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Donlan AN, Leslie JL, Simpson ME, Petri WA, Allen JE, Petri WA. IL-13 protects from C. difficile Colitis. Anaerobe 2024:102860. [PMID: 38701912 DOI: 10.1016/j.anaerobe.2024.102860] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2023] [Revised: 04/26/2024] [Accepted: 04/29/2024] [Indexed: 05/05/2024]
Abstract
OBJECTIVES Clostridioides difficile infection (CDI) is the leading hospital-acquired infection in North America. We have previously discovered that antibiotic disruption of the gut microbiota decreases intestinal IL-33 and IL-25 and increases susceptibility to CDI. We further found that IL-33 promotes protection through type 2 Innate Lymphoid Cells (ILC2s), which produce IL-13. However, the contribution of IL-13 to disease has never been explored. METHODS We used a validated model of CDI in mice, in which we neutralized via blocking antibodies, or administered recombinant protein, IL-13 to assess the role of this cytokine during infection using weight and clinical scores. Fluorescent activated cell sorting (FACS) was used to characterize myeloid cell population changes in response to IL-13 manipulation. RESULTS We found that administration of IL-13 protected, and anti-IL-13 exacerbated CDI. Additionally, we observe alterations to the monocyte/macrophage cells following neutralization of IL-13 as early as day three post infection. We also observed elevated accumulation of myeloid cells by day four post-infection following IL-13 neutralization. Neutralization of the decoy receptor, IL-13Rα2, resulted in protection from disease, likely through increased available endogenous IL-13. CONCLUSIONS Our data highlight the protective role of IL-13 in protecting from more severe CDI and the association of poor responses with a dysregulated monocyte-macrophage compartment. These results increase our understanding of type 2 immunity in CDI and may have implications for treating disease in patients.
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Affiliation(s)
- A N Donlan
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, 98109; Division of Infectious Diseases & International Health, University of Virginia, Charlottesville, Virginia, 22908
| | - J L Leslie
- Division of Infectious Diseases & International Health, University of Virginia, Charlottesville, Virginia, 22908
| | - M E Simpson
- Department of Pathology, University of Virginia, Charlottesville, Virginia, 22908
| | - W A Petri
- Division of Infectious Diseases & International Health, University of Virginia, Charlottesville, Virginia, 22908
| | - J E Allen
- Lydia Becker Institute of Immunology and Inflammation, School of Biological Sciences, University of Manchester, Manchester Academic Health Sciences Centre, Manchester M13 9PL, United Kingdom
| | - W A Petri
- Division of Infectious Diseases & International Health, University of Virginia, Charlottesville, Virginia, 22908; Department of Pathology, University of Virginia, Charlottesville, Virginia, 22908; Department of Medicine, University of Virginia, Charlottesville, Virginia, 22908
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2
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Allen JE, Zybin SV, Morozov SI, O'Sullivan OT, Kawamura C, Waxler DE, Hooper JP, Goddard Iii WA, Zdilla MJ. High-Energy-Density Material with Magnetically Modulated Ignition. J Am Chem Soc 2024; 146:4500-4507. [PMID: 38330246 DOI: 10.1021/jacs.3c10621] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/10/2024]
Abstract
Preparation of a redox-frustrated high-energy-density energetic material is achieved by gentle protolysis of Mn[N(SiMe3)2]2 with the perchlorate salt of the tetrazolamide [H2NtBuMeTz]ClO4 (Tz = tetrazole), yielding the Mn6N6 hexagonal prismatic cluster, Mn6(μ3-NTztBuMe)6(ClO4)6. Quantum mechanics-based molecular dynamics simulations of the decomposition of this molecule predict that magnetic ordering of the d5 Mn2+ ions influences the pathway and rates of decomposition, suggesting that the initiation of decomposition of the bulk material might be significantly retarded by an applied magnetic field. We report here experimental tests of the prediction showing that the presence of a 0.5 T magnetic field modulates the ignition onset temperature by +10.4 ± 3.9 °C (from 414 ± 4 °C), demonstrating the first example of a magnetically modulated explosive.
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Affiliation(s)
- James E Allen
- Department of Chemistry, Temple University, 1901 N. 13th St. Philadelphia, Pennsylvania 19122, United States
| | - Sergey V Zybin
- Materials and Process Simulation Center, California Institute of Technology, 1200 East California Boulevard, Pasadena, California 91125, United States
| | - Sergey I Morozov
- Department of Physics of Nanoscale Systems, South Ural State University, 76 Prospekt Lenina, Chelyabinsk 454080, Russia
| | - Owen T O'Sullivan
- Department of Chemistry, Temple University, 1901 N. 13th St. Philadelphia, Pennsylvania 19122, United States
| | - Colton Kawamura
- Department of Physics, Naval Postgraduate School, 833 Dyer Road, Monterey, California 93943, United States
| | - David E Waxler
- Department of Psychology and Neuroscience, Temple University, 1701 N 13th St. Philadelphia, Pennsylvania 19122, United States
- Neuroscience Institute, Georgia State University, 161 Jesse Hill Jr. Drive SE, Atlanta, Georgia 30303, United States
| | - Joseph P Hooper
- Department of Physics, Naval Postgraduate School, 833 Dyer Road, Monterey, California 93943, United States
| | - William A Goddard Iii
- Materials and Process Simulation Center, California Institute of Technology, 1200 East California Boulevard, Pasadena, California 91125, United States
| | - Michael J Zdilla
- Department of Chemistry, Temple University, 1901 N. 13th St. Philadelphia, Pennsylvania 19122, United States
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3
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Kornfeind J, Allen JE, Keller TM, Fleming FF. Heterocycles via SiCl 4-Promoted Isocyanide Additions to Oxonitriles. J Org Chem 2023; 88:15947-15955. [PMID: 37938807 DOI: 10.1021/acs.joc.3c02210] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2023]
Abstract
SiCl4 promotes isocyanide additions to oxoalkenenitriles to selectively generate 3-acylpyrroles, 2-aminofurans, or pyrrolidinones. Cyclic oxoalkenenitriles add 2 equiv of an isocyanide that installs the two core atoms of an acylpyrrole and a nitrile substituent, whereas acyclic oxoalkenenitriles add 1 equiv of an isocyanide to afford 2-aminofurans; subsequent air oxidation generates pyrrolidinones via a furan oxygenation-cleavage-cyclization sequence. The syntheses proceed under mild conditions to rapidly access three richly decorated heterocycles.
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Affiliation(s)
- John Kornfeind
- Department of Chemistry, Drexel University, 3401 Chestnut Street, Philadelphia, Pennsylvania 19104, United States
| | - James E Allen
- Department of Chemistry, Drexel University, 3401 Chestnut Street, Philadelphia, Pennsylvania 19104, United States
| | - Taylor M Keller
- Department of Chemistry, Drexel University, 3401 Chestnut Street, Philadelphia, Pennsylvania 19104, United States
| | - Fraser F Fleming
- Department of Chemistry, Drexel University, 3401 Chestnut Street, Philadelphia, Pennsylvania 19104, United States
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4
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Cunningham F, Allen JE, Allen J, Alvarez-Jarreta J, Amode M, Armean I, Austine-Orimoloye O, Azov A, Barnes I, Bennett R, Berry A, Bhai J, Bignell A, Billis K, Boddu S, Brooks L, Charkhchi M, Cummins C, Da Rin Fioretto L, Davidson C, Dodiya K, Donaldson S, El Houdaigui B, El Naboulsi T, Fatima R, Giron CG, Genez T, Martinez J, Guijarro-Clarke C, Gymer A, Hardy M, Hollis Z, Hourlier T, Hunt T, Juettemann T, Kaikala V, Kay M, Lavidas I, Le T, Lemos D, Marugán JC, Mohanan S, Mushtaq A, Naven M, Ogeh D, Parker A, Parton A, Perry M, Piližota I, Prosovetskaia I, Sakthivel M, Salam A, Schmitt B, Schuilenburg H, Sheppard D, Pérez-Silva J, Stark W, Steed E, Sutinen K, Sukumaran R, Sumathipala D, Suner MM, Szpak M, Thormann A, Tricomi FF, Urbina-Gómez D, Veidenberg A, Walsh T, Walts B, Willhoft N, Winterbottom A, Wass E, Chakiachvili M, Flint B, Frankish A, Giorgetti S, Haggerty L, Hunt S, IIsley G, Loveland J, Martin F, Moore B, Mudge J, Muffato M, Perry E, Ruffier M, Tate J, Thybert D, Trevanion S, Dyer S, Harrison P, Howe K, Yates A, Zerbino D, Flicek P. Ensembl 2022. Nucleic Acids Res 2022; 50:D988-D995. [PMID: 34791404 PMCID: PMC8728283 DOI: 10.1093/nar/gkab1049] [Citation(s) in RCA: 837] [Impact Index Per Article: 418.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Revised: 10/14/2021] [Accepted: 10/19/2021] [Indexed: 12/29/2022] Open
Abstract
Ensembl (https://www.ensembl.org) is unique in its flexible infrastructure for access to genomic data and annotation. It has been designed to efficiently deliver annotation at scale for all eukaryotic life, and it also provides deep comprehensive annotation for key species. Genomes representing a greater diversity of species are increasingly being sequenced. In response, we have focussed our recent efforts on expediting the annotation of new assemblies. Here, we report the release of the greatest annual number of newly annotated genomes in the history of Ensembl via our dedicated Ensembl Rapid Release platform (http://rapid.ensembl.org). We have also developed a new method to generate comparative analyses at scale for these assemblies and, for the first time, we have annotated non-vertebrate eukaryotes. Meanwhile, we continually improve, extend and update the annotation for our high-value reference vertebrate genomes and report the details here. We have a range of specific software tools for specific tasks, such as the Ensembl Variant Effect Predictor (VEP) and the newly developed interface for the Variant Recoder. All Ensembl data, software and tools are freely available for download and are accessible programmatically.
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Affiliation(s)
- Fiona Cunningham
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - James E Allen
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Jamie Allen
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Jorge Alvarez-Jarreta
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - M Ridwan Amode
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Irina M Armean
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Olanrewaju Austine-Orimoloye
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Andrey G Azov
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - If Barnes
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Ruth Bennett
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Andrew Berry
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Jyothish Bhai
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Alexandra Bignell
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Konstantinos Billis
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Sanjay Boddu
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Lucy Brooks
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Mehrnaz Charkhchi
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Carla Cummins
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Luca Da Rin Fioretto
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Claire Davidson
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Kamalkumar Dodiya
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Sarah Donaldson
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Bilal El Houdaigui
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Tamara El Naboulsi
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Reham Fatima
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Carlos Garcia Giron
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Thiago Genez
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Jose Gonzalez Martinez
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Cristina Guijarro-Clarke
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Arthur Gymer
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Matthew Hardy
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Zoe Hollis
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Thibaut Hourlier
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Toby Hunt
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Thomas Juettemann
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Vinay Kaikala
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Mike Kay
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Ilias Lavidas
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Tuan Le
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Diana Lemos
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - José Carlos Marugán
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Shamika Mohanan
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Aleena Mushtaq
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Marc Naven
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Denye N Ogeh
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Anne Parker
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Andrew Parton
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Malcolm Perry
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Ivana Piližota
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Irina Prosovetskaia
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Manoj Pandian Sakthivel
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Ahamed Imran Abdul Salam
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Bianca M Schmitt
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Helen Schuilenburg
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Dan Sheppard
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - José G Pérez-Silva
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - William Stark
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Emily Steed
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Kyösti Sutinen
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Ranjit Sukumaran
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Dulika Sumathipala
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Marie-Marthe Suner
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Michal Szpak
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Anja Thormann
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Francesca Floriana Tricomi
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - David Urbina-Gómez
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Andres Veidenberg
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Thomas A Walsh
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Brandon Walts
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Natalie Willhoft
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Andrea Winterbottom
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Elizabeth Wass
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Marc Chakiachvili
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Bethany Flint
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Adam Frankish
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Stefano Giorgetti
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Leanne Haggerty
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Sarah E Hunt
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Garth R IIsley
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Jane E Loveland
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Fergal J Martin
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Benjamin Moore
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Jonathan M Mudge
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Matthieu Muffato
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Emily Perry
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Magali Ruffier
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - John Tate
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - David Thybert
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Stephen J Trevanion
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Sarah Dyer
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Peter W Harrison
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Kevin L Howe
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Andrew D Yates
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Daniel R Zerbino
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Paul Flicek
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
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5
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Abstract
Ensembl Plants ( http://plants.ensembl.org ) offers genome-scale information for plants, with four releases per year. As of release 47 (April 2020) it features 79 species and includes genome sequence, gene models, and functional annotation. Comparative analyses help reconstruct the evolutionary history of gene families, genomes, and components of polyploid genomes. Some species have gene expression baseline reports or variation across genotypes. While the data can be accessed through the Ensembl genome browser, here we review specifically how our plant genomes can be interrogated programmatically and the data downloaded in bulk. These access routes are generally consistent across Ensembl for other non-plant species, including plant pathogens, pests, and pollinators.
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Affiliation(s)
- Bruno Contreras-Moreira
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Cambridge, UK.
| | | | | | | | | | | | | | - Paul Flicek
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Cambridge, UK.
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6
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Contreras-Moreira B, Filippi CV, Naamati G, Girón CG, Allen JE, Flicek P. K-mer counting and curated libraries drive efficient annotation of repeats in plant genomes. Plant Genome 2021; 14:e20143. [PMID: 34562304 PMCID: PMC7614178 DOI: 10.1002/tpg2.20143] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/07/2021] [Accepted: 07/06/2021] [Indexed: 06/13/2023]
Abstract
The annotation of repetitive sequences within plant genomes can help in the interpretation of observed phenotypes. Moreover, repeat masking is required for tasks such as whole-genome alignment, promoter analysis, or pangenome exploration. Although homology-based annotation methods are computationally expensive, k-mer strategies for masking are orders of magnitude faster. Here, we benchmarked a two-step approach, where repeats were first called by k-mer counting and then annotated by comparison to curated libraries. This hybrid protocol was tested on 20 plant genomes from Ensembl, with the k-mer-based Repeat Detector (Red) and two repeat libraries (REdat, last updated in 2013, and nrTEplants, curated for this work). Custom libraries produced by RepeatModeler were also tested. We obtained repeated genome fractions that matched those reported in the literature but with shorter repeated elements than those produced directly by sequence homology. Inspection of the masked regions that overlapped genes revealed no preference for specific protein domains. Most Red-masked sequences could be successfully classified by sequence similarity, with the complete protocol taking less than 2 h on a desktop Linux box. A guide to curating your own repeat libraries and the scripts for masking and annotating plant genomes can be obtained at https://github.com/Ensembl/plant-scripts.
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Affiliation(s)
- Bruno Contreras-Moreira
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Carla V Filippi
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
- Instituto de Biotecnología, Centro de Investigaciones en Ciencias Veterinarias y Agronómicas (CICVyA), Instituto Nacional de Tecnología Agropecuaria (INTA); Instituto de Agrobiotecnología y Biología Molecular (IABIMO), INTA-Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET) Nicolas Repetto y Los Reseros s/n (1686), Hurlingham, Buenos Aires, Argentina
- CONICET, Av Rivadavia 1917, C1033AAJ Ciudad de Buenos Aires, Argentina
| | - Guy Naamati
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Carlos García Girón
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - James E Allen
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Paul Flicek
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
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7
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Allen JE, Frantzeskakis DJ, Karachalios NI, Kevrekidis PG, Koukouloyannis V. Solitary and periodic waves in collisionless plasmas: The Adlam-Allen model revisited. Phys Rev E 2020; 102:013209. [PMID: 32794914 DOI: 10.1103/physreve.102.013209] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2020] [Accepted: 06/24/2020] [Indexed: 11/07/2022]
Abstract
We consider the Adlam-Allen (AA) system of partial differential equations, which, arguably, is the first model that was introduced to describe solitary waves in the context of propagation of hydrodynamic disturbances in collisionless plasmas. Here, we identify the solitary waves of the model by implementing a dynamical systems approach. The latter suggests that the model also possesses periodic wave solutions-which reduce to the solitary wave in the limiting case of an infinite period-as well as rational solutions that are obtained herein. In addition, employing a long-wave approximation via a relevant multiscale expansion method, we establish the asymptotic reduction of the AA system to the Korteweg-de Vries equation. Such a reduction is not only another justification for the above solitary wave dynamics, but may also offer additional insights for the emergence of other possible plasma waves. Direct numerical simulations are performed for the study of multiple solitary waves and their pairwise interactions. The stability of solitary waves is discussed in terms of potentially relevant criteria, while the robustness of spatially periodic wave solutions is touched upon via numerical experiments.
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Affiliation(s)
- J E Allen
- Mathematical Institute, University of Oxford, Oxford OX2 6GG, United Kingdom
| | - D J Frantzeskakis
- Department of Physics, National and Kapodistrian University of Athens, Panepistimiopolis, Zografos, Athens 15784, Greece
| | - N I Karachalios
- Department of Mathematics, Laboratory of Applied Mathematics and Mathematical Modelling, University of the Aegean, Karlovassi, 83200 Samos, Greece
| | - P G Kevrekidis
- Mathematical Institute, University of Oxford, Oxford OX2 6GG, United Kingdom.,Department of Mathematics and Statistics, University of Massachusetts, Amherst, Massachusetts 01003-4515, USA
| | - V Koukouloyannis
- Department of Mathematics, Laboratory of Applied Mathematics and Mathematical Modelling, University of the Aegean, Karlovassi, 83200 Samos, Greece
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8
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Attardo GM, Abd-Alla AMM, Acosta-Serrano A, Allen JE, Bateta R, Benoit JB, Bourtzis K, Caers J, Caljon G, Christensen MB, Farrow DW, Friedrich M, Hua-Van A, Jennings EC, Larkin DM, Lawson D, Lehane MJ, Lenis VP, Lowy-Gallego E, Macharia RW, Malacrida AR, Marco HG, Masiga D, Maslen GL, Matetovici I, Meisel RP, Meki I, Michalkova V, Miller WJ, Minx P, Mireji PO, Ometto L, Parker AG, Rio R, Rose C, Rosendale AJ, Rota-Stabelli O, Savini G, Schoofs L, Scolari F, Swain MT, Takáč P, Tomlinson C, Tsiamis G, Van Den Abbeele J, Vigneron A, Wang J, Warren WC, Waterhouse RM, Weirauch MT, Weiss BL, Wilson RK, Zhao X, Aksoy S. Comparative genomic analysis of six Glossina genomes, vectors of African trypanosomes. Genome Biol 2019; 20:187. [PMID: 31477173 PMCID: PMC6721284 DOI: 10.1186/s13059-019-1768-2] [Citation(s) in RCA: 47] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2019] [Accepted: 07/22/2019] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Tsetse flies (Glossina sp.) are the vectors of human and animal trypanosomiasis throughout sub-Saharan Africa. Tsetse flies are distinguished from other Diptera by unique adaptations, including lactation and the birthing of live young (obligate viviparity), a vertebrate blood-specific diet by both sexes, and obligate bacterial symbiosis. This work describes the comparative analysis of six Glossina genomes representing three sub-genera: Morsitans (G. morsitans morsitans, G. pallidipes, G. austeni), Palpalis (G. palpalis, G. fuscipes), and Fusca (G. brevipalpis) which represent different habitats, host preferences, and vectorial capacity. RESULTS Genomic analyses validate established evolutionary relationships and sub-genera. Syntenic analysis of Glossina relative to Drosophila melanogaster shows reduced structural conservation across the sex-linked X chromosome. Sex-linked scaffolds show increased rates of female-specific gene expression and lower evolutionary rates relative to autosome associated genes. Tsetse-specific genes are enriched in protease, odorant-binding, and helicase activities. Lactation-associated genes are conserved across all Glossina species while male seminal proteins are rapidly evolving. Olfactory and gustatory genes are reduced across the genus relative to other insects. Vision-associated Rhodopsin genes show conservation of motion detection/tracking functions and variance in the Rhodopsin detecting colors in the blue wavelength ranges. CONCLUSIONS Expanded genomic discoveries reveal the genetics underlying Glossina biology and provide a rich body of knowledge for basic science and disease control. They also provide insight into the evolutionary biology underlying novel adaptations and are relevant to applied aspects of vector control such as trap design and discovery of novel pest and disease control strategies.
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Affiliation(s)
- Geoffrey M Attardo
- Department of Entomology and Nematology, University of California, Davis, Davis, CA, USA.
| | - Adly M M Abd-Alla
- Insect Pest Control Laboratory, Joint FAO/IAEA Division of Nuclear Techniques in Food & Agriculture, Vienna, Vienna, Austria
| | - Alvaro Acosta-Serrano
- Department of Vector Biology, Liverpool School of Tropical Medicine, Merseyside, Liverpool, UK
| | - James E Allen
- VectorBase, European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Cambridge, Cambridgeshire, UK
| | - Rosemary Bateta
- Department of Biochemistry, Biotechnology Research Institute - Kenya Agricultural and Livestock Research Organization, Kikuyu, Kenya
| | - Joshua B Benoit
- Department of Biological Sciences, University of Cincinnati, Cincinnati, OH, USA
| | - Kostas Bourtzis
- Insect Pest Control Laboratory, Joint FAO/IAEA Division of Nuclear Techniques in Food & Agriculture, Vienna, Vienna, Austria
| | - Jelle Caers
- Department of Biology - Functional Genomics and Proteomics Group, KU Leuven, Leuven, Belgium
| | - Guy Caljon
- Laboratory of Microbiology, Parasitology and Hygiene, University of Antwerp, Antwerp, Belgium
| | - Mikkel B Christensen
- VectorBase, European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Cambridge, Cambridgeshire, UK
| | - David W Farrow
- Department of Biological Sciences, University of Cincinnati, Cincinnati, OH, USA
| | - Markus Friedrich
- Department of Biological Sciences, Wayne State University, Detroit, MI, USA
| | - Aurélie Hua-Van
- Laboratoire Evolution, Genomes, Comportement, Ecologie, CNRS, IRD, Univ. Paris-Sud, Université Paris-Saclay, Gif-sur-Yvette, France
| | - Emily C Jennings
- Department of Biological Sciences, University of Cincinnati, Cincinnati, OH, USA
| | - Denis M Larkin
- Department of Comparative Biomedical Sciences, Royal Veterinary College, London, UK
| | - Daniel Lawson
- Department of Life Sciences, Imperial College London, London, UK
| | - Michael J Lehane
- Department of Vector Biology, Liverpool School of Tropical Medicine, Merseyside, Liverpool, UK
| | - Vasileios P Lenis
- Schools of Medicine and Dentistry, University of Plymouth, Plymouth, UK
| | - Ernesto Lowy-Gallego
- VectorBase, European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Cambridge, Cambridgeshire, UK
| | - Rosaline W Macharia
- Molecular Biology and Bioinformatics Unit, International Center for Insect Physiology and Ecology, Nairobi, Kenya.,Centre for Biotechnology and Bioinformatics, University of Nairobi, Nairobi, Kenya
| | - Anna R Malacrida
- Department of Biology and Biotechnology, University of Pavia, Pavia, Italy
| | - Heather G Marco
- Department of Biological Sciences, University of Cape Town, Rondebosch, South Africa
| | - Daniel Masiga
- Molecular Biology and Bioinformatics Unit, International Center for Insect Physiology and Ecology, Nairobi, Kenya
| | - Gareth L Maslen
- VectorBase, European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Cambridge, Cambridgeshire, UK
| | - Irina Matetovici
- Biomedical Sciences, Institute of Tropical Medicine, Antwerp, Belgium
| | - Richard P Meisel
- Department of Biology and Biochemistry, University of Houston, Houston, TX, USA
| | - Irene Meki
- Insect Pest Control Laboratory, Joint FAO/IAEA Division of Nuclear Techniques in Food & Agriculture, Vienna, Vienna, Austria
| | - Veronika Michalkova
- Department of Biological Sciences, Florida International University, Miami, Florida, USA.,Institute of Zoology, Slovak Academy of Sciences, Bratislava, Slovakia
| | - Wolfgang J Miller
- Department of Cell and Developmental Biology, Medical University of Vienna, Vienna, Austria
| | - Patrick Minx
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, USA
| | - Paul O Mireji
- Department of Biochemistry, Biotechnology Research Institute - Kenya Agricultural and Livestock Research Organization, Kikuyu, Kenya.,Centre for Geographic Medicine Research Coast, Kenya Medical Research Institute, Kilifi, Kenya
| | - Lino Ometto
- Department of Sustainable Ecosystems and Bioresources, Research and Innovation Centre, Fondazione Edmund Mach, San Michele all'Adige, TN, Italy.,Department of Biology and Biotechnology, University of Pavia, Pavia, Italy
| | - Andrew G Parker
- Insect Pest Control Laboratory, Joint FAO/IAEA Division of Nuclear Techniques in Food & Agriculture, Vienna, Vienna, Austria
| | - Rita Rio
- Department of Biology, West Virginia University, Morgantown, WV, USA
| | - Clair Rose
- Department of Vector Biology, Liverpool School of Tropical Medicine, Merseyside, Liverpool, UK
| | - Andrew J Rosendale
- Department of Biology, Mount St. Joseph University, Cincinnati, OH, USA.,Department of Biological Sciences, University of Cincinnati, Cincinnati, OH, USA
| | - Omar Rota-Stabelli
- Department of Sustainable Ecosystems and Bioresources, Research and Innovation Centre, Fondazione Edmund Mach, San Michele all'Adige, TN, Italy
| | - Grazia Savini
- Department of Biology and Biotechnology, University of Pavia, Pavia, Italy
| | - Liliane Schoofs
- Department of Biology - Functional Genomics and Proteomics Group, KU Leuven, Leuven, Belgium
| | - Francesca Scolari
- Department of Biology and Biotechnology, University of Pavia, Pavia, Italy
| | - Martin T Swain
- Institute of Biological, Environmental and Rural Sciences, Aberystwyth University, Aberystwyth, Ceredigion, UK
| | - Peter Takáč
- Department of Animal Systematics, Ústav zoológie SAV; Scientica, Ltd, Bratislava, Slovakia
| | - Chad Tomlinson
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, USA
| | - George Tsiamis
- Department of Environmental and Natural Resources Management, University of Patras, Agrinio, Etoloakarnania, Greece
| | | | - Aurelien Vigneron
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA
| | - Jingwen Wang
- School of Life Sciences, Fudan University, Shanghai, China
| | - Wesley C Warren
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, USA.,Bond Life Sciences Center, University of Missouri, Columbia, MO, USA
| | - Robert M Waterhouse
- Department of Ecology & Evolution, Swiss Institute of Bioinformatics, University of Lausanne, Lausanne, Switzerland
| | - Matthew T Weirauch
- Center for Autoimmune Genomics and Etiology and Divisions of Biomedical Informatics and Developmental Biology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Brian L Weiss
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA
| | - Richard K Wilson
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, USA
| | - Xin Zhao
- CAS Center for Influenza Research and Early-warning (CASCIRE), Chinese Academy of Sciences, Beijing, China
| | - Serap Aksoy
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.
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9
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Attardo GM, Abd-Alla AMM, Acosta-Serrano A, Allen JE, Bateta R, Benoit JB, Bourtzis K, Caers J, Caljon G, Christensen MB, Farrow DW, Friedrich M, Hua-Van A, Jennings EC, Larkin DM, Lawson D, Lehane MJ, Lenis VP, Lowy-Gallego E, Macharia RW, Malacrida AR, Marco HG, Masiga D, Maslen GL, Matetovici I, Meisel RP, Meki I, Michalkova V, Miller WJ, Minx P, Mireji PO, Ometto L, Parker AG, Rio R, Rose C, Rosendale AJ, Rota-Stabelli O, Savini G, Schoofs L, Scolari F, Swain MT, Takáč P, Tomlinson C, Tsiamis G, Van Den Abbeele J, Vigneron A, Wang J, Warren WC, Waterhouse RM, Weirauch MT, Weiss BL, Wilson RK, Zhao X, Aksoy S. Comparative genomic analysis of six Glossina genomes, vectors of African trypanosomes. Genome Biol 2019; 20:187. [PMID: 31477173 DOI: 10.1101/531749] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2019] [Accepted: 07/22/2019] [Indexed: 05/24/2023] Open
Abstract
BACKGROUND Tsetse flies (Glossina sp.) are the vectors of human and animal trypanosomiasis throughout sub-Saharan Africa. Tsetse flies are distinguished from other Diptera by unique adaptations, including lactation and the birthing of live young (obligate viviparity), a vertebrate blood-specific diet by both sexes, and obligate bacterial symbiosis. This work describes the comparative analysis of six Glossina genomes representing three sub-genera: Morsitans (G. morsitans morsitans, G. pallidipes, G. austeni), Palpalis (G. palpalis, G. fuscipes), and Fusca (G. brevipalpis) which represent different habitats, host preferences, and vectorial capacity. RESULTS Genomic analyses validate established evolutionary relationships and sub-genera. Syntenic analysis of Glossina relative to Drosophila melanogaster shows reduced structural conservation across the sex-linked X chromosome. Sex-linked scaffolds show increased rates of female-specific gene expression and lower evolutionary rates relative to autosome associated genes. Tsetse-specific genes are enriched in protease, odorant-binding, and helicase activities. Lactation-associated genes are conserved across all Glossina species while male seminal proteins are rapidly evolving. Olfactory and gustatory genes are reduced across the genus relative to other insects. Vision-associated Rhodopsin genes show conservation of motion detection/tracking functions and variance in the Rhodopsin detecting colors in the blue wavelength ranges. CONCLUSIONS Expanded genomic discoveries reveal the genetics underlying Glossina biology and provide a rich body of knowledge for basic science and disease control. They also provide insight into the evolutionary biology underlying novel adaptations and are relevant to applied aspects of vector control such as trap design and discovery of novel pest and disease control strategies.
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Affiliation(s)
- Geoffrey M Attardo
- Department of Entomology and Nematology, University of California, Davis, Davis, CA, USA.
| | - Adly M M Abd-Alla
- Insect Pest Control Laboratory, Joint FAO/IAEA Division of Nuclear Techniques in Food & Agriculture, Vienna, Vienna, Austria
| | - Alvaro Acosta-Serrano
- Department of Vector Biology, Liverpool School of Tropical Medicine, Merseyside, Liverpool, UK
| | - James E Allen
- VectorBase, European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Cambridge, Cambridgeshire, UK
| | - Rosemary Bateta
- Department of Biochemistry, Biotechnology Research Institute - Kenya Agricultural and Livestock Research Organization, Kikuyu, Kenya
| | - Joshua B Benoit
- Department of Biological Sciences, University of Cincinnati, Cincinnati, OH, USA
| | - Kostas Bourtzis
- Insect Pest Control Laboratory, Joint FAO/IAEA Division of Nuclear Techniques in Food & Agriculture, Vienna, Vienna, Austria
| | - Jelle Caers
- Department of Biology - Functional Genomics and Proteomics Group, KU Leuven, Leuven, Belgium
| | - Guy Caljon
- Laboratory of Microbiology, Parasitology and Hygiene, University of Antwerp, Antwerp, Belgium
| | - Mikkel B Christensen
- VectorBase, European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Cambridge, Cambridgeshire, UK
| | - David W Farrow
- Department of Biological Sciences, University of Cincinnati, Cincinnati, OH, USA
| | - Markus Friedrich
- Department of Biological Sciences, Wayne State University, Detroit, MI, USA
| | - Aurélie Hua-Van
- Laboratoire Evolution, Genomes, Comportement, Ecologie, CNRS, IRD, Univ. Paris-Sud, Université Paris-Saclay, Gif-sur-Yvette, France
| | - Emily C Jennings
- Department of Biological Sciences, University of Cincinnati, Cincinnati, OH, USA
| | - Denis M Larkin
- Department of Comparative Biomedical Sciences, Royal Veterinary College, London, UK
| | - Daniel Lawson
- Department of Life Sciences, Imperial College London, London, UK
| | - Michael J Lehane
- Department of Vector Biology, Liverpool School of Tropical Medicine, Merseyside, Liverpool, UK
| | - Vasileios P Lenis
- Schools of Medicine and Dentistry, University of Plymouth, Plymouth, UK
| | - Ernesto Lowy-Gallego
- VectorBase, European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Cambridge, Cambridgeshire, UK
| | - Rosaline W Macharia
- Molecular Biology and Bioinformatics Unit, International Center for Insect Physiology and Ecology, Nairobi, Kenya
- Centre for Biotechnology and Bioinformatics, University of Nairobi, Nairobi, Kenya
| | - Anna R Malacrida
- Department of Biology and Biotechnology, University of Pavia, Pavia, Italy
| | - Heather G Marco
- Department of Biological Sciences, University of Cape Town, Rondebosch, South Africa
| | - Daniel Masiga
- Molecular Biology and Bioinformatics Unit, International Center for Insect Physiology and Ecology, Nairobi, Kenya
| | - Gareth L Maslen
- VectorBase, European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Cambridge, Cambridgeshire, UK
| | - Irina Matetovici
- Biomedical Sciences, Institute of Tropical Medicine, Antwerp, Belgium
| | - Richard P Meisel
- Department of Biology and Biochemistry, University of Houston, Houston, TX, USA
| | - Irene Meki
- Insect Pest Control Laboratory, Joint FAO/IAEA Division of Nuclear Techniques in Food & Agriculture, Vienna, Vienna, Austria
| | - Veronika Michalkova
- Department of Biological Sciences, Florida International University, Miami, Florida, USA
- Institute of Zoology, Slovak Academy of Sciences, Bratislava, Slovakia
| | - Wolfgang J Miller
- Department of Cell and Developmental Biology, Medical University of Vienna, Vienna, Austria
| | - Patrick Minx
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, USA
| | - Paul O Mireji
- Department of Biochemistry, Biotechnology Research Institute - Kenya Agricultural and Livestock Research Organization, Kikuyu, Kenya
- Centre for Geographic Medicine Research Coast, Kenya Medical Research Institute, Kilifi, Kenya
| | - Lino Ometto
- Department of Sustainable Ecosystems and Bioresources, Research and Innovation Centre, Fondazione Edmund Mach, San Michele all'Adige, TN, Italy
- Department of Biology and Biotechnology, University of Pavia, Pavia, Italy
| | - Andrew G Parker
- Insect Pest Control Laboratory, Joint FAO/IAEA Division of Nuclear Techniques in Food & Agriculture, Vienna, Vienna, Austria
| | - Rita Rio
- Department of Biology, West Virginia University, Morgantown, WV, USA
| | - Clair Rose
- Department of Vector Biology, Liverpool School of Tropical Medicine, Merseyside, Liverpool, UK
| | - Andrew J Rosendale
- Department of Biology, Mount St. Joseph University, Cincinnati, OH, USA
- Department of Biological Sciences, University of Cincinnati, Cincinnati, OH, USA
| | - Omar Rota-Stabelli
- Department of Sustainable Ecosystems and Bioresources, Research and Innovation Centre, Fondazione Edmund Mach, San Michele all'Adige, TN, Italy
| | - Grazia Savini
- Department of Biology and Biotechnology, University of Pavia, Pavia, Italy
| | - Liliane Schoofs
- Department of Biology - Functional Genomics and Proteomics Group, KU Leuven, Leuven, Belgium
| | - Francesca Scolari
- Department of Biology and Biotechnology, University of Pavia, Pavia, Italy
| | - Martin T Swain
- Institute of Biological, Environmental and Rural Sciences, Aberystwyth University, Aberystwyth, Ceredigion, UK
| | - Peter Takáč
- Department of Animal Systematics, Ústav zoológie SAV; Scientica, Ltd, Bratislava, Slovakia
| | - Chad Tomlinson
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, USA
| | - George Tsiamis
- Department of Environmental and Natural Resources Management, University of Patras, Agrinio, Etoloakarnania, Greece
| | | | - Aurelien Vigneron
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA
| | - Jingwen Wang
- School of Life Sciences, Fudan University, Shanghai, China
| | - Wesley C Warren
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, USA
- Bond Life Sciences Center, University of Missouri, Columbia, MO, USA
| | - Robert M Waterhouse
- Department of Ecology & Evolution, Swiss Institute of Bioinformatics, University of Lausanne, Lausanne, Switzerland
| | - Matthew T Weirauch
- Center for Autoimmune Genomics and Etiology and Divisions of Biomedical Informatics and Developmental Biology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Brian L Weiss
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA
| | - Richard K Wilson
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, USA
| | - Xin Zhao
- CAS Center for Influenza Research and Early-warning (CASCIRE), Chinese Academy of Sciences, Beijing, China
| | - Serap Aksoy
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.
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10
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Toor IS, Rückerl D, Mair I, Thomson A, Rossi AG, Newby DE, Allen JE, Gray GA. Enhanced monocyte recruitment and delayed alternative macrophage polarization accompanies impaired repair following myocardial infarction in C57BL/6 compared to BALB/c mice. Clin Exp Immunol 2019; 198:83-93. [PMID: 31119724 PMCID: PMC6718279 DOI: 10.1111/cei.13330] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/15/2019] [Indexed: 12/24/2022] Open
Abstract
Activation of the innate immune response following myocardial infarction (MI) is essential for infarct repair. Preclinical models of MI commonly use C57BL/6 mice, which have a type 1‐dominant immune response, whereas other mouse strains such as BALB/c mice have a type 2‐dominant immune response. We compared C57BL/6 and BALB/c mice to investigate whether predisposition towards a proinflammatory phenotype influences the dynamics of the innate immune response to MI and associated infarct healing and the risk of cardiac rupture. MI was induced by permanent coronary artery ligation in 12–15‐week‐old male wild‐type BALB/c and C57BL/6 mice. Prior to MI, C57BL/6 mice had a lower proportion of CD206+ anti‐inflammatory macrophages in the heart and an expanded blood pool of proinflammatory Ly6Chigh monocytes in comparison to BALB/c mice. The systemic inflammatory response in C57BL/6 mice following MI was more pronounced, with greater peripheral blood Ly6Chigh monocytosis, splenic Ly6Chigh monocyte mobilization and myeloid cell infiltration of pericardial adipose tissue. This led to an increased and prolonged macrophage accumulation, as well as delayed transition towards anti‐inflammatory macrophage polarization in the infarct zone and surrounding tissues of C57BL/6 mice. These findings accompanied a higher rate of mortality due to cardiac rupture in C57BL/6 mice compared with BALB/c mice. We conclude that lower post‐MI survival of C57BL/6 mice over BALB/c mice is mediated in part by a more pronounced and prolonged inflammatory response. Outcomes in BALB/c mice highlight the therapeutic potential of modulating resolution of the innate immune response following MI for the benefit of successful infarct healing.
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Affiliation(s)
- I S Toor
- BHF/University Centre for Cardiovascular Science, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK
| | - D Rückerl
- Faculty of Biology, Medicine and Health, School of Biological Sciences, University of Manchester, Edinburgh, UK
| | - I Mair
- MRC Centre for Inflammation Research, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK
| | - A Thomson
- BHF/University Centre for Cardiovascular Science, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK
| | - A G Rossi
- MRC Centre for Inflammation Research, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK
| | - D E Newby
- BHF/University Centre for Cardiovascular Science, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK
| | - J E Allen
- Faculty of Biology, Medicine and Health, School of Biological Sciences, University of Manchester, Edinburgh, UK
| | - G A Gray
- BHF/University Centre for Cardiovascular Science, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK
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11
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Allen JE, Kassel WS, Piro NA. Synthesis, structures and characterization of complexes containing a 2,6-bis(guanidinyl)pyridine ligand on iron(II), cobalt(II), nickel(II), copper(I), copper(II) and zinc(II). Polyhedron 2018. [DOI: 10.1016/j.poly.2018.08.012] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
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12
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Sharma P, Allen JE, Gorrepati VS, Gupta N. Improving quality of care in patients with Barrett's esophagus by measuring and improving neoplasia detection rates. Gastrointest Endosc 2018; 87:1195-1197. [PMID: 29655434 DOI: 10.1016/j.gie.2018.01.033] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/26/2018] [Accepted: 01/28/2018] [Indexed: 02/08/2023]
Affiliation(s)
- Prateek Sharma
- Veterans Affairs Medical Center, Kansas City, Missouri, USA; University of Kansas School of Medicine, Kansas City, Kansas, USA
| | - James E Allen
- Veterans Affairs Medical Center, Kansas City, Missouri, USA; University of Kansas School of Medicine, Kansas City, Kansas, USA
| | | | - Neil Gupta
- Loyola University, Maywood, Illinois, USA
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13
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Abstract
Barrett's esophagus progresses to esophageal adenocarcinoma in a stepwise histological fashion of no dysplasia, low grade dysplasia, high grade dysplasia and cancer. Hence the progression to cancer from various histological stages is different. Progression to cancer from low grade dysplasia is highly variable in the literature due to high inter-observer variability between pathologists in diagnosing it. Studies have shown the utility of having confirmation of low grade dysplasia by expert pathologists or documenting its persistence on two subsequent endoscopies in order to unify the diagnosis. The treatment of low grade dysplasia is variable. In this article we summarize the diagnosis, evaluation and management of low grade dysplasia in Barrett's Esophagus.
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Affiliation(s)
- M Harrison
- Department of Internal Medicine, University of Kansas School of Medicine and Veterans Affairs Medical Center
| | - J E Allen
- Department of Internal Medicine, University of Kansas School of Medicine and Veterans Affairs Medical Center
| | - V S Gorrepati
- Department of Gastroenterology, Department of Veterans Affairs Medical Center, Kansas City, Missouri, USA
| | | | - P Sharma
- Department of Gastroenterology, Department of Veterans Affairs Medical Center, Kansas City, Missouri, USA
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14
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Kersey PJ, Allen JE, Allot A, Barba M, Boddu S, Bolt BJ, Carvalho-Silva D, Christensen M, Davis P, Grabmueller C, Kumar N, Liu Z, Maurel T, Moore B, McDowall MD, Maheswari U, Naamati G, Newman V, Ong CK, Paulini M, Pedro H, Perry E, Russell M, Sparrow H, Tapanari E, Taylor K, Vullo A, Williams G, Zadissia A, Olson A, Stein J, Wei S, Tello-Ruiz M, Ware D, Luciani A, Potter S, Finn RD, Urban M, Hammond-Kosack KE, Bolser DM, De Silva N, Howe KL, Langridge N, Maslen G, Staines DM, Yates A. Ensembl Genomes 2018: an integrated omics infrastructure for non-vertebrate species. Nucleic Acids Res 2018; 46:D802-D808. [PMID: 29092050 PMCID: PMC5753204 DOI: 10.1093/nar/gkx1011] [Citation(s) in RCA: 306] [Impact Index Per Article: 51.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2017] [Revised: 10/06/2017] [Accepted: 10/24/2017] [Indexed: 02/06/2023] Open
Abstract
Ensembl Genomes (http://www.ensemblgenomes.org) is an integrating resource for genome-scale data from non-vertebrate species, complementing the resources for vertebrate genomics developed in the Ensembl project (http://www.ensembl.org). Together, the two resources provide a consistent set of programmatic and interactive interfaces to a rich range of data including genome sequence, gene models, transcript sequence, genetic variation, and comparative analysis. This paper provides an update to the previous publications about the resource, with a focus on recent developments and expansions. These include the incorporation of almost 20 000 additional genome sequences and over 35 000 tracks of RNA-Seq data, which have been aligned to genomic sequence and made available for visualization. Other advances since 2015 include the release of the database in Resource Description Framework (RDF) format, a large increase in community-derived curation, a new high-performance protein sequence search, additional cross-references, improved annotation of non-protein-coding genes, and the launch of pre-release and archival sites. Collectively, these changes are part of a continuing response to the increasing quantity of publicly-available genome-scale data, and the consequent need to archive, integrate, annotate and disseminate these using automated, scalable methods.
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Affiliation(s)
- Paul Julian Kersey
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK
| | - James E Allen
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK
| | - Alexis Allot
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK
| | - Matthieu Barba
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK
| | - Sanjay Boddu
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK
| | - Bruce J Bolt
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK
| | - Denise Carvalho-Silva
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK
| | - Mikkel Christensen
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK
| | - Paul Davis
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK
| | - Christoph Grabmueller
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK
| | - Navin Kumar
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK
| | - Zicheng Liu
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK
| | - Thomas Maurel
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK
| | - Ben Moore
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK
| | - Mark D McDowall
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK
| | - Uma Maheswari
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK
| | - Guy Naamati
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK
| | - Victoria Newman
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK
| | - Chuang Kee Ong
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK
| | - Michael Paulini
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK
| | - Helder Pedro
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK
| | - Emily Perry
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK
| | - Matthew Russell
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK
| | - Helen Sparrow
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK
| | - Electra Tapanari
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK
| | - Kieron Taylor
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK
| | - Alessandro Vullo
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK
| | - Gareth Williams
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK
| | - Amonida Zadissia
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK
| | - Andrew Olson
- Cold Spring Harbor Laboratory, 1 Bungtown Rd, Cold Spring Harbor, NY 11724, USA
| | - Joshua Stein
- Cold Spring Harbor Laboratory, 1 Bungtown Rd, Cold Spring Harbor, NY 11724, USA
| | - Sharon Wei
- Cold Spring Harbor Laboratory, 1 Bungtown Rd, Cold Spring Harbor, NY 11724, USA
| | - Marcela Tello-Ruiz
- Cold Spring Harbor Laboratory, 1 Bungtown Rd, Cold Spring Harbor, NY 11724, USA
| | - Doreen Ware
- Cold Spring Harbor Laboratory, 1 Bungtown Rd, Cold Spring Harbor, NY 11724, USA
- USDA-ARS NAA Plant, Soil and Nutrition Laboratory Research Unit, Cornell University, Ithaca, NY 14853, USA
| | - Aurelien Luciani
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK
| | - Simon Potter
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK
| | - Robert D Finn
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK
| | - Martin Urban
- Rothamsted Research, Department of Biointeractions and Crop Protection, Harpenden, Hertfordshire, AL5 2JQ, UK
| | - Kim E Hammond-Kosack
- Rothamsted Research, Department of Biointeractions and Crop Protection, Harpenden, Hertfordshire, AL5 2JQ, UK
| | - Dan M Bolser
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK
| | - Nishadi De Silva
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK
| | - Kevin L Howe
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK
| | - Nicholas Langridge
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK
| | - Gareth Maslen
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK
| | - Daniel Michael Staines
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK
| | - Andrew Yates
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK
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15
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Abstract
Although advancements in endoscopic imaging of colorectal mucosa have outstripped the pace of research in the field, the potential clinical applications of these novel technologies are promising. Chief among these is the ability to diagnose colorectal polyps in vivo. This feature appears most applicable to diminuitive polyps, which have very little malignant potential yet represent over 70% of resected polyps. In an ideal application, the capability to predict diminutive hyperplastic polyp histology in vivo precludes the need for excision whereas dimunitive adenomas do require excision, but not necessarily histopathologic analysis if the diagnosis is made in vivo with adequate confidence. However, the vast array of new advanced imaging modalities and polyp classification tools have been difficult to reconcile. We aim to highlight the current status of real-time colorectal polyp diagnosis and identify the barriers that remain to its widespread implementation.
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Affiliation(s)
- James E Allen
- Veterans Affairs Medical Center and University of Kansas School of Medicine, Kansas City, USA
| | - Prateek Sharma
- Veterans Affairs Medical Center and University of Kansas School of Medicine, Kansas City, USA.
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16
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Howe TE, Varley I, Allen JE, Glossop A, McKechnie A. Scheduling terminology for oral and maxillofacial surgery. Are we speaking a universal language? Br J Oral Maxillofac Surg 2016; 55:407-409. [PMID: 27876547 DOI: 10.1016/j.bjoms.2016.10.025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2016] [Accepted: 10/20/2016] [Indexed: 10/20/2022]
Abstract
Use of a universal vocabulary to assist with the scheduling of operations has been shown to considerably reduce delays and improve the use of theatre resources. Within the UK the National Confidential Enquiry into Patient Outcome and Death (NCEPOD) has established a classification to assist with the triage of both emergency and non-emergency operating lists. We completed a survey to assess the uptake and understanding of this classification when scheduling maxillofacial operations. From a list of eight scheduling terms, respondents had to choose one each for 20 different clinical situations (that represented equally) immediate, urgent, expedited, and elective operations as defined by them. A total of 50 surveys were collated. Only 65% of answers selected represented NCPOD terms. 25% of answers represented a term higher and 18% a term lower, on the scale of intervention for the same category of situation. Current NCEPOD terms do not seem to be used universally and are poorly understood. Considerable variation in terminology exists when scheduling maxillofacial operations.
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Affiliation(s)
- T E Howe
- Department of Maxillofacial Surgery, Sheffield Teaching Hospitals NHS Foundation Trust, Royal Hallamshire Hospital, Sheffield S10 2JF, United Kingdom.
| | - I Varley
- Academic Unit of Oral & Maxillofacial Surgery, University of Sheffield, 19 Claremont Crescent, Sheffield S10 2TA, United Kingdom.
| | - J E Allen
- Department of Maxillofacial Surgery, Sheffield Teaching Hospitals NHS Foundation Trust, Royal Hallamshire Hospital, Sheffield S10 2JF, United Kingdom.
| | - A Glossop
- Department of Anaesthetics, Sheffield Teaching Hospitals NHS Foundation Trust, Royal Hallamshire Hospital, Sheffield S10 2JF, United Kingdom.
| | - A McKechnie
- Academic Unit of Oral & Maxillofacial Surgery, University of Sheffield, 19 Claremont Crescent, Sheffield S10 2TA, United Kingdom.
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17
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Affiliation(s)
- J E Allen
- Institute of Immunology & Infection Research, University of Edinburgh, Edinburgh, UK
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18
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Kersey PJ, Allen JE, Armean I, Boddu S, Bolt BJ, Carvalho-Silva D, Christensen M, Davis P, Falin LJ, Grabmueller C, Humphrey J, Kerhornou A, Khobova J, Aranganathan NK, Langridge N, Lowy E, McDowall MD, Maheswari U, Nuhn M, Ong CK, Overduin B, Paulini M, Pedro H, Perry E, Spudich G, Tapanari E, Walts B, Williams G, Tello-Ruiz M, Stein J, Wei S, Ware D, Bolser DM, Howe KL, Kulesha E, Lawson D, Maslen G, Staines DM. Ensembl Genomes 2016: more genomes, more complexity. Nucleic Acids Res 2015; 44:D574-80. [PMID: 26578574 PMCID: PMC4702859 DOI: 10.1093/nar/gkv1209] [Citation(s) in RCA: 431] [Impact Index Per Article: 47.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2015] [Accepted: 10/27/2015] [Indexed: 12/14/2022] Open
Abstract
Ensembl Genomes (http://www.ensemblgenomes.org) is an integrating resource for genome-scale data from non-vertebrate species, complementing the resources for vertebrate genomics developed in the context of the Ensembl project (http://www.ensembl.org). Together, the two resources provide a consistent set of programmatic and interactive interfaces to a rich range of data including reference sequence, gene models, transcriptional data, genetic variation and comparative analysis. This paper provides an update to the previous publications about the resource, with a focus on recent developments. These include the development of new analyses and views to represent polyploid genomes (of which bread wheat is the primary exemplar); and the continued up-scaling of the resource, which now includes over 23 000 bacterial genomes, 400 fungal genomes and 100 protist genomes, in addition to 55 genomes from invertebrate metazoa and 39 genomes from plants. This dramatic increase in the number of included genomes is one part of a broader effort to automate the integration of archival data (genome sequence, but also associated RNA sequence data and variant calls) within the context of reference genomes and make it available through the Ensembl user interfaces.
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Affiliation(s)
- Paul Julian Kersey
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Genome Campus, Hinxton, Cambridgeshire, CB10 1SD, UK
| | - James E Allen
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Genome Campus, Hinxton, Cambridgeshire, CB10 1SD, UK
| | - Irina Armean
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Genome Campus, Hinxton, Cambridgeshire, CB10 1SD, UK
| | - Sanjay Boddu
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Genome Campus, Hinxton, Cambridgeshire, CB10 1SD, UK
| | - Bruce J Bolt
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Genome Campus, Hinxton, Cambridgeshire, CB10 1SD, UK
| | - Denise Carvalho-Silva
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Genome Campus, Hinxton, Cambridgeshire, CB10 1SD, UK
| | - Mikkel Christensen
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Genome Campus, Hinxton, Cambridgeshire, CB10 1SD, UK
| | - Paul Davis
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Genome Campus, Hinxton, Cambridgeshire, CB10 1SD, UK
| | - Lee J Falin
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Genome Campus, Hinxton, Cambridgeshire, CB10 1SD, UK
| | - Christoph Grabmueller
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Genome Campus, Hinxton, Cambridgeshire, CB10 1SD, UK
| | - Jay Humphrey
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Genome Campus, Hinxton, Cambridgeshire, CB10 1SD, UK
| | - Arnaud Kerhornou
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Genome Campus, Hinxton, Cambridgeshire, CB10 1SD, UK
| | - Julia Khobova
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Genome Campus, Hinxton, Cambridgeshire, CB10 1SD, UK
| | - Naveen K Aranganathan
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Genome Campus, Hinxton, Cambridgeshire, CB10 1SD, UK
| | - Nicholas Langridge
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Genome Campus, Hinxton, Cambridgeshire, CB10 1SD, UK
| | - Ernesto Lowy
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Genome Campus, Hinxton, Cambridgeshire, CB10 1SD, UK
| | - Mark D McDowall
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Genome Campus, Hinxton, Cambridgeshire, CB10 1SD, UK
| | - Uma Maheswari
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Genome Campus, Hinxton, Cambridgeshire, CB10 1SD, UK
| | - Michael Nuhn
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Genome Campus, Hinxton, Cambridgeshire, CB10 1SD, UK
| | - Chuang Kee Ong
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Genome Campus, Hinxton, Cambridgeshire, CB10 1SD, UK
| | - Bert Overduin
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Genome Campus, Hinxton, Cambridgeshire, CB10 1SD, UK
| | - Michael Paulini
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Genome Campus, Hinxton, Cambridgeshire, CB10 1SD, UK
| | - Helder Pedro
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Genome Campus, Hinxton, Cambridgeshire, CB10 1SD, UK
| | - Emily Perry
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Genome Campus, Hinxton, Cambridgeshire, CB10 1SD, UK
| | - Giulietta Spudich
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Genome Campus, Hinxton, Cambridgeshire, CB10 1SD, UK
| | - Electra Tapanari
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Genome Campus, Hinxton, Cambridgeshire, CB10 1SD, UK
| | - Brandon Walts
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Genome Campus, Hinxton, Cambridgeshire, CB10 1SD, UK
| | - Gareth Williams
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Genome Campus, Hinxton, Cambridgeshire, CB10 1SD, UK
| | - Marcela Tello-Ruiz
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Genome Campus, Hinxton, Cambridgeshire, CB10 1SD, UK
| | - Joshua Stein
- Cold Spring Harbor Laboratory, 1 Bungtown Road, Cold Spring Harbor, NY 11724, USA
| | - Sharon Wei
- Cold Spring Harbor Laboratory, 1 Bungtown Road, Cold Spring Harbor, NY 11724, USA
| | - Doreen Ware
- Cold Spring Harbor Laboratory, 1 Bungtown Road, Cold Spring Harbor, NY 11724, USA USDA-ARS NAA Plant, Soil and Nutrition Laboratory Research Unit, Cornell University, Ithaca, NY 14853, USA
| | - Daniel M Bolser
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Genome Campus, Hinxton, Cambridgeshire, CB10 1SD, UK
| | - Kevin L Howe
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Genome Campus, Hinxton, Cambridgeshire, CB10 1SD, UK
| | - Eugene Kulesha
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Genome Campus, Hinxton, Cambridgeshire, CB10 1SD, UK
| | - Daniel Lawson
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Genome Campus, Hinxton, Cambridgeshire, CB10 1SD, UK
| | - Gareth Maslen
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Genome Campus, Hinxton, Cambridgeshire, CB10 1SD, UK
| | - Daniel M Staines
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Genome Campus, Hinxton, Cambridgeshire, CB10 1SD, UK
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19
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Neafsey DE, Waterhouse RM, Abai MR, Aganezov SS, Alekseyev MA, Allen JE, Amon J, Arcà B, Arensburger P, Artemov G, Assour LA, Basseri H, Berlin A, Birren BW, Blandin SA, Brockman AI, Burkot TR, Burt A, Chan CS, Chauve C, Chiu JC, Christensen M, Costantini C, Davidson VLM, Deligianni E, Dottorini T, Dritsou V, Gabriel SB, Guelbeogo WM, Hall AB, Han MV, Hlaing T, Hughes DST, Jenkins AM, Jiang X, Jungreis I, Kakani EG, Kamali M, Kemppainen P, Kennedy RC, Kirmitzoglou IK, Koekemoer LL, Laban N, Langridge N, Lawniczak MKN, Lirakis M, Lobo NF, Lowy E, MacCallum RM, Mao C, Maslen G, Mbogo C, McCarthy J, Michel K, Mitchell SN, Moore W, Murphy KA, Naumenko AN, Nolan T, Novoa EM, O'Loughlin S, Oringanje C, Oshaghi MA, Pakpour N, Papathanos PA, Peery AN, Povelones M, Prakash A, Price DP, Rajaraman A, Reimer LJ, Rinker DC, Rokas A, Russell TL, Sagnon N, Sharakhova MV, Shea T, Simão FA, Simard F, Slotman MA, Somboon P, Stegniy V, Struchiner CJ, Thomas GWC, Tojo M, Topalis P, Tubio JMC, Unger MF, Vontas J, Walton C, Wilding CS, Willis JH, Wu YC, Yan G, Zdobnov EM, Zhou X, Catteruccia F, Christophides GK, Collins FH, Cornman RS, Crisanti A, Donnelly MJ, Emrich SJ, Fontaine MC, Gelbart W, Hahn MW, Hansen IA, Howell PI, Kafatos FC, Kellis M, Lawson D, Louis C, Luckhart S, Muskavitch MAT, Ribeiro JM, Riehle MA, Sharakhov IV, Tu Z, Zwiebel LJ, Besansky NJ. Mosquito genomics. Highly evolvable malaria vectors: the genomes of 16 Anopheles mosquitoes. Science 2014; 347:1258522. [PMID: 25554792 DOI: 10.1126/science.1258522] [Citation(s) in RCA: 362] [Impact Index Per Article: 36.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
Abstract
Variation in vectorial capacity for human malaria among Anopheles mosquito species is determined by many factors, including behavior, immunity, and life history. To investigate the genomic basis of vectorial capacity and explore new avenues for vector control, we sequenced the genomes of 16 anopheline mosquito species from diverse locations spanning ~100 million years of evolution. Comparative analyses show faster rates of gene gain and loss, elevated gene shuffling on the X chromosome, and more intron losses, relative to Drosophila. Some determinants of vectorial capacity, such as chemosensory genes, do not show elevated turnover but instead diversify through protein-sequence changes. This dynamism of anopheline genes and genomes may contribute to their flexible capacity to take advantage of new ecological niches, including adapting to humans as primary hosts.
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Affiliation(s)
- Daniel E Neafsey
- Genome Sequencing and Analysis Program, Broad Institute, 415 Main Street, Cambridge, MA 02142, USA.
| | - Robert M Waterhouse
- Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, 32 Vassar Street, Cambridge, MA 02139, USA. The Broad Institute of Massachusetts Institute of Technology and Harvard, 415 Main Street, Cambridge, MA 02142, USA. Department of Genetic Medicine and Development, University of Geneva Medical School, Rue Michel-Servet 1, 1211 Geneva, Switzerland. Swiss Institute of Bioinformatics, Rue Michel-Servet 1, 1211 Geneva, Switzerland
| | - Mohammad R Abai
- Department of Medical Entomology and Vector Control, School of Public Health and Institute of Health Researches, Tehran University of Medical Sciences, Tehran, Iran
| | - Sergey S Aganezov
- George Washington University, Department of Mathematics and Computational Biology Institute, 45085 University Drive, Ashburn, VA 20147, USA
| | - Max A Alekseyev
- George Washington University, Department of Mathematics and Computational Biology Institute, 45085 University Drive, Ashburn, VA 20147, USA
| | - James E Allen
- European Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - James Amon
- National Vector Borne Disease Control Programme, Ministry of Health, Tafea Province, Vanuatu
| | - Bruno Arcà
- Department of Public Health and Infectious Diseases, Division of Parasitology, Sapienza University of Rome, Piazzale Aldo Moro 5, 00185 Rome, Italy
| | - Peter Arensburger
- Department of Biological Sciences, California State Polytechnic-Pomona, 3801 West Temple Avenue, Pomona, CA 91768, USA
| | - Gleb Artemov
- Tomsk State University, 36 Lenina Avenue, Tomsk, Russia
| | - Lauren A Assour
- Department of Computer Science and Engineering, Eck Institute for Global Health, 211B Cushing Hall, University of Notre Dame, Notre Dame, IN 46556, USA
| | - Hamidreza Basseri
- Department of Medical Entomology and Vector Control, School of Public Health and Institute of Health Researches, Tehran University of Medical Sciences, Tehran, Iran
| | - Aaron Berlin
- Genome Sequencing and Analysis Program, Broad Institute, 415 Main Street, Cambridge, MA 02142, USA
| | - Bruce W Birren
- Genome Sequencing and Analysis Program, Broad Institute, 415 Main Street, Cambridge, MA 02142, USA
| | - Stephanie A Blandin
- Inserm, U963, F-67084 Strasbourg, France. CNRS, UPR9022, IBMC, F-67084 Strasbourg, France
| | - Andrew I Brockman
- Department of Life Sciences, Imperial College London, South Kensington Campus, London SW7 2AZ, UK
| | - Thomas R Burkot
- Faculty of Medicine, Health and Molecular Science, Australian Institute of Tropical Health Medicine, James Cook University, Cairns 4870, Australia
| | - Austin Burt
- Department of Life Sciences, Imperial College London, Silwood Park Campus, Ascot SL5 7PY, UK
| | - Clara S Chan
- Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, 32 Vassar Street, Cambridge, MA 02139, USA. The Broad Institute of Massachusetts Institute of Technology and Harvard, 415 Main Street, Cambridge, MA 02142, USA
| | - Cedric Chauve
- Department of Mathematics, Simon Fraser University, 8888 University Drive, Burnaby, BC V5A 1S6, Canada
| | - Joanna C Chiu
- Department of Entomology and Nematology, One Shields Avenue, University of California-Davis, Davis, CA 95616, USA
| | - Mikkel Christensen
- European Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Carlo Costantini
- Institut de Recherche pour le Développement, Unités Mixtes de Recherche Maladies Infectieuses et Vecteurs Écologie, Génétique, Évolution et Contrôle, 911, Avenue Agropolis, BP 64501 Montpellier, France
| | - Victoria L M Davidson
- Division of Biology, Kansas State University, 271 Chalmers Hall, Manhattan, KS 66506, USA
| | - Elena Deligianni
- Institute of Molecular Biology and Biotechnology, Foundation for Research and Technology, Hellas, Nikolaou Plastira 100 GR-70013, Heraklion, Crete, Greece
| | - Tania Dottorini
- Department of Life Sciences, Imperial College London, South Kensington Campus, London SW7 2AZ, UK
| | - Vicky Dritsou
- Centre of Functional Genomics, University of Perugia, Perugia, Italy
| | - Stacey B Gabriel
- Genomics Platform, Broad Institute, 415 Main Street, Cambridge, MA 02142, USA
| | - Wamdaogo M Guelbeogo
- Centre National de Recherche et de Formation sur le Paludisme, Ouagadougou 01 BP 2208, Burkina Faso
| | - Andrew B Hall
- Program of Genetics, Bioinformatics, and Computational Biology, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA
| | - Mira V Han
- School of Life Sciences, University of Nevada, Las Vegas, NV 89154, USA
| | - Thaung Hlaing
- Department of Medical Research, No. 5 Ziwaka Road, Dagon Township, Yangon 11191, Myanmar
| | - Daniel S T Hughes
- European Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK. Baylor College of Medicine, 1 Baylor Plaza, Houston, TX 77030, USA
| | - Adam M Jenkins
- Boston College, 140 Commonwealth Avenue, Chestnut Hill, MA 02467, USA
| | - Xiaofang Jiang
- Department of Biochemistry, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA. Program of Genetics, Bioinformatics, and Computational Biology, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA
| | - Irwin Jungreis
- Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, 32 Vassar Street, Cambridge, MA 02139, USA. The Broad Institute of Massachusetts Institute of Technology and Harvard, 415 Main Street, Cambridge, MA 02142, USA
| | - Evdoxia G Kakani
- Harvard School of Public Health, Department of Immunology and Infectious Diseases, Boston, MA 02115, USA. Dipartimento di Medicina Sperimentale e Scienze Biochimiche, Università degli Studi di Perugia, Perugia, Italy
| | - Maryam Kamali
- Department of Entomology, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA
| | - Petri Kemppainen
- Computational Evolutionary Biology Group, Faculty of Life Sciences, University of Manchester, Oxford Road, Manchester M13 9PT, UK
| | - Ryan C Kennedy
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, CA 94143, USA
| | - Ioannis K Kirmitzoglou
- Department of Life Sciences, Imperial College London, South Kensington Campus, London SW7 2AZ, UK. Bioinformatics Research Laboratory, Department of Biological Sciences, New Campus, University of Cyprus, CY 1678 Nicosia, Cyprus
| | - Lizette L Koekemoer
- Wits Research Institute for Malaria, Faculty of Health Sciences, and Vector Control Reference Unit, National Institute for Communicable Diseases of the National Health Laboratory Service, Sandringham 2131, Johannesburg, South Africa
| | - Njoroge Laban
- National Museums of Kenya, P.O. Box 40658-00100, Nairobi, Kenya
| | - Nicholas Langridge
- European Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Mara K N Lawniczak
- Department of Life Sciences, Imperial College London, South Kensington Campus, London SW7 2AZ, UK
| | - Manolis Lirakis
- Department of Biology, University of Crete, 700 13 Heraklion, Greece
| | - Neil F Lobo
- Eck Institute for Global Health and Department of Biological Sciences, University of Notre Dame, 317 Galvin Life Sciences Building, Notre Dame, IN 46556, USA
| | - Ernesto Lowy
- European Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Robert M MacCallum
- Department of Life Sciences, Imperial College London, South Kensington Campus, London SW7 2AZ, UK
| | - Chunhong Mao
- Virginia Bioinformatics Institute, 1015 Life Science Circle, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA
| | - Gareth Maslen
- European Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Charles Mbogo
- Kenya Medical Research Institute-Wellcome Trust Research Programme, Centre for Geographic Medicine Research - Coast, P.O. Box 230-80108, Kilifi, Kenya
| | - Jenny McCarthy
- Department of Biological Sciences, California State Polytechnic-Pomona, 3801 West Temple Avenue, Pomona, CA 91768, USA
| | - Kristin Michel
- Division of Biology, Kansas State University, 271 Chalmers Hall, Manhattan, KS 66506, USA
| | - Sara N Mitchell
- Harvard School of Public Health, Department of Immunology and Infectious Diseases, Boston, MA 02115, USA
| | - Wendy Moore
- Department of Entomology, 1140 East South Campus Drive, Forbes 410, University of Arizona, Tucson, AZ 85721, USA
| | - Katherine A Murphy
- Department of Entomology and Nematology, One Shields Avenue, University of California-Davis, Davis, CA 95616, USA
| | - Anastasia N Naumenko
- Department of Entomology, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA
| | - Tony Nolan
- Department of Life Sciences, Imperial College London, South Kensington Campus, London SW7 2AZ, UK
| | - Eva M Novoa
- Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, 32 Vassar Street, Cambridge, MA 02139, USA. The Broad Institute of Massachusetts Institute of Technology and Harvard, 415 Main Street, Cambridge, MA 02142, USA
| | - Samantha O'Loughlin
- Department of Life Sciences, Imperial College London, Silwood Park Campus, Ascot SL5 7PY, UK
| | - Chioma Oringanje
- Department of Entomology, 1140 East South Campus Drive, Forbes 410, University of Arizona, Tucson, AZ 85721, USA
| | - Mohammad A Oshaghi
- Department of Medical Entomology and Vector Control, School of Public Health and Institute of Health Researches, Tehran University of Medical Sciences, Tehran, Iran
| | - Nazzy Pakpour
- Department of Medical Microbiology and Immunology, School of Medicine, University of California Davis, One Shields Avenue, Davis, CA 95616, USA
| | - Philippos A Papathanos
- Department of Life Sciences, Imperial College London, South Kensington Campus, London SW7 2AZ, UK. Centre of Functional Genomics, University of Perugia, Perugia, Italy
| | - Ashley N Peery
- Department of Entomology, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA
| | - Michael Povelones
- Department of Pathobiology, University of Pennsylvania School of Veterinary Medicine, 3800 Spruce Street, Philadelphia, PA 19104, USA
| | - Anil Prakash
- Regional Medical Research Centre NE, Indian Council of Medical Research, P.O. Box 105, Dibrugarh-786 001, Assam, India
| | - David P Price
- Department of Biology, New Mexico State University, Las Cruces, NM 88003, USA. Molecular Biology Program, New Mexico State University, Las Cruces, NM 88003, USA
| | - Ashok Rajaraman
- Department of Mathematics, Simon Fraser University, 8888 University Drive, Burnaby, BC V5A 1S6, Canada
| | - Lisa J Reimer
- Department of Vector Biology, Liverpool School of Tropical Medicine, Pembroke Place, Liverpool, L3 5QA, UK
| | - David C Rinker
- Center for Human Genetics Research, Vanderbilt University Medical Center, Nashville, TN 37235, USA
| | - Antonis Rokas
- Center for Human Genetics Research, Vanderbilt University Medical Center, Nashville, TN 37235, USA. Department of Biological Sciences, Vanderbilt University, Nashville, TN 37235, USA
| | - Tanya L Russell
- Faculty of Medicine, Health and Molecular Science, Australian Institute of Tropical Health Medicine, James Cook University, Cairns 4870, Australia
| | - N'Fale Sagnon
- Centre National de Recherche et de Formation sur le Paludisme, Ouagadougou 01 BP 2208, Burkina Faso
| | - Maria V Sharakhova
- Department of Entomology, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA
| | - Terrance Shea
- Genome Sequencing and Analysis Program, Broad Institute, 415 Main Street, Cambridge, MA 02142, USA
| | - Felipe A Simão
- Department of Genetic Medicine and Development, University of Geneva Medical School, Rue Michel-Servet 1, 1211 Geneva, Switzerland. Swiss Institute of Bioinformatics, Rue Michel-Servet 1, 1211 Geneva, Switzerland
| | - Frederic Simard
- Institut de Recherche pour le Développement, Unités Mixtes de Recherche Maladies Infectieuses et Vecteurs Écologie, Génétique, Évolution et Contrôle, 911, Avenue Agropolis, BP 64501 Montpellier, France
| | - Michel A Slotman
- Department of Entomology, Texas A&M University, College Station, TX 77807, USA
| | - Pradya Somboon
- Department of Parasitology, Faculty of Medicine, Chiang Mai University, Chiang Mai 50200, Thailand
| | | | - Claudio J Struchiner
- Fundação Oswaldo Cruz, Avenida Brasil 4365, RJ Brazil. Instituto de Medicina Social, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Gregg W C Thomas
- School of Informatics and Computing, Indiana University, Bloomington, IN 47405, USA
| | - Marta Tojo
- Department of Physiology, School of Medicine, Center for Research in Molecular Medicine and Chronic Diseases, Instituto de Investigaciones Sanitarias, University of Santiago de Compostela, Santiago de Compostela, A Coruña, Spain
| | - Pantelis Topalis
- Institute of Molecular Biology and Biotechnology, Foundation for Research and Technology, Hellas, Nikolaou Plastira 100 GR-70013, Heraklion, Crete, Greece
| | - José M C Tubio
- Wellcome Trust Sanger Institute, Hinxton, Cambridgeshire, CB10 1SA, UK
| | - Maria F Unger
- Eck Institute for Global Health and Department of Biological Sciences, University of Notre Dame, 317 Galvin Life Sciences Building, Notre Dame, IN 46556, USA
| | - John Vontas
- Department of Biology, University of Crete, 700 13 Heraklion, Greece
| | - Catherine Walton
- Computational Evolutionary Biology Group, Faculty of Life Sciences, University of Manchester, Oxford Road, Manchester M13 9PT, UK
| | - Craig S Wilding
- School of Natural Sciences and Psychology, Liverpool John Moores University, Liverpool L3 3AF, UK
| | - Judith H Willis
- Department of Cellular Biology, University of Georgia, Athens, GA 30602, USA
| | - Yi-Chieh Wu
- Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, 32 Vassar Street, Cambridge, MA 02139, USA. The Broad Institute of Massachusetts Institute of Technology and Harvard, 415 Main Street, Cambridge, MA 02142, USA. Department of Computer Science, Harvey Mudd College, Claremont, CA 91711, USA
| | - Guiyun Yan
- Program in Public Health, College of Health Sciences, University of California, Irvine, Hewitt Hall, Irvine, CA 92697, USA
| | - Evgeny M Zdobnov
- Department of Genetic Medicine and Development, University of Geneva Medical School, Rue Michel-Servet 1, 1211 Geneva, Switzerland. Swiss Institute of Bioinformatics, Rue Michel-Servet 1, 1211 Geneva, Switzerland
| | - Xiaofan Zhou
- Department of Biological Sciences, Vanderbilt University, Nashville, TN 37235, USA
| | - Flaminia Catteruccia
- Harvard School of Public Health, Department of Immunology and Infectious Diseases, Boston, MA 02115, USA. Dipartimento di Medicina Sperimentale e Scienze Biochimiche, Università degli Studi di Perugia, Perugia, Italy
| | - George K Christophides
- Department of Life Sciences, Imperial College London, South Kensington Campus, London SW7 2AZ, UK
| | - Frank H Collins
- Eck Institute for Global Health and Department of Biological Sciences, University of Notre Dame, 317 Galvin Life Sciences Building, Notre Dame, IN 46556, USA
| | - Robert S Cornman
- Department of Cellular Biology, University of Georgia, Athens, GA 30602, USA
| | - Andrea Crisanti
- Department of Life Sciences, Imperial College London, South Kensington Campus, London SW7 2AZ, UK. Centre of Functional Genomics, University of Perugia, Perugia, Italy
| | - Martin J Donnelly
- Department of Vector Biology, Liverpool School of Tropical Medicine, Pembroke Place, Liverpool, L3 5QA, UK. Malaria Programme, Wellcome Trust Sanger Institute, Cambridge CB10 1SJ, UK
| | - Scott J Emrich
- Department of Computer Science and Engineering, Eck Institute for Global Health, 211B Cushing Hall, University of Notre Dame, Notre Dame, IN 46556, USA
| | - Michael C Fontaine
- Eck Institute for Global Health and Department of Biological Sciences, University of Notre Dame, 317 Galvin Life Sciences Building, Notre Dame, IN 46556, USA. Centre of Evolutionary and Ecological Studies (Marine Evolution and Conservation group), University of Groningen, Nijenborgh 7, NL-9747 AG Groningen, Netherlands
| | - William Gelbart
- Department of Molecular and Cellular Biology, Harvard University, 16 Divinity Avenue, Cambridge, MA 02138, USA
| | - Matthew W Hahn
- Department of Biology, Indiana University, Bloomington, IN 47405, USA. School of Informatics and Computing, Indiana University, Bloomington, IN 47405, USA
| | - Immo A Hansen
- Department of Biology, New Mexico State University, Las Cruces, NM 88003, USA. Molecular Biology Program, New Mexico State University, Las Cruces, NM 88003, USA
| | - Paul I Howell
- Centers for Disease Control and Prevention, 1600 Clifton Road NE MSG49, Atlanta, GA 30329, USA
| | - Fotis C Kafatos
- Department of Life Sciences, Imperial College London, South Kensington Campus, London SW7 2AZ, UK
| | - Manolis Kellis
- Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, 32 Vassar Street, Cambridge, MA 02139, USA. The Broad Institute of Massachusetts Institute of Technology and Harvard, 415 Main Street, Cambridge, MA 02142, USA
| | - Daniel Lawson
- European Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Christos Louis
- Department of Biology, University of Crete, 700 13 Heraklion, Greece. Institute of Molecular Biology and Biotechnology, Foundation for Research and Technology, Hellas, Nikolaou Plastira 100 GR-70013, Heraklion, Crete, Greece. Centre of Functional Genomics, University of Perugia, Perugia, Italy
| | - Shirley Luckhart
- Department of Medical Microbiology and Immunology, School of Medicine, University of California Davis, One Shields Avenue, Davis, CA 95616, USA
| | - Marc A T Muskavitch
- Boston College, 140 Commonwealth Avenue, Chestnut Hill, MA 02467, USA. Biogen Idec, 14 Cambridge Center, Cambridge, MA 02142, USA
| | - José M Ribeiro
- Laboratory of Malaria and Vector Research, National Institute of Allergy and Infectious Diseases, 12735 Twinbrook Parkway, Rockville, MD 20852, USA
| | - Michael A Riehle
- Department of Entomology, 1140 East South Campus Drive, Forbes 410, University of Arizona, Tucson, AZ 85721, USA
| | - Igor V Sharakhov
- Department of Entomology, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA. Program of Genetics, Bioinformatics, and Computational Biology, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA
| | - Zhijian Tu
- Program of Genetics, Bioinformatics, and Computational Biology, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA. Department of Biochemistry, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA
| | - Laurence J Zwiebel
- Departments of Biological Sciences and Pharmacology, Institutes for Chemical Biology, Genetics and Global Health, Vanderbilt University and Medical Center, Nashville, TN 37235, USA
| | - Nora J Besansky
- Eck Institute for Global Health and Department of Biological Sciences, University of Notre Dame, 317 Galvin Life Sciences Building, Notre Dame, IN 46556, USA.
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Whelan S, Allen JE, Blackburne BP, Talavera D. ModelOMatic: fast and automated model selection between RY, nucleotide, amino acid, and codon substitution models. Syst Biol 2014; 64:42-55. [PMID: 25209223 DOI: 10.1093/sysbio/syu062] [Citation(s) in RCA: 38] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Molecular phylogenetics is a powerful tool for inferring both the process and pattern of evolution from genomic sequence data. Statistical approaches, such as maximum likelihood and Bayesian inference, are now established as the preferred methods of inference. The choice of models that a researcher uses for inference is of critical importance, and there are established methods for model selection conditioned on a particular type of data, such as nucleotides, amino acids, or codons. A major limitation of existing model selection approaches is that they can only compare models acting upon a single type of data. Here, we extend model selection to allow comparisons between models describing different types of data by introducing the idea of adapter functions, which project aggregated models onto the originally observed sequence data. These projections are implemented in the program ModelOMatic and used to perform model selection on 3722 families from the PANDIT database, 68 genes from an arthropod phylogenomic data set, and 248 genes from a vertebrate phylogenomic data set. For the PANDIT and arthropod data, we find that amino acid models are selected for the overwhelming majority of alignments; with progressively smaller numbers of alignments selecting codon and nucleotide models, and no families selecting RY-based models. In contrast, nearly all alignments from the vertebrate data set select codon-based models. The sequence divergence, the number of sequences, and the degree of selection acting upon the protein sequences may contribute to explaining this variation in model selection. Our ModelOMatic program is fast, with most families from PANDIT taking fewer than 150 s to complete, and should therefore be easily incorporated into existing phylogenetic pipelines. ModelOMatic is available at https://code.google.com/p/modelomatic/.
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Affiliation(s)
- Simon Whelan
- Evolutionary Biology, Evolutionary Biology Centre, Uppsala University, Uppsala 75236, Sweden and Faculty of Life Sciences, University of Manchester, Manchester, UK Evolutionary Biology, Evolutionary Biology Centre, Uppsala University, Uppsala 75236, Sweden and Faculty of Life Sciences, University of Manchester, Manchester, UK
| | - James E Allen
- Evolutionary Biology, Evolutionary Biology Centre, Uppsala University, Uppsala 75236, Sweden and Faculty of Life Sciences, University of Manchester, Manchester, UK
| | - Benjamin P Blackburne
- Evolutionary Biology, Evolutionary Biology Centre, Uppsala University, Uppsala 75236, Sweden and Faculty of Life Sciences, University of Manchester, Manchester, UK
| | - David Talavera
- Evolutionary Biology, Evolutionary Biology Centre, Uppsala University, Uppsala 75236, Sweden and Faculty of Life Sciences, University of Manchester, Manchester, UK
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21
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Abstract
Phylogenetic inference is widely used to investigate the relationships between homologous sequences. RNA molecules have played a key role in these studies because they are present throughout life and tend to evolve slowly. Phylogenetic inference has been shown to be dependent on the substitution model used. A wide range of models have been developed to describe RNA evolution, either with 16 states describing all possible canonical base pairs or with 7 states where the 10 mismatched nucleotides are reduced to a single state. Formal model selection has become a standard practice for choosing an inferential model and works well for comparing models of a specific type, such as comparisons within nucleotide models or within amino acid models. Model selection cannot function across different sized state spaces because the likelihoods are conditioned on different data. Here, we introduce statistical state-space projection methods that allow the direct comparison of likelihoods between nucleotide models and 7-state and 16-state RNA models. To demonstrate the general applicability of our new methods, we extract 287 RNA families from genomic alignments and perform model selection. We find that in 281/287 families, RNA models are selected in preference to nucleotide models, with simple 7-state RNA models selected for more conserved families with shorter stems and more complex 16-state RNA models selected for more divergent families with longer stems. Other factors, such as the function of the RNA molecule or the GC-content, have limited impact on model selection. Our models and model selection methods are freely available in the open-source PHASE 3.0 software.
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Affiliation(s)
- James E Allen
- Faculty of Life Sciences, University of Manchester, Manchester, United Kingdom
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22
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Abstract
CONTEXT As today's rural hospitals have struggled with financial sustainability for the past 2 decades, it is critical to understand their value relative to alternatives, such as rural health clinics and private practices. PURPOSE To estimate the willingness-to-pay for specific attributes of rural health care facilities in rural Kentucky to determine which services and operational characteristics are most valued by rural residents. METHODOLOGY We fitted choice experiment data from 769 respondents in 10 rural Kentucky counties to a conditional logit model and used the results to estimate willingness-to-pay for attributes in several categories, including hours open, types of insurance accepted, and availability of health care professionals and specialized care. FINDINGS Acceptance of Medicaid/Medicare with use of a sliding fee scale versus acceptance of only private insurance was the most valued attribute. Presence of full diagnostic services, an emergency room, and 24-hour/7-day-per-week access were also highly valued. Conversely, the presence of specialized care, such as physical therapy, cancer care, or dialysis, was not valued. In total, respondents were willing to pay $225 more annually to support a hospital relative to a rural health clinic. CONCLUSION Rural Kentuckians value the services, convenience, and security that rural hospitals offer, though they are not willing to pay more for specialized care that may be available in larger medical treatment centers. The results also inform which attributes might be added to existing rural health facilities to make them more valuable to local residents.
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Affiliation(s)
- James E Allen
- Community and Economic Development Initiative of Kentucky, University of Kentucky, Lexington, Kentucky
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23
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Kersey PJ, Allen JE, Christensen M, Davis P, Falin LJ, Grabmueller C, Hughes DST, Humphrey J, Kerhornou A, Khobova J, Langridge N, McDowall MD, Maheswari U, Maslen G, Nuhn M, Ong CK, Paulini M, Pedro H, Toneva I, Tuli MA, Walts B, Williams G, Wilson D, Youens-Clark K, Monaco MK, Stein J, Wei X, Ware D, Bolser DM, Howe KL, Kulesha E, Lawson D, Staines DM. Ensembl Genomes 2013: scaling up access to genome-wide data. Nucleic Acids Res 2014; 42:D546-52. [PMID: 24163254 PMCID: PMC3965094 DOI: 10.1093/nar/gkt979] [Citation(s) in RCA: 180] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2013] [Accepted: 10/01/2013] [Indexed: 12/20/2022] Open
Abstract
Ensembl Genomes (http://www.ensemblgenomes.org) is an integrating resource for genome-scale data from non-vertebrate species. The project exploits and extends technologies for genome annotation, analysis and dissemination, developed in the context of the vertebrate-focused Ensembl project, and provides a complementary set of resources for non-vertebrate species through a consistent set of programmatic and interactive interfaces. These provide access to data including reference sequence, gene models, transcriptional data, polymorphisms and comparative analysis. This article provides an update to the previous publications about the resource, with a focus on recent developments. These include the addition of important new genomes (and related data sets) including crop plants, vectors of human disease and eukaryotic pathogens. In addition, the resource has scaled up its representation of bacterial genomes, and now includes the genomes of over 9000 bacteria. Specific extensions to the web and programmatic interfaces have been developed to support users in navigating these large data sets. Looking forward, analytic tools to allow targeted selection of data for visualization and download are likely to become increasingly important in future as the number of available genomes increases within all domains of life, and some of the challenges faced in representing bacterial data are likely to become commonplace for eukaryotes in future.
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Affiliation(s)
- Paul Julian Kersey
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SD, UK, Wellcome Trust Sanger Centre, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SA, UK, Cold Spring Harbor Laboratory, 1 Bungtown Rd, Cold Spring Harbor, NY 11724, USA and USDA-ARS, Cornell University, Ithaca, NY, 14853, USA
| | - James E. Allen
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SD, UK, Wellcome Trust Sanger Centre, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SA, UK, Cold Spring Harbor Laboratory, 1 Bungtown Rd, Cold Spring Harbor, NY 11724, USA and USDA-ARS, Cornell University, Ithaca, NY, 14853, USA
| | - Mikkel Christensen
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SD, UK, Wellcome Trust Sanger Centre, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SA, UK, Cold Spring Harbor Laboratory, 1 Bungtown Rd, Cold Spring Harbor, NY 11724, USA and USDA-ARS, Cornell University, Ithaca, NY, 14853, USA
| | - Paul Davis
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SD, UK, Wellcome Trust Sanger Centre, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SA, UK, Cold Spring Harbor Laboratory, 1 Bungtown Rd, Cold Spring Harbor, NY 11724, USA and USDA-ARS, Cornell University, Ithaca, NY, 14853, USA
| | - Lee J. Falin
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SD, UK, Wellcome Trust Sanger Centre, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SA, UK, Cold Spring Harbor Laboratory, 1 Bungtown Rd, Cold Spring Harbor, NY 11724, USA and USDA-ARS, Cornell University, Ithaca, NY, 14853, USA
| | - Christoph Grabmueller
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SD, UK, Wellcome Trust Sanger Centre, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SA, UK, Cold Spring Harbor Laboratory, 1 Bungtown Rd, Cold Spring Harbor, NY 11724, USA and USDA-ARS, Cornell University, Ithaca, NY, 14853, USA
| | - Daniel Seth Toney Hughes
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SD, UK, Wellcome Trust Sanger Centre, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SA, UK, Cold Spring Harbor Laboratory, 1 Bungtown Rd, Cold Spring Harbor, NY 11724, USA and USDA-ARS, Cornell University, Ithaca, NY, 14853, USA
| | - Jay Humphrey
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SD, UK, Wellcome Trust Sanger Centre, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SA, UK, Cold Spring Harbor Laboratory, 1 Bungtown Rd, Cold Spring Harbor, NY 11724, USA and USDA-ARS, Cornell University, Ithaca, NY, 14853, USA
| | - Arnaud Kerhornou
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SD, UK, Wellcome Trust Sanger Centre, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SA, UK, Cold Spring Harbor Laboratory, 1 Bungtown Rd, Cold Spring Harbor, NY 11724, USA and USDA-ARS, Cornell University, Ithaca, NY, 14853, USA
| | - Julia Khobova
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SD, UK, Wellcome Trust Sanger Centre, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SA, UK, Cold Spring Harbor Laboratory, 1 Bungtown Rd, Cold Spring Harbor, NY 11724, USA and USDA-ARS, Cornell University, Ithaca, NY, 14853, USA
| | - Nicholas Langridge
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SD, UK, Wellcome Trust Sanger Centre, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SA, UK, Cold Spring Harbor Laboratory, 1 Bungtown Rd, Cold Spring Harbor, NY 11724, USA and USDA-ARS, Cornell University, Ithaca, NY, 14853, USA
| | - Mark D. McDowall
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SD, UK, Wellcome Trust Sanger Centre, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SA, UK, Cold Spring Harbor Laboratory, 1 Bungtown Rd, Cold Spring Harbor, NY 11724, USA and USDA-ARS, Cornell University, Ithaca, NY, 14853, USA
| | - Uma Maheswari
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SD, UK, Wellcome Trust Sanger Centre, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SA, UK, Cold Spring Harbor Laboratory, 1 Bungtown Rd, Cold Spring Harbor, NY 11724, USA and USDA-ARS, Cornell University, Ithaca, NY, 14853, USA
| | - Gareth Maslen
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SD, UK, Wellcome Trust Sanger Centre, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SA, UK, Cold Spring Harbor Laboratory, 1 Bungtown Rd, Cold Spring Harbor, NY 11724, USA and USDA-ARS, Cornell University, Ithaca, NY, 14853, USA
| | - Michael Nuhn
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SD, UK, Wellcome Trust Sanger Centre, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SA, UK, Cold Spring Harbor Laboratory, 1 Bungtown Rd, Cold Spring Harbor, NY 11724, USA and USDA-ARS, Cornell University, Ithaca, NY, 14853, USA
| | - Chuang Kee Ong
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SD, UK, Wellcome Trust Sanger Centre, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SA, UK, Cold Spring Harbor Laboratory, 1 Bungtown Rd, Cold Spring Harbor, NY 11724, USA and USDA-ARS, Cornell University, Ithaca, NY, 14853, USA
| | - Michael Paulini
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SD, UK, Wellcome Trust Sanger Centre, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SA, UK, Cold Spring Harbor Laboratory, 1 Bungtown Rd, Cold Spring Harbor, NY 11724, USA and USDA-ARS, Cornell University, Ithaca, NY, 14853, USA
| | - Helder Pedro
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SD, UK, Wellcome Trust Sanger Centre, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SA, UK, Cold Spring Harbor Laboratory, 1 Bungtown Rd, Cold Spring Harbor, NY 11724, USA and USDA-ARS, Cornell University, Ithaca, NY, 14853, USA
| | - Iliana Toneva
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SD, UK, Wellcome Trust Sanger Centre, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SA, UK, Cold Spring Harbor Laboratory, 1 Bungtown Rd, Cold Spring Harbor, NY 11724, USA and USDA-ARS, Cornell University, Ithaca, NY, 14853, USA
| | - Mary Ann Tuli
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SD, UK, Wellcome Trust Sanger Centre, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SA, UK, Cold Spring Harbor Laboratory, 1 Bungtown Rd, Cold Spring Harbor, NY 11724, USA and USDA-ARS, Cornell University, Ithaca, NY, 14853, USA
| | - Brandon Walts
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SD, UK, Wellcome Trust Sanger Centre, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SA, UK, Cold Spring Harbor Laboratory, 1 Bungtown Rd, Cold Spring Harbor, NY 11724, USA and USDA-ARS, Cornell University, Ithaca, NY, 14853, USA
| | - Gareth Williams
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SD, UK, Wellcome Trust Sanger Centre, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SA, UK, Cold Spring Harbor Laboratory, 1 Bungtown Rd, Cold Spring Harbor, NY 11724, USA and USDA-ARS, Cornell University, Ithaca, NY, 14853, USA
| | - Derek Wilson
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SD, UK, Wellcome Trust Sanger Centre, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SA, UK, Cold Spring Harbor Laboratory, 1 Bungtown Rd, Cold Spring Harbor, NY 11724, USA and USDA-ARS, Cornell University, Ithaca, NY, 14853, USA
| | - Ken Youens-Clark
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SD, UK, Wellcome Trust Sanger Centre, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SA, UK, Cold Spring Harbor Laboratory, 1 Bungtown Rd, Cold Spring Harbor, NY 11724, USA and USDA-ARS, Cornell University, Ithaca, NY, 14853, USA
| | - Marcela K. Monaco
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SD, UK, Wellcome Trust Sanger Centre, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SA, UK, Cold Spring Harbor Laboratory, 1 Bungtown Rd, Cold Spring Harbor, NY 11724, USA and USDA-ARS, Cornell University, Ithaca, NY, 14853, USA
| | - Joshua Stein
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SD, UK, Wellcome Trust Sanger Centre, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SA, UK, Cold Spring Harbor Laboratory, 1 Bungtown Rd, Cold Spring Harbor, NY 11724, USA and USDA-ARS, Cornell University, Ithaca, NY, 14853, USA
| | - Xuehong Wei
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SD, UK, Wellcome Trust Sanger Centre, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SA, UK, Cold Spring Harbor Laboratory, 1 Bungtown Rd, Cold Spring Harbor, NY 11724, USA and USDA-ARS, Cornell University, Ithaca, NY, 14853, USA
| | - Doreen Ware
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SD, UK, Wellcome Trust Sanger Centre, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SA, UK, Cold Spring Harbor Laboratory, 1 Bungtown Rd, Cold Spring Harbor, NY 11724, USA and USDA-ARS, Cornell University, Ithaca, NY, 14853, USA
| | - Daniel M. Bolser
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SD, UK, Wellcome Trust Sanger Centre, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SA, UK, Cold Spring Harbor Laboratory, 1 Bungtown Rd, Cold Spring Harbor, NY 11724, USA and USDA-ARS, Cornell University, Ithaca, NY, 14853, USA
| | - Kevin Lee Howe
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SD, UK, Wellcome Trust Sanger Centre, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SA, UK, Cold Spring Harbor Laboratory, 1 Bungtown Rd, Cold Spring Harbor, NY 11724, USA and USDA-ARS, Cornell University, Ithaca, NY, 14853, USA
| | - Eugene Kulesha
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SD, UK, Wellcome Trust Sanger Centre, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SA, UK, Cold Spring Harbor Laboratory, 1 Bungtown Rd, Cold Spring Harbor, NY 11724, USA and USDA-ARS, Cornell University, Ithaca, NY, 14853, USA
| | - Daniel Lawson
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SD, UK, Wellcome Trust Sanger Centre, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SA, UK, Cold Spring Harbor Laboratory, 1 Bungtown Rd, Cold Spring Harbor, NY 11724, USA and USDA-ARS, Cornell University, Ithaca, NY, 14853, USA
| | - Daniel Michael Staines
- The European Molecular Biology Laboratory, The European Bioinformatics Institute, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SD, UK, Wellcome Trust Sanger Centre, The Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SA, UK, Cold Spring Harbor Laboratory, 1 Bungtown Rd, Cold Spring Harbor, NY 11724, USA and USDA-ARS, Cornell University, Ithaca, NY, 14853, USA
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Lim B, Dolloff NG, Allen JE, Dicker DT, El-Deiry WS. Abstract P6-02-01: Elucidating the change of TRAIL sensitivity in basal like TNBC cell lines by lapatinib, and further therapeutic implication. Cancer Res 2013. [DOI: 10.1158/0008-5472.sabcs13-p6-02-01] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Triple negative breast cancer (TNBC) comprises 15-20% of breast cancer, and carries a poor prognosis. Recently, efforts to understand this heterogeneous group of cancers have led to recognition of different subtypes of TNBC by Dr. Pietenpol et al based on genetic and functional signature. So far, the only targeting agent for TNBC still remains as androgen receptor inhibitor for LAR group. Thus, other strategies in therapeutic development for TNBCs are necessary. TRAIL (Tumor Necrosis Factor-related apoptosis inducing ligand), a member of the TNF-alpha family of death receptor ligands, induces apoptosis by binding death receptors (DR4 and DR5), could be a good strategy in therapeutic development in TNBC. Unfortunately, majority of breast cancer cell lines are resistant to TRAIL targeted therapy especially basal like group of cells, as previously shown in the work of Lipkowitz at the NCI. Lapatinib, a well known as erbB 1 and 2 inhibitor had been found to have off target activity inducing JNK, an important activator of nuclear transcription of death receptor, and mitochondrial mediated intrinsic apoptosis pathway. Interestingly, study of combination therapy with lapatinib and TRAIL not only confirmed baseline poor sensitivity to TRAIL induced apoptosis in “basal like” HCC 1937 and MDA-MB-468 cell lines, but also revealed an unexpected difference in sensitization to TRAIL induced apoptosis by Lapatinib pre-treatment between these two cell lines. When treated with 48hrs Lapatinib high–dose treatment, HCC 1937 showed increased sensitization whereas MDA-MB-468 did not. Both HCC 1937 and MDA-MB-468 are in the same basal like 1(BL1) group by Dr. Pietenpol's analysis, and their baseline sensitivity to TRAIL inducing apoptosis are the same. In terms of apoptosis - there are two big categories of cells. Type I cells are independent of mitochondria for the induction of Fas death receptor mediated apoptosis, where as type II cells are mitochrondria-dependent. Thus we hypothesized that this difference in lapatinib induced TRAIL sensitization between two cell lines is due to difference in one being type I vs the other being type II cell, and this type of apoptosis is not likely equal in same subgroup of TNBC. If this hypothesis is correct, targeting apoptosis pathway in TNBC should incorporate the recognition of apoptosis cell types rather than functional/genetic based subtypes. We will further elucidate our hypothesis by studying JNK, caspase 3 and 9 activity and downstream of both intrinsic, extrinsic apoptosis pathway.
Citation Information: Cancer Res 2013;73(24 Suppl): Abstract nr P6-02-01.
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Affiliation(s)
- B Lim
- Penn State Hershey Medical Center, Hershey, PA
| | - NG Dolloff
- Penn State Hershey Medical Center, Hershey, PA
| | - JE Allen
- Penn State Hershey Medical Center, Hershey, PA
| | - DT Dicker
- Penn State Hershey Medical Center, Hershey, PA
| | - WS El-Deiry
- Penn State Hershey Medical Center, Hershey, PA
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Abstract
Filarial infections remain a major public health and socio-economic problem across the tropics, despite considerable effort to reduce disease burden or regionally eliminate the infection with mass drug administration programmes. The sustainability of these programmes is now open to question owing to a range of issues, not least of which is emerging evidence for drug resistance. Vaccination, if developed appropriately, remains the most cost-effective means of long-term disease control. The rationale for the feasibility of vaccination against filarial parasites including onchocerciasis (river blindness, Onchocerca volvulus) and lymphatic filariasis (Wuchereria bancrofti or Brugia malayi) is founded on evidence from both humans and animal models for the development of protective immunity. Nonetheless, enormous challenges need to be faced in terms of overcoming parasite-induced suppression without inducing pathology as well as the need to both recognize and tackle evolutionary and ecological obstacles to successful vaccine development. Nonetheless, new technological advances in addition to systems biology approaches offer hope that optimal immune responses can be induced that will prevent infection, disease and/or transmission.
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Affiliation(s)
- Simon A Babayan
- Institute of Immunology and Infection Research, and Centre for Immunity, Infection & Evolution, University of Edinburgh, Edinburgh, UK.
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26
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Willis CTN, Coppins M, Bacharis M, Allen JE. Floating potential of large dust grains in a collisionless flowing plasma. Phys Rev E Stat Nonlin Soft Matter Phys 2012; 85:036403. [PMID: 22587192 DOI: 10.1103/physreve.85.036403] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/29/2011] [Indexed: 05/31/2023]
Abstract
Dust immersed in plasma quickly charges to a potential where the ion and electron currents to its surface balance; this is the floating potential. In order to accurately determine dust behavior, the floating potential must be known. The charging of dust grains that are small with respect to electron Debye length (λ(D)) may be adequately approximated using the orbital-motion-limited (OML) approach. A modified version of OML is presented for large dust grains in both stationary and flowing plasmas. This modified OML is compared with simulation and found to be in good agreement. The modified OML is applied to large grains charging under tokamak conditions and found to have an appreciable effect on the drag force.
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Affiliation(s)
- C T N Willis
- Blackett Laboratory, Imperial College, Prince Consort Road, London, SW7 2BW, United Kingdom.
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Willis CTN, Allen JE, Coppins M, Bacharis M. Wakes formed by dust grains in supersonically flowing plasmas. Phys Rev E Stat Nonlin Soft Matter Phys 2011; 84:046410. [PMID: 22181286 DOI: 10.1103/physreve.84.046410] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/04/2011] [Revised: 08/13/2011] [Indexed: 05/31/2023]
Abstract
Interesting wake effects are found in simulations of dust grains in supersonically flowing plasma. A Mach cone is formed at an angle to the flow determined by the ratio of flow to Bohm speed. The latter is well approximated by [k(T(e)+γT(i))/m(i)](1/2) with γ=3. For ion temperatures significantly lower than the electron temperature, a second (inner) cone forms due to flow convergence. An "ion vacuum" and stagnation point occur downstream. These latter effects cannot be described by conventional (cold-ion) gas dynamics. Critically, none of the cones observed are shocks but are more akin to weak discontinuities.
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Affiliation(s)
- C T N Willis
- Blackett Laboratory, Imperial College, Prince Consort Road, London SW7 2BW, United Kingdom
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28
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Watson CJE, Wells AC, Roberts RJ, Akoh JA, Friend PJ, Akyol M, Calder FR, Allen JE, Jones MN, Collett D, Bradley JA. Cold machine perfusion versus static cold storage of kidneys donated after cardiac death: a UK multicenter randomized controlled trial. Am J Transplant 2010; 10:1991-9. [PMID: 20883534 DOI: 10.1111/j.1600-6143.2010.03165.x] [Citation(s) in RCA: 172] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
One third of deceased donor kidneys for transplantation in the UK are donated following cardiac death (DCD). Such kidneys have a high rate of delayed graft function (DGF) following transplantation. We conducted a multicenter, randomized controlled trial to determine whether kidney preservation using cold, pulsatile machine perfusion (MP) was superior to simple cold storage (CS) for DCD kidneys. One kidney from each DCD donor was randomly allocated to CS, the other to MP. A sequential trial design was used with the primary endpoint being DGF, defined as the necessity for dialysis within the first 7 days following transplant. The trial was stopped when data were available for 45 pairs of kidneys. There was no difference in the incidence of DGF between kidneys assigned to MP or CS (58% vs. 56%, respectively), in the context of an asystolic period of 15 min and median cold ischemic times of 13.9 h for MP and 14.3 h for CS kidneys. Renal function at 3 and 12 months was similar between groups, as was graft and patient survival. For kidneys from controlled DCD donors (with mean cold ischemic times around 14 h), MP offers no advantage over CS, which is cheaper and more straightforward.
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Affiliation(s)
- C J E Watson
- Department of Surgery, University of Cambridge, Addenbrooke's Hospital, Cambridge.
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29
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Yao H, Allen JE, Zhu X, Callen S, Buch S. Cocaine and human immunodeficiency virus type 1 gp120 mediate neurotoxicity through overlapping signaling pathways. J Neurovirol 2009; 15:164-75. [PMID: 19319745 DOI: 10.1080/13550280902755375] [Citation(s) in RCA: 49] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
Although it has been well documented that drugs of abuse such as cocaine cause enhanced progression of human immunodeficiency virus (HIV)-associated neuropathological disorders, the underlying mechanisms mediating these effects remain poorly understood. The present study demonstrated that exposure of rat primary neurons to both cocaine and gp120 resulted in increased cell toxicity compared to cells treated with either factor alone. The combinatorial toxicity of cocaine and gp120 was accompanied by an increase in both caspase-3 activity and expression of the proapoptotic protein Bax. Furthermore, increased neurotoxicity in the presence of both the agents was associated with a concomitant increase in the production of intracellular reactive oxygen species and loss of mitochondrial membrane potential. Increased neurotoxicity mediated by cocaine and gp120 was ameliorated by NADPH oxidase inhibitor apocynin, thus underscoring the role of oxidative stress in this cooperation. Signaling pathways including c-jun N-teminal kinase (JNK), p38, extracellular signal-regulated kinase (ERK)/mitogen-activated protein kinases (MAPK), and nuclear factor (NF)-kappaB were also identified to be critical in the neurotoxicity induced by cocaine and gp120. These findings thus underscore the role of oxidative stress, mitochondrial and MAPK signal pathways in cocaine and HIV gp120-mediated neurotoxicity.
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Affiliation(s)
- Honghong Yao
- Department of Molecular and Integrative Physiology, University of Kansas Medical Center, Kansas City, Kansas 66160, USA
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James PR, Close JJ, Keitch PA, Allen JE, Fews AP, Henshaw DL. Aspects of the geographical variations of naturally occurring 210Pb/210Po in permanent teeth of juveniles in the UK. Int J Radiat Biol 2009; 80:199-208. [PMID: 15244373 DOI: 10.1080/09553000410001665690] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Abstract
PURPOSE To study geographical variations in the level of naturally occurring 210Pb-supported 210Po in permanent teeth of juveniles in the UK. MATERIALS AND METHODS Permanent teeth extracted from 278 juveniles for orthodontic purposes were obtained from 48 counties in the UK. 210Po activity concentration was measured on the outer enamel surface using TASTRAK alpha-particle-sensitive plastic track detectors. RESULTS Geometric mean +/- SE activity concentrations in teeth from urban, suburban and rural areas, excluding the high radon area of Devon, were 8.41 + 0.25/-0.24, 7.76 + 0.37/-0.35 and 7.20 +0.49/-0.46 Bq kg(-1), respectively. Overall, there was no significant association between alpha-activity on the outer enamel surface of permanent teeth and proximity to the major UK motorways. However, when the data were considered with respect to the prevailing south-westerly wind on the western side of the UK, a statistically significant association with respect to donors living downwind (on the easterly side) of the motorways was found. This effect was greater for sections of the M5 and M6 motorways that traverse urban areas. 210Po levels in teeth were also associated with domestic radon concentration. This effect was comparable with that from traffic and urban pollution. CONCLUSIONS Higher levels of 210Pb-supported 210Po are seen in permanent teeth of juveniles near sources of increased exposure in the UK. Inhalation uptake is an important pathway of exposure, especially with respect to domestic radon exposure. The results might be important in assessing integrated exposure to 210Po in the skeleton and consequent high linear energy transfer dose to bone marrow.
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Affiliation(s)
- P R James
- H. H. Wills Physics Laboratory, University of Bristol, Tyndall Avenue, Bristol BS8 1TL, UK
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James PR, Close JJ, Keitch PA, Allen JE, Fews AP, Henshaw DL. Morphological features of the microdistribution of naturally occurring 210Pb/210Po and 226Ra in the teeth of children and juveniles. Int J Radiat Biol 2009; 80:185-98. [PMID: 15244372 DOI: 10.1080/09553000410001665681] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Abstract
PURPOSE To examine the microdistribution of natural alpha-radioactivity in deciduous teeth of children and the permanent teeth of juveniles extracted for orthodontic purpose from across the UK. MATERIALS AND METHODS The microdistribution of 210Pb-supported 210Po and 226Ra in 708 deciduous and permanent teeth and 32 foetal teeth was measured on 1442 TASTRAK alpha-particle track detectors. RESULTS Of the various findings, a number are of special interest. Around half of the 210Pb activity in the outer enamel of deciduous teeth appears to have been acquired in utero as a result of transplacental transfer. In deciduous and permanent teeth, 226Ra is concentrated mainly in the circumpulpal region, while the highest levels of 210Po are on the highly calcified outer enamel surface. Furthermore, activity concentrations recorded on this surface were In-normally distributed. CONCLUSIONS 210Pb-supported 210Po activity on the outer enamel surface of permanent teeth constitutes an assay of cumulative environmental exposure with which to assess exposure in bone, both in utero and in childhood. Such assessment can be used to study geographical variations in the alpha-activity in teeth. More work is also required to determine the concentrations of both 210Po and 210Pb in the foetal skeleton.
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Affiliation(s)
- P R James
- H. H. Wills Physics Laboratory, University of Bristol, Tyndall Avenue, Bristol BS8 1TL, UK
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32
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Sutherland TE, Maizels RM, Allen JE. Chitinases and chitinase-like proteins: potential therapeutic targets for the treatment of T-helper type 2 allergies. Clin Exp Allergy 2009; 39:943-55. [PMID: 19400900 DOI: 10.1111/j.1365-2222.2009.03243.x] [Citation(s) in RCA: 73] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Mammalian chitinase and chitinase-like proteins (CLPs) are a family of mediators increasingly associated with infection, T cell-mediated inflammation, wound healing, allergy and asthma. Although our current knowledge of the function of mammalian chitinases and CLPs is very limited, important information can be deduced from research carried out in lower organisms, and in different immunopathological conditions. Enzymatically active mammalian chitinase proteins may have evolved to degrade the copious amounts of chitin mammals are exposed to on a daily basis, and to form an innate barrier to chitin-containing organisms. CLPs are homologous to chitinases but lack the ability to degrade chitin. It is most striking that both chitinases and CLPs are up-regulated in T-helper type 2 (Th2)-driven conditions, and the first evidence is now emerging that these proteins may accentuate Th2 reactivity, and possibly contribute to the repair process that follows inflammation. Following studies demonstrating that chitinase inhibition leads to an attenuated allergic response, several strategies are being used to develop enzyme inhibitors for therapeutic use in human diseases. In this review, we will summarize recent insights into the effects of chitinases and CLPs in the context of Th2-dominated pathology with particular focus on allergy and asthma, discussing whether chitinase enzyme inhibitors may be of therapeutic value.
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Affiliation(s)
- T E Sutherland
- Ashworth Laboratories, Institute of Immunology and Infection Research, University of Edinburgh, Edinburgh, UK.
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Cooper JD, Smyth DJ, Smiles AM, Plagnol V, Walker NM, Allen JE, Downes K, Barrett JC, Healy BC, Mychaleckyj JC, Warram JH, Todd JA. Meta-analysis of genome-wide association study data identifies additional type 1 diabetes risk loci. Nat Genet 2008; 40:1399-401. [PMID: 18978792 PMCID: PMC2635556 DOI: 10.1038/ng.249] [Citation(s) in RCA: 383] [Impact Index Per Article: 23.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2008] [Accepted: 08/28/2008] [Indexed: 12/13/2022]
Abstract
We carried out a meta-analysis of data from three genome-wide association (GWA) studies of type 1 diabetes (T1D), testing 305,090 SNPs in 3,561 T1D cases and 4,646 controls of European ancestry. We obtained further support for 4q27 (IL2-IL21, P = 1.9 x 10(-8)) and, after genotyping an additional 6,225 cases, 6,946 controls and 2,828 families, convincing evidence for four previously unknown and distinct risk loci in chromosome regions 6q15 (BACH2, P = 4.7 x 10(-12)), 10p15 (PRKCQ, P = 3.7 x 10(-9)), 15q24 (CTSH, P = 3.2 x 10(-15)) and 22q13 (C1QTNF6, P = 2.0 x 10(-8)).
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Affiliation(s)
- Jason D Cooper
- Juvenile Diabetes Research Foundation/Wellcome Trust Diabetes and Inflammation Laboratory, Department of Medical Genetics, Cambridge Institute for Medical Research, University of Cambridge, Addenbrooke's Hospital, Cambridge, UK.
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Abstract
Juvenile female Litomosoides sigmodontis secrete a protein (Juv-p120) highly modified with dimethylethanolamine (DMAE). In an attempt to establish the source of this decoration worms were pulsed with [3H]-choline and [3H]-ethanolamine and the radio-isotope labelled products analysed. Both isotope labels were successfully taken up by the worms, as demonstrated by labelling of phospholipids with [3H]-choline, being predominantly incorporated into phosphatidylcholine and [3H]-ethanolamine into phosphatidylethanolamine. Isotope labelling of phosphatidylethanolamine was particularly striking with the worms taking up approximately 30 times as much labelled ethanolamine as choline. It was possible to detect faint labelling of Juv-p120 with [3H]-ethanolamine after prolonged exposure periods but, unlike the situation with the phospholipids, it was much more readily labelled with [3H]-choline. When pulsing with [3H]-ethanolamine it was also possible to detect isotope-labelled phosphatidylcholine, which may ultimately account for the low levels of labelling of Juv-p120. Overall our results raise the previously unconsidered but intriguing possibility that in L. sigmodontis, choline may be the precursor of DMAE.
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Affiliation(s)
- K M Houston
- Strathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, 27 Taylor Street, Glasgow G4 0NR, UK
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Abstract
OBJECTIVE To investigate the duration of postictal impairment of consciousness and the factors that affect it. PATIENTS AND METHODS 90 children aged 1-16 years (37 male, 53 female, median age 6 years), attending the accident and emergency department, and inpatients of Leeds General Infirmary, Leeds, UK, who had experienced seizures involving impairment of consciousness. Interventions-hourly modified paediatric coma scores were determined, until a coma score of 15 was obtained. Linear regression analysis was used to determine the factors influencing recovery time. RESULTS 49 children were excluded owing to incomplete coma scoring, lost notes and refusal of consent. Median time for full recovery of consciousness was 38 min (0.63 h, range 0.05-17 h). Median recovery time was 18 min (0.3 h, range 0.05-9 h) from febrile seizures, which was significantly shorter than for seizures of other aetiologies (p<0.05), 1.35 h (range 0.07-13.13 h) from idiopathic seizures, 1.25 h (0.07-12.1 h) from remote symptomatic seizures and 4.57 h (0.25-17 h) from acute symptomatic seizures. Median recovery time after the use of benzodiazepines was 3.46 h (range 0.08-14.25 h), and was significantly longer (p<0.05) than for seizures not treated with benzodiazepines (median 0.47 h, range 0.05-17 h). Age, sex, seizure type and duration did not significantly affect recovery time. CONCLUSIONS Most children experiencing febrile seizures recover within 30 min. An acute symptomatic aetiology should be considered if recovery takes >1 h.
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Affiliation(s)
- J E Allen
- School of Medicine, University of Leeds, Leeds, West Yorkshire, UK.
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Hulbert EM, Smink LJ, Adlem EC, Allen JE, Burdick DB, Burren OS, Cassen VM, Cavnor CC, Dolman GE, Flamez D, Friery KF, Healy BC, Killcoyne SA, Kutlu B, Schuilenburg H, Walker NM, Mychaleckyj J, Eizirik DL, Wicker LS, Todd JA, Goodman N. T1DBase: integration and presentation of complex data for type 1 diabetes research. Nucleic Acids Res 2006; 35:D742-6. [PMID: 17169983 PMCID: PMC1781218 DOI: 10.1093/nar/gkl933] [Citation(s) in RCA: 54] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
T1DBase () [Smink et al. (2005) Nucleic Acids Res., 33, D544–D549; Burren et al. (2004) Hum. Genomics, 1, 98–109] is a public website and database that supports the type 1 diabetes (T1D) research community. T1DBase provides a consolidated T1D-oriented view of the complex data world that now confronts medical researchers and enables scientists to navigate from information they know to information that is new to them. Overview pages for genes and markers summarize information for these elements. The Gene Dossier summarizes information for a list of genes. GBrowse [Stein et al. (2002) Genome Res., 10, 1599–1610] displays genes and other features in their genomic context, and Cytoscape [Shannon et al. (2003) Genome Res., 13, 2498–2504] shows genes in the context of interacting proteins and genes. The Beta Cell Gene Atlas shows gene expression in β cells, islets, and related cell types and lines, and the Tissue Expression Viewer shows expression across other tissues. The Microarray Viewer shows expression from more than 20 array experiments. The Beta Cell Gene Expression Bank contains manually curated gene and pathway annotations for genes expressed in β cells. T1DMart is a query tool for markers and genotypes. PosterPages are ‘home pages’ about specific topics or datasets. The key challenge, now and in the future, is to provide powerful informatics capabilities to T1D scientists in a form they can use to enhance their research.
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Long GH, Chan BHK, Allen JE, Read AF, Graham AL. Parasite genetic diversity does not influence TNF-mediated effects on the virulence of primary rodent malaria infections. Parasitology 2006; 133:673-84. [PMID: 16978451 DOI: 10.1017/s003118200600117x] [Citation(s) in RCA: 17] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2006] [Revised: 06/17/2006] [Accepted: 06/21/2006] [Indexed: 12/20/2022]
Abstract
The pro-inflammatory cytokine tumour necrosis factor alpha (TNF-alpha) is associated with malaria virulence (disease severity) in both rodents and humans. We are interested in whether parasite genetic diversity influences TNF-mediated effects on malaria virulence. Here, primary infections with genetically distinct Plasmodium chabaudi chabaudi (P.c.c.) clones varied in the virulence and cytokine responses induced in female C57BL/6 mice. Even when parasitaemia was controlled for, a greater day 7 TNF-alpha response was induced by infection with more virulent P.c.c. clones. Since many functions of TNF-alpha are exerted through TNF receptor 1 (TNFR1), a TNFR-1 fusion protein (TNFR-Ig) was used to investigate whether TNFR1 blockade eliminated clone virulence differences. We found that TNFR-1 blockade ameliorated the weight loss but not the anaemia induced by malaria infection, regardless of P.c.c. clone. We show that distinct P.c.c. infections induced significantly different plasma interferon gamma (IFN-gamma), interleukin 6 (IL-6) and interleukin 10 (IL-10) levels. Our results demonstrate that regardless of P.c.c. genotype, blocking TNFR1 signalling protected against weight loss, but had negligible effects on both anaemia and asexual parasite kinetics. Thus, during P.c.c. infection, TNF-alpha is a key mediator of weight loss, independent of parasite load and across parasite genotypes.
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Affiliation(s)
- G H Long
- Institutes of Evolution, Immunology and Infection Research, School of Biological Sciences, University of Edinburgh, King's Buildings, West Mains Road, Edinburgh EH9 3JT, Scotland.
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Carninci P, Kasukawa T, Katayama S, Gough J, Frith MC, Maeda N, Oyama R, Ravasi T, Lenhard B, Wells C, Kodzius R, Shimokawa K, Bajic VB, Brenner SE, Batalov S, Forrest ARR, Zavolan M, Davis MJ, Wilming LG, Aidinis V, Allen JE, Ambesi-Impiombato A, Apweiler R, Aturaliya RN, Bailey TL, Bansal M, Baxter L, Beisel KW, Bersano T, Bono H, Chalk AM, Chiu KP, Choudhary V, Christoffels A, Clutterbuck DR, Crowe ML, Dalla E, Dalrymple BP, de Bono B, Della Gatta G, di Bernardo D, Down T, Engstrom P, Fagiolini M, Faulkner G, Fletcher CF, Fukushima T, Furuno M, Futaki S, Gariboldi M, Georgii-Hemming P, Gingeras TR, Gojobori T, Green RE, Gustincich S, Harbers M, Hayashi Y, Hensch TK, Hirokawa N, Hill D, Huminiecki L, Iacono M, Ikeo K, Iwama A, Ishikawa T, Jakt M, Kanapin A, Katoh M, Kawasawa Y, Kelso J, Kitamura H, Kitano H, Kollias G, Krishnan SPT, Kruger A, Kummerfeld SK, Kurochkin IV, Lareau LF, Lazarevic D, Lipovich L, Liu J, Liuni S, McWilliam S, Madan Babu M, Madera M, Marchionni L, Matsuda H, Matsuzawa S, Miki H, Mignone F, Miyake S, Morris K, Mottagui-Tabar S, Mulder N, Nakano N, Nakauchi H, Ng P, Nilsson R, Nishiguchi S, Nishikawa S, Nori F, Ohara O, Okazaki Y, Orlando V, Pang KC, Pavan WJ, Pavesi G, Pesole G, Petrovsky N, Piazza S, Reed J, Reid JF, Ring BZ, Ringwald M, Rost B, Ruan Y, Salzberg SL, Sandelin A, Schneider C, Schönbach C, Sekiguchi K, Semple CAM, Seno S, Sessa L, Sheng Y, Shibata Y, Shimada H, Shimada K, Silva D, Sinclair B, Sperling S, Stupka E, Sugiura K, Sultana R, Takenaka Y, Taki K, Tammoja K, Tan SL, Tang S, Taylor MS, Tegner J, Teichmann SA, Ueda HR, van Nimwegen E, Verardo R, Wei CL, Yagi K, Yamanishi H, Zabarovsky E, Zhu S, Zimmer A, Hide W, Bult C, Grimmond SM, Teasdale RD, Liu ET, Brusic V, Quackenbush J, Wahlestedt C, Mattick JS, Hume DA, Kai C, Sasaki D, Tomaru Y, Fukuda S, Kanamori-Katayama M, Suzuki M, Aoki J, Arakawa T, Iida J, Imamura K, Itoh M, Kato T, Kawaji H, Kawagashira N, Kawashima T, Kojima M, Kondo S, Konno H, Nakano K, Ninomiya N, Nishio T, Okada M, Plessy C, Shibata K, Shiraki T, Suzuki S, Tagami M, Waki K, Watahiki A, Okamura-Oho Y, Suzuki H, Kawai J, Hayashizaki Y. The transcriptional landscape of the mammalian genome. Science 2005; 309:1559-63. [PMID: 16141072 DOI: 10.1126/science.1112014] [Citation(s) in RCA: 2607] [Impact Index Per Article: 137.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
This study describes comprehensive polling of transcription start and termination sites and analysis of previously unidentified full-length complementary DNAs derived from the mouse genome. We identify the 5' and 3' boundaries of 181,047 transcripts with extensive variation in transcripts arising from alternative promoter usage, splicing, and polyadenylation. There are 16,247 new mouse protein-coding transcripts, including 5154 encoding previously unidentified proteins. Genomic mapping of the transcriptome reveals transcriptional forests, with overlapping transcription on both strands, separated by deserts in which few transcripts are observed. The data provide a comprehensive platform for the comparative analysis of mammalian transcriptional regulation in differentiation and development.
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Lamb TJ, Graham AL, Le Goff L, Allen JE. Co-infected C57BL/6 mice mount appropriately polarized and compartmentalized cytokine responses to Litomosoides sigmodontis and Leishmania major but disease progression is altered. Parasite Immunol 2005; 27:317-24. [PMID: 16149989 DOI: 10.1111/j.1365-3024.2005.00779.x] [Citation(s) in RCA: 27] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
This study examines the capacity of the mammalian host to fully compartmentalize the response to infection with type 1 vs. type 2 inducing organisms that infect different sites in the body. For this purpose, C57BL/6 mice were infected with the rodent filarial nematode Litomosoides sigmodontis followed by footpad infection with the protozoan parasite Leishmania major. In this host, nematode infection is established in the thoracic cavity but no microfilariae circulate in the bloodstream. We utilized quantitative ELISPOT analysis of IL-4 and IFN-gamma producing cells to assess cytokine bias and response magnitude in the lymph nodes draining the sites of infection as well as more systemic responses in the spleen and serum. Contrary to other systems where co-infection has a major impact on bias, cytokine ratios were unaltered in either local lymph node. The most notable effect of co-infection was an unexpected increase in the magnitude of the IFN-gamma response to L. major in mice previously infected with L. sigmodontis. Further, lesion development was significantly delayed in these mice. Thus, despite the ability of the immune system to appropriately compartmentalize the immune response, interactions between responses at distinct infection sites can alter disease progression.
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Affiliation(s)
- T J Lamb
- Institutes of Evolution, Immunology, & Infection Research, School of Biological Sciences, University of Edinburgh, UK
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Falcone FH, Loke P, Zang X, MacDonald AS, Maizels RM, Allen JE. A Brugia malayi homolog of macrophage migration inhibitory factor reveals an important link between macrophages and eosinophil recruitment during nematode infection. J Immunol 2001; 167:5348-54. [PMID: 11673551 DOI: 10.4049/jimmunol.167.9.5348] [Citation(s) in RCA: 107] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
Infections with the helminth parasite Brugia malayi share many key features with Th2-mediated allergic diseases, including recruitment of eosinophils. We have investigated the dynamics of inflammatory cell recruitment under type 2 cytokine conditions in mice infected with B. malayi. Among the cells recruited to the site of infection is a novel population of "alternatively activated" macrophages that ablate cell proliferation and enhance Th2 differentiation. By profiling gene expression in this macrophage population, we found a dramatic up-regulation of a recently described eosinophil chemotactic factor, eosinophil chemotactic factor-L/Ym1, representing over 9% of clones randomly selected from a cDNA library. Because B. malayi is known to secrete homologs (Bm macrophage migration inhibitory factor (MIF)-1 and -2) of the human cytokine MIF, we chose to investigate the role this cytokine mimic may play in the development of the novel macrophage phenotype observed during infection. Strikingly, administration of soluble recombinant Bm-MIF-1 was able to reproduce the effects of live parasites, leading both to the up-regulation of Ym1 by macrophages and a marked recruitment of eosinophils in vivo. Because activity of Bm-MIF-1 is dependent upon an amino-terminal proline, this residue was mutated to glycine; the resultant recombinant (Bm-MIF-1G) was unable to induce Ym1 transcription in macrophages or to mediate the recruitment of eosinophils. These data suggest that macrophages may provide a crucial link between helminth parasites, their active cytokine mimics, and the recruitment of eosinophils in infection.
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Affiliation(s)
- F H Falcone
- Institute of Cell, Animal and Population Biology, University of Edinburgh, Edinburgh, United Kingdom
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Affiliation(s)
- J E Allen
- H H Wills Physics Laboratory, University of Bristol, Tyndall Avenue, Bristol, BS8 1TL, UK
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Abstract
Macrophages have long been recognized as important cells associated with filarial infection but their function as effectors and/or suppressors has not been elucidated. Recent advances in our understanding of the role that macrophages may play in lymphatic filariasis have come from in vitro studies and mouse models of filarial infection. Based on these new findings, we hypothesize that while dead or dying worms induce the 'classical' activation of macrophages and a subsequent pro-inflammatory response, live and healthy worms secrete products that induce type 2 cytokines and the differentiation of 'alternatively' activated macrophages that downregulate an inflammatory response. Thus, the balance between the 'classical' and 'alternative' activation pathways of macrophages could be an important factor in inflammatory pathology associated with filariasis.
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Affiliation(s)
- J E Allen
- Institute of Cell, Animal and Population Biology, University of Edinburgh, Edinburgh, UK.
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Abstract
The purpose of this study was to characterize the spatial distribution, number and size of CD34(+) cells in fetal bone marrow. Thin sections of normal fetal bone marrow from lumbar vertebrae were stained using CD34 antibody QBend/10. Sections were used under light microscopy with various eyepiece graticules to make measurements of CD34(+) cells in situ. Results showed that at mid- and late gestation, approximately 2% and 0.5% of fetal bone marrow cells were CD34(+) respectively. The mean distance of CD34(+) cells from the nearest trabecular bone surface was 61 +/- 4 and 46 +/- 4 microm, respectively, for mid- and late gestation. The mean distance to the nearest neighbour was 46 +/- 5 and 105 +/- 15 microm, and the mean distance to the nearest blood vessel was 13 +/- 1 and 17 +/- 2 microm respectively. The concentration of CD34(+) cells in the peripheral region was 6.5 times greater than that at the centre of the sections. Overall, the percentage number of CD34(+) cells decreased with gestational age. The cellular and nuclear diameters of CD34(+) cells remained unchanged throughout mid- and late gestation at 5.4 +/- 0.1 and 3.8 +/- 0.1 microm respectively. This information will be used to calculate the natural background alpha-radiation dose to haemopoietic stem cells.
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Affiliation(s)
- J E Allen
- H. H. Wills Physics Laboratory, University of Bristol, Bristol, UK.
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Wilson ME, Lorente CA, Allen JE, Eberhard ML. Gongylonema infection of the mouth in a resident of Cambridge, Massachusetts. Clin Infect Dis 2001; 32:1378-80. [PMID: 11303277 DOI: 10.1086/319991] [Citation(s) in RCA: 33] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2000] [Revised: 09/21/2000] [Indexed: 11/03/2022] Open
Abstract
We report a case of Gongylonema infection of the mouth, which caused a migrating, serpiginous tract in a resident of Massachusetts. This foodborne infection, which is acquired through accidental ingestion of an infected insect, such as a beetle or a roach, represents the 11th such case reported in the United States.
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