutated genes in our VRL cohort was compared to results from the meta- analysis of four PCNSL cohorts.7-10 Ophthalmologic evaluation All patients underwent a comprehensive ophthalmic examination at baseline and during each follow-up visit. These examinations included evaluation of best-corrected visual acuity (BCVA), slit- lamp biomicroscopy, ophthalmoscopy, and Optomap ultra-widefield imaging (Optos PLC, Dunfermline, Fife, Scotland, UK). Diagnostic vitrectomy and cytology All patients underwent diagnostic vitrectomy. Extreme caution was exercised when applying the vitreous sampling technique and during the subsequent processes to prevent cell degeneration or necrosis. A 23 or 25 gauge (G) three-port pars plana vitrectomy was gently performed (for vitreous sampling) with a cutting rate of 500-1,000 cuts/minute in order to minimize cell damage. The undiluted vitreous (1-2 ml) was first obtained for cytologic analysis and interleukin-6 and -10 examinations. The infusion was subsequently started, and a second diluted vitreous specimen was collected in a separate bottle using gentle vitreous cutting. The diluted samples were used for the following studies: WES; immunoglobulin clonality assays; bacterial cultures and staining; fungal cultures and staining; and polymerase chain reaction (PCR) for varicella zoster virus (VZV), herpes simplex virus (HSV) type 1 and 2, cytomegalovirus (CMV), toxoplasmosis, and tuberculosis. The samples were immediately delivered to the pathology laboratory without fixation.11-13 Interleukin measurements and immunoglobulin clonality assays IL-6 and 10 levels were manually measured using the Human IL-6, 10 Quantikine ELISA (R&D Systems, Minneapolis, Minnesota, USA), according to the manufacturer’s instructions. B-cell heavy chain and kappa light chain immunoglobulin clonality assays were conducted using the LymphoTrack Dx IGH FR1 Assay Panel and LymphoTrack Dx IGK Assay Panel (Invivoscribe, Inc., San Diego, CA, USA) according to the manufacturer's instructions. The results were analyzed using LymphoTrack software (Invivoscribe). References (Supplementary Methods) 1 Li H. Toward better understanding of artifacts in variant calling from high-coverage samples. Bioinformatics 2014; 30: 2843-2851. 2 Cibulskis K, Lawrence MS, Carter SL, Sivachenko A, Jaffe D, Sougnez C et al. Sensitive detection of somatic point mutations in impure and heterogeneous cancer samples. Nat Biotechnol 2013; 31: 213-219. 3 DePristo MA, Banks E, Poplin R, Garimella KV, Maguire JR, Hartl C et al. A framework for variation discovery and genotyping using next-generation DNA sequencing data. Nat Genet 2011; 43: 491-498. 4 Koboldt DC, Zhang Q, Larson DE, Shen D, McLellan MD, Lin L et al. VarScan 2: somatic mutation and copy number alteration discovery in cancer by exome sequencing. Genome Res 2012; 22: 568-576. 5 Plagnol V, Curtis J, Epstein M, Mok KY, Stebbings E, Grigoriadou S et al. A robust model for read count data in exome sequencing experiments and implications for copy number variant calling. Bioinformatics 2012; 28: 2747-2754. 6 Robinson JT, Thorvaldsdottir H, Winckler W, Guttman M, Lander ES, Getz G et al. Integrative genomics viewer. Nat Biotechnol 2011; 29: 24-26. 7 Bruno A, Boisselier B, Labreche K, Marie Y, Polivka M, Jouvet A et al. Mutational analysis of primary central nervous system lymphoma. Oncotarget 2014; 5: 5065-5075. 8 Braggio E, Van Wier S, Ojha J, McPhail E, Asmann YW, Egan J et al. Genome-Wide Analysis Uncovers Novel Recurrent Alterations in Primary Central Nervous System Lymphomas. Clin Cancer Res 2015; 21: 3986-3994. 9 Vater I, Montesinos-Rongen M, Schlesner M, Haake A, Purschke F, Sprute R et al. The mutational pattern of primary lymphoma of the central nervous system determined by whole- exome sequencing. Leukemia 2015; 29: 677-685. 10 Nakamura T, Tateishi K, Niwa T, Matsushita Y, Tamura K, Kinoshita M et al. Recurrent mutations of CD79B and MYD88 are the hallmark of primary central nervous system lymphomas. Neuropathol Appl Neurobiol 2016; 42: 279-290. 11 Gonzales JA, Chan CC. Biopsy techniques and yields in diagnosing primary intraocular lymphoma. Int Ophthalmol 2007; 27: 241-250. 12 Margolis R, Brasil OF, Lowder CY, Singh RP, Kaiser PK, Smith SD et al. Vitrectomy for the diagnosis and management of uveitis of unknown cause. Ophthalmology 2007; 114: 1893- 1897. 13 Rajagopal R, Harbour JW. Diagnostic testing and treatment choices in primary vitreoretinal lymphoma. Retina 2011; 31: 435-440. Supplemental Table 1. Identified nonsynonymous somatic mutations ID chrom.pos gene NM HGVSc HGVSp VAF 7 chr11:64522792-64522792 PYGM NM_005609.2 c.808C>T p.Arg270Ter 0.43 7 chr1:149858886-149858886 HIST2H2AC NM_003517.2 c.363delC p.Glu122LysfsTer? 0.24 7 chr1:203274840-203274840 BTG2 NM_006763.2 c.106A>T p.Lys36Ter 0.39 7 chr10:120354734-120354734 PRLHR NM_004248.2 c.23delG p.Gly8AlafsTer52 0.63 7 chr15:73735686-73735686 REC114 NM_001042367.1 c.159+1G>A 0.42 7 chr19:54974185-54974185 LENG9 NM_198988.1 c.591G>A p.Trp197Ter 0.46 7 chr2:173850159-173850159 RAPGEF4 NM_007023.3 c.1090-2A>C 0.38 7 chr3:120424952-120424952 RABL3 NM_173825.3 c.278delT p.Phe93SerfsTer5 0.57 7 chr4:22436941-22436941 ADGRA3 NM_145290.3 c.1436C>A p.Ser479Ter 0.36 7 chr5:34004765-34004765 AMACR NM_014324.5 c.465dupT p.Gly156TrpfsTer15 0.46 7 chr6:34827059-34827059 UHRF1BP1 NM_017754.3 c.2926C>T p.Gln976Ter 0.43 7 chr6:37139063-37139063 PIM1 NM_002648.3 c.403G>T p.Glu135Ter 0.45 7 chr6:106552954-106552954 PRDM1 NM_001198.3 c.919G>T p.Glu307Ter 0.86 7 chr1:156035898-156035898 RAB25 NM_020387.2 c.239+1G>A 0.55 7 chr10:135083399-135083399 ADAM8 NM_001109.4 c.1863+2T>C 0.31 7 chr19:22942297-22942297 ZNF99 NM_001080409.2 c.413dupC p.Thr139AsnfsTer10 0.22 7 chr2:64199311-64199312 VPS54 NM_016516.2 c.445_446delTT p.Leu149ThrfsTer4 0.57 7 chr4:15542617-15542617 CC2D2A NM_001080522.2 c.2161C>A p.Pro721Thr 0.47 7 chr7:117171037-117171037 CFTR NM_000492.3 c.358G>C p.Ala120Pro 0.47 7 chr10:55944907-55944907 PCDH15 NM_033056.3 c.1427C>T p.Thr476Ile 0.46 7 chr18:53255701-53255701 TCF4 NM_001083962.1 c.-453G>C 0.46 7 chr3:121712209-121712209 ILDR1 NM_001199799.1 c.1387C>T p.Arg463Cys 0.39 7 chr7:124503424-124503424 POT1 NM_015450.2 c.526G>A p.Gly176Arg 0.44 7 chr3:38182641-38182641 MYD88 NM_002468.4 c.794T>C p.Leu265Pro 0.48 7 chr9:103004944-103004944 INVS NM_014425.3 c.889G>A p.Ala297Thr 0.59 7 chr11:61727470-61727470 BEST1 NM_004183.3 c.1055C>G p.Ala352Gly 0.45 7 chr1:216850419-216850419 ESRRG NM_001134285.2 c.402A>T p.Gln134His 0.46 7 chr10:50870727-50870727 CHAT NM_020549.4 c.1876G>A p.Ala626Thr 0.43 7 chr12:53587630-53587630 ITGB7 NM_000889.1 c.1364T>A p.Leu455Gln 0.36 7 chr12:110221560-110221560 TRPV4 NM_021625.4 c.2482C>T p.Arg828Cys 0.33 7 chr15:54592460-54592460 UNC13C NM_001080534.1 c.4157C>T p.Pro1386Leu 0.36 7 chr15:94927336-94927336 MCTP2 NM_018349.3 c.1668G>C p.Trp556Cys 0.60 7 chr17:18055457-18055457 MYO15A
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]
  • Human Artificial Chromosome (Hac) Vector
    Europäisches Patentamt *EP001559782A1* (19) European Patent Office Office européen des brevets (11) EP 1 559 782 A1 (12) EUROPEAN PATENT APPLICATION published in accordance with Art. 158(3) EPC (43) Date of publication: (51) Int Cl.7: C12N 15/09, C12N 1/15, 03.08.2005 Bulletin 2005/31 C12N 1/19, C12N 1/21, C12N 5/10, C12P 21/02 (21) Application number: 03751334.8 (86) International application number: (22) Date of filing: 03.10.2003 PCT/JP2003/012734 (87) International publication number: WO 2004/031385 (15.04.2004 Gazette 2004/16) (84) Designated Contracting States: • KATOH, Motonobu, Tottori University AT BE BG CH CY CZ DE DK EE ES FI FR GB GR Yonago-shi, Tottori 683-8503 (JP) HU IE IT LI LU MC NL PT RO SE SI SK TR • TOMIZUKA, Kazuma, Designated Extension States: Kirin Beer Kabushiki Kaisha AL LT LV MK Takashi-shi, Gunma 370-1295 (JP) • KUROIWA, Yoshimi, (30) Priority: 04.10.2002 JP 2002292853 Kirin Beer Kabushiki Kaisha Takasaki-shi, Gunma 370-1295 (JP) (71) Applicant: KIRIN BEER KABUSHIKI KAISHA • KAKEDA, Minoru, Kirin Beer Kabushiki Kaisha Tokyo 104-8288 (JP) Takasaki-shi, Gunma 370-1295 (JP) (72) Inventors: (74) Representative: HOFFMANN - EITLE • OSHIMURA, Mitsuo, Tottori University Patent- und Rechtsanwälte Yonago-shi, Tottori 683-8503 (JP) Arabellastrasse 4 81925 München (DE) (54) HUMAN ARTIFICIAL CHROMOSOME (HAC) VECTOR (57) The present invention relates to a human arti- ing a cell which expresses foreign DNA. Furthermore, ficial chromosome (HAC) vector and a method for pro- the present invention relates to a method for producing ducing the same.
    [Show full text]
  • LETTER Doi:10.1038/Nature09515
    LETTER doi:10.1038/nature09515 Distant metastasis occurs late during the genetic evolution of pancreatic cancer Shinichi Yachida1*, Siaˆn Jones2*, Ivana Bozic3, Tibor Antal3,4, Rebecca Leary2, Baojin Fu1, Mihoko Kamiyama1, Ralph H. Hruban1,5, James R. Eshleman1, Martin A. Nowak3, Victor E. Velculescu2, Kenneth W. Kinzler2, Bert Vogelstein2 & Christine A. Iacobuzio-Donahue1,5,6 Metastasis, the dissemination and growth of neoplastic cells in an were present in the primary pancreatic tumours from which the meta- organ distinct from that in which they originated1,2, is the most stases arose. A small number of these samples of interest were cell lines common cause of death in cancer patients. This is particularly true or xenografts, similar to the index lesions, whereas the majority were for pancreatic cancers, where most patients are diagnosed with fresh-frozen tissues that contained admixed neoplastic, stromal, metastatic disease and few show a sustained response to chemo- inflammatory, endothelial and normal epithelial cells (Fig. 1a). Each therapy or radiation therapy3. Whether the dismal prognosis of tissue sample was therefore microdissected to minimize contaminat- patients with pancreatic cancer compared to patients with other ing non-neoplastic elements before purifying DNA. types of cancer is a result of late diagnosis or early dissemination of Two categories of mutations were identified (Fig. 1b). The first and disease to distant organs is not known. Here we rely on data gen- largest category corresponded to those mutations present in all samples erated by sequencing the genomes of seven pancreatic cancer meta- from a given patient (‘founder’ mutations, mean of 64%, range 48–83% stases to evaluate the clonal relationships among primary and of all mutations per patient; Fig.
    [Show full text]
  • Supplementary Table S4. FGA Co-Expressed Gene List in LUAD
    Supplementary Table S4. FGA co-expressed gene list in LUAD tumors Symbol R Locus Description FGG 0.919 4q28 fibrinogen gamma chain FGL1 0.635 8p22 fibrinogen-like 1 SLC7A2 0.536 8p22 solute carrier family 7 (cationic amino acid transporter, y+ system), member 2 DUSP4 0.521 8p12-p11 dual specificity phosphatase 4 HAL 0.51 12q22-q24.1histidine ammonia-lyase PDE4D 0.499 5q12 phosphodiesterase 4D, cAMP-specific FURIN 0.497 15q26.1 furin (paired basic amino acid cleaving enzyme) CPS1 0.49 2q35 carbamoyl-phosphate synthase 1, mitochondrial TESC 0.478 12q24.22 tescalcin INHA 0.465 2q35 inhibin, alpha S100P 0.461 4p16 S100 calcium binding protein P VPS37A 0.447 8p22 vacuolar protein sorting 37 homolog A (S. cerevisiae) SLC16A14 0.447 2q36.3 solute carrier family 16, member 14 PPARGC1A 0.443 4p15.1 peroxisome proliferator-activated receptor gamma, coactivator 1 alpha SIK1 0.435 21q22.3 salt-inducible kinase 1 IRS2 0.434 13q34 insulin receptor substrate 2 RND1 0.433 12q12 Rho family GTPase 1 HGD 0.433 3q13.33 homogentisate 1,2-dioxygenase PTP4A1 0.432 6q12 protein tyrosine phosphatase type IVA, member 1 C8orf4 0.428 8p11.2 chromosome 8 open reading frame 4 DDC 0.427 7p12.2 dopa decarboxylase (aromatic L-amino acid decarboxylase) TACC2 0.427 10q26 transforming, acidic coiled-coil containing protein 2 MUC13 0.422 3q21.2 mucin 13, cell surface associated C5 0.412 9q33-q34 complement component 5 NR4A2 0.412 2q22-q23 nuclear receptor subfamily 4, group A, member 2 EYS 0.411 6q12 eyes shut homolog (Drosophila) GPX2 0.406 14q24.1 glutathione peroxidase
    [Show full text]
  • An Uncommon Clinical Presentation of Relapsing Dilated Cardiomyopathy with Identification of Sequence Variations in MYNPC3, KCNH2 and Mitochondrial Trna Cysteine M
    View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by George Washington University: Health Sciences Research Commons (HSRC) Himmelfarb Health Sciences Library, The George Washington University Health Sciences Research Commons Pediatrics Faculty Publications Pediatrics 6-2015 An uncommon clinical presentation of relapsing dilated cardiomyopathy with identification of sequence variations in MYNPC3, KCNH2 and mitochondrial tRNA cysteine M. J. Guillen Sacoto Kimberly A. Chapman George Washington University D. Heath M. B. Seprish Dina Zand George Washington University Follow this and additional works at: http://hsrc.himmelfarb.gwu.edu/smhs_peds_facpubs Part of the Pediatrics Commons Recommended Citation Guillen Sacoto, M.J., Chapman, K.A., Heath, D., Seprish, M.B., Zand, D.J. (2015). An uncommon clinical presentation of relapsing dilated cardiomyopathy with identification of sequence variations in MYNPC3, KCNH2 and mitochondrial tRNA cysteine. Molecular Genetics and Metabolism Reports, 3, 47-54. doi:10.1016/j.ymgmr.2015.03.007 This Journal Article is brought to you for free and open access by the Pediatrics at Health Sciences Research Commons. It has been accepted for inclusion in Pediatrics Faculty Publications by an authorized administrator of Health Sciences Research Commons. For more information, please contact [email protected]. Molecular Genetics and Metabolism Reports 3 (2015) 47–54 Contents lists available at ScienceDirect Molecular Genetics and Metabolism Reports journal homepage: http://www.journals.elsevier.com/molecular-genetics-and- metabolism-reports/ Case Report An uncommon clinical presentation of relapsing dilated cardiomyopathy with identification of sequence variations in MYNPC3, KCNH2 and mitochondrial tRNA cysteine Maria J. Guillen Sacoto a,1, Kimberly A.
    [Show full text]
  • Novel Myosin Mutations for Hereditary Hearing Loss Revealed by Targeted Genomic Capture and Massively Parallel Sequencing
    European Journal of Human Genetics (2014) 22, 768–775 & 2014 Macmillan Publishers Limited All rights reserved 1018-4813/14 www.nature.com/ejhg ARTICLE Novel myosin mutations for hereditary hearing loss revealed by targeted genomic capture and massively parallel sequencing Zippora Brownstein1,6, Amal Abu-Rayyan2,6, Daphne Karfunkel-Doron1, Serena Sirigu3, Bella Davidov4, Mordechai Shohat1,4, Moshe Frydman1,5, Anne Houdusse3, Moien Kanaan2 and Karen B Avraham*,1 Hereditary hearing loss is genetically heterogeneous, with a large number of genes and mutations contributing to this sensory, often monogenic, disease. This number, as well as large size, precludes comprehensive genetic diagnosis of all known deafness genes. A combination of targeted genomic capture and massively parallel sequencing (MPS), also referred to as next-generation sequencing, was applied to determine the deafness-causing genes in hearing-impaired individuals from Israeli Jewish and Palestinian Arab families. Among the mutations detected, we identified nine novel mutations in the genes encoding myosin VI, myosin VIIA and myosin XVA, doubling the number of myosin mutations in the Middle East. Myosin VI mutations were identified in this population for the first time. Modeling of the mutations provided predicted mechanisms for the damage they inflict in the molecular motors, leading to impaired function and thus deafness. The myosin mutations span all regions of these molecular motors, leading to a wide range of hearing phenotypes, reinforcing the key role of this family of proteins in auditory function. This study demonstrates that multiple mutations responsible for hearing loss can be identified in a relatively straightforward manner by targeted-gene MPS technology and concludes that this is the optimal genetic diagnostic approach for identification of mutations responsible for hearing loss.
    [Show full text]
  • An Evolutionary Based Strategy for Predicting Rational Mutations in G Protein-Coupled Receptors
    Ecology and Evolutionary Biology 2021; 6(3): 53-77 http://www.sciencepublishinggroup.com/j/eeb doi: 10.11648/j.eeb.20210603.11 ISSN: 2575-3789 (Print); ISSN: 2575-3762 (Online) An Evolutionary Based Strategy for Predicting Rational Mutations in G Protein-Coupled Receptors Miguel Angel Fuertes*, Carlos Alonso Department of Microbiology, Centre for Molecular Biology “Severo Ochoa”, Spanish National Research Council and Autonomous University, Madrid, Spain Email address: *Corresponding author To cite this article: Miguel Angel Fuertes, Carlos Alonso. An Evolutionary Based Strategy for Predicting Rational Mutations in G Protein-Coupled Receptors. Ecology and Evolutionary Biology. Vol. 6, No. 3, 2021, pp. 53-77. doi: 10.11648/j.eeb.20210603.11 Received: April 24, 2021; Accepted: May 11, 2021; Published: July 13, 2021 Abstract: Capturing conserved patterns in genes and proteins is important for inferring phenotype prediction and evolutionary analysis. The study is focused on the conserved patterns of the G protein-coupled receptors, an important superfamily of receptors. Olfactory receptors represent more than 2% of our genome and constitute the largest family of G protein-coupled receptors, a key class of drug targets. As no crystallographic structures are available, mechanistic studies rely on the use of molecular dynamic modelling combined with site-directed mutagenesis data. In this paper, we hypothesized that human-mouse orthologs coding for G protein-coupled receptors maintain, at speciation events, shared compositional structures independent, to some extent, of their percent identity as reveals a method based in the categorization of nucleotide triplets by their gross composition. The data support the consistency of the hypothesis, showing in ortholog G protein-coupled receptors the presence of emergent shared compositional structures preserved at speciation events.
    [Show full text]
  • European Patent Office of Opposition to That Patent, in Accordance with the Implementing Regulations
    (19) TZZ Z_T (11) EP 2 884 280 B1 (12) EUROPEAN PATENT SPECIFICATION (45) Date of publication and mention (51) Int Cl.: of the grant of the patent: G01N 33/566 (2006.01) 09.05.2018 Bulletin 2018/19 (21) Application number: 13197310.9 (22) Date of filing: 15.12.2013 (54) Method for evaluating the scent performance of perfumes and perfume mixtures Verfahren zur Bewertung des Duftverhaltens von Duftstoffen und Duftstoffmischungen Procédé d’evaluation de senteur performance du parfums et mixtures de parfums (84) Designated Contracting States: (56) References cited: AL AT BE BG CH CY CZ DE DK EE ES FI FR GB WO-A2-03/091388 GR HR HU IE IS IT LI LT LU LV MC MK MT NL NO PL PT RO RS SE SI SK SM TR • BAGHAEI KAVEH A: "Deorphanization of human olfactory receptors by luciferase and Ca-imaging (43) Date of publication of application: methods.",METHODS IN MOLECULAR BIOLOGY 17.06.2015 Bulletin 2015/25 (CLIFTON, N.J.) 2013, vol. 1003, 19 June 2013 (2013-06-19), pages229-238, XP008168583, ISSN: (73) Proprietor: Symrise AG 1940-6029 37603 Holzminden (DE) • KAVEH BAGHAEI ET AL: "Olfactory receptors coded by segregating pseudo genes and (72) Inventors: odorants with known specific anosmia.", 33RD • Hatt, Hanns ANNUAL MEETING OF THE ASSOCIATION FOR 44789 Bochum (DE) CHEMORECEPTION, 1 April 2011 (2011-04-01), • Gisselmann, Günter XP055111507, 58456 Witten (DE) • TOUHARA ET AL: "Deorphanizing vertebrate • Ashtibaghaei, Kaveh olfactory receptors: Recent advances in 44801 Bochum (DE) odorant-response assays", NEUROCHEMISTRY • Panten, Johannes INTERNATIONAL, PERGAMON PRESS, 37671 Höxter (DE) OXFORD, GB, vol.
    [Show full text]
  • A Multispecific Investigation of the Metal Effect in Mammalian Odorant
    Chemical Senses, 2018, Vol 00, 1–10 doi:10.1093/chemse/bjy022 Original Article Advance Access Publication Date: 06 April 2018 Original Article A Multispecific Investigation of the Metal Effect in Mammalian Odorant Receptors for Sulfur- Containing Compounds Ruina Zhang1,*, Yi Pan1,*, Lucky Ahmed2, Eric Block3, Yuetian Zhang1, Victor S. Batista2 and Hanyi Zhuang1,4 1Department of Pathophysiology, Key Laboratory of Cell Differentiation and Apoptosis of the Chinese Ministry of Education, Shanghai Jiaotong University School of Medicine, 227 South Chongqing Road, Huangpu District, Shanghai 200025, P. R. China, 2Department of Chemistry, Yale University, 225 Prospect Street, New Haven, CT 06520, USA, 3Department of Chemistry, University at Albany, State University of New York, 1400 Washington Avenue Albany, NY 12222, USA and 4Institute of Health Sciences, Shanghai Jiaotong University School of Medicine/Shanghai Institutes for Biological Sciences of Chinese Academy of Sciences, 320 Yueyang Road, Xuhui District, Shanghai 200031, P. R. China *These authors contributed equally to the work. Correspondence to be sent to: Hanyi Zhuang, Department of Pathophysiology, Key Laboratory of Cell Differentiation and Apoptosis of the Chinese Ministry of Education, Shanghai Jiaotong University School of Medicine, Shanghai 200025, P. R. China. e-mail: [email protected] and Victor S. Batista, Department of Chemistry, Yale University, New Haven, CT 06520, USA. e-mail: [email protected] Editorial Decision 15 March 2018. Abstract Metal-coordinating compounds are generally known to have strong smells, a phenomenon that can be attributed to the fact that odorant receptors for intense-smelling compounds, such as those containing sulfur, may be metalloproteins. We previously identified a mouse odorant receptor (OR), Olfr1509, that requires copper ions for sensitive detection of a series of metal-coordinating odorants, including (methylthio)methanethiol (MTMT), a strong-smelling component of male mouse urine that attracts female mice.
    [Show full text]
  • Single Cell Derived Clonal Analysis of Human Glioblastoma Links
    SUPPLEMENTARY INFORMATION: Single cell derived clonal analysis of human glioblastoma links functional and genomic heterogeneity ! Mona Meyer*, Jüri Reimand*, Xiaoyang Lan, Renee Head, Xueming Zhu, Michelle Kushida, Jane Bayani, Jessica C. Pressey, Anath Lionel, Ian D. Clarke, Michael Cusimano, Jeremy Squire, Stephen Scherer, Mark Bernstein, Melanie A. Woodin, Gary D. Bader**, and Peter B. Dirks**! ! * These authors contributed equally to this work.! ** Correspondence: [email protected] or [email protected]! ! Supplementary information - Meyer, Reimand et al. Supplementary methods" 4" Patient samples and fluorescence activated cell sorting (FACS)! 4! Differentiation! 4! Immunocytochemistry and EdU Imaging! 4! Proliferation! 5! Western blotting ! 5! Temozolomide treatment! 5! NCI drug library screen! 6! Orthotopic injections! 6! Immunohistochemistry on tumor sections! 6! Promoter methylation of MGMT! 6! Fluorescence in situ Hybridization (FISH)! 7! SNP6 microarray analysis and genome segmentation! 7! Calling copy number alterations! 8! Mapping altered genome segments to genes! 8! Recurrently altered genes with clonal variability! 9! Global analyses of copy number alterations! 9! Phylogenetic analysis of copy number alterations! 10! Microarray analysis! 10! Gene expression differences of TMZ resistant and sensitive clones of GBM-482! 10! Reverse transcription-PCR analyses! 11! Tumor subtype analysis of TMZ-sensitive and resistant clones! 11! Pathway analysis of gene expression in the TMZ-sensitive clone of GBM-482! 11! Supplementary figures and tables" 13" "2 Supplementary information - Meyer, Reimand et al. Table S1: Individual clones from all patient tumors are tumorigenic. ! 14! Fig. S1: clonal tumorigenicity.! 15! Fig. S2: clonal heterogeneity of EGFR and PTEN expression.! 20! Fig. S3: clonal heterogeneity of proliferation.! 21! Fig.
    [Show full text]
  • WO 2012/169644 Al 13 December 2012 (13.12.2012) P O P C T
    (12) INTERNATIONAL APPLICATION PUBLISHED UNDER THE PATENT COOPERATION TREATY (PCT) (19) World Intellectual Property Organization International Bureau (10) International Publication Number (43) International Publication Date WO 2012/169644 Al 13 December 2012 (13.12.2012) P O P C T (51) International Patent Classification: (81) Designated States (unless otherwise indicated, for every G01N 33/566 (2006.01) G01N 33/50 (2006.01) kind of national protection available): AE, AG, AL, AM, AO, AT, AU, AZ, BA, BB, BG, BH, BR, BW, BY, BZ, (21) International Application Number: CA, CH, CL, CN, CO, CR, CU, CZ, DE, DK, DM, DO, PCT/JP20 12/064862 DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, HN, (22) International Filing Date: HR, HU, ID, IL, IN, IS, KE, KG, KM, KN, KP, KR, KZ, 5 June 2012 (05.06.2012) LA, LC, LK, LR, LS, LT, LU, LY, MA, MD, ME, MG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, NO, NZ, OM, (25) Filing Language: English PE, PG, PH, PL, PT, QA, RO, RS, RU, RW, SC, SD, SE, (26) Publication Language: English SG, SK, SL, SM, ST, SV, SY, TH, TJ, TM, TN, TR, TT, TZ, UA, UG, US, UZ, VC, VN, ZA, ZM, ZW. (30) Priority Data: 201 1-126637 6 June 201 1 (06.06.201 1) (84) Designated States (unless otherwise indicated, for every kind of regional protection available): ARIPO (BW, GH, (71) Applicant (for all designated States except US): KAO GM, KE, LR, LS, MW, MZ, NA, RW, SD, SL, SZ, TZ, CORPORATION [JP/JP]; 14-10, Nihonbashi Kayabacho UG, ZM, ZW), Eurasian (AM, AZ, BY, KG, KZ, RU, TJ, 1-chome, Chuo-ku, Tokyo, 1038210 (JP).
    [Show full text]
  • Sean Raspet – Molecules
    1. Commercial name: Fructaplex© IUPAC Name: 2-(3,3-dimethylcyclohexyl)-2,5,5-trimethyl-1,3-dioxane SMILES: CC1(C)CCCC(C1)C2(C)OCC(C)(C)CO2 Molecular weight: 240.39 g/mol Volume (cubic Angstroems): 258.88 Atoms number (non-hydrogen): 17 miLogP: 4.43 Structure: Biological Properties: Predicted Druglikenessi: GPCR ligand -0.23 Ion channel modulator -0.03 Kinase inhibitor -0.6 Nuclear receptor ligand 0.15 Protease inhibitor -0.28 Enzyme inhibitor 0.15 Commercial name: Fructaplex© IUPAC Name: 2-(3,3-dimethylcyclohexyl)-2,5,5-trimethyl-1,3-dioxane SMILES: CC1(C)CCCC(C1)C2(C)OCC(C)(C)CO2 Predicted Olfactory Receptor Activityii: OR2L13 83.715% OR1G1 82.761% OR10J5 80.569% OR2W1 78.180% OR7A2 77.696% 2. Commercial name: Sylvoxime© IUPAC Name: N-[4-(1-ethoxyethenyl)-3,3,5,5tetramethylcyclohexylidene]hydroxylamine SMILES: CCOC(=C)C1C(C)(C)CC(CC1(C)C)=NO Molecular weight: 239.36 Volume (cubic Angstroems): 252.83 Atoms number (non-hydrogen): 17 miLogP: 4.33 Structure: Biological Properties: Predicted Druglikeness: GPCR ligand -0.6 Ion channel modulator -0.41 Kinase inhibitor -0.93 Nuclear receptor ligand -0.17 Protease inhibitor -0.39 Enzyme inhibitor 0.01 Commercial name: Sylvoxime© IUPAC Name: N-[4-(1-ethoxyethenyl)-3,3,5,5tetramethylcyclohexylidene]hydroxylamine SMILES: CCOC(=C)C1C(C)(C)CC(CC1(C)C)=NO Predicted Olfactory Receptor Activity: OR52D1 71.900% OR1G1 70.394% 0R52I2 70.392% OR52I1 70.390% OR2Y1 70.378% 3. Commercial name: Hyperflor© IUPAC Name: 2-benzyl-1,3-dioxan-5-one SMILES: O=C1COC(CC2=CC=CC=C2)OC1 Molecular weight: 192.21 g/mol Volume
    [Show full text]