Impairment of Social Behaviors in Arhgef10 Knockout Mice

Total Page:16

File Type:pdf, Size:1020Kb

Impairment of Social Behaviors in Arhgef10 Knockout Mice Lu et al. Molecular Autism (2018) 9:11 https://doi.org/10.1186/s13229-018-0197-5 RESEARCH Open Access Impairment of social behaviors in Arhgef10 knockout mice Dai-Hua Lu1, Hsiao-Mei Liao2, Chia-Hsiang Chen3,4, Huang-Ju Tu1, Houng-Chi Liou1, Susan Shur-Fen Gau2* and Wen-Mei Fu1* Abstract Background: Impaired social interaction is one of the essential features of autism spectrum disorder (ASD). Our previous copy number variation (CNV) study discovered a novel deleted region associated with ASD. One of the genes included in the deleted region is ARHGEF10. A missense mutation of ARHGEF10 has been reported to be one of the contributing factors in several diseases of the central nervous system. However, the relationship between the loss of ARHGEF10 and the clinical symptoms of ASD is unclear. Methods: We generated Arhgef10 knockout mice as a model of ASD and characterized the social behavior and the biochemical changes in the brains of the knockout mice. Results: Compared with their wild-type littermates, the Arhgef10-depleted mice showed social interaction impairment, hyperactivity, and decreased depression-like and anxiety-like behavior. Behavioral measures of learning in the Morris water maze were not affected by Arhgef10 deficiency. Moreover, neurotransmitters including serotonin, norepinephrine, and dopamine were significantly increased in different brain regions of the Arhgef10 knockout mice. In addition, monoamine oxidase A (MAO-A) decreased in several brain regions. Conclusions: These results suggest that ARHGEF10 is a candidate risk gene for ASD and that the Arhgef10 knockout model could be a tool for studying the mechanisms of neurotransmission in ASD. Trial registration: Animal studies were approved by the Institutional Animal Care and Use Committee of National Taiwan University (IACUC 20150023). Registered 1 August 2015. Keywords: ARHGEF10, Autism spectrum disorder, Social deficits, Serotonin, Norepinephrine Background polygenic disease [6]. However, the genetic underpinnings Autism spectrum disorder (ASD) is a common neurode- of ASD remain unclear, which impedes understanding of velopmental disorder marked by lifetime social functional the disease pathology and the search for treatments. impairment [1, 2]. The essential features of ASD include Our previous study identified two novel chromosomal impairment in reciprocal social communication; a deficit deletions in two unrelated ASD patients [7]. One of the in communication ability; and restricted, repetitive behav- deletions, which spans 8p23.3-pter, contains three ior and interests [1]. ASD occurs at a higher incidence in genes––DLGAP2, CLN8, and ARHGEF10––that may be males than females, with a common consensus ratio of 4:1 relevant to neurological functions. The functional loss of [3]. The prevalence of ASD has been estimated at approxi- these genes might contribute to the clinical symptoms of mately 1.5% and has increased dramatically over the past ASD [8, 9]. In this study, we target the gene ARHGEF10 few decades [4, 5]. Various genetic studies have provided to further investigate the impacts of its functional loss. convincing evidence that ASD is a complex and highly ARHGEF10, as a rho guanine nucleotide exchange factor (GEF), regulates rho GTPases by catalyzing the exchange * Correspondence: [email protected]; [email protected] of G-protein-bound GDP for GTP. There are over 60 2Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei, Taiwan rho GEFs identified in the human genome. However, few 1Pharmacological Institute, College of Medicine, National Taiwan University, have been functionally evaluated in animal models. The Taipei, Taiwan Thr109lle mutation of the rho GEF 10 (ARHGEF10) Full list of author information is available at the end of the article © The Author(s). 2018 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. Lu et al. Molecular Autism (2018) 9:11 Page 2 of 14 gene was found in a family of patients with slow nerve critical role in social behavior but also participates in the conduction and thinly myelinated peripheral nerves [10]. regulation of neurotransmitters. In addition to its possible role in the myelination process, the single nucleotide polymorphism of ARH- Methods GEF10 has also been reported to be associated with Animals and experimental design schizophrenia [11]. GEFs are the main regulators that Arhgef10 knockout mice were generated by the deletion facilitate the activation of rho GTPases by converting of exon 4 and exon 5 using the Cre-loxP site-specific them from the GDP-bound state to an active GTP- knockout according to a method described previously bound state. Rho GTPases have been widely studied in [8]. The strategy for generating Arhgef10 knockout mice neuronal development and neuronal diseases [12]. Given is shown in Additional file 1: Figure S1. In brief, exons 4 the importance of rho GTPases in the nervous system, and 5 of ARHGEF10 in embryonic stem cells from the dysregulation of rho GEFs is believed to be involved in 129S1/Sv mouse strain were replaced with a construct neurodevelopmental diseases. For example, a mutation containing ARHGEF10 exons 4 and 5 interposed of ARHGEF6 has been associated with intellectual dis- between two loxP sites and a NEO cassette to produce ability [13]. These findings encouraged us to further Cre-induced homologous recombination. Arhgef10 study the possible role of ARHGEF10 in ASD. knockout mice were then backcrossed for at least ten To explore the role of ARHGEF10 in ASD and to generations with C57BL/6J mice. The Arhgef10 knockout further understand the impacts of ARHGEF10 deletion mice used in this study were produced by heterozygous on the molecular mechanisms of neurological function, breeding pairs in a trio breeding format. All mice were we generated an Arhgef10 knockout mouse model by de- kept under standard temperature, humidity, and timed leting exons 4 and 5 of the mouse Arhgef10 gene. The lighting conditions and provided with mouse chow and mice without the Arhgef10 gene have normal fertility water ad libitum. Arhgef10 knockout mice and their and body weight gain. The Arhgef10 knockout mice were control littermates were housed in groups (3–5 mice then subjected to tests measuring their startle responses, per cage). motor behavior, spatial learning, and social behavior. Be- Behavioral tests were conducted during the light cycle havioral changes may reflect a disturbance of neuro- (07:00–19:00) in a testing room next to the mouse hous- transmission. Previous studies have shown that the ing room. Eight- to twelve-week-old male Arhgef10 KO dysregulation of biosynthesis, transportation, and deg- mice and their WT littermates were used in this study. radation of neurotransmitters could be associated with All behavioral tests were carried out with male mice. ASD [14]. In addition, genetic association studies have Animals in the same littermates were used in the same identified some genes that encode the transporters or behavioral test, except for the plus maze, open field, and degradation enzymes of neurotransmitters as contribut- water maze tests. In these three tests, the intervals ing to the risk of ASD [15]. For instance, monoamine between tests were approximately 7 days each. The open oxidase A (MAO-A), an enzyme that is important for field test was conducted first, followed by the plus maze the metabolism of serotonin and norepinephrine, is as- and then the water maze. Mice were transported to the sociated with ASD in a population-based study [15]. An- testing room and habituated for 30 min before behav- other population-based association study also indicates ioral testing. All animal experiments were approved by that changes in monoamine oxidase B (MAO-B) activity the Ethical Committee for the Animal Research of increase ASD risk in males [16]. Based on those findings, National Taiwan University. we evaluated the levels of monoamines in Arhgef10 knockout mice to understand the possible roles of Arh- Sample preparation gef10 in the serotonergic system. Mice were anesthetized with isoflurane and then decapi- In this study, we found that Arhgef10 knockout mice tated. For Nissl staining, the brains of 10-week-old mice exhibited impaired social interaction and social recogni- were removed after saline perfusion and post-fixed with tion, representing the key characteristics of ASD. In 4% paraformaldehyde (PFA) overnight. Tissue samples addition, Arhgef10 knockout mice also displayed reduced for Western blots and high-performance liquid chroma- anxiety-like and depression-like behaviors and increased tography (HPLC) were prepared by dissecting four parts locomotor activity. Additionally, serotonin, norepineph- from the fresh brains of 10- to 12-week-old mice: frontal rine, and dopamine were elevated in the frontal cortex, cortex, striatum, hippocampus, and amygdala. These tis- hippocampus, and amygdala in Arhgef10 knockout mice. sues were then weighed and homogenized. Moreover, MAO-A, a molecule that regulates the levels
Recommended publications
  • Broad Poster Vivek
    A novel computational method for finding regions with copy number abnormalities in cancer cells Vivek, Manuel Garber, and Mike Zody Broad Institute of MIT and Harvard, Cambridge, MA, USA Introduction Results Cancer can result from the over expression of oncogenes, genes which control and regulate cell growth. Sometimes oncogenes increase in 1 2 3 activity due to a specific genetic mutation called a translocation (Fig 1). SMAD4 – a gene known to be deleted in pancreatic COX10 – a gene deleted in cytochrome c oxidase AK001392 – a hereditary prostate cancer protein This translocation allows the oncogene to remain as active as its paired carcinoma deficiency, known to be related to cell proliferation gene. Amplification of this mutation can occur, thereby creating the proper conditions for uncontrolled cell growth; consequently, each Results from Analysis Program Results from Analysis Program Results from Analysis Program component of the translocation will amplify in similar quantities. In this mutation, the chromosomal region containing the oncogene displaces to Region 1 Region 2 R2 Region 1 Region 2 R2 Region 1 Region 2 R2 a region on another chromosome containing a gene that is expressed Chr18:47044749-47311978 Chr17:13930739-14654741 0.499070821478475 Chr17:13930739-14654741 Chr18:26861790-27072166 0.47355172850856 Chr17:12542326-13930738 Chr8:1789292-1801984 0.406208680312004 frequently. Actual region containing gene Actual region containing gene Actual region containing gene chr18: 45,842,214 - 48,514,513 chr17: 13,966,862 - 14,068,461 chr17: 12,542,326 - 13,930,738 Fig 1. Two chromosomal regions (abcdef and ghijk) are translocating to create two new regions (abckl and ghijedf).
    [Show full text]
  • Gene Ontology Functional Annotations and Pleiotropy
    Network based analysis of genetic disease associations Sarah Gilman Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy under the Executive Committee of the Graduate School of Arts and Sciences COLUMBIA UNIVERSITY 2014 © 2013 Sarah Gilman All Rights Reserved ABSTRACT Network based analysis of genetic disease associations Sarah Gilman Despite extensive efforts and many promising early findings, genome-wide association studies have explained only a small fraction of the genetic factors contributing to common human diseases. There are many theories about where this “missing heritability” might lie, but increasingly the prevailing view is that common variants, the target of GWAS, are not solely responsible for susceptibility to common diseases and a substantial portion of human disease risk will be found among rare variants. Relatively new, such variants have not been subject to purifying selection, and therefore may be particularly pertinent for neuropsychiatric disorders and other diseases with greatly reduced fecundity. Recently, several researchers have made great progress towards uncovering the genetics behind autism and schizophrenia. By sequencing families, they have found hundreds of de novo variants occurring only in affected individuals, both large structural copy number variants and single nucleotide variants. Despite studying large cohorts there has been little recurrence among the genes implicated suggesting that many hundreds of genes may underlie these complex phenotypes. The question
    [Show full text]
  • An ARHGEF10 Deletion Is Highly Associated with a Juvenile-Onset Inherited Polyneuropathy in Leonberger and Saint Bernard Dogs
    An ARHGEF10 Deletion Is Highly Associated with a Juvenile-Onset Inherited Polyneuropathy in Leonberger and Saint Bernard Dogs Kari J. Ekenstedt1.*, Doreen Becker2., Katie M. Minor1, G. Diane Shelton3, Edward E. Patterson4, Tim Bley5, Anna Oevermann6, Thomas Bilzer7, Tosso Leeb2, Cord Dro¨ gemu¨ ller2", James R. Mickelson1" 1 Department of Veterinary and Biomedical Sciences, College of Veterinary Medicine, University of Minnesota, St. Paul, Minnesota, United States of America, 2 Institute of Genetics, Vetsuisse Faculty, University of Bern, Bern, Switzerland, 3 Comparative Neuromuscular Laboratory, Department of Pathology, University of California San Diego, La Jolla, California, United States of America, 4 Department of Veterinary Clinical Sciences, College of Veterinary Medicine, University of Minnesota, St. Paul, Minnesota, United States of America, 5 Small Animal Clinic, Neruology, Vetsuisse Faculty, University of Bern, Bern, Switzerland, 6 Neurocenter, Department of Clinical Research and Veterinary Public Health, Vetsuisse Faculty, University of Bern, Bern, Switzerland, 7 Institute of Neuropathology, Heinrich-Heine-University Du¨sseldorf, Du¨sseldorf, Germany Abstract An inherited polyneuropathy (PN) observed in Leonberger dogs has clinical similarities to a genetically heterogeneous group of peripheral neuropathies termed Charcot-Marie-Tooth (CMT) disease in humans. The Leonberger disorder is a severe, juvenile- onset, chronic, progressive, and mixed PN, characterized by exercise intolerance, gait abnormalities and muscle atrophy of the pelvic limbs, as well as inspiratory stridor and dyspnea. We mapped a PN locus in Leonbergers to a 250 kb region on canine 210 chromosome 16 (Praw =1.16610 ,Pgenome, corrected = 0.006) utilizing a high-density SNP array. Within this interval is the ARHGEF10 gene, a member of the rho family of GTPases known to be involved in neuronal growth and axonal migration, and implicated in human hypomyelination.
    [Show full text]
  • 8P23.2-Pter Microdeletions: Seven New Cases Narrowing the Candidate Region and Review of the Literature
    G C A T T A C G G C A T genes Article 8p23.2-pter Microdeletions: Seven New Cases Narrowing the Candidate Region and Review of the Literature Ilaria Catusi 1,* , Maria Garzo 1 , Anna Paola Capra 2 , Silvana Briuglia 2 , Chiara Baldo 3 , Maria Paola Canevini 4 , Rachele Cantone 5, Flaviana Elia 6, Francesca Forzano 7, Ornella Galesi 8, Enrico Grosso 5, Michela Malacarne 3, Angela Peron 4,9,10 , Corrado Romano 11 , Monica Saccani 4 , Lidia Larizza 1 and Maria Paola Recalcati 1 1 Istituto Auxologico Italiano, IRCCS, Laboratory of Medical Cytogenetics and Molecular Genetics, 20145 Milan, Italy; [email protected] (M.G.); [email protected] (L.L.); [email protected] (M.P.R.) 2 Department of Biomedical, Dental, Morphological and Functional Imaging Sciences, University of Messina, 98100 Messina, Italy; [email protected] (A.P.C.); [email protected] (S.B.) 3 UOC Laboratorio di Genetica Umana, IRCCS Istituto Giannina Gaslini, 16147 Genova, Italy; [email protected] (C.B.); [email protected] (M.M.) 4 Child Neuropsychiatry Unit—Epilepsy Center, Department of Health Sciences, ASST Santi Paolo e Carlo, San Paolo Hospital, Università Degli Studi di Milano, 20142 Milan, Italy; [email protected] (M.P.C.); [email protected] (A.P.); [email protected] (M.S.) 5 Medical Genetics Unit, Città della Salute e della Scienza University Hospital, 10126 Turin, Italy; [email protected] (R.C.); [email protected] (E.G.) 6 Unit of Psychology, Oasi Research Institute-IRCCS,
    [Show full text]
  • Supplementary Tables S1-S3
    Supplementary Table S1: Real time RT-PCR primers COX-2 Forward 5’- CCACTTCAAGGGAGTCTGGA -3’ Reverse 5’- AAGGGCCCTGGTGTAGTAGG -3’ Wnt5a Forward 5’- TGAATAACCCTGTTCAGATGTCA -3’ Reverse 5’- TGTACTGCATGTGGTCCTGA -3’ Spp1 Forward 5'- GACCCATCTCAGAAGCAGAA -3' Reverse 5'- TTCGTCAGATTCATCCGAGT -3' CUGBP2 Forward 5’- ATGCAACAGCTCAACACTGC -3’ Reverse 5’- CAGCGTTGCCAGATTCTGTA -3’ Supplementary Table S2: Genes synergistically regulated by oncogenic Ras and TGF-β AU-rich probe_id Gene Name Gene Symbol element Fold change RasV12 + TGF-β RasV12 TGF-β 1368519_at serine (or cysteine) peptidase inhibitor, clade E, member 1 Serpine1 ARE 42.22 5.53 75.28 1373000_at sushi-repeat-containing protein, X-linked 2 (predicted) Srpx2 19.24 25.59 73.63 1383486_at Transcribed locus --- ARE 5.93 27.94 52.85 1367581_a_at secreted phosphoprotein 1 Spp1 2.46 19.28 49.76 1368359_a_at VGF nerve growth factor inducible Vgf 3.11 4.61 48.10 1392618_at Transcribed locus --- ARE 3.48 24.30 45.76 1398302_at prolactin-like protein F Prlpf ARE 1.39 3.29 45.23 1392264_s_at serine (or cysteine) peptidase inhibitor, clade E, member 1 Serpine1 ARE 24.92 3.67 40.09 1391022_at laminin, beta 3 Lamb3 2.13 3.31 38.15 1384605_at Transcribed locus --- 2.94 14.57 37.91 1367973_at chemokine (C-C motif) ligand 2 Ccl2 ARE 5.47 17.28 37.90 1369249_at progressive ankylosis homolog (mouse) Ank ARE 3.12 8.33 33.58 1398479_at ryanodine receptor 3 Ryr3 ARE 1.42 9.28 29.65 1371194_at tumor necrosis factor alpha induced protein 6 Tnfaip6 ARE 2.95 7.90 29.24 1386344_at Progressive ankylosis homolog (mouse)
    [Show full text]
  • A GJA9 Frameshift Variant Is Associated with Polyneuropathy in Leonberger Dogs Doreen Becker1†, Katie M
    Becker et al. BMC Genomics (2017) 18:662 DOI 10.1186/s12864-017-4081-z RESEARCHARTICLE Open Access A GJA9 frameshift variant is associated with polyneuropathy in Leonberger dogs Doreen Becker1†, Katie M. Minor2†, Anna Letko1†, Kari J. Ekenstedt2,3, Vidhya Jagannathan1, Tosso Leeb1, G. Diane Shelton4, James R. Mickelson2† and Cord Drögemüller1*† Abstract Background: Many inherited polyneuropathies (PN) observed in dogs have clinical similarities to the genetically heterogeneous group of Charcot-Marie-Tooth (CMT) peripheral neuropathies in humans. The canine disorders collectively show a variable expression of progressive clinical signs and ages of onset, and different breed prevalences. Previously in the Leonberger breed, a variant highly associated with a juvenile-onset PN was identified in the canine orthologue of a CMT-associated gene. As this deletion in ARHGEF10 (termed LPN1) does not explain all cases, PN in this breed may encompass variants in several genes with similar clinical and histopathological features. Results: A genome-wide comparison of 173 k SNP genotypes of 176 cases, excluding dogs homozygous for the ARHGEF10 variant, and 138 controls, was carried out to detect further PN-associated variants. A single suggestive significant association signal on CFA15 was found. The genome of a PN-affected Leonberger homozygous for the associated haplotype was sequenced and variants in the 7.7 Mb sized critical interval were identified. These variants were filtered against a database of variants observed in 202 genomes of various dog breeds and 3 wolves, and 6 private variants in protein-coding genes, all in complete linkage disequilibrium, plus 92 non-coding variants were revealed.
    [Show full text]
  • Missing-Value Imputation and In-Silico Region Detection for Spatially Resolved
    bioRxiv preprint doi: https://doi.org/10.1101/2021.05.14.443446; this version posted May 17, 2021. 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. Missing-value imputation and in-silico region detection for spatially resolved transcriptomics Linhua Wang1, Zhandong Liu 2, 3* 1. Graduate Program in Quantitative and Computational Biosciences, Baylor College of Medicine, Houston, USA 2. Jan and Dan Duncan Neurological Research Institute at Texas Children’s Hospital, Houston, USA 3. Department of Pediatrics, Baylor College of Medicine, Houston, USA * Corresponding author: [email protected] bioRxiv preprint doi: https://doi.org/10.1101/2021.05.14.443446; this version posted May 17, 2021. 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 We are pleased to introduce a first-of-its-kind algorithm that combines in-silico region detection and spatial gene-expression imputation. Spatial transcriptomics by 10X Visium (ST) is a new technology used to dissect gene and cell spatial organization. Analyzing this new type of data has two main challenges: automatically annotating the major tissue regions and excessive zero values of gene-expression due to high dropout rates. We developed a computational tool— MIST—that addresses both challenges by automatically identifying tissue regions and estimating missing gene-expression values for individual tissue regions.
    [Show full text]
  • Genomic Analysis of Allele-Specific Expression in the Mouse Liver
    bioRxiv preprint doi: https://doi.org/10.1101/024588; this version posted August 13, 2015. 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 TITLE: Genomic analysis of allele-specific expression in the mouse liver Ashutosh K. Pandey* and Robert W. Williams* *Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, TN, 38103 bioRxiv preprint doi: https://doi.org/10.1101/024588; this version posted August 13, 2015. 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. 2 RUNNING TITLE: Allele-specific expression in liver KEYWORDS: BXD, DBA/2J, haplotype-aware alignment, purifying selection, cis eQTL CORRESPONDING AUTHOR: Ashutosh K. Pandey 855 Monroe Avenue, Suite 512 Memphis, TN, 38163 Phone: 901-448-1761 Email addresses: [email protected] bioRxiv preprint doi: https://doi.org/10.1101/024588; this version posted August 13, 2015. 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. 3 ABSTRACT Genetic differences in gene expression contribute significantly to phenotypic diversity and differences in disease susceptibility. In fact, the great majority of causal variants highlighted by genome-wide association are in non-coding regions that modulate expression. In order to quantify the extent of allelic differences in expression, we analyzed liver transcriptomes of isogenic F1 hybrid mice. Allele-specific expression (ASE) effects are pervasive and are detected in over 50% of assayed genes.
    [Show full text]
  • Content Based Search in Gene Expression Databases and a Meta-Analysis of Host Responses to Infection
    Content Based Search in Gene Expression Databases and a Meta-analysis of Host Responses to Infection A Thesis Submitted to the Faculty of Drexel University by Francis X. Bell in partial fulfillment of the requirements for the degree of Doctor of Philosophy November 2015 c Copyright 2015 Francis X. Bell. All Rights Reserved. ii Acknowledgments I would like to acknowledge and thank my advisor, Dr. Ahmet Sacan. Without his advice, support, and patience I would not have been able to accomplish all that I have. I would also like to thank my committee members and the Biomed Faculty that have guided me. I would like to give a special thanks for the members of the bioinformatics lab, in particular the members of the Sacan lab: Rehman Qureshi, Daisy Heng Yang, April Chunyu Zhao, and Yiqian Zhou. Thank you for creating a pleasant and friendly environment in the lab. I give the members of my family my sincerest gratitude for all that they have done for me. I cannot begin to repay my parents for their sacrifices. I am eternally grateful for everything they have done. The support of my sisters and their encouragement gave me the strength to persevere to the end. iii Table of Contents LIST OF TABLES.......................................................................... vii LIST OF FIGURES ........................................................................ xiv ABSTRACT ................................................................................ xvii 1. A BRIEF INTRODUCTION TO GENE EXPRESSION............................. 1 1.1 Central Dogma of Molecular Biology........................................... 1 1.1.1 Basic Transfers .......................................................... 1 1.1.2 Uncommon Transfers ................................................... 3 1.2 Gene Expression ................................................................. 4 1.2.1 Estimating Gene Expression ............................................ 4 1.2.2 DNA Microarrays ......................................................
    [Show full text]
  • Genetic Variants in the Genes Encoding Rho Gtpases and Related Regulators Predict Cutaneous Melanoma-Specific Survival
    View metadata, citation and similar papers at core.ac.uk brought to you by CORE HHS Public Access provided by IUPUIScholarWorks Author manuscript Author ManuscriptAuthor Manuscript Author Int J Cancer Manuscript Author . Author manuscript; Manuscript Author available in PMC 2018 August 15. Published in final edited form as: Int J Cancer. 2017 August 15; 141(4): 721–730. doi:10.1002/ijc.30785. Genetic Variants in the Genes Encoding Rho GTPases and Related Regulators Predict Cutaneous Melanoma-specific Survival Shun Liu1,2,3,12, Yanru Wang2,3,12, William Xue2,3, Hongliang Liu2,3, Yinghui Xu2,3,4, Qiong Shi2,3,5, Wenting Wu6, Dakai Zhu8, Christopher I. Amos8, Shenying Fang9, Jeffrey E. Lee9, Terry Hyslop2,10, Yi Li11, Jiali Han6,7, and Qingyi Wei1,2 1Department of Epidemiology, School of Public Health, Guangxi Medical University, Nanning, Guangxi 530021, China 2Duke Cancer Institute, Duke University Medical Center, Durham, NC 27710, USA 3Department of Medicine, Duke University School of Medicine, Durham, NC 27710, USA 4Cancer Center, The First Hospital of Jilin University, Changchun, Jilin 130021, China 5Department of Dermatology, Xijing Hospital, Xi’an, Shanxi 710032, China 6Department of Epidemiology, Fairbanks School of Public Health, and Melvin and Bren Simon Cancer Center, Indiana University, Indianapolis, IN 46202, USA 7Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, MA 02115, USA 8Community and Family Medicine, Geisel School of Medicine, Dartmouth College, Hanover, NH 03755, USA 9Department of Surgical Oncology, The University of Texas M. D. Anderson Cancer Center, Houston, TX 77030, USA 10Department of Biostatistics and Bioinformatics, Duke University, Durham, NC 27710, USA 11Department of Biostatistics, University of Michigan, Ann Arbor, MI 48109, USA Abstract Rho GTPases control cell division, motility, adhesion, vesicular trafficking and phagocytosis, which may affect progression and/or prognosis of cancers.
    [Show full text]
  • A Yeast-Based Model for Hereditary Motor and Sensory Neuropathies: a Simple System for Complex, Heterogeneous Diseases
    International Journal of Molecular Sciences Review A Yeast-Based Model for Hereditary Motor and Sensory Neuropathies: A Simple System for Complex, Heterogeneous Diseases Weronika Rzepnikowska 1, Joanna Kaminska 2 , Dagmara Kabzi ´nska 1 , Katarzyna Bini˛eda 1 and Andrzej Kocha ´nski 1,* 1 Neuromuscular Unit, Mossakowski Medical Research Centre Polish Academy of Sciences, 02-106 Warsaw, Poland; [email protected] (W.R.); [email protected] (D.K.); [email protected] (K.B.) 2 Institute of Biochemistry and Biophysics Polish Academy of Sciences, 02-106 Warsaw, Poland; [email protected] * Correspondence: [email protected] Received: 19 May 2020; Accepted: 15 June 2020; Published: 16 June 2020 Abstract: Charcot–Marie–Tooth (CMT) disease encompasses a group of rare disorders that are characterized by similar clinical manifestations and a high genetic heterogeneity. Such excessive diversity presents many problems. Firstly, it makes a proper genetic diagnosis much more difficult and, even when using the most advanced tools, does not guarantee that the cause of the disease will be revealed. Secondly, the molecular mechanisms underlying the observed symptoms are extremely diverse and are probably different for most of the disease subtypes. Finally, there is no possibility of finding one efficient cure for all, or even the majority of CMT diseases. Every subtype of CMT needs an individual approach backed up by its own research field. Thus, it is little surprise that our knowledge of CMT disease as a whole is selective and therapeutic approaches are limited. There is an urgent need to develop new CMT models to fill the gaps.
    [Show full text]
  • A Genome-Wide Scan of Cleft Lip Triads Identifies Parent
    F1000Research 2019, 8:960 Last updated: 03 AUG 2021 RESEARCH ARTICLE A genome-wide scan of cleft lip triads identifies parent- of-origin interaction effects between ANK3 and maternal smoking, and between ARHGEF10 and alcohol consumption [version 2; peer review: 2 approved] Øystein Ariansen Haaland 1, Julia Romanowska1,2, Miriam Gjerdevik1,3, Rolv Terje Lie1,4, Håkon Kristian Gjessing 1,4, Astanand Jugessur1,3,4 1Department of Global Public Health and Primary Care, University of Bergen, Bergen, N-5020, Norway 2Computational Biology Unit, University of Bergen, Bergen, N-5020, Norway 3Department of Genetics and Bioinformatics, Norwegian Institute of Public Health, Skøyen, Oslo, Skøyen, N-0213, Norway 4Centre for Fertility and Health (CeFH), Norwegian Institute of Public Health, Skøyen, Oslo, N-0213, Norway v2 First published: 24 Jun 2019, 8:960 Open Peer Review https://doi.org/10.12688/f1000research.19571.1 Latest published: 19 Jul 2019, 8:960 https://doi.org/10.12688/f1000research.19571.2 Reviewer Status Invited Reviewers Abstract Background: Although both genetic and environmental factors have 1 2 been reported to influence the risk of isolated cleft lip with or without cleft palate (CL/P), the exact mechanisms behind CL/P are still largely version 2 unaccounted for. We recently developed new methods to identify (revision) report parent-of-origin (PoO) interactions with environmental exposures 19 Jul 2019 (PoOxE) and now apply them to data from a genome-wide association study (GWAS) of families with children born with isolated CL/P. version 1 Methods: Genotypes from 1594 complete triads and 314 dyads (1908 24 Jun 2019 report report nuclear families in total) with CL/P were available for the current analyses.
    [Show full text]