Genes and Mutations Causing Autosomal Dominant Retinitis Pigmentosa
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Genetic Determinants Underlying Rare Diseases Identified Using Next-Generation Sequencing Technologies
Western University Scholarship@Western Electronic Thesis and Dissertation Repository 8-2-2018 1:30 PM Genetic determinants underlying rare diseases identified using next-generation sequencing technologies Rosettia Ho The University of Western Ontario Supervisor Hegele, Robert A. The University of Western Ontario Graduate Program in Biochemistry A thesis submitted in partial fulfillment of the equirr ements for the degree in Master of Science © Rosettia Ho 2018 Follow this and additional works at: https://ir.lib.uwo.ca/etd Part of the Medical Genetics Commons Recommended Citation Ho, Rosettia, "Genetic determinants underlying rare diseases identified using next-generation sequencing technologies" (2018). Electronic Thesis and Dissertation Repository. 5497. https://ir.lib.uwo.ca/etd/5497 This Dissertation/Thesis is brought to you for free and open access by Scholarship@Western. It has been accepted for inclusion in Electronic Thesis and Dissertation Repository by an authorized administrator of Scholarship@Western. For more information, please contact [email protected]. Abstract Rare disorders affect less than one in 2000 individuals, placing a huge burden on individuals, families and the health care system. Gene discovery is the starting point in understanding the molecular mechanisms underlying these diseases. The advent of next- generation sequencing has accelerated discovery of disease-causing genetic variants and is showing numerous benefits for research and medicine. I describe the application of next-generation sequencing, namely LipidSeq™ ‒ a targeted resequencing panel for the identification of dyslipidemia-associated variants ‒ and whole-exome sequencing, to identify genetic determinants of several rare diseases. Utilization of next-generation sequencing plus associated bioinformatics led to the discovery of disease-associated variants for 71 patients with lipodystrophy, two with early-onset obesity, and families with brachydactyly, cerebral atrophy, microcephaly-ichthyosis, and widow’s peak syndrome. -
Avian Binocularity and Adaptation to Nocturnal Environments: Genomic Insights Froma Highly Derived Visual Phenotype Rui Borges Universidade Do Porto - Portugal
Nova Southeastern University NSUWorks Biology Faculty Articles Department of Biological Sciences 8-22-2019 Avian Binocularity and Adaptation to Nocturnal Environments: Genomic Insights froma Highly Derived Visual Phenotype Rui Borges Universidade do Porto - Portugal Joao Fonseca Universidade do Porto - Portugal Cidalia Gomes Universidade do Porto - Portugal Warren E. Johnson Smithsonian Institution Stephen James O'Brien St. Petersburg State University - Russia; Nova Southeastern University, [email protected] See next page for additional authors Follow this and additional works at: https://nsuworks.nova.edu/cnso_bio_facarticles Part of the Biology Commons NSUWorks Citation Borges, Rui; Joao Fonseca; Cidalia Gomes; Warren E. Johnson; Stephen James O'Brien; Guojie Zhang; M. Thomas P. Gilbert; Erich D. Jarvis; and Agostinho Antunes. 2019. "Avian Binocularity and Adaptation to Nocturnal Environments: Genomic Insights froma Highly Derived Visual Phenotype." Genome Biology and Evolution 11, (8): 2244-2255. doi:10.1093/gbe/evz111. This Article is brought to you for free and open access by the Department of Biological Sciences at NSUWorks. It has been accepted for inclusion in Biology Faculty Articles by an authorized administrator of NSUWorks. For more information, please contact [email protected]. Authors Rui Borges, Joao Fonseca, Cidalia Gomes, Warren E. Johnson, Stephen James O'Brien, Guojie Zhang, M. Thomas P. Gilbert, Erich D. Jarvis, and Agostinho Antunes This article is available at NSUWorks: https://nsuworks.nova.edu/cnso_bio_facarticles/982 GBE Avian Binocularity and Adaptation to Nocturnal Environments: Genomic Insights from a Highly Derived Visual Downloaded from https://academic.oup.com/gbe/article-abstract/11/8/2244/5544263 by Nova Southeastern University/HPD Library user on 16 September 2019 Phenotype Rui Borges1,2,Joao~ Fonseca1,Cidalia Gomes1, Warren E. -
Progressive Cone and Cone-Rod Dystrophies
Br J Ophthalmol: first published as 10.1136/bjophthalmol-2018-313278 on 24 January 2019. Downloaded from Review Progressive cone and cone-rod dystrophies: clinical features, molecular genetics and prospects for therapy Jasdeep S Gill,1 Michalis Georgiou,1,2 Angelos Kalitzeos,1,2 Anthony T Moore,1,3 Michel Michaelides1,2 ► Additional material is ABSTRact proteins involved in photoreceptor structure, or the published online only. To view Progressive cone and cone-rod dystrophies are a clinically phototransduction cascade. please visit the journal online (http:// dx. doi. org/ 10. 1136/ and genetically heterogeneous group of inherited bjophthalmol- 2018- 313278). retinal diseases characterised by cone photoreceptor PHOTORECEPTION AND THE degeneration, which may be followed by subsequent 1 PHOTOTRANSDUCTION CASCADE UCL Institute of rod photoreceptor loss. These disorders typically present Rod photoreceptors contain rhodopsin phot- Ophthalmology, University with progressive loss of central vision, colour vision College London, London, UK opigment, whereas cone photoreceptors contain 2Moorfields Eye Hospital NHS disturbance and photophobia. Considerable progress one of three types of opsin: S-cone, M-cone or Foundation Trust, London, UK has been made in elucidating the molecular genetics L-cone opsin. Disease-causing sequence variants 3 Ophthalmology Department, and genotype–phenotype correlations associated with in the genes encoding the latter two cone opsins University of California San these dystrophies, with mutations in at least 30 genes -
Telomere Biology and Aging
1 CHAPTER 1: Telomeres in Aging: Birds Susan E. Swanberg and Mary E. Delany Department of Animal Science University of California Davis, CA 95616 Handbook of Models for the Study of Human Aging (In press 2005) 2 I. Abstract This chapter describes the use of avian species (the domestic chicken Gallus domesticus in particular) as model organisms for research in telomere biology and aging. Presented here are key concepts of avian telomere biology including characteristics of the model: the karyotype, telomere arrays, telomere shortening as a measure of the senescence phenotype or organismal aging, and telomerase activity in avian systems including chicken embryonic stem cells, chicken embryo fibroblasts, the gastrula embryo and DT40 cells. Key methods used to measure telomere shortening, telomerase activity, and to conduct expression profiling of selected genes involved in telomere length maintenance are noted as are methods for conducting gain- and loss-of-function studies in the chicken embryo. Tables containing references on general topics related to avian telomere biology and poultry husbandry as well as specific information regarding chicken orthologs of genes implicated in telomere maintenance pathways are provided. Internet resources for investigators of avian telomere biology are listed. 3 II. Glossary Telomere-The chromosome end which in vertebrates is composed of many copies of the hexanucleotide repeat 5' TTAGGG 3' along with associated DNA binding proteins. Replicative senescence-After a finite and typically species and tissue-specific number of divisions, cells are no longer able to proliferate. Cell morphology changes such as increased cell size, increase in the size of the nucleus and nucleoli, increased vacuolation, and expression of senescence markers are typically observed in senescent cells. -
Molecular Characterization of the Interaction Between Peripherin-2 and Opsins in Rod and Cone Photoreceptors
Dissertation zur Erlangung des Doktorgrades der Fakultät für Chemie und Pharmazie der Ludwig-Maximilians-Universität München Molecular characterization of the interaction between peripherin-2 and opsins in rod and cone photoreceptors Ong Nam Phuong Nguyen aus München 2016 Erklärung Die Dissertation wurde im Sinne von § 7 der Promotionsordnung vom 28. November 2011 von Herrn Prof. Dr. Martin Biel betreut. Eidesstattliche Versicherung Die Dissertation wurde eigenständig und ohne unerlaubte Hilfsmittel erarbeitet. München, den ……………………. ………………………………………….. (Ong Nam Phuong Nguyen) Dissertation eingereicht am: 29.01.2016 1. Gutachter: Prof. Dr. Martin Biel 2. Gutachter: PD Dr. Stylianos Michalakis Mündliche Prüfung am: 24.02.2016 Table of contents Table of contents Table of contents .................................................................................................................. I 1 Introduction ............................................................................................................ 1 1.1 Anatomy of the retina ............................................................................................... 1 1.2 Anatomy of photoreceptors ...................................................................................... 2 1.3 Signaling transduction in photoreceptors .................................................................. 3 1.4 Topology and function of retinal opsins .................................................................... 5 1.5 Peripherin-2 ............................................................................................................. -
Nitrosourea Mutagenesis Causes Retinal Degeneration in Mice
Molecular Vision 2010; 16:378-391 <http://www.molvis.org/molvis/v16/a44> © 2010 Molecular Vision Received 18 May 2009 | Accepted 1 March 2010 | Published 10 March 2010 A monogenic dominant mutation in Rom1 generated by N-ethyl-N- nitrosourea mutagenesis causes retinal degeneration in mice Hajime Sato,1 Tomohiro Suzuki,2 Kyoko Ikeda,2 Hiroshi Masuya,3 Hideki Sezutsu,4 Hideki Kaneda,2 Kimio Kobayashi,2 Ikuo Miura,2 Yasuyuki Kurihara,5 Shunji Yokokura,1 Kohji Nishida,1 Makoto Tamai,1 Yoichi Gondo,6 Tetsuo Noda,7 Shigeharu Wakana2 (The first two authors contributed equally to this work) 1Department of Ophthalmology, Tohoku University Graduate School of Medicine, Sendai, Japan; 2Technology and Development Team for Mouse Phenotype Analysis, RIKEN BioResource Center, Ibaraki, Japan; 3Technology and Development Unit for Knowledge Base of Mouse Phenotype, RIKEN BioResource Center, Ibaraki, Japan; 4Transgenic Silkworm Research Center, National Institute of Agrobiological Sciences, Ibaraki, Japan; 5Department of Environment and National Science, Graduate School of Environment and Information Science, Yokohama National University, Yokohama, Japan; 6Mutagenesis and Genomics Team, RIKEN BioResource Center, Ibaraki, Japan; 7Team for Advanced Development and Evaluation of Human Disease Models, RIKEN BioResource Center, Ibaraki, Japan Purpose: To characterize an N-ethyl-N-nitrosourea-induced dominant mouse mutant, M-1156, that exhibits progressive retinal degeneration and to investigate the pathogenesis of the retinal phenotype in the mutant. Methods: A positional candidate gene approach was used to identify the causative gene in the M-1156 mutant. Funduscopic examination, light microscopy, transmission electron microscopy, and electroretinography were performed to analyze the M-1156 phenotype. Real-time quantitative PCR, immunohistochemistry, and western blotting were also performed. -
Clinical Features of Autosomal Dominant Retinitis Pigmentosa Associated with a Rhodopsin Mutation
Clinical Features of adRP—Haoyu Chen et al 411 Original Article Clinical Features of Autosomal Dominant Retinitis Pigmentosa Associated with a Rhodopsin Mutation 1,2 3 3 3 3,4 Haoyu Chen, MS, Yali Chen, PhD, Rachael Horn, MD, Zhenglin Yang, MD, Changguan Wang, MD, 3 3 Matthew J Turner, MSPH, Kang Zhang, MD, PhD Abstract Introduction: Retinitis pigmentosa (RP) describes a group of inherited disorders characterised by progressive retinal dysfunction, cell loss and atrophy of retinal tissue. RP demonstrates considerable clinical and genetic heterogeneity, with wide variations in disease severity, progres- sion, and gene involvement. We studied a large family with RP to determine the pattern of inheritance and identify the disease-causing mutation, and then to describe the phenotypic presentation of this family. Materials and Methods: Ophthalmic examination was performed on 46 family members to identify affected individuals and to characterise the disease phenotype. Family pedigree was obtained. Some family members also had fundus photographs, fluorescein angiography, and/or optical coherence tomography (OCT) analysis performed. Genetic linkage was performed using short tandem repeat (STR) polymorphic markers encompassing the known loci for autosomal dominant RP. Finally, DNA sequencing was performed to identify the mutation present in this family. Results: Clinical features included nyctalopia, constriction of visual fields and eventual loss of central vision. Sequence analysis revealed a G-to-T nucleotide change in the Rhodopsin gene, predicting a Gly-51-Val substitution. Conclusions: This large multi-generation family demonstrates the phenotypic variability of a previously identified autosomal dominant mutation of the Rhodopsin gene. Ann Acad Med Singapore 2006;35:411-5 Key words: Hereditary eye diseases, Retinal degeneration, Retinopathy, Rod cone dystrophies Introduction photoreceptor cells. -
Supplementary Figure 1. Network Map Associated with Upregulated Canonical Pathways Shows Interferon Alpha As a Key Regulator
Supplementary Figure 1. Network map associated with upregulated canonical pathways shows interferon alpha as a key regulator. IPA core analysis determined interferon-alpha as an upstream regulator in the significantly upregulated genes from RNAseq data from nasopharyngeal swabs of COVID-19 patients (GSE152075). Network map was generated in IPA, overlaid with the Coronavirus Replication Pathway. Supplementary Figure 2. Network map associated with Cell Cycle, Cellular Assembly and Organization, DNA Replication, Recombination, and Repair shows relationships among significant canonical pathways. Significant pathways were identified from pathway analysis of RNAseq from PBMCs of COVID-19 patients. Coronavirus Pathogenesis Pathway was also overlaid on the network map. The orange and blue colors in indicate predicted activation or predicted inhibition, respectively. Supplementary Figure 3. Significant biological processes affected in brochoalveolar lung fluid of severe COVID-19 patients. Network map was generated by IPA core analysis of differentially expressed genes for severe vs mild COVID-19 patients in bronchoalveolar lung fluid (BALF) from scRNA-seq profile of GSE145926. Orange color represents predicted activation. Red boxes highlight important cytokines involved. Supplementary Figure 4. 10X Genomics Human Immunology Panel filtered differentially expressed genes in each immune subset (NK cells, T cells, B cells, and Macrophages) of severe versus mild COVID-19 patients. Three genes (HLA-DQA2, IFIT1, and MX1) were found significantly and consistently differentially expressed. Gene expression is shown per the disease severity (mild, severe, recovered) is shown on the top row and expression across immune cell subsets are shown on the bottom row. Supplementary Figure 5. Network map shows interactions between differentially expressed genes in severe versus mild COVID-19 patients. -
Rp9 (NM 018739) Mouse Tagged ORF Clone – MG218146 | Origene
OriGene Technologies, Inc. 9620 Medical Center Drive, Ste 200 Rockville, MD 20850, US Phone: +1-888-267-4436 [email protected] EU: [email protected] CN: [email protected] Product datasheet for MG218146 Rp9 (NM_018739) Mouse Tagged ORF Clone Product data: Product Type: Expression Plasmids Product Name: Rp9 (NM_018739) Mouse Tagged ORF Clone Tag: TurboGFP Symbol: Rp9 Synonyms: PAP-1; Rp9h Vector: pCMV6-AC-GFP (PS100010) E. coli Selection: Ampicillin (100 ug/mL) Cell Selection: Neomycin ORF Nucleotide >MG218146 representing NM_018739 Sequence: Red=Cloning site Blue=ORF Green=Tags(s) TTTTGTAATACGACTCACTATAGGGCGGCCGGGAATTCGTCGACTGGATCCGGTACCGAGGAGATCTGCC GCCGCGATCGCC ATGTCGTCCGGGGCCGGGTCTCGGCGGCCGCGGGAGCCGCCGGAGCACGAGCTGCAGCGGCGGCGGGAGC AGAAACGGCGGCGGCACGACGCGCAGCAGCTGCAGCAGCTCAAGCACCTGGAGTCCTTTTATGAGAAACC TCCTCCTGGGTTTATAAAGGAGGACGAGACGAAGCCAGAAGACTGTATACCAGATGTGCCCGGCAATGAA CATGCCAGGGAGTTTCTGGCTCACGCTCCGACTAAAGGACTGTGGATGCCCCTGGGGAGAGAGGTCAAAG TTATGCAATGTTGGCGTTGCAAACGGTATGGCCATCGAACAGGCGACAAAGAATGCCCTTTCTTTATCAA AGGCAACCAGAAGTTAGAACAGTTCCGAGTCGCACATGAAGATCCTATGTACGACATCATTCGCGAGAAT AAAAGACATGAAAAGGATGTAAGGATCCAGCAGTTAAAGCAGTTACTGGAGGACTCCACCTCAGATGACG ACGGGAGCAGCTCCAGCTCCTCGGGGGACAGAGAGAAGCGCAAGAAAAGGAAGAAAAAAGAAAAGCACAA GAAACGCAAGAAGGAGAAGAAAAAGAAGAAGAAACGGAAGCACAAGGCTTCCAAGTCCAGTGAGAGCTCT GACTCAGAG ACGCGTACGCGGCCGCTCGAG - GFP Tag - GTTTAA Protein Sequence: >MG218146 representing NM_018739 Red=Cloning site Green=Tags(s) MSSGAGSRRPREPPEHELQRRREQKRRRHDAQQLQQLKHLESFYEKPPPGFIKEDETKPEDCIPDVPGNE HAREFLAHAPTKGLWMPLGREVKVMQCWRCKRYGHRTGDKECPFFIKGNQKLEQFRVAHEDPMYDIIREN -
Targeted RP9 Ablation and Mutagenesis in Mouse Photoreceptor Cells by CRISPR-Cas9
www.nature.com/scientificreports OPEN Targeted RP9 ablation and mutagenesis in mouse photoreceptor cells by CRISPR-Cas9 Received: 24 November 2016 Ji-Neng Lv1,2,*, Gao-Hui Zhou1,2,*, Xuejiao Chen1,2,*, Hui Chen1,2, Kun-Chao Wu1,2, Lue Xiang1,2, Accepted: 17 January 2017 Xin-Lan Lei1,2, Xiao Zhang1,2, Rong-Han Wu1,2 & Zi-Bing Jin1,2 Published: 20 February 2017 Precursor messenger RNA (Pre-mRNA) splicing is an essential biological process in eukaryotic cells. Genetic mutations in many spliceosome genes confer human eye diseases. Mutations in the pre- mRNA splicing factor, RP9 (also known as PAP1), predispose autosomal dominant retinitis pigmentosa (adRP) with an early onset and severe vision loss. However, underlying molecular mechanisms of the RP9 mutation causing photoreceptor degeneration remains fully unknown. Here, we utilize the CRISPR/Cas9 system to generate both the Rp9 gene knockout (KO) and point mutation knock in (KI) (Rp9, c.A386T, P.H129L) which is analogous to the reported one in the retinitis pigmentosa patients (RP9, c.A410T, P.H137L) in 661 W retinal photoreceptor cells in vitro. We found that proliferation and migration were significantly decreased in the mutated cells. Gene expression profiling by RNA- Seq demonstrated that RP associated genes, Fscn2 and Bbs2, were down-regulated in the mutated cells. Furthermore, pre-mRNA splicing of the Fscn2 gene was markedly affected. Our findings reveal a functional relationship between the ubiquitously expressing RP9 and the disease-specific gene, thereafter provide a new insight of disease mechanism in RP9-related retinitis pigmentosa. Retinitis pigmentosa (RP [MIM 268000]) is a group of retinal degenerative disorders with high heritability and heterogeneity, affecting approximately 1 in 4,000 in dividuals1,2 and it is becoming the leading cause of irre- versible midway blindness worldwide. -
Mouse Models of Human Disease. Part II: Recent Progress and Future Directions
Downloaded from genesdev.cshlp.org on September 30, 2021 - Published by Cold Spring Harbor Laboratory Press Mouse models of human disease. Part II: Recent progress and future directions Mary A. Bedell, 1 David A. Largaespada, 2 Nancy A. Jenkins, and Neal G. Copeland 3 Mammalian Genetics Laboratory, ABL-Basic Research Program, NCI-Frederick Cancer Research and Development Center, Frederick, Maryland 21702-1201 USA The development of new methods for manipulating the the recent progress in this area. Throughout the text and mouse genome, including transgenic and embryonic tables, we have cited only the most recent papers and stem (ES) cell knockout technology, combined with refer to reviews whenever possible. Interested readers are greatly improved genetic and physical maps for mouse encouraged to read the primary papers on each model has revolutionized our ability to generate new mouse and associated disease. models of human disease. In Part I of this review (Bedell et al., this issue), we described in detail the various tech- Disorders of neural crest derivatives niques and genetic resources that have facilitated mouse model development. In Part II of this review we highlight Cells from the neural crest differentiate into many dif- some of the recent progress that has been made in mouse ferent cell types including melanocytes of the skin and model development and discuss areas where these inner ear, neuronal and glial components of the periph- mouse models are likely to contribute in the future. We eral nervous system, neuroendocrine cells of the adrenal have focused in part II only on those models where the medulla and thyroid, and cartilaginous and membranous homologous gene is mutated in both the human and bones of the skull. -
Novel Insights Into the Pathophysiology of Peripherin-2 Mutations in Rod and Cone Photoreceptors
Dissertation zur Erlangung des Doktorgrades der Fakultät für Chemie und Pharmazie der Ludwig-Maximilians-Universität München Novel Insights into the Pathophysiology of Peripherin-2 Mutations in Rod and Cone Photoreceptors Sybille Böhm aus Schäßburg, Rumänien 2018 Erklärung Diese Dissertation wurde im Sinne von § 7 der Promotionsordnung vom 28. November 2011 von Herrn Prof. Dr. Martin Biel betreut. Eidesstattliche Versicherung Diese Dissertation wurde eigenständig und ohne unerlaubte Hilfe erarbeitet. München, den 12.10.2018 _______________________ (Sybille Böhm) Dissertation eingereicht am 12.10.2018 1. Gutachter: Prof. Dr. Martin Biel 2. Gutachter: PD Dr. Stylianos Michalakis Mündliche Prüfung am 18.12.2018 Table of contents 3 Table of contents 1 Preface .........................................................................................................................7 2 Introduction .................................................................................................................8 2.1 Anatomy of the retina .................................................................................................... 8 2.2 Anatomy of photoreceptors .......................................................................................... 9 2.3 Inherited retinal diseases ............................................................................................ 10 2.3.1 Retinitis pigmentosa ....................................................................................................... 10 2.4 Peripherin-2 .................................................................................................................