University of Dundee Structural Basis for RING-Cys-Relay E3 Ligase Activity and Its Role in Axon Integrity Mabbitt, Peter D.; Lo
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The Role of Non-Coding Rnas in Uveal Melanoma
cancers Review The Role of Non-Coding RNAs in Uveal Melanoma Manuel Bande 1,2,*, Daniel Fernandez-Diaz 1,2, Beatriz Fernandez-Marta 1, Cristina Rodriguez-Vidal 3, Nerea Lago-Baameiro 4, Paula Silva-Rodríguez 2,5, Laura Paniagua 6, María José Blanco-Teijeiro 1,2, María Pardo 2,4 and Antonio Piñeiro 1,2 1 Department of Ophthalmology, University Hospital of Santiago de Compostela, Ramon Baltar S/N, 15706 Santiago de Compostela, Spain; [email protected] (D.F.-D.); [email protected] (B.F.-M.); [email protected] (M.J.B.-T.); [email protected] (A.P.) 2 Tumores Intraoculares en el Adulto, Instituto de Investigación Sanitaria de Santiago (IDIS), 15706 Santiago de Compostela, Spain; [email protected] (P.S.-R.); [email protected] (M.P.) 3 Department of Ophthalmology, University Hospital of Cruces, Cruces Plaza, S/N, 48903 Barakaldo, Vizcaya, Spain; [email protected] 4 Grupo Obesidómica, Instituto de Investigación Sanitaria de Santiago (IDIS), 15706 Santiago de Compostela, Spain; [email protected] 5 Fundación Pública Galega de Medicina Xenómica, Clinical University Hospital, SERGAS, 15706 Santiago de Compostela, Spain 6 Department of Ophthalmology, University Hospital of Coruña, Praza Parrote, S/N, 15006 La Coruña, Spain; [email protected] * Correspondence: [email protected]; Tel.: +34-981951756; Fax: +34-981956189 Received: 13 September 2020; Accepted: 9 October 2020; Published: 12 October 2020 Simple Summary: The development of uveal melanoma is a multifactorial and multi-step process, in which abnormal gene expression plays a key role. -
Mechanisms of Action of Coxiella Burnetii Effectors Inferred from Host-Pathogen Protein Interactions
RESEARCH ARTICLE Mechanisms of action of Coxiella burnetii effectors inferred from host-pathogen protein interactions Anders Wallqvist1, Hao Wang1, Nela Zavaljevski1, Vesna MemisÏević1, Keehwan Kwon2, Rembert Pieper2, Seesandra V. Rajagopala2, Jaques Reifman1* 1 Department of Defense Biotechnology High Performance Computing Software Applications Institute, Telemedicine and Advanced Technology Research Center, U.S. Army Medical Research and Materiel Command, Fort Detrick, Maryland, United States of America, 2 J. Craig Venter Institute, Rockville, Maryland, United States of America a1111111111 a1111111111 * [email protected] a1111111111 a1111111111 a1111111111 Abstract Coxiella burnetii is an obligate Gram-negative intracellular pathogen and the etiological agent of Q fever. Successful infection requires a functional Type IV secretion system, which OPEN ACCESS translocates more than 100 effector proteins into the host cytosol to establish the infection, Citation: Wallqvist A, Wang H, Zavaljevski N, restructure the intracellular host environment, and create a parasitophorous vacuole where MemisÏević V, Kwon K, Pieper R, et al. (2017) the replicating bacteria reside. We used yeast two-hybrid (Y2H) screening of 33 selected C. Mechanisms of action of Coxiella burnetii effectors burnetii effectors against whole genome human and murine proteome libraries to generate inferred from host-pathogen protein interactions. a map of potential host-pathogen protein-protein interactions (PPIs). We detected 273 PLoS ONE 12(11): e0188071. https://doi.org/ 10.1371/journal.pone.0188071 unique interactions between 20 pathogen and 247 human proteins, and 157 between 17 pathogen and 137 murine proteins. We used orthology to combine the data and create a sin- Editor: Zhao-Qing Luo, Purdue University, UNITED STATES gle host-pathogen interaction network containing 415 unique interactions between 25 C. -
Allele-Specific Disparity in Breast Cancer Fatemeh Kaveh1, Hege Edvardsen1, Anne-Lise Børresen-Dale1,2, Vessela N Kristensen1,2,3* and Hiroko K Solvang1,4
Kaveh et al. BMC Medical Genomics 2011, 4:85 http://www.biomedcentral.com/1755-8794/4/85 RESEARCHARTICLE Open Access Allele-specific disparity in breast cancer Fatemeh Kaveh1, Hege Edvardsen1, Anne-Lise Børresen-Dale1,2, Vessela N Kristensen1,2,3* and Hiroko K Solvang1,4 Abstract Background: In a cancer cell the number of copies of a locus may vary due to amplification and deletion and these variations are denoted as copy number alterations (CNAs). We focus on the disparity of CNAs in tumour samples, which were compared to those in blood in order to identify the directional loss of heterozygosity. Methods: We propose a numerical algorithm and apply it to data from the Illumina 109K-SNP array on 112 samples from breast cancer patients. B-allele frequency (BAF) and log R ratio (LRR) of Illumina were used to estimate Euclidian distances. For each locus, we compared genotypes in blood and tumour for subset of samples being heterozygous in blood. We identified loci showing preferential disparity from heterozygous toward either the A/B-allele homozygous (allelic disparity). The chi-squared and Cochran-Armitage trend tests were used to examine whether there is an association between high levels of disparity in single nucleotide polymorphisms (SNPs) and molecular, clinical and tumour-related parameters. To identify pathways and network functions over-represented within the resulting gene sets, we used Ingenuity Pathway Analysis (IPA). Results: To identify loci with a high level of disparity, we selected SNPs 1) with a substantial degree of disparity and 2) with substantial frequency (at least 50% of the samples heterozygous for the respective locus). -
A SARS-Cov-2 Protein Interaction Map Reveals Targets for Drug Repurposing
Article A SARS-CoV-2 protein interaction map reveals targets for drug repurposing https://doi.org/10.1038/s41586-020-2286-9 A list of authors and affiliations appears at the end of the paper Received: 23 March 2020 Accepted: 22 April 2020 A newly described coronavirus named severe acute respiratory syndrome Published online: 30 April 2020 coronavirus 2 (SARS-CoV-2), which is the causative agent of coronavirus disease 2019 (COVID-19), has infected over 2.3 million people, led to the death of more than Check for updates 160,000 individuals and caused worldwide social and economic disruption1,2. There are no antiviral drugs with proven clinical efcacy for the treatment of COVID-19, nor are there any vaccines that prevent infection with SARS-CoV-2, and eforts to develop drugs and vaccines are hampered by the limited knowledge of the molecular details of how SARS-CoV-2 infects cells. Here we cloned, tagged and expressed 26 of the 29 SARS-CoV-2 proteins in human cells and identifed the human proteins that physically associated with each of the SARS-CoV-2 proteins using afnity-purifcation mass spectrometry, identifying 332 high-confdence protein–protein interactions between SARS-CoV-2 and human proteins. Among these, we identify 66 druggable human proteins or host factors targeted by 69 compounds (of which, 29 drugs are approved by the US Food and Drug Administration, 12 are in clinical trials and 28 are preclinical compounds). We screened a subset of these in multiple viral assays and found two sets of pharmacological agents that displayed antiviral activity: inhibitors of mRNA translation and predicted regulators of the sigma-1 and sigma-2 receptors. -
Variation in Protein Coding Genes Identifies Information Flow
bioRxiv preprint doi: https://doi.org/10.1101/679456; this version posted June 21, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. Animal complexity and information flow 1 1 2 3 4 5 Variation in protein coding genes identifies information flow as a contributor to 6 animal complexity 7 8 Jack Dean, Daniela Lopes Cardoso and Colin Sharpe* 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 Institute of Biological and Biomedical Sciences 25 School of Biological Science 26 University of Portsmouth, 27 Portsmouth, UK 28 PO16 7YH 29 30 * Author for correspondence 31 [email protected] 32 33 Orcid numbers: 34 DLC: 0000-0003-2683-1745 35 CS: 0000-0002-5022-0840 36 37 38 39 40 41 42 43 44 45 46 47 48 49 Abstract bioRxiv preprint doi: https://doi.org/10.1101/679456; this version posted June 21, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. Animal complexity and information flow 2 1 Across the metazoans there is a trend towards greater organismal complexity. How 2 complexity is generated, however, is uncertain. Since C.elegans and humans have 3 approximately the same number of genes, the explanation will depend on how genes are 4 used, rather than their absolute number. -
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 ...................................................... -
Phenotype Informatics
Freie Universit¨atBerlin Department of Mathematics and Computer Science Phenotype informatics: Network approaches towards understanding the diseasome Sebastian Kohler¨ Submitted on: 12th September 2012 Dissertation zur Erlangung des Grades eines Doktors der Naturwissenschaften (Dr. rer. nat.) am Fachbereich Mathematik und Informatik der Freien Universitat¨ Berlin ii 1. Gutachter Prof. Dr. Martin Vingron 2. Gutachter: Prof. Dr. Peter N. Robinson 3. Gutachter: Christopher J. Mungall, Ph.D. Tag der Disputation: 16.05.2013 Preface This thesis presents research work on novel computational approaches to investigate and characterise the association between genes and pheno- typic abnormalities. It demonstrates methods for organisation, integra- tion, and mining of phenotype data in the field of genetics, with special application to human genetics. Here I will describe the parts of this the- sis that have been published in peer-reviewed journals. Often in modern science different people from different institutions contribute to research projects. The same is true for this thesis, and thus I will itemise who was responsible for specific sub-projects. In chapter 2, a new method for associating genes to phenotypes by means of protein-protein-interaction networks is described. I present a strategy to organise disease data and show how this can be used to link diseases to the corresponding genes. I show that global network distance measure in interaction networks of proteins is well suited for investigat- ing genotype-phenotype associations. This work has been published in 2008 in the American Journal of Human Genetics. My contribution here was to plan the project, implement the software, and finally test and evaluate the method on human genetics data; the implementation part was done in close collaboration with Sebastian Bauer. -
Pattern Discovery and Cancer Gene Identification in Integrated Cancer
Pattern discovery and cancer gene identification in integrated cancer genomic data Qianxing Moa,b, Sijian Wangc, Venkatraman E. Seshana, Adam B. Olshend, Nikolaus Schultze, Chris Sandere, R. Scott Powersf, Marc Ladanyig, and Ronglai Shena,1 aDepartment of Epidemiology and Biostatistics, eComputational Biology Program, and gDepartment of Pathology and Human Oncology and Pathogenesis Program, Memorial Sloan–Kettering Cancer Center, New York, NY 10065; bDepartment of Medicine and Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, TX 77030; cDepartment of Biostatistics and Medical Informatics, University of Wisconsin, Madison, WI 53792; dDepartment of Epidemiology and Biostatistics, University of California, San Francisco, CA 94107; and fCancer Genome Center, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11797 Edited by Peter J. Bickel, University of California, Berkeley, CA, and approved December 19, 2012 (received for review May 27, 2012) Large-scale integrated cancer genome characterization efforts in- integrates the information to extract biological principles from the cluding the cancer genome atlas and the cancer cell line encyclo- massive amount of data to provide useful insights for advancing pedia have created unprecedented opportunities to study cancer diagnostic, prognostic, and therapeutic strategies. biology in the context of knowing the entire catalog of genetic In a previous publication (8), we proposed an integrative alterations. A clinically important challenge is to discover cancer clustering framework -
Supplementary Information Patients and Sample Preparation
Supplementary Information Transcriptome characterization by RNA sequencing identifies two major molecular subgroups with clinical relevance in chronic lymphocytic leukemia Patients and Sample Preparation RNA-sequencing studies were performed in CLL samples from 98 patients, 41 had IGHV-unmutated and 54 IGHV-mutated genes (<98% identity), and in 3 the IGHV mutational status could not be determined. The complete clinical and biological data at the moment of sampling and before any treatment were available in 91 of these patients (Table S2). One hundred and twenty four additional CLL patients sequentially included in the International Cancer Genome Consortium (ICGC) CLL project constituted a validation series and were studied by microarray expression profile. The complete clinical and biological data at the moment of sampling and before any treatment were available in 110 of these patients (Table S2). All patients gave informed consent for their participation in the study following the ICGC guidelines. The tumor samples used for RNA-sequencing were obtained from fresh or cryopreserved mononuclear cells. To purify the CLL fraction, samples were incubated with a cocktail of magnetically-labelled antibodies directed against T cells, NK cells, monocytes and granulocytes (CD2, CD3, CD11b, CD14, CD15 and CD56), adjusted to the percentage of each contaminating population (AutoMACS, Miltenyi Biotec). The degree of contamination by non-CLL cells in the CLL fraction was assessed by immunophenotype and flow cytometry and was lower than 5%. Normal samples were obtained from buffy coats from healthy adult donors with an average age of 54 years (ranging from 45 to 61, Table S5). After Ficoll-Isopaque density centrifugation CD19+ B cells were isolated by positive magnetic cell separation by using AutoMACS system (Milteny Biotec, Auburn, CA). -
S Disease-Associated Genes ATP13A2 and SYT11 Regulate Autophagy Via a Common Pathway
ARTICLE Received 24 Sep 2015 | Accepted 30 Apr 2016 | Published 9 Jun 2016 DOI: 10.1038/ncomms11803 OPEN The Parkinson’s disease-associated genes ATP13A2 and SYT11 regulate autophagy via a common pathway Carla F. Bento1, Avraham Ashkenazi1, Maria Jimenez-Sanchez1 & David C. Rubinsztein1 Forms of Parkinson’s disease (PD) are associated with lysosomal and autophagic dysfunction. ATP13A2, which is mutated in some types of early-onset Parkinsonism, has been suggested as a regulator of the autophagy–lysosome pathway. However, little is known about the ATP13A2 effectors and how they regulate this pathway. Here we show that ATP13A2 depletion negatively regulates another PD-associated gene (SYT11) at both transcriptional and post-translational levels. Decreased SYT11 transcription is controlled by a mechanism dependent on MYCBP2-induced ubiquitination of TSC2, which leads to mTORC1 activation and decreased TFEB-mediated transcription of SYT11, while increased protein turnover is regulated by SYT11 ubiquitination and degradation. Both mechanisms account for a decrease in the levels of SYT11, which, in turn, induces lysosomal dysfunction and impaired degradation of autophagosomes. Thus, we propose that ATP13A2 and SYT11 form a new functional net- work in the regulation of the autophagy–lysosome pathway, which is likely to contribute to forms of PD-associated neurodegeneration. 1 Department of Medical Genetics, Cambridge Institute for Medical Research (CIMR), Wellcome/MRC Building, Cambridge Biomedical Campus, Hills Road, Cambridge CB2 0XY, UK. Correspondence and requests for materials should be addressed to D.C.R. (email: [email protected]). NATURE COMMUNICATIONS | 7:11803 | DOI: 10.1038/ncomms11803 | www.nature.com/naturecommunications 1 ARTICLE NATURE COMMUNICATIONS | DOI: 10.1038/ncomms11803 ncreasing evidence has implicated autophagic dysregulation mRNA levels of SYT11 (Fig. -
Investigation of Host Responses Upon Infection of Distinct <I>Toxoplasma
University of Tennessee, Knoxville TRACE: Tennessee Research and Creative Exchange Doctoral Dissertations Graduate School 12-2011 Investigation of host responses upon infection of distinct Toxoplasma strains Rachel DeVonne Hill [email protected] Follow this and additional works at: https://trace.tennessee.edu/utk_graddiss Part of the Pathogenic Microbiology Commons Recommended Citation Hill, Rachel DeVonne, "Investigation of host responses upon infection of distinct Toxoplasma strains. " PhD diss., University of Tennessee, 2011. https://trace.tennessee.edu/utk_graddiss/1190 This Dissertation is brought to you for free and open access by the Graduate School at TRACE: Tennessee Research and Creative Exchange. It has been accepted for inclusion in Doctoral Dissertations by an authorized administrator of TRACE: Tennessee Research and Creative Exchange. For more information, please contact [email protected]. To the Graduate Council: I am submitting herewith a dissertation written by Rachel DeVonne Hill entitled "Investigation of host responses upon infection of distinct Toxoplasma strains." I have examined the final electronic copy of this dissertation for form and content and recommend that it be accepted in partial fulfillment of the equirr ements for the degree of Doctor of Philosophy, with a major in Microbiology. Chunlei Su, Major Professor We have read this dissertation and recommend its acceptance: Todd Reynolds, Tim Sparer, Jun Lin, Gladys Alexandre Accepted for the Council: Carolyn R. Hodges Vice Provost and Dean of the Graduate School (Original signatures are on file with official studentecor r ds.) Investigation of host responses upon infection of distinct Toxoplasma strains A Dissertation Presented for the Doctor of Philosophy Degree The University of Tennessee, Knoxville Rachel DeVonne Hill December 2011 i Acknowledgements I would like to first thank God, for his continual guidance and strength that has propelled me to this milestone. -
The Porcine Translational Research Database: a Manually Curated, Genomics and Proteomics-Based Research Resource Harry D
Dawson et al. BMC Genomics (2017) 18:643 DOI 10.1186/s12864-017-4009-7 DATABASE Open Access The porcine translational research database: a manually curated, genomics and proteomics-based research resource Harry D. Dawson1* , Celine Chen1, Brady Gaynor2, Jonathan Shao2 and Joseph F. Urban Jr1 Abstract Background: The use of swine in biomedical research has increased dramatically in the last decade. Diverse genomic- and proteomic databases have been developed to facilitate research using human and rodent models. Current porcine gene databases, however, lack the robust annotation to study pig models that are relevant to human studies and for comparative evaluation with rodent models. Furthermore, they contain a significant number of errors due to their primary reliance on machine-based annotation. To address these deficiencies, a comprehensive literature-based survey was conducted to identify certain selected genes that have demonstrated function in humans, mice or pigs. Results: The process identified 13,054 candidate human, bovine, mouse or rat genes/proteins used to select potential porcine homologs by searching multiple online sources of porcine gene information. The data in the Porcine Translational Research Database ((http://www.ars.usda.gov/Services/docs.htm?docid=6065) is supported by >5800 references, and contains 65 data fields for each entry, including >9700 full length (5′ and 3′) unambiguous pig sequences, >2400 real time PCR assays and reactivity information on >1700 antibodies. It also contains gene and/or protein expression data for >2200 genes and identifies and corrects 8187 errors (gene duplications artifacts, mis-assemblies, mis-annotations, and incorrect species assignments) for 5337 porcine genes.