Subspecific Origin and Haplotype Diversity in the Laboratory Mouse
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Homologs of Human Dengue-Resistance Genes, FKBP1B and ATCAY, Confer Antiviral Resistance in Aedes Aegypti Mosquitoes
insects Article Homologs of Human Dengue-Resistance Genes, FKBP1B and ATCAY, Confer Antiviral Resistance in Aedes aegypti Mosquitoes Seokyoung Kang 1,*,†, Dongyoung Shin 2,†, Derrick K. Mathias 2, Berlin Londono-Renteria 3 , Mi Young Noh 4, Tonya M. Colpitts 5, Rhoel R. Dinglasan 1, Yeon Soo Han 4 and Young S. Hong 6,* 1 Emerging Pathogens Institute and the Department of Infectious Diseases and Immunology, College of Veterinary Medicine, University of Florida, Gainesville, FL 32611, USA; [email protected]fl.edu 2 Florida Medical Entomology Laboratory, Department of Nematology and Entomology, Institute of Food and Agricultural Sciences, University of Florida, Vero Beach, FL 32962, USA; dshin@ufl.edu (D.S.); d.mathias@ufl.edu (D.K.M.) 3 Department of Entomology, College of Agriculture, Kansas State University, Manhattan, KS 66506, USA; [email protected] 4 Department of Agricultural Biology, College of Agriculture and Life Sciences, Chonnam National University, Gwang-ju 500-757, Korea; [email protected] (M.Y.N.); [email protected] (Y.S.H.) 5 Department of Microbiology, Boston University School of Medicine, National Emerging Infectious Diseases Laboratories, Boston, MA 02118, USA; [email protected] 6 Access Bio, Inc., Somerset, NJ 08873, USA * Correspondence: skang1@ufl.edu (S.K.); [email protected] (Y.S.H.) † These authors contributed equally to this work. Received: 1 September 2018; Accepted: 29 January 2019; Published: 2 February 2019 Abstract: Dengue virus (DENV) is transmitted by mosquitoes and is a major public health concern. The study of innate mosquito defense mechanisms against DENV have revealed crucial roles for the Toll, Imd, JAK-STAT, and RNAi pathways in mediating DENV in the mosquito. -
Genomic Copy Number Variation in Mus Musculus Locke Et Al
Genomic copy number variation in Mus musculus Locke et al. Locke et al. BMC Genomics (2015) 16:497 DOI 10.1186/s12864-015-1713-z Locke et al. BMC Genomics (2015) 16:497 DOI 10.1186/s12864-015-1713-z RESEARCH ARTICLE Open Access Genomic copy number variation in Mus musculus M Elizabeth O Locke1, Maja Milojevic2, Susan T Eitutis2,NishaPatel2,AndreaEWishart2, Mark Daley1,2 and Kathleen A Hill1,2* Abstract Background: Copy number variation is an important dimension of genetic diversity and has implications in development and disease. As an important model organism, the mouse is a prime candidate for copy number variant (CNV) characterization, but this has yet to be completed for a large sample size. Here we report CNV analysis of publicly available, high-density microarray data files for 351 mouse tail samples, including 290 mice that had not been characterized for CNVs previously. Results: We found 9634 putative autosomal CNVs across the samples affecting 6.87 % of the mouse reference genome. We find significant differences in the degree of CNV uniqueness (single sample occurrence) and the nature of CNV-gene overlap between wild-caught mice and classical laboratory strains. CNV-gene overlap was associated with lipid metabolism, pheromone response and olfaction compared to immunity, carbohydrate metabolism and amino-acid metabolism for wild-caught mice and classical laboratory strains, respectively. Using two subspecies of wild-caught Mus musculus, we identified putative CNVs unique to those subspecies and show this diversity is better captured by wild-derived laboratory strains than by the classical laboratory strains. A total of 9 genic copy number variable regions (CNVRs) were selected for experimental confirmation by droplet digital PCR (ddPCR). -
A Novel Binding Partner of the NKX3-1 Homeodomain Protein in Prostate Cancer Cells
FLJ22318: A Novel Binding Partner of the NKX3-1 Homeodomain Protein in Prostate Cancer Cells Linda Fiona Dawson B.Sc. (Hons) This thesis is presented for the degree of Doctor of Philosophy of Murdoch University, October 2006 School of Biological Sciences & Biotechnology, Murdoch University, Perth, Western Australia I declare that this thesis is my own account of my research and contains as its main content work which has not previously been submitted for a degree at any tertiary education institution. .................................... Linda Fiona Dawson i Thesis Summary Prostate cancer is a frequently diagnosed malignancy which ranges from an indolent asymptomatic tumour to an aggressive, rapidly lethal systemic disease. Determination of chromosomal, genetic and epigenetic alterations associated with prostate carcinogenesis have led to the characterisation of functional consequences of these alterations, thereby elucidating pathways contributing to malignant growth that can be utilised clinically and therapeutically. FLJ22318 is a novel hypothetical protein that was identified by yeast two-hybrid analysis to interact with the prostatic homeodomain protein, NKX3-1. Expression of NKX3-1 is largely restricted to epithelial cells of the adult prostate where it is involved in maintaining the prostatic phenotype, while NKX3-1 expression is reduced or absent in prostate tumours. In contrast, FLJ22318 expression is documented in cDNA libraries derived from a variety of human adult and foetal tissues including the prostate, suggesting that it may be ubiquitously expressed and that it potentially interacts with a number of proteins in addition to NKX3-1. FLJ22318 expression is undocumented in human prostate tumours. Bioinformatic analyses have postulated multiple FLJ22318 mRNA transcripts however the proposed open reading frames encoded by these transcripts predict the FLJ22318 protein to contain three strong protein-protein interaction domains, a Lissencephaly type-1-like homology (LisH), a C-terminal to LisH (CTLH) and a CT11-RanBPM (CRA) domain. -
Transcriptional Alterations During Mammary Tumor Progression in Mice
TRANSCRIPTIONAL ALTERATIONS DURING MAMMARY TUMOR PROGRESSION IN MICE AND HUMANS By Karen Fancher B.S. Hartwick College, 1995 A THESIS Submitted in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy (Interdisciplinary in Functional Genomics and in Biomedical Sciences) The Graduate School The University of Maine December, 2008 Advisory Committee: Barbara B. Knowles Ph.D., Professor, The Jackson Laboratory, Co-Advisor Gary A. Churchill Ph.D., Professor, The Jackson Laboratory, Co-Advisor Keith W. Hutchison Ph.D., Professor of Biochemistry and Molecular Biology, The University of Maine, Thesis Committee Chair M. Kate Beard-Tisdale Ph.D., Professor of Spatial Information Science and Engineering, The University of Maine Shaoguang Li M.D., Ph.D., Associate Professor, The Jackson Laboratory LIBRARY RIGHTS STATEMENT In presenting this thesis in partial fulfillment of the requirements for an advanced degree at The University of Maine, I agree that the Library shall make it freely available for inspection. I further agree that permission for "fair use" copying of this thesis for scholarly purposes may be granted by the Librarian. It is understood that any copying or publication of this thesis for financial gain shall not be allowed without my written permission. Signature: Date: TRANSCRIPTIONAL ALTERATIONS DURING MAMMARY TUMOR PROGRESSION IN MICE AND HUMANS By Karen Fancher Thesis Co-Advisors: Dr. Barbara B. Knowles and Dr. Gary A. Churchill An Abstract of the Thesis Presented in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy (Interdisciplinary in Functional Genomics and in Biomedical Sciences) December, 2008 Family history, reproductive factors, hormonal exposures, and subjective immunohisto- chemical evaluations of in situ lesions, and to a lesser extent age, remain the best clinical predictors of an individual’s risk of developing breast cancer. -
Thèse Numérique
Université de Montréal Exploration génomique de la déficience intellectuelle par José-Mario Capo-chichi Département de biochimie Faculté de médecine Thèse présentée à la Faculté des Études Supérieures en vue de l‟obtention du grade de philosophiæ doctor (Ph.D.) en Biochimie option Génomique Humaine Août, 2014 © José-Mario Capo-chichi, 2014 Université de Montréal Faculté des études supérieures Cette thèse intitulée : Exploration génomique de la déficience intellectuelle présentée par : José-Mario Capo-chichi a été évaluée par un jury composé des personnes suivantes : Dr Muriel Aubry, président-rapporteur Dr Jacques L. Michaud, directeur de recherche Dr Mark E. Samuels, co-directeur de recherche Dr Thierry Alquier, membre du jury Dr Yannis Trakadis, examinateur externe Dr Jacques Thibodeau, représentant du doyen i RÉSUMÉ La déficience intellectuelle (DI) définit un groupe de conditions génétiquement hétérogènes caractérisées par l‟apparition de troubles cognitifs précoces chez l‟enfant. Elle affecte 1-3% de la population dans les pays industrialisés. La prévalence de la DI est beaucoup plus élevée ailleurs dans le monde, en raison de facteurs sociodémographiques comme le manque de ressources dans le système de santé, la pauvreté et la consanguinité. Des facteurs non-génétiques sont mis en cause dans l‟étiologie de la DI ; on estime qu‟environ 25% des cas de DI sont d‟origine génétique. Traditionnellement, les bases moléculaires de la DI ont été investiguées par des analyses cytogénétiques, les approches de cartographie génétique et le séquençage de gènes candidats ; ces techniques de génétiques classiques sont encore mises à rude épreuve dans l‟analyse de maladies complexes comme la DI. -
Felipe Fidalgo De Carvalho
INVESTIGAÇÃO DE FATORES GENÉTICOS NA ETIOLOGIA DA SÍNDROME DO MELANOMA FAMILIAL: COPY NUMBER VARIATIONS (CNV) E SEQUENCIAMENTO DE EXOMA FELIPE FIDALGO DE CARVALHO Tese apresentada à Fundação Antônio Prudente para a obtenção do título de Doutor em Ciências Área de Concentração: Oncologia Orientadora: Dra. Ana Cristina Victorino Krepischi Co-orientadora: Dra. Dirce Maria Carraro São Paulo 2016 FICHA CATALOGRÁFICA Preparada pela Biblioteca da Fundação Antônio Prudente Carvalho, Felipe Fidalgo de Investigação de fatores genéticos na etiologia da síndrome do melanoma familial: copy number variations (CNV) e sequenciamento de exoma / Felipe Fidalgo de Carvalho – São Paulo 2016. 112p. Tese (Doutorado)-Fundação Antônio Prudente. Curso de Pós-Graduação em Ciências - Área de concentração: Oncologia. Orientadora: Ana Cristina Victorino Krepischi Descritores: 1. MELANOMA/genética. 2. SEQUENCIAMENTO DE NUCLEOTÍDEOS EM LARGA ESCALA. 3. VARIAÇÕES DO NÚMERO DE CÓPIAS DE DNA. 4. HEREDITARIEDADE/genética. 5. EXOMA. DEDICATÓRIA Esse trabalho é dedicado a minha mãe e a minha avó que sempre me deram suporte, força e amor em todos os momentos da minha vida, a minha família e aos meus amigos, especialmente meu irmãozão que não está mais entre nós, Erick Augusto da Silva (o irmão mais velho que eu nunca tive). Além disso, dedico esse trabalho a todos os pacientes e famílias que concordaram em participar de projetos de pesquisa e que tornam possíveis os avanços da ciência. E espero que meu trabalho abra portas em benefício dessas pessoas. AGRADECIMENTOS Gostaria de agradecer primeiramente a Deus e a vida, que me deram todas essas oportunidades até hoje e me permitem acordar todos os dias para dar mais um passo em busca dos meus objetivos. -
This Is the Author's Version of a Work That Was Submitted/Accepted for Pub- Lication in the Following Source: Benton, Miles C
This is the author’s version of a work that was submitted/accepted for pub- lication in the following source: Benton, Miles C., Sutherland, Heidi G., Macartney-Coxson, Donia, Haupt, Larisa M., Lea, Rodney A.,& Griffiths, Lyn R. (2017) Methylome-wide association study of whole blood DNA in the Norfolk Is- land isolate identifies robust loci associated with age. Aging, 9(3), pp. 753-768. This file was downloaded from: https://eprints.qut.edu.au/105629/ c 2017 The Author(s) Notice: Changes introduced as a result of publishing processes such as copy-editing and formatting may not be reflected in this document. For a definitive version of this work, please refer to the published source: https://doi.org/10.18632/aging.101187 Methylome-wide association study of whole blood DNA in the Norfolk Island isolate identifies robust loci associated with age Miles C. Benton1, Heidi G. Sutherland1, Donia Macartney-Coxson2, Larisa M. Haupt1, Rodney A. Lea1 and Lyn R. Griffiths1 1 Genomics Research Centre, Institute of Health and Biomedical Innovation, Queensland University of Technology, Kelvin Grove, Queensland, 4059, Australia 2 Kenepuru Science Centre, Institute of Environmental Science and Research, Wellington 5240, New Zealand Corresponding Authors Lyn Griffiths [email protected] t: +617 3138 6102 f: +617 3138 6039 Keywords: Aging, DNA methylation, Epigenetics, GLMnet, Norfolk Island ABSTRACT (max 200 words) Epigenetic regulation of various genomic functions, including gene expression, provide mechanisms whereby an organism can dynamically respond to changes in its environment and modify gene expression accordingly. One epigenetic mechanism implicated in human aging and age-related disorders is DNA methylation. -
Constructing an Integrated Gene Similarity Network for The
The Author(s) Journal of Biomedical Semantics 2017, 8(Suppl 1):32 DOI 10.1186/s13326-017-0141-1 RESEARCH Open Access Constructing an integrated gene similarity network for the identification of disease genes Zhen Tian1, Maozu Guo1*, Chunyu Wang1, LinLin Xing1, Lei Wang2 and Yin Zhang2 From Biological Ontologies and Knowledge bases workshop on IEEE BIBM 2016 Shenzhen, China. 16 December 2016 Abstract Background: Discovering novel genes that are involved human diseases is a challenging task in biomedical research. In recent years, several computational approaches have been proposed to prioritize candidate disease genes. Most of these methods are mainly based on protein-protein interaction (PPI) networks. However, since these PPI networks contain false positives and only cover less half of known human genes, their reliability and coverage are very low. Therefore, it is highly necessary to fuse multiple genomic data to construct a credible gene similarity network and then infer disease genes on the whole genomic scale. Results: We proposed a novel method, named RWRB, to infer causal genes of interested diseases. First, we construct five individual gene (protein) similarity networks based on multiple genomic data of human genes. Then, an integrated gene similarity network (IGSN) is reconstructed based on similarity network fusion (SNF) method. Finally, we employee the random walk with restart algorithm on the phenotype-gene bilayer network, which combines phenotype similarity network, IGSN as well as phenotype-gene association network, to prioritize candidate disease genes. We investigate the effectiveness of RWRB through leave-one-out cross-validation methods in inferring phenotype-gene relationships. Results show that RWRB is more accurate than state-of-the-art methods on most evaluation metrics.