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Deddouche S, Matt N, Budd A, Mueller S, Kemp C, Galiana-Arnoux D, Dostert C, Antoniewski C, Hoffmann JA, Imler JL. Author Correction: The DExD/H-box helicase Dicer-2 mediates the induction of antiviral activity in drosophila. Nat Immunol 2024; 25:927. [PMID: 38491311 DOI: 10.1038/s41590-024-01800-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/18/2024]
Affiliation(s)
- Safia Deddouche
- UnitéPropre de Recherché9022, Centre National de la Recherche Scientifique, Institut de Biologie Molé culaire et Cellulaire, Strasbourg, France
| | - Nicolas Matt
- UnitéPropre de Recherché9022, Centre National de la Recherche Scientifique, Institut de Biologie Molé culaire et Cellulaire, Strasbourg, France
| | - Aidan Budd
- European Molecular Biology Laboratory, Heidelberg, Germany
| | - Stefanie Mueller
- UnitéPropre de Recherché9022, Centre National de la Recherche Scientifique, Institut de Biologie Molé culaire et Cellulaire, Strasbourg, France
| | - Cordula Kemp
- UnitéPropre de Recherché9022, Centre National de la Recherche Scientifique, Institut de Biologie Molé culaire et Cellulaire, Strasbourg, France
| | - Delphine Galiana-Arnoux
- UnitéPropre de Recherché9022, Centre National de la Recherche Scientifique, Institut de Biologie Molé culaire et Cellulaire, Strasbourg, France
- Institute of Functional Genomics of Lyon-Unités Mixtes de Recherche 5242, Ecole Normale Supé rieure de Lyon, Lyon, Cedex 07, France
| | - Catherine Dostert
- UnitéPropre de Recherché9022, Centre National de la Recherche Scientifique, Institut de Biologie Molé culaire et Cellulaire, Strasbourg, France
- Department of Biochemistry, University of Lausanne, Epalinges, Switzerland
| | - Christophe Antoniewski
- Department of Developmental Biology, Centre National de la Recherche Scientifique URA2578, Institut Pasteur, Paris, France
| | - Jules A Hoffmann
- UnitéPropre de Recherché9022, Centre National de la Recherche Scientifique, Institut de Biologie Molé culaire et Cellulaire, Strasbourg, France
| | - Jean-Luc Imler
- UnitéPropre de Recherché9022, Centre National de la Recherche Scientifique, Institut de Biologie Molé culaire et Cellulaire, Strasbourg, France.
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Ghaffari W, Mansoor-Ali N, Budd A, Sadia R, Maino A. 22 Diagnostic monocular occlusion in patients with binocular vision. BMJ Open Ophthalmol 2023; 8:A8. [PMID: 37797994 DOI: 10.1136/bmjophth-2023-biposa.22] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/07/2023] Open
Abstract
To determine if angle of deviation changes significantly after diagnostic monocular occlusion (DMO) in patients with BSV (binocular single vision).We retrospectively analysed data from 136 patients with esotropia and 110 with exotropia, divided in BSV and non-BSV. Near and distance angles were measured over 3 visits and then after 2 hours monocular occlusion. Data were analysed with t-test and linear regression.Esotropes with BSV had significantly larger increases in deviation after DMO than non-BSV patients for near (5 PD vs 3 PD, 95%CI 3-7 PD, paired t-test p=0.0318) and for distance (6 PD vs 3 PD, 95%CI 4-8 PD, p=0.005). There was a significant correlation between the amount of change after occlusion and the initial angle for near (p=0.006) and for distance (p=0.010) in BSV patients only.In exotropes, there was no significant difference after DMO between BSV and non-BSV patients for near (p=0.09) and distance (p=0.532). There was a significant correlation between initial near angle of deviation and change in deviation after DMO in BSV patients(p=0.0009) but not in the non-BSV group (p=0.07). Distance angle of deviation before DMO was significantly correlated to the amount of change in deviation after DMO for both BSV (p=0.022) and non BSV patients (p=0.015).Our study shows that diagnostic monocular occlusion should be performed in all exotropes with initial angles of deviation of less than 30 PD. In esotropes, DMO is more likely to show significant increases in deviation in BSV patients, especially for smaller initial angles (less than 25 PD before DMO). These changes should be taken into account when planning surgery.
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Affiliation(s)
| | | | - A Budd
- Manchester Royal Eye Hospital, UK
| | - R Sadia
- Manchester Royal Eye Hospital, UK
| | - A Maino
- Manchester Royal Eye Hospital, UK
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Santarella-Mellwig R, Franke J, Jaedicke A, Gorjánácz M, Bauer U, Budd A, Mattaj IW, Devos DP. Correction: The Compartmentalized Bacteria of the Planctomycetes-Verrucomicrobia-Chlamydiae Superphylum Have Membrane Coat-Like Proteins. PLoS Biol 2018; 16:e1002620. [PMID: 29444088 PMCID: PMC5812719 DOI: 10.1371/journal.pbio.1002620] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
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Affiliation(s)
- R. Hood
- Department of Anesthesiology; Northwestern University Feinberg School of Medicine; Chicago IL USA
| | - A. Budd
- Department of Anesthesiology; Northwestern University Feinberg School of Medicine; Chicago IL USA
| | - F. A. Sorond
- Department of Neurology; Northwestern University Feinberg School of Medicine; Chicago IL USA
| | - C. W. Hogue
- Department of Anesthesiology; Northwestern University Feinberg School of Medicine; Chicago IL USA
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Abstract
Biological networks are graphs used to represent the inner workings of a biological system. Networks describe the relationships of the elements of biological systems using edges and nodes. However, the resulting representation of the system can sometimes be too simplistic to usefully model reality. By combining several different interaction types within one larger multilayered biological network, tools such as SignaLink provide a more nuanced view than those relying on single-layer networks (where edges only describe one kind of interaction). Multilayered networks display connections between multiple networks (i.e., protein-protein interactions and their transcriptional and posttranscriptional regulators), each one of them describing a specific set of connections. Multilayered networks also allow us to depict cross talk between cellular systems, which is a more realistic way of describing molecular interactions. They can be used to collate networks from different sources into one multilayered structure, which makes them useful as an analytic tool as well.
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Affiliation(s)
| | - Márton Ölbei
- Earlham Institute, Norwich Research Park, Norwich, UK.,Quadram Institute, Norwich Research Park, Norwich, UK
| | - Aidan Budd
- Earlham Institute, Norwich Research Park, Norwich, UK
| | - Tamás Korcsmáros
- Eötvös Loránd University, Budapest, Hungary. .,Earlham Institute, Norwich Research Park, Norwich, UK. .,Quadram Institute, Norwich Research Park, Norwich, UK.
| | - Dávid Fazekas
- Eötvös Loránd University, Budapest, Hungary.,Earlham Institute, Norwich Research Park, Norwich, UK
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Budd A, Corpas M, Brazas MD, Fuller JC, Goecks J, Mulder NJ, Michaut M, Ouellette BFF, Pawlik A, Blomberg N. A quick guide for building a successful bioinformatics community. PLoS Comput Biol 2015; 11:e1003972. [PMID: 25654371 PMCID: PMC4318577 DOI: 10.1371/journal.pcbi.1003972] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
"Scientific community" refers to a group of people collaborating together on scientific-research-related activities who also share common goals, interests, and values. Such communities play a key role in many bioinformatics activities. Communities may be linked to a specific location or institute, or involve people working at many different institutions and locations. Education and training is typically an important component of these communities, providing a valuable context in which to develop skills and expertise, while also strengthening links and relationships within the community. Scientific communities facilitate: (i) the exchange and development of ideas and expertise; (ii) career development; (iii) coordinated funding activities; (iv) interactions and engagement with professionals from other fields; and (v) other activities beneficial to individual participants, communities, and the scientific field as a whole. It is thus beneficial at many different levels to understand the general features of successful, high-impact bioinformatics communities; how individual participants can contribute to the success of these communities; and the role of education and training within these communities. We present here a quick guide to building and maintaining a successful, high-impact bioinformatics community, along with an overview of the general benefits of participating in such communities. This article grew out of contributions made by organizers, presenters, panelists, and other participants of the ISMB/ECCB 2013 workshop "The 'How To Guide' for Establishing a Successful Bioinformatics Network" at the 21st Annual International Conference on Intelligent Systems for Molecular Biology (ISMB) and the 12th European Conference on Computational Biology (ECCB).
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Affiliation(s)
- Aidan Budd
- Structural and Computational Biology (SCB) Unit, European Molecular Biology Laboratory (EMBL), Heidelberg, Germany
| | - Manuel Corpas
- The Genome Analysis Centre (TGAC), Norwich Research Park, Norwich, United Kingdom
| | - Michelle D. Brazas
- Ontario Institute for Cancer Research, MaRS Centre, West Tower, Toronto, Ontario, Canada
| | - Jonathan C. Fuller
- Heidelberg Institute for Theoretical Studies (HITS) gGmbH, Heidelberg, Germany
| | - Jeremy Goecks
- The Computational Biology Institute, George Washington University, Innovation Hall, Virginia, United States of America
| | - Nicola J. Mulder
- Computational Biology Group, Institute of Infectious Disease and Molecular Medicine (IDM), University of Cape Town Faculty of Health Sciences, Cape Town, South Africa
| | - Magali Michaut
- Computational Cancer Biology, Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - B. F. Francis Ouellette
- Ontario Institute for Cancer Research, MaRS Centre, West Tower, Toronto, Ontario, Canada
- Department of Cell and Systems Biology, University of Toronto, Toronto, Canada
| | - Aleksandra Pawlik
- The Software Sustainability Institute, School of Computer Science, University of Manchester, Manchester, United Kingdom
| | - Niklas Blomberg
- ELIXIR Hub, Wellcome Trust Genome Campus, Cambridge, United Kingdom
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Budd A, Dinkel H, Corpas M, Fuller JC, Rubinat L, Devos DP, Khoueiry PH, Förstner KU, Georgatos F, Rowland F, Sharan M, Binder JX, Grace T, Traphagen K, Gristwood A, Wood NT. Ten simple rules for organizing an unconference. PLoS Comput Biol 2015; 11:e1003905. [PMID: 25633715 PMCID: PMC4310607 DOI: 10.1371/journal.pcbi.1003905] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/02/2022] Open
Affiliation(s)
- Aidan Budd
- Structural and Computational Biology (SCB) Unit, European Molecular Biology Laboratory (EMBL), Heidelberg, Germany
- * E-mail: (AB); (PHK)
| | - Holger Dinkel
- Structural and Computational Biology (SCB) Unit, European Molecular Biology Laboratory (EMBL), Heidelberg, Germany
| | - Manuel Corpas
- The Genome Analysis Centre (TGAC), Norwich Research Park, Norwich, United Kingdom
| | - Jonathan C. Fuller
- Heidelberg Institute for Theoretical Studies (HITS) gGmbH, Heidelberg, Germany
| | - Laura Rubinat
- Structural and Computational Biology (SCB) Unit, European Molecular Biology Laboratory (EMBL), Heidelberg, Germany
- Molecular Microbial Ecology Group, Institute of Aquatic Ecology, Universitat de Girona, Girona, Spain
| | - Damien P. Devos
- Centro Andaluz de Biología del Desarrollo (CABD), Universidad Pablo de Olavide, Sevilla, Spain
| | - Pierre H. Khoueiry
- Genome Biology (GB) Unit, European Molecular Biology Laboratory (EMBL), Heidelberg, Germany
- * E-mail: (AB); (PHK)
| | | | - Fotis Georgatos
- Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Luxembourg
| | - Francis Rowland
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, United Kingdom
| | - Malvika Sharan
- Institute for Molecular Infection Biology, Universität Würzburg, Würzburg, Germany
| | - Janos X. Binder
- Structural and Computational Biology (SCB) Unit, European Molecular Biology Laboratory (EMBL), Heidelberg, Germany
- Bioinformatics Core Facility, Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Walferdange, Luxembourg
| | - Tom Grace
- Typeface & Lettering Design, Heidelberg, Germany
| | - Karyn Traphagen
- ScienceOnline, Durham, North Carolina, United States of America
| | - Adam Gristwood
- Office of Information and Public Affairs, European Molecular Biology Laboratory (EMBL), Heidelberg, Germany
| | - Natasha T. Wood
- South African National Bioinformatics Institute (SANBI), South African Medical Research Council Bioinformatics Unit, University of the Western Cape, Cape Town, South Africa
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Corpas M, Jimenez RC, Bongcam-Rudloff E, Budd A, Brazas MD, Fernandes PL, Gaeta B, van Gelder C, Korpelainen E, Lewitter F, McGrath A, MacLean D, Palagi PM, Rother K, Taylor J, Via A, Watson M, Schneider MV, Attwood TK. The GOBLET training portal: a global repository of bioinformatics training materials, courses and trainers. Bioinformatics 2014; 31:140-2. [PMID: 25189782 PMCID: PMC4271145 DOI: 10.1093/bioinformatics/btu601] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.0] [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] [Indexed: 12/02/2022] Open
Abstract
Summary: Rapid technological advances have led to an explosion of biomedical data in recent years. The pace of change has inspired new collaborative approaches for sharing materials and resources to help train life scientists both in the use of cutting-edge bioinformatics tools and databases and in how to analyse and interpret large datasets. A prototype platform for sharing such training resources was recently created by the Bioinformatics Training Network (BTN). Building on this work, we have created a centralized portal for sharing training materials and courses, including a catalogue of trainers and course organizers, and an announcement service for training events. For course organizers, the portal provides opportunities to promote their training events; for trainers, the portal offers an environment for sharing materials, for gaining visibility for their work and promoting their skills; for trainees, it offers a convenient one-stop shop for finding suitable training resources and identifying relevant training events and activities locally and worldwide. Availability and implementation:http://mygoblet.org/training-portal Contact:manuel.corpas@tgac.ac.uk
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Affiliation(s)
- Manuel Corpas
- The Genome Analysis Centre, Norwich, ELIXIR, Wellcome Trust Genome Campus, Hinxton, UK, The Swedish University for Agricultural Sciences, Uppsala, Sweden, European Molecular Biology Laboratory, Heidelberg, Germany, Ontario Institute for Cancer Research, Toronto, Canada, Instituto Gulbenkian de Ciência, Oeiras, Portugal, The University of New South Wales, Sydney, Australia, Netherlands Bioinformatics Centre, Department of Bioinformatics, Radboud Medical Center, Nijmegen, The Netherlands, CSC - IT Center for Science Ltd., Espoo, Finland, Whitehead Institute for Biomedical Research, MIT, Cambridge, MA, USA, CSIRO, Bioinformatics Core, Canberra, Australia, The Sainsbury Laboratory, Norwich Research Park, Norwich, UK, SIB Swiss Institute of Bioinformatics, 1 Rue Michel Servet, Genève, Switzerland, Academis, Illstrasse 12, 12161 Berlin, Germany, The Nowgen Centre, 29 Grafton Street, Manchester, UK, Department of Physics, Sapienza University, Rome, Italy, The Roslin Institute, Edinburgh, UK and The University of Manchester, Manchester, UK
| | - Rafael C Jimenez
- The Genome Analysis Centre, Norwich, ELIXIR, Wellcome Trust Genome Campus, Hinxton, UK, The Swedish University for Agricultural Sciences, Uppsala, Sweden, European Molecular Biology Laboratory, Heidelberg, Germany, Ontario Institute for Cancer Research, Toronto, Canada, Instituto Gulbenkian de Ciência, Oeiras, Portugal, The University of New South Wales, Sydney, Australia, Netherlands Bioinformatics Centre, Department of Bioinformatics, Radboud Medical Center, Nijmegen, The Netherlands, CSC - IT Center for Science Ltd., Espoo, Finland, Whitehead Institute for Biomedical Research, MIT, Cambridge, MA, USA, CSIRO, Bioinformatics Core, Canberra, Australia, The Sainsbury Laboratory, Norwich Research Park, Norwich, UK, SIB Swiss Institute of Bioinformatics, 1 Rue Michel Servet, Genève, Switzerland, Academis, Illstrasse 12, 12161 Berlin, Germany, The Nowgen Centre, 29 Grafton Street, Manchester, UK, Department of Physics, Sapienza University, Rome, Italy, The Roslin Institute, Edinburgh, UK and The University of Manchester, Manchester, UK
| | - Erik Bongcam-Rudloff
- The Genome Analysis Centre, Norwich, ELIXIR, Wellcome Trust Genome Campus, Hinxton, UK, The Swedish University for Agricultural Sciences, Uppsala, Sweden, European Molecular Biology Laboratory, Heidelberg, Germany, Ontario Institute for Cancer Research, Toronto, Canada, Instituto Gulbenkian de Ciência, Oeiras, Portugal, The University of New South Wales, Sydney, Australia, Netherlands Bioinformatics Centre, Department of Bioinformatics, Radboud Medical Center, Nijmegen, The Netherlands, CSC - IT Center for Science Ltd., Espoo, Finland, Whitehead Institute for Biomedical Research, MIT, Cambridge, MA, USA, CSIRO, Bioinformatics Core, Canberra, Australia, The Sainsbury Laboratory, Norwich Research Park, Norwich, UK, SIB Swiss Institute of Bioinformatics, 1 Rue Michel Servet, Genève, Switzerland, Academis, Illstrasse 12, 12161 Berlin, Germany, The Nowgen Centre, 29 Grafton Street, Manchester, UK, Department of Physics, Sapienza University, Rome, Italy, The Roslin Institute, Edinburgh, UK and The University of Manchester, Manchester, UK
| | - Aidan Budd
- The Genome Analysis Centre, Norwich, ELIXIR, Wellcome Trust Genome Campus, Hinxton, UK, The Swedish University for Agricultural Sciences, Uppsala, Sweden, European Molecular Biology Laboratory, Heidelberg, Germany, Ontario Institute for Cancer Research, Toronto, Canada, Instituto Gulbenkian de Ciência, Oeiras, Portugal, The University of New South Wales, Sydney, Australia, Netherlands Bioinformatics Centre, Department of Bioinformatics, Radboud Medical Center, Nijmegen, The Netherlands, CSC - IT Center for Science Ltd., Espoo, Finland, Whitehead Institute for Biomedical Research, MIT, Cambridge, MA, USA, CSIRO, Bioinformatics Core, Canberra, Australia, The Sainsbury Laboratory, Norwich Research Park, Norwich, UK, SIB Swiss Institute of Bioinformatics, 1 Rue Michel Servet, Genève, Switzerland, Academis, Illstrasse 12, 12161 Berlin, Germany, The Nowgen Centre, 29 Grafton Street, Manchester, UK, Department of Physics, Sapienza University, Rome, Italy, The Roslin Institute, Edinburgh, UK and The University of Manchester, Manchester, UK
| | - Michelle D Brazas
- The Genome Analysis Centre, Norwich, ELIXIR, Wellcome Trust Genome Campus, Hinxton, UK, The Swedish University for Agricultural Sciences, Uppsala, Sweden, European Molecular Biology Laboratory, Heidelberg, Germany, Ontario Institute for Cancer Research, Toronto, Canada, Instituto Gulbenkian de Ciência, Oeiras, Portugal, The University of New South Wales, Sydney, Australia, Netherlands Bioinformatics Centre, Department of Bioinformatics, Radboud Medical Center, Nijmegen, The Netherlands, CSC - IT Center for Science Ltd., Espoo, Finland, Whitehead Institute for Biomedical Research, MIT, Cambridge, MA, USA, CSIRO, Bioinformatics Core, Canberra, Australia, The Sainsbury Laboratory, Norwich Research Park, Norwich, UK, SIB Swiss Institute of Bioinformatics, 1 Rue Michel Servet, Genève, Switzerland, Academis, Illstrasse 12, 12161 Berlin, Germany, The Nowgen Centre, 29 Grafton Street, Manchester, UK, Department of Physics, Sapienza University, Rome, Italy, The Roslin Institute, Edinburgh, UK and The University of Manchester, Manchester, UK
| | - Pedro L Fernandes
- The Genome Analysis Centre, Norwich, ELIXIR, Wellcome Trust Genome Campus, Hinxton, UK, The Swedish University for Agricultural Sciences, Uppsala, Sweden, European Molecular Biology Laboratory, Heidelberg, Germany, Ontario Institute for Cancer Research, Toronto, Canada, Instituto Gulbenkian de Ciência, Oeiras, Portugal, The University of New South Wales, Sydney, Australia, Netherlands Bioinformatics Centre, Department of Bioinformatics, Radboud Medical Center, Nijmegen, The Netherlands, CSC - IT Center for Science Ltd., Espoo, Finland, Whitehead Institute for Biomedical Research, MIT, Cambridge, MA, USA, CSIRO, Bioinformatics Core, Canberra, Australia, The Sainsbury Laboratory, Norwich Research Park, Norwich, UK, SIB Swiss Institute of Bioinformatics, 1 Rue Michel Servet, Genève, Switzerland, Academis, Illstrasse 12, 12161 Berlin, Germany, The Nowgen Centre, 29 Grafton Street, Manchester, UK, Department of Physics, Sapienza University, Rome, Italy, The Roslin Institute, Edinburgh, UK and The University of Manchester, Manchester, UK
| | - Bruno Gaeta
- The Genome Analysis Centre, Norwich, ELIXIR, Wellcome Trust Genome Campus, Hinxton, UK, The Swedish University for Agricultural Sciences, Uppsala, Sweden, European Molecular Biology Laboratory, Heidelberg, Germany, Ontario Institute for Cancer Research, Toronto, Canada, Instituto Gulbenkian de Ciência, Oeiras, Portugal, The University of New South Wales, Sydney, Australia, Netherlands Bioinformatics Centre, Department of Bioinformatics, Radboud Medical Center, Nijmegen, The Netherlands, CSC - IT Center for Science Ltd., Espoo, Finland, Whitehead Institute for Biomedical Research, MIT, Cambridge, MA, USA, CSIRO, Bioinformatics Core, Canberra, Australia, The Sainsbury Laboratory, Norwich Research Park, Norwich, UK, SIB Swiss Institute of Bioinformatics, 1 Rue Michel Servet, Genève, Switzerland, Academis, Illstrasse 12, 12161 Berlin, Germany, The Nowgen Centre, 29 Grafton Street, Manchester, UK, Department of Physics, Sapienza University, Rome, Italy, The Roslin Institute, Edinburgh, UK and The University of Manchester, Manchester, UK
| | - Celia van Gelder
- The Genome Analysis Centre, Norwich, ELIXIR, Wellcome Trust Genome Campus, Hinxton, UK, The Swedish University for Agricultural Sciences, Uppsala, Sweden, European Molecular Biology Laboratory, Heidelberg, Germany, Ontario Institute for Cancer Research, Toronto, Canada, Instituto Gulbenkian de Ciência, Oeiras, Portugal, The University of New South Wales, Sydney, Australia, Netherlands Bioinformatics Centre, Department of Bioinformatics, Radboud Medical Center, Nijmegen, The Netherlands, CSC - IT Center for Science Ltd., Espoo, Finland, Whitehead Institute for Biomedical Research, MIT, Cambridge, MA, USA, CSIRO, Bioinformatics Core, Canberra, Australia, The Sainsbury Laboratory, Norwich Research Park, Norwich, UK, SIB Swiss Institute of Bioinformatics, 1 Rue Michel Servet, Genève, Switzerland, Academis, Illstrasse 12, 12161 Berlin, Germany, The Nowgen Centre, 29 Grafton Street, Manchester, UK, Department of Physics, Sapienza University, Rome, Italy, The Roslin Institute, Edinburgh, UK and The University of Manchester, Manchester, UK The Genome Analysis Centre, Norwich, ELIXIR, Wellcome Trust Genome Campus, Hinxton, UK, The Swedish University for Agricultural Sciences, Uppsala, Sweden, European Molecular Biology Laboratory, Heidelberg, Germany, Ontario Institute for Cancer Research, Toronto, Canada, Instituto Gulbenkian de Ciência, Oeiras, Portugal, The University of New South Wales, Sydney, Australia, Netherlands Bioinformatics Centre, Department of Bioinformatics, Radboud Medical Center, Nijmegen, The Netherlands, CSC - IT Center for Science Ltd., Espoo, Finland, Whitehead Institute for Biomedical Research, MIT, Cambridge, MA, USA, CSIRO, Bioinformatics Core, Canberra, Australia, The Sainsbury Laboratory, Norwich Research Park, Norwich, UK, SIB Swiss Institute of Bioinformatics, 1 Rue Michel Servet, Genève, Switzerland, Academis, Illstrasse 12, 12161 Berlin, Germany, The Nowgen Centre, 29 Grafton Street, Manchester, UK, Department of Physics, Sapienza University
| | - Eija Korpelainen
- The Genome Analysis Centre, Norwich, ELIXIR, Wellcome Trust Genome Campus, Hinxton, UK, The Swedish University for Agricultural Sciences, Uppsala, Sweden, European Molecular Biology Laboratory, Heidelberg, Germany, Ontario Institute for Cancer Research, Toronto, Canada, Instituto Gulbenkian de Ciência, Oeiras, Portugal, The University of New South Wales, Sydney, Australia, Netherlands Bioinformatics Centre, Department of Bioinformatics, Radboud Medical Center, Nijmegen, The Netherlands, CSC - IT Center for Science Ltd., Espoo, Finland, Whitehead Institute for Biomedical Research, MIT, Cambridge, MA, USA, CSIRO, Bioinformatics Core, Canberra, Australia, The Sainsbury Laboratory, Norwich Research Park, Norwich, UK, SIB Swiss Institute of Bioinformatics, 1 Rue Michel Servet, Genève, Switzerland, Academis, Illstrasse 12, 12161 Berlin, Germany, The Nowgen Centre, 29 Grafton Street, Manchester, UK, Department of Physics, Sapienza University, Rome, Italy, The Roslin Institute, Edinburgh, UK and The University of Manchester, Manchester, UK
| | - Fran Lewitter
- The Genome Analysis Centre, Norwich, ELIXIR, Wellcome Trust Genome Campus, Hinxton, UK, The Swedish University for Agricultural Sciences, Uppsala, Sweden, European Molecular Biology Laboratory, Heidelberg, Germany, Ontario Institute for Cancer Research, Toronto, Canada, Instituto Gulbenkian de Ciência, Oeiras, Portugal, The University of New South Wales, Sydney, Australia, Netherlands Bioinformatics Centre, Department of Bioinformatics, Radboud Medical Center, Nijmegen, The Netherlands, CSC - IT Center for Science Ltd., Espoo, Finland, Whitehead Institute for Biomedical Research, MIT, Cambridge, MA, USA, CSIRO, Bioinformatics Core, Canberra, Australia, The Sainsbury Laboratory, Norwich Research Park, Norwich, UK, SIB Swiss Institute of Bioinformatics, 1 Rue Michel Servet, Genève, Switzerland, Academis, Illstrasse 12, 12161 Berlin, Germany, The Nowgen Centre, 29 Grafton Street, Manchester, UK, Department of Physics, Sapienza University, Rome, Italy, The Roslin Institute, Edinburgh, UK and The University of Manchester, Manchester, UK
| | - Annette McGrath
- The Genome Analysis Centre, Norwich, ELIXIR, Wellcome Trust Genome Campus, Hinxton, UK, The Swedish University for Agricultural Sciences, Uppsala, Sweden, European Molecular Biology Laboratory, Heidelberg, Germany, Ontario Institute for Cancer Research, Toronto, Canada, Instituto Gulbenkian de Ciência, Oeiras, Portugal, The University of New South Wales, Sydney, Australia, Netherlands Bioinformatics Centre, Department of Bioinformatics, Radboud Medical Center, Nijmegen, The Netherlands, CSC - IT Center for Science Ltd., Espoo, Finland, Whitehead Institute for Biomedical Research, MIT, Cambridge, MA, USA, CSIRO, Bioinformatics Core, Canberra, Australia, The Sainsbury Laboratory, Norwich Research Park, Norwich, UK, SIB Swiss Institute of Bioinformatics, 1 Rue Michel Servet, Genève, Switzerland, Academis, Illstrasse 12, 12161 Berlin, Germany, The Nowgen Centre, 29 Grafton Street, Manchester, UK, Department of Physics, Sapienza University, Rome, Italy, The Roslin Institute, Edinburgh, UK and The University of Manchester, Manchester, UK
| | - Daniel MacLean
- The Genome Analysis Centre, Norwich, ELIXIR, Wellcome Trust Genome Campus, Hinxton, UK, The Swedish University for Agricultural Sciences, Uppsala, Sweden, European Molecular Biology Laboratory, Heidelberg, Germany, Ontario Institute for Cancer Research, Toronto, Canada, Instituto Gulbenkian de Ciência, Oeiras, Portugal, The University of New South Wales, Sydney, Australia, Netherlands Bioinformatics Centre, Department of Bioinformatics, Radboud Medical Center, Nijmegen, The Netherlands, CSC - IT Center for Science Ltd., Espoo, Finland, Whitehead Institute for Biomedical Research, MIT, Cambridge, MA, USA, CSIRO, Bioinformatics Core, Canberra, Australia, The Sainsbury Laboratory, Norwich Research Park, Norwich, UK, SIB Swiss Institute of Bioinformatics, 1 Rue Michel Servet, Genève, Switzerland, Academis, Illstrasse 12, 12161 Berlin, Germany, The Nowgen Centre, 29 Grafton Street, Manchester, UK, Department of Physics, Sapienza University, Rome, Italy, The Roslin Institute, Edinburgh, UK and The University of Manchester, Manchester, UK
| | - Patricia M Palagi
- The Genome Analysis Centre, Norwich, ELIXIR, Wellcome Trust Genome Campus, Hinxton, UK, The Swedish University for Agricultural Sciences, Uppsala, Sweden, European Molecular Biology Laboratory, Heidelberg, Germany, Ontario Institute for Cancer Research, Toronto, Canada, Instituto Gulbenkian de Ciência, Oeiras, Portugal, The University of New South Wales, Sydney, Australia, Netherlands Bioinformatics Centre, Department of Bioinformatics, Radboud Medical Center, Nijmegen, The Netherlands, CSC - IT Center for Science Ltd., Espoo, Finland, Whitehead Institute for Biomedical Research, MIT, Cambridge, MA, USA, CSIRO, Bioinformatics Core, Canberra, Australia, The Sainsbury Laboratory, Norwich Research Park, Norwich, UK, SIB Swiss Institute of Bioinformatics, 1 Rue Michel Servet, Genève, Switzerland, Academis, Illstrasse 12, 12161 Berlin, Germany, The Nowgen Centre, 29 Grafton Street, Manchester, UK, Department of Physics, Sapienza University, Rome, Italy, The Roslin Institute, Edinburgh, UK and The University of Manchester, Manchester, UK
| | - Kristian Rother
- The Genome Analysis Centre, Norwich, ELIXIR, Wellcome Trust Genome Campus, Hinxton, UK, The Swedish University for Agricultural Sciences, Uppsala, Sweden, European Molecular Biology Laboratory, Heidelberg, Germany, Ontario Institute for Cancer Research, Toronto, Canada, Instituto Gulbenkian de Ciência, Oeiras, Portugal, The University of New South Wales, Sydney, Australia, Netherlands Bioinformatics Centre, Department of Bioinformatics, Radboud Medical Center, Nijmegen, The Netherlands, CSC - IT Center for Science Ltd., Espoo, Finland, Whitehead Institute for Biomedical Research, MIT, Cambridge, MA, USA, CSIRO, Bioinformatics Core, Canberra, Australia, The Sainsbury Laboratory, Norwich Research Park, Norwich, UK, SIB Swiss Institute of Bioinformatics, 1 Rue Michel Servet, Genève, Switzerland, Academis, Illstrasse 12, 12161 Berlin, Germany, The Nowgen Centre, 29 Grafton Street, Manchester, UK, Department of Physics, Sapienza University, Rome, Italy, The Roslin Institute, Edinburgh, UK and The University of Manchester, Manchester, UK
| | - Jan Taylor
- The Genome Analysis Centre, Norwich, ELIXIR, Wellcome Trust Genome Campus, Hinxton, UK, The Swedish University for Agricultural Sciences, Uppsala, Sweden, European Molecular Biology Laboratory, Heidelberg, Germany, Ontario Institute for Cancer Research, Toronto, Canada, Instituto Gulbenkian de Ciência, Oeiras, Portugal, The University of New South Wales, Sydney, Australia, Netherlands Bioinformatics Centre, Department of Bioinformatics, Radboud Medical Center, Nijmegen, The Netherlands, CSC - IT Center for Science Ltd., Espoo, Finland, Whitehead Institute for Biomedical Research, MIT, Cambridge, MA, USA, CSIRO, Bioinformatics Core, Canberra, Australia, The Sainsbury Laboratory, Norwich Research Park, Norwich, UK, SIB Swiss Institute of Bioinformatics, 1 Rue Michel Servet, Genève, Switzerland, Academis, Illstrasse 12, 12161 Berlin, Germany, The Nowgen Centre, 29 Grafton Street, Manchester, UK, Department of Physics, Sapienza University, Rome, Italy, The Roslin Institute, Edinburgh, UK and The University of Manchester, Manchester, UK
| | - Allegra Via
- The Genome Analysis Centre, Norwich, ELIXIR, Wellcome Trust Genome Campus, Hinxton, UK, The Swedish University for Agricultural Sciences, Uppsala, Sweden, European Molecular Biology Laboratory, Heidelberg, Germany, Ontario Institute for Cancer Research, Toronto, Canada, Instituto Gulbenkian de Ciência, Oeiras, Portugal, The University of New South Wales, Sydney, Australia, Netherlands Bioinformatics Centre, Department of Bioinformatics, Radboud Medical Center, Nijmegen, The Netherlands, CSC - IT Center for Science Ltd., Espoo, Finland, Whitehead Institute for Biomedical Research, MIT, Cambridge, MA, USA, CSIRO, Bioinformatics Core, Canberra, Australia, The Sainsbury Laboratory, Norwich Research Park, Norwich, UK, SIB Swiss Institute of Bioinformatics, 1 Rue Michel Servet, Genève, Switzerland, Academis, Illstrasse 12, 12161 Berlin, Germany, The Nowgen Centre, 29 Grafton Street, Manchester, UK, Department of Physics, Sapienza University, Rome, Italy, The Roslin Institute, Edinburgh, UK and The University of Manchester, Manchester, UK
| | - Mick Watson
- The Genome Analysis Centre, Norwich, ELIXIR, Wellcome Trust Genome Campus, Hinxton, UK, The Swedish University for Agricultural Sciences, Uppsala, Sweden, European Molecular Biology Laboratory, Heidelberg, Germany, Ontario Institute for Cancer Research, Toronto, Canada, Instituto Gulbenkian de Ciência, Oeiras, Portugal, The University of New South Wales, Sydney, Australia, Netherlands Bioinformatics Centre, Department of Bioinformatics, Radboud Medical Center, Nijmegen, The Netherlands, CSC - IT Center for Science Ltd., Espoo, Finland, Whitehead Institute for Biomedical Research, MIT, Cambridge, MA, USA, CSIRO, Bioinformatics Core, Canberra, Australia, The Sainsbury Laboratory, Norwich Research Park, Norwich, UK, SIB Swiss Institute of Bioinformatics, 1 Rue Michel Servet, Genève, Switzerland, Academis, Illstrasse 12, 12161 Berlin, Germany, The Nowgen Centre, 29 Grafton Street, Manchester, UK, Department of Physics, Sapienza University, Rome, Italy, The Roslin Institute, Edinburgh, UK and The University of Manchester, Manchester, UK
| | - Maria Victoria Schneider
- The Genome Analysis Centre, Norwich, ELIXIR, Wellcome Trust Genome Campus, Hinxton, UK, The Swedish University for Agricultural Sciences, Uppsala, Sweden, European Molecular Biology Laboratory, Heidelberg, Germany, Ontario Institute for Cancer Research, Toronto, Canada, Instituto Gulbenkian de Ciência, Oeiras, Portugal, The University of New South Wales, Sydney, Australia, Netherlands Bioinformatics Centre, Department of Bioinformatics, Radboud Medical Center, Nijmegen, The Netherlands, CSC - IT Center for Science Ltd., Espoo, Finland, Whitehead Institute for Biomedical Research, MIT, Cambridge, MA, USA, CSIRO, Bioinformatics Core, Canberra, Australia, The Sainsbury Laboratory, Norwich Research Park, Norwich, UK, SIB Swiss Institute of Bioinformatics, 1 Rue Michel Servet, Genève, Switzerland, Academis, Illstrasse 12, 12161 Berlin, Germany, The Nowgen Centre, 29 Grafton Street, Manchester, UK, Department of Physics, Sapienza University, Rome, Italy, The Roslin Institute, Edinburgh, UK and The University of Manchester, Manchester, UK
| | - Teresa K Attwood
- The Genome Analysis Centre, Norwich, ELIXIR, Wellcome Trust Genome Campus, Hinxton, UK, The Swedish University for Agricultural Sciences, Uppsala, Sweden, European Molecular Biology Laboratory, Heidelberg, Germany, Ontario Institute for Cancer Research, Toronto, Canada, Instituto Gulbenkian de Ciência, Oeiras, Portugal, The University of New South Wales, Sydney, Australia, Netherlands Bioinformatics Centre, Department of Bioinformatics, Radboud Medical Center, Nijmegen, The Netherlands, CSC - IT Center for Science Ltd., Espoo, Finland, Whitehead Institute for Biomedical Research, MIT, Cambridge, MA, USA, CSIRO, Bioinformatics Core, Canberra, Australia, The Sainsbury Laboratory, Norwich Research Park, Norwich, UK, SIB Swiss Institute of Bioinformatics, 1 Rue Michel Servet, Genève, Switzerland, Academis, Illstrasse 12, 12161 Berlin, Germany, The Nowgen Centre, 29 Grafton Street, Manchester, UK, Department of Physics, Sapienza University, Rome, Italy, The Roslin Institute, Edinburgh, UK and The University of Manchester, Manchester, UK
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9
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Van Roey K, Uyar B, Weatheritt RJ, Dinkel H, Seiler M, Budd A, Gibson TJ, Davey NE. Short Linear Motifs: Ubiquitous and Functionally Diverse Protein Interaction Modules Directing Cell Regulation. Chem Rev 2014; 114:6733-78. [DOI: 10.1021/cr400585q] [Citation(s) in RCA: 293] [Impact Index Per Article: 29.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Affiliation(s)
- Kim Van Roey
- Structural
and Computational Biology Unit, European Molecular Biology Laboratory (EMBL), Meyerhofstrasse 1, 69117 Heidelberg, Germany
| | - Bora Uyar
- Structural
and Computational Biology Unit, European Molecular Biology Laboratory (EMBL), Meyerhofstrasse 1, 69117 Heidelberg, Germany
| | - Robert J. Weatheritt
- MRC
Laboratory of Molecular Biology (LMB), Francis Crick Avenue, Cambridge Biomedical Campus, Cambridge CB2 0QH, United Kingdom
| | - Holger Dinkel
- Structural
and Computational Biology Unit, European Molecular Biology Laboratory (EMBL), Meyerhofstrasse 1, 69117 Heidelberg, Germany
| | - Markus Seiler
- Structural
and Computational Biology Unit, European Molecular Biology Laboratory (EMBL), Meyerhofstrasse 1, 69117 Heidelberg, Germany
| | - Aidan Budd
- Structural
and Computational Biology Unit, European Molecular Biology Laboratory (EMBL), Meyerhofstrasse 1, 69117 Heidelberg, Germany
| | - Toby J. Gibson
- Structural
and Computational Biology Unit, European Molecular Biology Laboratory (EMBL), Meyerhofstrasse 1, 69117 Heidelberg, Germany
| | - Norman E. Davey
- Structural
and Computational Biology Unit, European Molecular Biology Laboratory (EMBL), Meyerhofstrasse 1, 69117 Heidelberg, Germany
- Department
of Physiology, University of California, San Francisco, San Francisco, California 94143, United States
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10
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Dinkel H, Van Roey K, Michael S, Davey NE, Weatheritt RJ, Born D, Speck T, Krüger D, Grebnev G, Kuban M, Strumillo M, Uyar B, Budd A, Altenberg B, Seiler M, Chemes LB, Glavina J, Sánchez IE, Diella F, Gibson TJ. The eukaryotic linear motif resource ELM: 10 years and counting. Nucleic Acids Res 2013; 42:D259-66. [PMID: 24214962 PMCID: PMC3964949 DOI: 10.1093/nar/gkt1047] [Citation(s) in RCA: 229] [Impact Index Per Article: 20.8] [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] [Indexed: 02/05/2023] Open
Abstract
The eukaryotic linear motif (ELM http://elm.eu.org) resource is a hub for collecting, classifying and curating information about short linear motifs (SLiMs). For >10 years, this resource has provided the scientific community with a freely accessible guide to the biology and function of linear motifs. The current version of ELM contains ∼200 different motif classes with over 2400 experimentally validated instances manually curated from >2000 scientific publications. Furthermore, detailed information about motif-mediated interactions has been annotated and made available in standard exchange formats. Where appropriate, links are provided to resources such as switches.elm.eu.org and KEGG pathways.
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Affiliation(s)
- Holger Dinkel
- Structural and Computational Biology, European Molecular Biology Laboratory, Meyerhofstrasse 1, 69117 Heidelberg, Germany, Department of Physiology, University of California, San Francisco, 600 16th Street, San Francisco, CA 94158, USA, Structural Studies Division, MRC, Laboratory of Molecular Biology, Francis Crick Avenue, Cambridge Biomedical Campus, Cambridge CB2 0QH, UK, Ruprecht-Karls-Universität, 69117 Heidelberg, Germany, School of Biology and Environmental Science, University College Dublin, Belfield, Dublin 4, Co. Dublin, Republic of Ireland, Laboratory of Bioinformatics and Biostatistics, Maria Sklodowska-Curie Memorial Cancer Center and Institute of Oncology, WK Roentgena 5, 02-781 Warsaw, Poland, Protein Structure-Function and Engineering Laboratory, Fundación Instituto Leloir and Instituto de Investigaciones Bioquímicas de Buenos Aires-Consejo Nacional de Investigaciones Científicas y Técnicas Avenida Patricias Argentinas 435 CP 1405 Buenos Aires, Argentina and Departamento de Química Biológica and IQUIBICEN-CONICET, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Intendente Gúiraldes 2160 CP 1428, Argentina
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11
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Jimenez RC, Albar JP, Bhak J, Blatter MC, Blicher T, Brazas MD, Brooksbank C, Budd A, De Las Rivas J, Dreyer J, van Driel MA, Dunn MJ, Fernandes PL, van Gelder CWG, Hermjakob H, Ioannidis V, Judge DP, Kahlem P, Korpelainen E, Kraus HJ, Loveland J, Mayer C, McDowall J, Moran F, Mulder N, Nyronen T, Rother K, Salazar GA, Schneider R, Via A, Villaveces JM, Yu P, Schneider MV, Attwood TK, Corpas M. iAnn: an event sharing platform for the life sciences. Bioinformatics 2013; 29:1919-21. [PMID: 23742982 PMCID: PMC3712218 DOI: 10.1093/bioinformatics/btt306] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [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] [Indexed: 11/13/2022] Open
Abstract
SUMMARY We present iAnn, an open source community-driven platform for dissemination of life science events, such as courses, conferences and workshops. iAnn allows automatic visualisation and integration of customised event reports. A central repository lies at the core of the platform: curators add submitted events, and these are subsequently accessed via web services. Thus, once an iAnn widget is incorporated into a website, it permanently shows timely relevant information as if it were native to the remote site. At the same time, announcements submitted to the repository are automatically disseminated to all portals that query the system. To facilitate the visualization of announcements, iAnn provides powerful filtering options and views, integrated in Google Maps and Google Calendar. All iAnn widgets are freely available. AVAILABILITY http://iann.pro/iannviewer CONTACT manuel.corpas@tgac.ac.uk.
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Affiliation(s)
- Rafael C Jimenez
- EMBL-EBI, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SD, UK
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12
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Via A, Blicher T, Bongcam-Rudloff E, Brazas MD, Brooksbank C, Budd A, De Las Rivas J, Dreyer J, Fernandes PL, van Gelder C, Jacob J, Jimenez RC, Loveland J, Moran F, Mulder N, Nyrönen T, Rother K, Schneider MV, Attwood TK. Best practices in bioinformatics training for life scientists. Brief Bioinform 2013; 14:528-37. [PMID: 23803301 PMCID: PMC3771230 DOI: 10.1093/bib/bbt043] [Citation(s) in RCA: 45] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
The mountains of data thrusting from the new landscape of modern high-throughput biology are irrevocably changing biomedical research and creating a near-insatiable demand for training in data management and manipulation and data mining and analysis. Among life scientists, from clinicians to environmental researchers, a common theme is the need not just to use, and gain familiarity with, bioinformatics tools and resources but also to understand their underlying fundamental theoretical and practical concepts. Providing bioinformatics training to empower life scientists to handle and analyse their data efficiently, and progress their research, is a challenge across the globe. Delivering good training goes beyond traditional lectures and resource-centric demos, using interactivity, problem-solving exercises and cooperative learning to substantially enhance training quality and learning outcomes. In this context, this article discusses various pragmatic criteria for identifying training needs and learning objectives, for selecting suitable trainees and trainers, for developing and maintaining training skills and evaluating training quality. Adherence to these criteria may help not only to guide course organizers and trainers on the path towards bioinformatics training excellence but, importantly, also to improve the training experience for life scientists.
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Affiliation(s)
- Allegra Via
- Department of Physics, Sapienza University, P.le Aldo Moro 5, 00185 Rome, Italy.
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13
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Budd A, Devos DP. Evaluating the Evolutionary Origins of Unexpected Character Distributions within the Bacterial Planctomycetes-Verrucomicrobia-Chlamydiae Superphylum. Front Microbiol 2012; 3:401. [PMID: 23189077 PMCID: PMC3505017 DOI: 10.3389/fmicb.2012.00401] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [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: 06/15/2012] [Accepted: 10/31/2012] [Indexed: 12/26/2022] Open
Abstract
Recently, several characters that are absent from most bacteria, but which are found in many eukaryotes or archaea, have been identified within the bacterial Planctomycetes-Verrucomicrobia-Chlamydiae (PVC) superphylum. Hypotheses of the evolutionary history of such characters are commonly based on the inference of phylogenies of gene or protein families associated with the traits, estimated from multiple sequence alignments (MSAs). So far, studies of this kind have focused on the distribution of (i) two genes involved in the synthesis of sterol, (ii) tubulin genes, and (iii) c1 transfer genes. In many cases, these analyses have concluded that horizontal gene transfer (HGT) is likely to have played a role in shaping the taxonomic distribution of these gene families. In this article, we describe several issues with the inference of HGT from such analyses, in particular concerning the considerable uncertainty associated with our estimation of both gene family phylogenies (especially those containing ancient lineage divergences) and the Tree of Life (ToL), and the need for wider use and further development of explicit probabilistic models to compare hypotheses of vertical and horizontal genetic transmission. We suggest that data which is often taken as evidence for the occurrence of ancient HGT events may not be as convincing as is commonly described, and consideration of alternative theories is recommended. While focusing on analyses including PVCs, this discussion is also relevant for inferences of HGT involving other groups of organisms.
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Affiliation(s)
- A. Budd
- European Molecular Biology LaboratoryHeidelberg, Germany
| | - D. P. Devos
- European Molecular Biology LaboratoryHeidelberg, Germany
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14
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Dinkel H, Michael S, Weatheritt RJ, Davey NE, Van Roey K, Altenberg B, Toedt G, Uyar B, Seiler M, Budd A, Jödicke L, Dammert MA, Schroeter C, Hammer M, Schmidt T, Jehl P, McGuigan C, Dymecka M, Chica C, Luck K, Via A, Chatr-aryamontri A, Haslam N, Grebnev G, Edwards RJ, Steinmetz MO, Meiselbach H, Diella F, Gibson TJ. ELM--the database of eukaryotic linear motifs. Nucleic Acids Res 2012; 40:D242-51. [PMID: 22110040 PMCID: PMC3245074 DOI: 10.1093/nar/gkr1064] [Citation(s) in RCA: 247] [Impact Index Per Article: 20.6] [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: 09/13/2011] [Revised: 10/27/2011] [Accepted: 10/27/2011] [Indexed: 01/08/2023] Open
Abstract
Linear motifs are short, evolutionarily plastic components of regulatory proteins and provide low-affinity interaction interfaces. These compact modules play central roles in mediating every aspect of the regulatory functionality of the cell. They are particularly prominent in mediating cell signaling, controlling protein turnover and directing protein localization. Given their importance, our understanding of motifs is surprisingly limited, largely as a result of the difficulty of discovery, both experimentally and computationally. The Eukaryotic Linear Motif (ELM) resource at http://elm.eu.org provides the biological community with a comprehensive database of known experimentally validated motifs, and an exploratory tool to discover putative linear motifs in user-submitted protein sequences. The current update of the ELM database comprises 1800 annotated motif instances representing 170 distinct functional classes, including approximately 500 novel instances and 24 novel classes. Several older motif class entries have been also revisited, improving annotation and adding novel instances. Furthermore, addition of full-text search capabilities, an enhanced interface and simplified batch download has improved the overall accessibility of the ELM data. The motif discovery portion of the ELM resource has added conservation, and structural attributes have been incorporated to aid users to discriminate biologically relevant motifs from stochastically occurring non-functional instances.
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Affiliation(s)
- Holger Dinkel
- Structural and Computational Biology, European Molecular Biology Laboratory, Heidelberg, Germany, Laboratory of Bioinformatics and Systems Biology, M. Sklodowska-Curie Cancer Center and Institute of Oncology, WK Roentgena 5, 02-781 Warsaw, Poland, Genoscope (CEA – Institut de Génomique), 2 rue Gaston Cremieux CP5706, 91057 Evry, Group Oncoproteins, Unité CNRS-UDS UMR 7242, Institut de Recherche de l'Ecole de Biotechnologie de Strasbourg, 1, Bd Sébastien Brant, BP 10413, 67412 Illkirch – Cedex, France, Biocomputing Group, Department of Physics, Sapienza University of Rome, P.le Aldo Moro 5, Rome, Italy, School of Biological Sciences, University of Edinburgh, Mayfield Road, Edinburgh EH9 3JR, UK, School of Medicine and Medical Science, University College, Dublin, Ireland, Centre for Biological Sciences, Institute for Life Sciences, University of Southampton, UK, Biomolecular Research, Paul Scherrer Institut, CH-5232 Villigen PSI, Switzerland, Bioinformatik, Institut für Biochemie, Friedrich-Alexander-Universität, Fahrstraße 17, 91054 Erlangen-Nürnberg and Molecular Health GmbH Belfortstr. 2, 69115 Heidelberg, Germany
| | - Sushama Michael
- Structural and Computational Biology, European Molecular Biology Laboratory, Heidelberg, Germany, Laboratory of Bioinformatics and Systems Biology, M. Sklodowska-Curie Cancer Center and Institute of Oncology, WK Roentgena 5, 02-781 Warsaw, Poland, Genoscope (CEA – Institut de Génomique), 2 rue Gaston Cremieux CP5706, 91057 Evry, Group Oncoproteins, Unité CNRS-UDS UMR 7242, Institut de Recherche de l'Ecole de Biotechnologie de Strasbourg, 1, Bd Sébastien Brant, BP 10413, 67412 Illkirch – Cedex, France, Biocomputing Group, Department of Physics, Sapienza University of Rome, P.le Aldo Moro 5, Rome, Italy, School of Biological Sciences, University of Edinburgh, Mayfield Road, Edinburgh EH9 3JR, UK, School of Medicine and Medical Science, University College, Dublin, Ireland, Centre for Biological Sciences, Institute for Life Sciences, University of Southampton, UK, Biomolecular Research, Paul Scherrer Institut, CH-5232 Villigen PSI, Switzerland, Bioinformatik, Institut für Biochemie, Friedrich-Alexander-Universität, Fahrstraße 17, 91054 Erlangen-Nürnberg and Molecular Health GmbH Belfortstr. 2, 69115 Heidelberg, Germany
| | - Robert J. Weatheritt
- Structural and Computational Biology, European Molecular Biology Laboratory, Heidelberg, Germany, Laboratory of Bioinformatics and Systems Biology, M. Sklodowska-Curie Cancer Center and Institute of Oncology, WK Roentgena 5, 02-781 Warsaw, Poland, Genoscope (CEA – Institut de Génomique), 2 rue Gaston Cremieux CP5706, 91057 Evry, Group Oncoproteins, Unité CNRS-UDS UMR 7242, Institut de Recherche de l'Ecole de Biotechnologie de Strasbourg, 1, Bd Sébastien Brant, BP 10413, 67412 Illkirch – Cedex, France, Biocomputing Group, Department of Physics, Sapienza University of Rome, P.le Aldo Moro 5, Rome, Italy, School of Biological Sciences, University of Edinburgh, Mayfield Road, Edinburgh EH9 3JR, UK, School of Medicine and Medical Science, University College, Dublin, Ireland, Centre for Biological Sciences, Institute for Life Sciences, University of Southampton, UK, Biomolecular Research, Paul Scherrer Institut, CH-5232 Villigen PSI, Switzerland, Bioinformatik, Institut für Biochemie, Friedrich-Alexander-Universität, Fahrstraße 17, 91054 Erlangen-Nürnberg and Molecular Health GmbH Belfortstr. 2, 69115 Heidelberg, Germany
| | - Norman E. Davey
- Structural and Computational Biology, European Molecular Biology Laboratory, Heidelberg, Germany, Laboratory of Bioinformatics and Systems Biology, M. Sklodowska-Curie Cancer Center and Institute of Oncology, WK Roentgena 5, 02-781 Warsaw, Poland, Genoscope (CEA – Institut de Génomique), 2 rue Gaston Cremieux CP5706, 91057 Evry, Group Oncoproteins, Unité CNRS-UDS UMR 7242, Institut de Recherche de l'Ecole de Biotechnologie de Strasbourg, 1, Bd Sébastien Brant, BP 10413, 67412 Illkirch – Cedex, France, Biocomputing Group, Department of Physics, Sapienza University of Rome, P.le Aldo Moro 5, Rome, Italy, School of Biological Sciences, University of Edinburgh, Mayfield Road, Edinburgh EH9 3JR, UK, School of Medicine and Medical Science, University College, Dublin, Ireland, Centre for Biological Sciences, Institute for Life Sciences, University of Southampton, UK, Biomolecular Research, Paul Scherrer Institut, CH-5232 Villigen PSI, Switzerland, Bioinformatik, Institut für Biochemie, Friedrich-Alexander-Universität, Fahrstraße 17, 91054 Erlangen-Nürnberg and Molecular Health GmbH Belfortstr. 2, 69115 Heidelberg, Germany
| | - Kim Van Roey
- Structural and Computational Biology, European Molecular Biology Laboratory, Heidelberg, Germany, Laboratory of Bioinformatics and Systems Biology, M. Sklodowska-Curie Cancer Center and Institute of Oncology, WK Roentgena 5, 02-781 Warsaw, Poland, Genoscope (CEA – Institut de Génomique), 2 rue Gaston Cremieux CP5706, 91057 Evry, Group Oncoproteins, Unité CNRS-UDS UMR 7242, Institut de Recherche de l'Ecole de Biotechnologie de Strasbourg, 1, Bd Sébastien Brant, BP 10413, 67412 Illkirch – Cedex, France, Biocomputing Group, Department of Physics, Sapienza University of Rome, P.le Aldo Moro 5, Rome, Italy, School of Biological Sciences, University of Edinburgh, Mayfield Road, Edinburgh EH9 3JR, UK, School of Medicine and Medical Science, University College, Dublin, Ireland, Centre for Biological Sciences, Institute for Life Sciences, University of Southampton, UK, Biomolecular Research, Paul Scherrer Institut, CH-5232 Villigen PSI, Switzerland, Bioinformatik, Institut für Biochemie, Friedrich-Alexander-Universität, Fahrstraße 17, 91054 Erlangen-Nürnberg and Molecular Health GmbH Belfortstr. 2, 69115 Heidelberg, Germany
| | - Brigitte Altenberg
- Structural and Computational Biology, European Molecular Biology Laboratory, Heidelberg, Germany, Laboratory of Bioinformatics and Systems Biology, M. Sklodowska-Curie Cancer Center and Institute of Oncology, WK Roentgena 5, 02-781 Warsaw, Poland, Genoscope (CEA – Institut de Génomique), 2 rue Gaston Cremieux CP5706, 91057 Evry, Group Oncoproteins, Unité CNRS-UDS UMR 7242, Institut de Recherche de l'Ecole de Biotechnologie de Strasbourg, 1, Bd Sébastien Brant, BP 10413, 67412 Illkirch – Cedex, France, Biocomputing Group, Department of Physics, Sapienza University of Rome, P.le Aldo Moro 5, Rome, Italy, School of Biological Sciences, University of Edinburgh, Mayfield Road, Edinburgh EH9 3JR, UK, School of Medicine and Medical Science, University College, Dublin, Ireland, Centre for Biological Sciences, Institute for Life Sciences, University of Southampton, UK, Biomolecular Research, Paul Scherrer Institut, CH-5232 Villigen PSI, Switzerland, Bioinformatik, Institut für Biochemie, Friedrich-Alexander-Universität, Fahrstraße 17, 91054 Erlangen-Nürnberg and Molecular Health GmbH Belfortstr. 2, 69115 Heidelberg, Germany
| | - Grischa Toedt
- Structural and Computational Biology, European Molecular Biology Laboratory, Heidelberg, Germany, Laboratory of Bioinformatics and Systems Biology, M. Sklodowska-Curie Cancer Center and Institute of Oncology, WK Roentgena 5, 02-781 Warsaw, Poland, Genoscope (CEA – Institut de Génomique), 2 rue Gaston Cremieux CP5706, 91057 Evry, Group Oncoproteins, Unité CNRS-UDS UMR 7242, Institut de Recherche de l'Ecole de Biotechnologie de Strasbourg, 1, Bd Sébastien Brant, BP 10413, 67412 Illkirch – Cedex, France, Biocomputing Group, Department of Physics, Sapienza University of Rome, P.le Aldo Moro 5, Rome, Italy, School of Biological Sciences, University of Edinburgh, Mayfield Road, Edinburgh EH9 3JR, UK, School of Medicine and Medical Science, University College, Dublin, Ireland, Centre for Biological Sciences, Institute for Life Sciences, University of Southampton, UK, Biomolecular Research, Paul Scherrer Institut, CH-5232 Villigen PSI, Switzerland, Bioinformatik, Institut für Biochemie, Friedrich-Alexander-Universität, Fahrstraße 17, 91054 Erlangen-Nürnberg and Molecular Health GmbH Belfortstr. 2, 69115 Heidelberg, Germany
| | - Bora Uyar
- Structural and Computational Biology, European Molecular Biology Laboratory, Heidelberg, Germany, Laboratory of Bioinformatics and Systems Biology, M. Sklodowska-Curie Cancer Center and Institute of Oncology, WK Roentgena 5, 02-781 Warsaw, Poland, Genoscope (CEA – Institut de Génomique), 2 rue Gaston Cremieux CP5706, 91057 Evry, Group Oncoproteins, Unité CNRS-UDS UMR 7242, Institut de Recherche de l'Ecole de Biotechnologie de Strasbourg, 1, Bd Sébastien Brant, BP 10413, 67412 Illkirch – Cedex, France, Biocomputing Group, Department of Physics, Sapienza University of Rome, P.le Aldo Moro 5, Rome, Italy, School of Biological Sciences, University of Edinburgh, Mayfield Road, Edinburgh EH9 3JR, UK, School of Medicine and Medical Science, University College, Dublin, Ireland, Centre for Biological Sciences, Institute for Life Sciences, University of Southampton, UK, Biomolecular Research, Paul Scherrer Institut, CH-5232 Villigen PSI, Switzerland, Bioinformatik, Institut für Biochemie, Friedrich-Alexander-Universität, Fahrstraße 17, 91054 Erlangen-Nürnberg and Molecular Health GmbH Belfortstr. 2, 69115 Heidelberg, Germany
| | - Markus Seiler
- Structural and Computational Biology, European Molecular Biology Laboratory, Heidelberg, Germany, Laboratory of Bioinformatics and Systems Biology, M. Sklodowska-Curie Cancer Center and Institute of Oncology, WK Roentgena 5, 02-781 Warsaw, Poland, Genoscope (CEA – Institut de Génomique), 2 rue Gaston Cremieux CP5706, 91057 Evry, Group Oncoproteins, Unité CNRS-UDS UMR 7242, Institut de Recherche de l'Ecole de Biotechnologie de Strasbourg, 1, Bd Sébastien Brant, BP 10413, 67412 Illkirch – Cedex, France, Biocomputing Group, Department of Physics, Sapienza University of Rome, P.le Aldo Moro 5, Rome, Italy, School of Biological Sciences, University of Edinburgh, Mayfield Road, Edinburgh EH9 3JR, UK, School of Medicine and Medical Science, University College, Dublin, Ireland, Centre for Biological Sciences, Institute for Life Sciences, University of Southampton, UK, Biomolecular Research, Paul Scherrer Institut, CH-5232 Villigen PSI, Switzerland, Bioinformatik, Institut für Biochemie, Friedrich-Alexander-Universität, Fahrstraße 17, 91054 Erlangen-Nürnberg and Molecular Health GmbH Belfortstr. 2, 69115 Heidelberg, Germany
| | - Aidan Budd
- Structural and Computational Biology, European Molecular Biology Laboratory, Heidelberg, Germany, Laboratory of Bioinformatics and Systems Biology, M. Sklodowska-Curie Cancer Center and Institute of Oncology, WK Roentgena 5, 02-781 Warsaw, Poland, Genoscope (CEA – Institut de Génomique), 2 rue Gaston Cremieux CP5706, 91057 Evry, Group Oncoproteins, Unité CNRS-UDS UMR 7242, Institut de Recherche de l'Ecole de Biotechnologie de Strasbourg, 1, Bd Sébastien Brant, BP 10413, 67412 Illkirch – Cedex, France, Biocomputing Group, Department of Physics, Sapienza University of Rome, P.le Aldo Moro 5, Rome, Italy, School of Biological Sciences, University of Edinburgh, Mayfield Road, Edinburgh EH9 3JR, UK, School of Medicine and Medical Science, University College, Dublin, Ireland, Centre for Biological Sciences, Institute for Life Sciences, University of Southampton, UK, Biomolecular Research, Paul Scherrer Institut, CH-5232 Villigen PSI, Switzerland, Bioinformatik, Institut für Biochemie, Friedrich-Alexander-Universität, Fahrstraße 17, 91054 Erlangen-Nürnberg and Molecular Health GmbH Belfortstr. 2, 69115 Heidelberg, Germany
| | - Lisa Jödicke
- Structural and Computational Biology, European Molecular Biology Laboratory, Heidelberg, Germany, Laboratory of Bioinformatics and Systems Biology, M. Sklodowska-Curie Cancer Center and Institute of Oncology, WK Roentgena 5, 02-781 Warsaw, Poland, Genoscope (CEA – Institut de Génomique), 2 rue Gaston Cremieux CP5706, 91057 Evry, Group Oncoproteins, Unité CNRS-UDS UMR 7242, Institut de Recherche de l'Ecole de Biotechnologie de Strasbourg, 1, Bd Sébastien Brant, BP 10413, 67412 Illkirch – Cedex, France, Biocomputing Group, Department of Physics, Sapienza University of Rome, P.le Aldo Moro 5, Rome, Italy, School of Biological Sciences, University of Edinburgh, Mayfield Road, Edinburgh EH9 3JR, UK, School of Medicine and Medical Science, University College, Dublin, Ireland, Centre for Biological Sciences, Institute for Life Sciences, University of Southampton, UK, Biomolecular Research, Paul Scherrer Institut, CH-5232 Villigen PSI, Switzerland, Bioinformatik, Institut für Biochemie, Friedrich-Alexander-Universität, Fahrstraße 17, 91054 Erlangen-Nürnberg and Molecular Health GmbH Belfortstr. 2, 69115 Heidelberg, Germany
| | - Marcel A. Dammert
- Structural and Computational Biology, European Molecular Biology Laboratory, Heidelberg, Germany, Laboratory of Bioinformatics and Systems Biology, M. Sklodowska-Curie Cancer Center and Institute of Oncology, WK Roentgena 5, 02-781 Warsaw, Poland, Genoscope (CEA – Institut de Génomique), 2 rue Gaston Cremieux CP5706, 91057 Evry, Group Oncoproteins, Unité CNRS-UDS UMR 7242, Institut de Recherche de l'Ecole de Biotechnologie de Strasbourg, 1, Bd Sébastien Brant, BP 10413, 67412 Illkirch – Cedex, France, Biocomputing Group, Department of Physics, Sapienza University of Rome, P.le Aldo Moro 5, Rome, Italy, School of Biological Sciences, University of Edinburgh, Mayfield Road, Edinburgh EH9 3JR, UK, School of Medicine and Medical Science, University College, Dublin, Ireland, Centre for Biological Sciences, Institute for Life Sciences, University of Southampton, UK, Biomolecular Research, Paul Scherrer Institut, CH-5232 Villigen PSI, Switzerland, Bioinformatik, Institut für Biochemie, Friedrich-Alexander-Universität, Fahrstraße 17, 91054 Erlangen-Nürnberg and Molecular Health GmbH Belfortstr. 2, 69115 Heidelberg, Germany
| | - Christian Schroeter
- Structural and Computational Biology, European Molecular Biology Laboratory, Heidelberg, Germany, Laboratory of Bioinformatics and Systems Biology, M. Sklodowska-Curie Cancer Center and Institute of Oncology, WK Roentgena 5, 02-781 Warsaw, Poland, Genoscope (CEA – Institut de Génomique), 2 rue Gaston Cremieux CP5706, 91057 Evry, Group Oncoproteins, Unité CNRS-UDS UMR 7242, Institut de Recherche de l'Ecole de Biotechnologie de Strasbourg, 1, Bd Sébastien Brant, BP 10413, 67412 Illkirch – Cedex, France, Biocomputing Group, Department of Physics, Sapienza University of Rome, P.le Aldo Moro 5, Rome, Italy, School of Biological Sciences, University of Edinburgh, Mayfield Road, Edinburgh EH9 3JR, UK, School of Medicine and Medical Science, University College, Dublin, Ireland, Centre for Biological Sciences, Institute for Life Sciences, University of Southampton, UK, Biomolecular Research, Paul Scherrer Institut, CH-5232 Villigen PSI, Switzerland, Bioinformatik, Institut für Biochemie, Friedrich-Alexander-Universität, Fahrstraße 17, 91054 Erlangen-Nürnberg and Molecular Health GmbH Belfortstr. 2, 69115 Heidelberg, Germany
| | - Maria Hammer
- Structural and Computational Biology, European Molecular Biology Laboratory, Heidelberg, Germany, Laboratory of Bioinformatics and Systems Biology, M. Sklodowska-Curie Cancer Center and Institute of Oncology, WK Roentgena 5, 02-781 Warsaw, Poland, Genoscope (CEA – Institut de Génomique), 2 rue Gaston Cremieux CP5706, 91057 Evry, Group Oncoproteins, Unité CNRS-UDS UMR 7242, Institut de Recherche de l'Ecole de Biotechnologie de Strasbourg, 1, Bd Sébastien Brant, BP 10413, 67412 Illkirch – Cedex, France, Biocomputing Group, Department of Physics, Sapienza University of Rome, P.le Aldo Moro 5, Rome, Italy, School of Biological Sciences, University of Edinburgh, Mayfield Road, Edinburgh EH9 3JR, UK, School of Medicine and Medical Science, University College, Dublin, Ireland, Centre for Biological Sciences, Institute for Life Sciences, University of Southampton, UK, Biomolecular Research, Paul Scherrer Institut, CH-5232 Villigen PSI, Switzerland, Bioinformatik, Institut für Biochemie, Friedrich-Alexander-Universität, Fahrstraße 17, 91054 Erlangen-Nürnberg and Molecular Health GmbH Belfortstr. 2, 69115 Heidelberg, Germany
| | - Tobias Schmidt
- Structural and Computational Biology, European Molecular Biology Laboratory, Heidelberg, Germany, Laboratory of Bioinformatics and Systems Biology, M. Sklodowska-Curie Cancer Center and Institute of Oncology, WK Roentgena 5, 02-781 Warsaw, Poland, Genoscope (CEA – Institut de Génomique), 2 rue Gaston Cremieux CP5706, 91057 Evry, Group Oncoproteins, Unité CNRS-UDS UMR 7242, Institut de Recherche de l'Ecole de Biotechnologie de Strasbourg, 1, Bd Sébastien Brant, BP 10413, 67412 Illkirch – Cedex, France, Biocomputing Group, Department of Physics, Sapienza University of Rome, P.le Aldo Moro 5, Rome, Italy, School of Biological Sciences, University of Edinburgh, Mayfield Road, Edinburgh EH9 3JR, UK, School of Medicine and Medical Science, University College, Dublin, Ireland, Centre for Biological Sciences, Institute for Life Sciences, University of Southampton, UK, Biomolecular Research, Paul Scherrer Institut, CH-5232 Villigen PSI, Switzerland, Bioinformatik, Institut für Biochemie, Friedrich-Alexander-Universität, Fahrstraße 17, 91054 Erlangen-Nürnberg and Molecular Health GmbH Belfortstr. 2, 69115 Heidelberg, Germany
| | - Peter Jehl
- Structural and Computational Biology, European Molecular Biology Laboratory, Heidelberg, Germany, Laboratory of Bioinformatics and Systems Biology, M. Sklodowska-Curie Cancer Center and Institute of Oncology, WK Roentgena 5, 02-781 Warsaw, Poland, Genoscope (CEA – Institut de Génomique), 2 rue Gaston Cremieux CP5706, 91057 Evry, Group Oncoproteins, Unité CNRS-UDS UMR 7242, Institut de Recherche de l'Ecole de Biotechnologie de Strasbourg, 1, Bd Sébastien Brant, BP 10413, 67412 Illkirch – Cedex, France, Biocomputing Group, Department of Physics, Sapienza University of Rome, P.le Aldo Moro 5, Rome, Italy, School of Biological Sciences, University of Edinburgh, Mayfield Road, Edinburgh EH9 3JR, UK, School of Medicine and Medical Science, University College, Dublin, Ireland, Centre for Biological Sciences, Institute for Life Sciences, University of Southampton, UK, Biomolecular Research, Paul Scherrer Institut, CH-5232 Villigen PSI, Switzerland, Bioinformatik, Institut für Biochemie, Friedrich-Alexander-Universität, Fahrstraße 17, 91054 Erlangen-Nürnberg and Molecular Health GmbH Belfortstr. 2, 69115 Heidelberg, Germany
| | - Caroline McGuigan
- Structural and Computational Biology, European Molecular Biology Laboratory, Heidelberg, Germany, Laboratory of Bioinformatics and Systems Biology, M. Sklodowska-Curie Cancer Center and Institute of Oncology, WK Roentgena 5, 02-781 Warsaw, Poland, Genoscope (CEA – Institut de Génomique), 2 rue Gaston Cremieux CP5706, 91057 Evry, Group Oncoproteins, Unité CNRS-UDS UMR 7242, Institut de Recherche de l'Ecole de Biotechnologie de Strasbourg, 1, Bd Sébastien Brant, BP 10413, 67412 Illkirch – Cedex, France, Biocomputing Group, Department of Physics, Sapienza University of Rome, P.le Aldo Moro 5, Rome, Italy, School of Biological Sciences, University of Edinburgh, Mayfield Road, Edinburgh EH9 3JR, UK, School of Medicine and Medical Science, University College, Dublin, Ireland, Centre for Biological Sciences, Institute for Life Sciences, University of Southampton, UK, Biomolecular Research, Paul Scherrer Institut, CH-5232 Villigen PSI, Switzerland, Bioinformatik, Institut für Biochemie, Friedrich-Alexander-Universität, Fahrstraße 17, 91054 Erlangen-Nürnberg and Molecular Health GmbH Belfortstr. 2, 69115 Heidelberg, Germany
| | - Magdalena Dymecka
- Structural and Computational Biology, European Molecular Biology Laboratory, Heidelberg, Germany, Laboratory of Bioinformatics and Systems Biology, M. Sklodowska-Curie Cancer Center and Institute of Oncology, WK Roentgena 5, 02-781 Warsaw, Poland, Genoscope (CEA – Institut de Génomique), 2 rue Gaston Cremieux CP5706, 91057 Evry, Group Oncoproteins, Unité CNRS-UDS UMR 7242, Institut de Recherche de l'Ecole de Biotechnologie de Strasbourg, 1, Bd Sébastien Brant, BP 10413, 67412 Illkirch – Cedex, France, Biocomputing Group, Department of Physics, Sapienza University of Rome, P.le Aldo Moro 5, Rome, Italy, School of Biological Sciences, University of Edinburgh, Mayfield Road, Edinburgh EH9 3JR, UK, School of Medicine and Medical Science, University College, Dublin, Ireland, Centre for Biological Sciences, Institute for Life Sciences, University of Southampton, UK, Biomolecular Research, Paul Scherrer Institut, CH-5232 Villigen PSI, Switzerland, Bioinformatik, Institut für Biochemie, Friedrich-Alexander-Universität, Fahrstraße 17, 91054 Erlangen-Nürnberg and Molecular Health GmbH Belfortstr. 2, 69115 Heidelberg, Germany
| | - Claudia Chica
- Structural and Computational Biology, European Molecular Biology Laboratory, Heidelberg, Germany, Laboratory of Bioinformatics and Systems Biology, M. Sklodowska-Curie Cancer Center and Institute of Oncology, WK Roentgena 5, 02-781 Warsaw, Poland, Genoscope (CEA – Institut de Génomique), 2 rue Gaston Cremieux CP5706, 91057 Evry, Group Oncoproteins, Unité CNRS-UDS UMR 7242, Institut de Recherche de l'Ecole de Biotechnologie de Strasbourg, 1, Bd Sébastien Brant, BP 10413, 67412 Illkirch – Cedex, France, Biocomputing Group, Department of Physics, Sapienza University of Rome, P.le Aldo Moro 5, Rome, Italy, School of Biological Sciences, University of Edinburgh, Mayfield Road, Edinburgh EH9 3JR, UK, School of Medicine and Medical Science, University College, Dublin, Ireland, Centre for Biological Sciences, Institute for Life Sciences, University of Southampton, UK, Biomolecular Research, Paul Scherrer Institut, CH-5232 Villigen PSI, Switzerland, Bioinformatik, Institut für Biochemie, Friedrich-Alexander-Universität, Fahrstraße 17, 91054 Erlangen-Nürnberg and Molecular Health GmbH Belfortstr. 2, 69115 Heidelberg, Germany
| | - Katja Luck
- Structural and Computational Biology, European Molecular Biology Laboratory, Heidelberg, Germany, Laboratory of Bioinformatics and Systems Biology, M. Sklodowska-Curie Cancer Center and Institute of Oncology, WK Roentgena 5, 02-781 Warsaw, Poland, Genoscope (CEA – Institut de Génomique), 2 rue Gaston Cremieux CP5706, 91057 Evry, Group Oncoproteins, Unité CNRS-UDS UMR 7242, Institut de Recherche de l'Ecole de Biotechnologie de Strasbourg, 1, Bd Sébastien Brant, BP 10413, 67412 Illkirch – Cedex, France, Biocomputing Group, Department of Physics, Sapienza University of Rome, P.le Aldo Moro 5, Rome, Italy, School of Biological Sciences, University of Edinburgh, Mayfield Road, Edinburgh EH9 3JR, UK, School of Medicine and Medical Science, University College, Dublin, Ireland, Centre for Biological Sciences, Institute for Life Sciences, University of Southampton, UK, Biomolecular Research, Paul Scherrer Institut, CH-5232 Villigen PSI, Switzerland, Bioinformatik, Institut für Biochemie, Friedrich-Alexander-Universität, Fahrstraße 17, 91054 Erlangen-Nürnberg and Molecular Health GmbH Belfortstr. 2, 69115 Heidelberg, Germany
| | - Allegra Via
- Structural and Computational Biology, European Molecular Biology Laboratory, Heidelberg, Germany, Laboratory of Bioinformatics and Systems Biology, M. Sklodowska-Curie Cancer Center and Institute of Oncology, WK Roentgena 5, 02-781 Warsaw, Poland, Genoscope (CEA – Institut de Génomique), 2 rue Gaston Cremieux CP5706, 91057 Evry, Group Oncoproteins, Unité CNRS-UDS UMR 7242, Institut de Recherche de l'Ecole de Biotechnologie de Strasbourg, 1, Bd Sébastien Brant, BP 10413, 67412 Illkirch – Cedex, France, Biocomputing Group, Department of Physics, Sapienza University of Rome, P.le Aldo Moro 5, Rome, Italy, School of Biological Sciences, University of Edinburgh, Mayfield Road, Edinburgh EH9 3JR, UK, School of Medicine and Medical Science, University College, Dublin, Ireland, Centre for Biological Sciences, Institute for Life Sciences, University of Southampton, UK, Biomolecular Research, Paul Scherrer Institut, CH-5232 Villigen PSI, Switzerland, Bioinformatik, Institut für Biochemie, Friedrich-Alexander-Universität, Fahrstraße 17, 91054 Erlangen-Nürnberg and Molecular Health GmbH Belfortstr. 2, 69115 Heidelberg, Germany
| | - Andrew Chatr-aryamontri
- Structural and Computational Biology, European Molecular Biology Laboratory, Heidelberg, Germany, Laboratory of Bioinformatics and Systems Biology, M. Sklodowska-Curie Cancer Center and Institute of Oncology, WK Roentgena 5, 02-781 Warsaw, Poland, Genoscope (CEA – Institut de Génomique), 2 rue Gaston Cremieux CP5706, 91057 Evry, Group Oncoproteins, Unité CNRS-UDS UMR 7242, Institut de Recherche de l'Ecole de Biotechnologie de Strasbourg, 1, Bd Sébastien Brant, BP 10413, 67412 Illkirch – Cedex, France, Biocomputing Group, Department of Physics, Sapienza University of Rome, P.le Aldo Moro 5, Rome, Italy, School of Biological Sciences, University of Edinburgh, Mayfield Road, Edinburgh EH9 3JR, UK, School of Medicine and Medical Science, University College, Dublin, Ireland, Centre for Biological Sciences, Institute for Life Sciences, University of Southampton, UK, Biomolecular Research, Paul Scherrer Institut, CH-5232 Villigen PSI, Switzerland, Bioinformatik, Institut für Biochemie, Friedrich-Alexander-Universität, Fahrstraße 17, 91054 Erlangen-Nürnberg and Molecular Health GmbH Belfortstr. 2, 69115 Heidelberg, Germany
| | - Niall Haslam
- Structural and Computational Biology, European Molecular Biology Laboratory, Heidelberg, Germany, Laboratory of Bioinformatics and Systems Biology, M. Sklodowska-Curie Cancer Center and Institute of Oncology, WK Roentgena 5, 02-781 Warsaw, Poland, Genoscope (CEA – Institut de Génomique), 2 rue Gaston Cremieux CP5706, 91057 Evry, Group Oncoproteins, Unité CNRS-UDS UMR 7242, Institut de Recherche de l'Ecole de Biotechnologie de Strasbourg, 1, Bd Sébastien Brant, BP 10413, 67412 Illkirch – Cedex, France, Biocomputing Group, Department of Physics, Sapienza University of Rome, P.le Aldo Moro 5, Rome, Italy, School of Biological Sciences, University of Edinburgh, Mayfield Road, Edinburgh EH9 3JR, UK, School of Medicine and Medical Science, University College, Dublin, Ireland, Centre for Biological Sciences, Institute for Life Sciences, University of Southampton, UK, Biomolecular Research, Paul Scherrer Institut, CH-5232 Villigen PSI, Switzerland, Bioinformatik, Institut für Biochemie, Friedrich-Alexander-Universität, Fahrstraße 17, 91054 Erlangen-Nürnberg and Molecular Health GmbH Belfortstr. 2, 69115 Heidelberg, Germany
| | - Gleb Grebnev
- Structural and Computational Biology, European Molecular Biology Laboratory, Heidelberg, Germany, Laboratory of Bioinformatics and Systems Biology, M. Sklodowska-Curie Cancer Center and Institute of Oncology, WK Roentgena 5, 02-781 Warsaw, Poland, Genoscope (CEA – Institut de Génomique), 2 rue Gaston Cremieux CP5706, 91057 Evry, Group Oncoproteins, Unité CNRS-UDS UMR 7242, Institut de Recherche de l'Ecole de Biotechnologie de Strasbourg, 1, Bd Sébastien Brant, BP 10413, 67412 Illkirch – Cedex, France, Biocomputing Group, Department of Physics, Sapienza University of Rome, P.le Aldo Moro 5, Rome, Italy, School of Biological Sciences, University of Edinburgh, Mayfield Road, Edinburgh EH9 3JR, UK, School of Medicine and Medical Science, University College, Dublin, Ireland, Centre for Biological Sciences, Institute for Life Sciences, University of Southampton, UK, Biomolecular Research, Paul Scherrer Institut, CH-5232 Villigen PSI, Switzerland, Bioinformatik, Institut für Biochemie, Friedrich-Alexander-Universität, Fahrstraße 17, 91054 Erlangen-Nürnberg and Molecular Health GmbH Belfortstr. 2, 69115 Heidelberg, Germany
| | - Richard J. Edwards
- Structural and Computational Biology, European Molecular Biology Laboratory, Heidelberg, Germany, Laboratory of Bioinformatics and Systems Biology, M. Sklodowska-Curie Cancer Center and Institute of Oncology, WK Roentgena 5, 02-781 Warsaw, Poland, Genoscope (CEA – Institut de Génomique), 2 rue Gaston Cremieux CP5706, 91057 Evry, Group Oncoproteins, Unité CNRS-UDS UMR 7242, Institut de Recherche de l'Ecole de Biotechnologie de Strasbourg, 1, Bd Sébastien Brant, BP 10413, 67412 Illkirch – Cedex, France, Biocomputing Group, Department of Physics, Sapienza University of Rome, P.le Aldo Moro 5, Rome, Italy, School of Biological Sciences, University of Edinburgh, Mayfield Road, Edinburgh EH9 3JR, UK, School of Medicine and Medical Science, University College, Dublin, Ireland, Centre for Biological Sciences, Institute for Life Sciences, University of Southampton, UK, Biomolecular Research, Paul Scherrer Institut, CH-5232 Villigen PSI, Switzerland, Bioinformatik, Institut für Biochemie, Friedrich-Alexander-Universität, Fahrstraße 17, 91054 Erlangen-Nürnberg and Molecular Health GmbH Belfortstr. 2, 69115 Heidelberg, Germany
| | - Michel O. Steinmetz
- Structural and Computational Biology, European Molecular Biology Laboratory, Heidelberg, Germany, Laboratory of Bioinformatics and Systems Biology, M. Sklodowska-Curie Cancer Center and Institute of Oncology, WK Roentgena 5, 02-781 Warsaw, Poland, Genoscope (CEA – Institut de Génomique), 2 rue Gaston Cremieux CP5706, 91057 Evry, Group Oncoproteins, Unité CNRS-UDS UMR 7242, Institut de Recherche de l'Ecole de Biotechnologie de Strasbourg, 1, Bd Sébastien Brant, BP 10413, 67412 Illkirch – Cedex, France, Biocomputing Group, Department of Physics, Sapienza University of Rome, P.le Aldo Moro 5, Rome, Italy, School of Biological Sciences, University of Edinburgh, Mayfield Road, Edinburgh EH9 3JR, UK, School of Medicine and Medical Science, University College, Dublin, Ireland, Centre for Biological Sciences, Institute for Life Sciences, University of Southampton, UK, Biomolecular Research, Paul Scherrer Institut, CH-5232 Villigen PSI, Switzerland, Bioinformatik, Institut für Biochemie, Friedrich-Alexander-Universität, Fahrstraße 17, 91054 Erlangen-Nürnberg and Molecular Health GmbH Belfortstr. 2, 69115 Heidelberg, Germany
| | - Heike Meiselbach
- Structural and Computational Biology, European Molecular Biology Laboratory, Heidelberg, Germany, Laboratory of Bioinformatics and Systems Biology, M. Sklodowska-Curie Cancer Center and Institute of Oncology, WK Roentgena 5, 02-781 Warsaw, Poland, Genoscope (CEA – Institut de Génomique), 2 rue Gaston Cremieux CP5706, 91057 Evry, Group Oncoproteins, Unité CNRS-UDS UMR 7242, Institut de Recherche de l'Ecole de Biotechnologie de Strasbourg, 1, Bd Sébastien Brant, BP 10413, 67412 Illkirch – Cedex, France, Biocomputing Group, Department of Physics, Sapienza University of Rome, P.le Aldo Moro 5, Rome, Italy, School of Biological Sciences, University of Edinburgh, Mayfield Road, Edinburgh EH9 3JR, UK, School of Medicine and Medical Science, University College, Dublin, Ireland, Centre for Biological Sciences, Institute for Life Sciences, University of Southampton, UK, Biomolecular Research, Paul Scherrer Institut, CH-5232 Villigen PSI, Switzerland, Bioinformatik, Institut für Biochemie, Friedrich-Alexander-Universität, Fahrstraße 17, 91054 Erlangen-Nürnberg and Molecular Health GmbH Belfortstr. 2, 69115 Heidelberg, Germany
| | - Francesca Diella
- Structural and Computational Biology, European Molecular Biology Laboratory, Heidelberg, Germany, Laboratory of Bioinformatics and Systems Biology, M. Sklodowska-Curie Cancer Center and Institute of Oncology, WK Roentgena 5, 02-781 Warsaw, Poland, Genoscope (CEA – Institut de Génomique), 2 rue Gaston Cremieux CP5706, 91057 Evry, Group Oncoproteins, Unité CNRS-UDS UMR 7242, Institut de Recherche de l'Ecole de Biotechnologie de Strasbourg, 1, Bd Sébastien Brant, BP 10413, 67412 Illkirch – Cedex, France, Biocomputing Group, Department of Physics, Sapienza University of Rome, P.le Aldo Moro 5, Rome, Italy, School of Biological Sciences, University of Edinburgh, Mayfield Road, Edinburgh EH9 3JR, UK, School of Medicine and Medical Science, University College, Dublin, Ireland, Centre for Biological Sciences, Institute for Life Sciences, University of Southampton, UK, Biomolecular Research, Paul Scherrer Institut, CH-5232 Villigen PSI, Switzerland, Bioinformatik, Institut für Biochemie, Friedrich-Alexander-Universität, Fahrstraße 17, 91054 Erlangen-Nürnberg and Molecular Health GmbH Belfortstr. 2, 69115 Heidelberg, Germany
| | - Toby J. Gibson
- Structural and Computational Biology, European Molecular Biology Laboratory, Heidelberg, Germany, Laboratory of Bioinformatics and Systems Biology, M. Sklodowska-Curie Cancer Center and Institute of Oncology, WK Roentgena 5, 02-781 Warsaw, Poland, Genoscope (CEA – Institut de Génomique), 2 rue Gaston Cremieux CP5706, 91057 Evry, Group Oncoproteins, Unité CNRS-UDS UMR 7242, Institut de Recherche de l'Ecole de Biotechnologie de Strasbourg, 1, Bd Sébastien Brant, BP 10413, 67412 Illkirch – Cedex, France, Biocomputing Group, Department of Physics, Sapienza University of Rome, P.le Aldo Moro 5, Rome, Italy, School of Biological Sciences, University of Edinburgh, Mayfield Road, Edinburgh EH9 3JR, UK, School of Medicine and Medical Science, University College, Dublin, Ireland, Centre for Biological Sciences, Institute for Life Sciences, University of Southampton, UK, Biomolecular Research, Paul Scherrer Institut, CH-5232 Villigen PSI, Switzerland, Bioinformatik, Institut für Biochemie, Friedrich-Alexander-Universität, Fahrstraße 17, 91054 Erlangen-Nürnberg and Molecular Health GmbH Belfortstr. 2, 69115 Heidelberg, Germany
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Schneider MV, Walter P, Blatter MC, Watson J, Brazas MD, Rother K, Budd A, Via A, van Gelder CWG, Jacob J, Fernandes P, Nyrönen TH, De Las Rivas J, Blicher T, Jimenez RC, Loveland J, McDowall J, Jones P, Vaughan BW, Lopez R, Attwood TK, Brooksbank C. Bioinformatics Training Network (BTN): a community resource for bioinformatics trainers. Brief Bioinform 2011; 13:383-9. [PMID: 22110242 PMCID: PMC3357490 DOI: 10.1093/bib/bbr064] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.7] [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] [Indexed: 11/19/2022] Open
Abstract
Funding bodies are increasingly recognizing the need to provide graduates and researchers with access to short intensive courses in a variety of disciplines, in order both to improve the general skills base and to provide solid foundations on which researchers may build their careers. In response to the development of ‘high-throughput biology’, the need for training in the field of bioinformatics, in particular, is seeing a resurgence: it has been defined as a key priority by many Institutions and research programmes and is now an important component of many grant proposals. Nevertheless, when it comes to planning and preparing to meet such training needs, tension arises between the reward structures that predominate in the scientific community which compel individuals to publish or perish, and the time that must be devoted to the design, delivery and maintenance of high-quality training materials. Conversely, there is much relevant teaching material and training expertise available worldwide that, were it properly organized, could be exploited by anyone who needs to provide training or needs to set up a new course. To do this, however, the materials would have to be centralized in a database and clearly tagged in relation to target audiences, learning objectives, etc. Ideally, they would also be peer reviewed, and easily and efficiently accessible for downloading. Here, we present the Bioinformatics Training Network (BTN), a new enterprise that has been initiated to address these needs and review it, respectively, to similar initiatives and collections.
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Affiliation(s)
- Maria V Schneider
- EMBL Outstation, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK.
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16
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Davey NE, Van Roey K, Weatheritt RJ, Toedt G, Uyar B, Altenberg B, Budd A, Diella F, Dinkel H, Gibson TJ. Attributes of short linear motifs. Mol Biosyst 2011; 8:268-81. [PMID: 21909575 DOI: 10.1039/c1mb05231d] [Citation(s) in RCA: 405] [Impact Index Per Article: 31.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Traditionally, protein-protein interactions were thought to be mediated by large, structured domains. However, it has become clear that the interactome comprises a wide range of binding interfaces with varying degrees of flexibility, ranging from rigid globular domains to disordered regions that natively lack structure. Enrichment for disorder in highly connected hub proteins and its correlation with organism complexity hint at the functional importance of disordered regions. Nevertheless, they have not yet been extensively characterised. Shifting the attention from globular domains to disordered regions of the proteome might bring us closer to elucidating the dense and complex connectivity of the interactome. An important class of disordered interfaces are the compact mono-partite, short linear motifs (SLiMs, or eukaryotic linear motifs (ELMs)). They are evolutionarily plastic and interact with relatively low affinity due to the limited number of residues that make direct contact with the binding partner. These features confer to SLiMs the ability to evolve convergently and mediate transient interactions, which is imperative to network evolution and to maintain robust cell signalling, respectively. The ability to discriminate biologically relevant SLiMs by means of different attributes will improve our understanding of the complexity of the interactome and aid development of bioinformatics tools for motif discovery. In this paper, the curated instances currently available in the Eukaryotic Linear Motif (ELM) database are analysed to provide a clear overview of the defining attributes of SLiMs. These analyses suggest that functional SLiMs have higher levels of conservation than their surrounding residues, frequently evolve convergently, preferentially occur in disordered regions and often form a secondary structure when bound to their interaction partner. These results advocate searching for small groupings of residues in disordered regions with higher relative conservation and a propensity to form the secondary structure. Finally, the most interesting conclusions are examined in regard to their functional consequences.
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Affiliation(s)
- Norman E Davey
- Structural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany.
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17
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An C, Budd A, Kanost MR, Michel K. Characterization of a regulatory unit that controls melanization and affects longevity of mosquitoes. Cell Mol Life Sci 2011; 68:1929-39. [PMID: 20953892 PMCID: PMC3070200 DOI: 10.1007/s00018-010-0543-z] [Citation(s) in RCA: 93] [Impact Index Per Article: 7.2] [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: 08/13/2010] [Revised: 09/21/2010] [Accepted: 09/27/2010] [Indexed: 10/18/2022]
Abstract
Melanization is an innate immune response in arthropods that encapsulates and kills invading pathogens. One of its rate-limiting steps is the activation of prophenoloxidase (PPO), which is controlled by an extracellular proteinase cascade and serpin inhibitors. The molecular composition of this system is largely unknown in mosquitoes with the exception of serpin-2 (SRPN2), which was previously identified as a key negative regulator of melanization. Using reverse genetic and biochemical techniques, we identified the Anopheles gambiae clip-serine proteinase CLIPB9 as a PPO-activating proteinase, which is inhibited by SRPN2. Double knockdown of SRPN2 and CLIPB9 reversed the pleiotrophic phenotype induced by SRPN2 silencing. This study identifies the first inhibitory serpin-serine proteinase pair in mosquitoes and defines a regulatory unit of melanization. Additionally, the interaction of CLIPB9 and SRPN2 affects the life span of adult female mosquitoes and therefore constitutes a well-defined potential molecular target for novel late-life acting insecticides.
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Affiliation(s)
- Chunju An
- Kansas State University, Division of Biology, 267 Chalmers Hall, Manhattan, KS 66506, USA
| | - Aidan Budd
- European Molecular Biology Laboratory, Meyerhofstrasse 1, 69117 Heidelberg, Germany
| | - Michael R. Kanost
- Kansas State University, Department of Biochemistry, 141 Chalmers Hall, Manhattan, KS 66506, USA
| | - Kristin Michel
- Kansas State University, Division of Biology, 267 Chalmers Hall, Manhattan, KS 66506, USA
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Lefèvre S, Dumay-Odelot H, El-Ayoubi L, Budd A, Legrand P, Pinaud N, Teichmann M, Fribourg S. Erratum: Structure-function analysis of hRPC62 provides insights into RNA polymerase III transcription initiation. Nat Struct Mol Biol 2011. [DOI: 10.1038/nsmb0411-516d] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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19
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Lefèvre S, Dumay-Odelot H, El-Ayoubi L, Budd A, Legrand P, Pinaud N, Teichmann M, Fribourg S. Structure-function analysis of hRPC62 provides insights into RNA polymerase III transcription initiation. Nat Struct Mol Biol 2011; 18:352-8. [PMID: 21358628 DOI: 10.1038/nsmb.1996] [Citation(s) in RCA: 42] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2010] [Accepted: 12/02/2010] [Indexed: 02/07/2023]
Abstract
The 17-subunit human RNA polymerase III (hPol III) transcribes small, untranslated RNA genes that are involved in the regulation of transcription, splicing and translation. hPol III subunits hRPC62, hRPC39 and hRPC32 form a stable ternary subcomplex required for promoter-specific transcription initiation by hPol III. Here, we report the crystal structure of hRPC62. This subunit folds as a four-tandem extended winged helix (eWH) protein that is structurally related to the transcription factor TFIIEα N terminus. Through biochemical analyses, we mapped the protein-protein interactions of hRPC62, hRPC32 and hRPC39. In addition, we demonstrated that hRPC62 and hRPC39 bind single-stranded and duplex DNA, respectively, in a sequence-independent manner. Overall, we shed light on structural similarities between the hPol III-specific subunit hRPC62 and TFIIEα and propose specific functions for hRPC39 and hRPC62 in transcription initiation by hPol III.
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20
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Ommeh S, Budd A, Ngara MV, Njaci I, de Villiers EP. Basic Molecular Evolution Workshop - A trans-African virtual training course. Bioessays 2011; 33:243-7. [DOI: 10.1002/bies.201000139] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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21
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Gonzalez-Nunez V, Nocco V, Budd A. Characterization of drCol 15a1b: a novel component of the stem cell niche in the zebrafish retina. Stem Cells 2011; 28:1399-411. [PMID: 20549708 DOI: 10.1002/stem.461] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
There is a clear need to develop novel tools to help improve our understanding of stem cell biology, and potentially also the utility of stem cells in regenerative medicine. We report the cloning, functional, and bioinformatic characterization of a novel stem cell marker in the zebrafish retina, drCol 15a1b. The expression pattern of drCol 15a1b is restricted to stem cell niches located in the central nervous system, whereas other collagen XVs are associated with muscle and endothelial tissues. Knocking down drCol 15a1b expression causes smaller eyes, ear defects, and brain edema. Microscopic analysis reveals enhanced proliferation in the morphant eye, with many mitotic nuclei located in the central retina, together with a delayed differentiation of the mature retinal cell types. Besides, several markers known to be expressed in the ciliary marginal zone display broader expression areas in morpholino-injected embryos, suggesting an anomalous diffusion of signaling effectors from the sonic hedgehog and notch pathways. These results indicate that drCol 15a1b is a novel stem cell marker in the central nervous system that has a key role in homing stem cells into specialized niches in the adult organism. Moreover, mutations in the hCol 18a1 gene are responsible for the Knobloch syndrome, which affects brain and retinal structures, suggesting that drCol 15a1b may function similarly to mammalian Col 18a1. Thus, our results shed new light on the signaling pathways that underlie the maintenance of stem cells in the adult organism while helping us to understand the role of extracellular matrix proteins in modulating the signals that determine stem cell differentiation, cell cycle exit and apoptosis.
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Affiliation(s)
- Veronica Gonzalez-Nunez
- Developmental Biology Unit, European Molecular Biology Laboratory (EMBL), Heidelberg, Germany.
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22
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Croset V, Rytz R, Cummins SF, Budd A, Brawand D, Kaessmann H, Gibson TJ, Benton R. Ancient protostome origin of chemosensory ionotropic glutamate receptors and the evolution of insect taste and olfaction. PLoS Genet 2010; 6:e1001064. [PMID: 20808886 PMCID: PMC2924276 DOI: 10.1371/journal.pgen.1001064] [Citation(s) in RCA: 495] [Impact Index Per Article: 35.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2010] [Accepted: 07/12/2010] [Indexed: 12/12/2022] Open
Abstract
Ionotropic glutamate receptors (iGluRs) are a highly conserved family of ligand-gated ion channels present in animals, plants, and bacteria, which are best characterized for their roles in synaptic communication in vertebrate nervous systems. A variant subfamily of iGluRs, the Ionotropic Receptors (IRs), was recently identified as a new class of olfactory receptors in the fruit fly, Drosophila melanogaster, hinting at a broader function of this ion channel family in detection of environmental, as well as intercellular, chemical signals. Here, we investigate the origin and evolution of IRs by comprehensive evolutionary genomics and in situ expression analysis. In marked contrast to the insect-specific Odorant Receptor family, we show that IRs are expressed in olfactory organs across Protostomia—a major branch of the animal kingdom that encompasses arthropods, nematodes, and molluscs—indicating that they represent an ancestral protostome chemosensory receptor family. Two subfamilies of IRs are distinguished: conserved “antennal IRs,” which likely define the first olfactory receptor family of insects, and species-specific “divergent IRs,” which are expressed in peripheral and internal gustatory neurons, implicating this family in taste and food assessment. Comparative analysis of drosophilid IRs reveals the selective forces that have shaped the repertoires in flies with distinct chemosensory preferences. Examination of IR gene structure and genomic distribution suggests both non-allelic homologous recombination and retroposition contributed to the expansion of this multigene family. Together, these findings lay a foundation for functional analysis of these receptors in both neurobiological and evolutionary studies. Furthermore, this work identifies novel targets for manipulating chemosensory-driven behaviours of agricultural pests and disease vectors. Ionotropic glutamate receptors (iGluRs) are a family of cell surface proteins best known for their role in allowing neurons to communicate with each other in the brain. We recently discovered a variant class of iGluRs in the fruit fly (Drosophila melanogaster), named Ionotropic Receptors (IRs), which function as olfactory receptors in its “nose,” prompting us to ask whether iGluR/IRs might have a more general function in detection of environmental chemicals. Here, we have identified families of IRs in olfactory and taste sensory organs throughout protostomes, one of the principal branches of animal life that includes snails, worms, crustaceans, and insects. Our findings suggest that this receptor family has an evolutionary ancient function in detecting odors and tastants in the external world. By comparing the repertoires of these chemosensory IRs among both closely- and distantly-related species, we have observed dynamic patterns of expansion and divergence of these receptor families in organisms occupying very different ecological niches. Notably, many of the receptors we have identified are in insects that are of significant harm to human health, such as the malaria mosquito. These proteins represent attractive targets for novel types of insect repellents to control the host-seeking behaviors of such pest species.
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Affiliation(s)
- Vincent Croset
- Center for Integrative Genomics, University of Lausanne, Lausanne, Switzerland
| | - Raphael Rytz
- Center for Integrative Genomics, University of Lausanne, Lausanne, Switzerland
| | - Scott F. Cummins
- School of Biological Sciences, The University of Queensland, St. Lucia, Queensland, Australia
| | - Aidan Budd
- Structural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany
| | - David Brawand
- Center for Integrative Genomics, University of Lausanne, Lausanne, Switzerland
| | - Henrik Kaessmann
- Center for Integrative Genomics, University of Lausanne, Lausanne, Switzerland
| | - Toby J. Gibson
- Structural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany
| | - Richard Benton
- Center for Integrative Genomics, University of Lausanne, Lausanne, Switzerland
- * E-mail:
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23
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Schneider MV, Watson J, Attwood T, Rother K, Budd A, McDowall J, Via A, Fernandes P, Nyronen T, Blicher T, Jones P, Blatter MC, De Las Rivas J, Judge DP, van der Gool W, Brooksbank C. Bioinformatics training: a review of challenges, actions and support requirements. Brief Bioinform 2010; 11:544-51. [PMID: 20562256 DOI: 10.1093/bib/bbq021] [Citation(s) in RCA: 46] [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: 11/13/2022] Open
Abstract
As bioinformatics becomes increasingly central to research in the molecular life sciences, the need to train non-bioinformaticians to make the most of bioinformatics resources is growing. Here, we review the key challenges and pitfalls to providing effective training for users of bioinformatics services, and discuss successful training strategies shared by a diverse set of bioinformatics trainers. We also identify steps that trainers in bioinformatics could take together to advance the state of the art in current training practices. The ideas presented in this article derive from the first Trainer Networking Session held under the auspices of the EU-funded SLING Integrating Activity, which took place in November 2009.
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Affiliation(s)
- Maria Victoria Schneider
- EMBL Outstation, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD, UK.
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24
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Santarella-Mellwig R, Franke J, Jaedicke A, Gorjanacz M, Bauer U, Budd A, Mattaj IW, Devos DP. The compartmentalized bacteria of the planctomycetes-verrucomicrobia-chlamydiae superphylum have membrane coat-like proteins. PLoS Biol 2010; 8:e1000281. [PMID: 20087413 PMCID: PMC2799638 DOI: 10.1371/journal.pbio.1000281] [Citation(s) in RCA: 108] [Impact Index Per Article: 7.7] [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: 05/28/2009] [Accepted: 12/08/2009] [Indexed: 02/06/2023] Open
Abstract
Compartmentalized bacteria have proteins that are structurally related to eukaryotic membrane coats, and one of these proteins localizes at the membrane of vesicles formed inside bacterial cells. The development of the endomembrane system was a major step in eukaryotic evolution. Membrane coats, which exhibit a unique arrangement of β-propeller and α-helical repeat domains, play key roles in shaping eukaryotic membranes. Such proteins are likely to have been present in the ancestral eukaryote but cannot be detected in prokaryotes using sequence-only searches. We have used a structure-based detection protocol to search all proteomes for proteins with this domain architecture. Apart from the eukaryotes, we identified this protein architecture only in the Planctomycetes-Verrucomicrobia-Chlamydiae (PVC) bacterial superphylum, many members of which share a compartmentalized cell plan. We determined that one such protein is partly localized at the membranes of vesicles formed inside the cells in the planctomycete Gemmata obscuriglobus. Our results demonstrate similarities between bacterial and eukaryotic compartmentalization machinery, suggesting that the bacterial PVC superphylum contributed significantly to eukaryogenesis. Despite decades of research, the origin of eukaryotic cells remains an unsolved issue. The endomembrane system defines the eukaryotic cell, and its origin is linked to that of eukaryotes. A search was conducted within all known sequences for proteins that are characteristic of the eukaryotic endomembrane system, using a combination of fold types that is uniquely found in the membrane coat proteins. Outside eukaryotes, such proteins were solely found in the Planctomycetes-Verrucomicrobia-Chlamydiae (PVC) bacterial superphylum. By immuno-electron microscopy, one of these bacterial proteins was found to localize adjacent to the membranes of vesicles found within the cells of one member of the PVC superphylum. Thus, there appear to be similarities between bacterial and eukaryotic compartmentalization systems, suggesting that the bacterial PVC superphylum may have contributed significantly to eukaryogenesis.
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Affiliation(s)
| | - Josef Franke
- Laboratory of Cellular and Structural Biology, The Rockefeller University, New York, New York, United States of America
| | | | | | - Ulrike Bauer
- European Molecular Biology Laboratory, Heidelberg, Germany
| | - Aidan Budd
- European Molecular Biology Laboratory, Heidelberg, Germany
| | - Iain W. Mattaj
- European Molecular Biology Laboratory, Heidelberg, Germany
| | - Damien P. Devos
- European Molecular Biology Laboratory, Heidelberg, Germany
- * E-mail:
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25
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Gould CM, Diella F, Via A, Puntervoll P, Gemünd C, Chabanis-Davidson S, Michael S, Sayadi A, Bryne JC, Chica C, Seiler M, Davey NE, Haslam N, Weatheritt RJ, Budd A, Hughes T, Pas J, Rychlewski L, Travé G, Aasland R, Helmer-Citterich M, Linding R, Gibson TJ. ELM: the status of the 2010 eukaryotic linear motif resource. Nucleic Acids Res 2009; 38:D167-80. [PMID: 19920119 PMCID: PMC2808914 DOI: 10.1093/nar/gkp1016] [Citation(s) in RCA: 204] [Impact Index Per Article: 13.6] [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] [Indexed: 01/06/2023] Open
Abstract
Linear motifs are short segments of multidomain proteins that provide regulatory functions independently of protein tertiary structure. Much of intracellular signalling passes through protein modifications at linear motifs. Many thousands of linear motif instances, most notably phosphorylation sites, have now been reported. Although clearly very abundant, linear motifs are difficult to predict de novo in protein sequences due to the difficulty of obtaining robust statistical assessments. The ELM resource at http://elm.eu.org/ provides an expanding knowledge base, currently covering 146 known motifs, with annotation that includes >1300 experimentally reported instances. ELM is also an exploratory tool for suggesting new candidates of known linear motifs in proteins of interest. Information about protein domains, protein structure and native disorder, cellular and taxonomic contexts is used to reduce or deprecate false positive matches. Results are graphically displayed in a 'Bar Code' format, which also displays known instances from homologous proteins through a novel 'Instance Mapper' protocol based on PHI-BLAST. ELM server output provides links to the ELM annotation as well as to a number of remote resources. Using the links, researchers can explore the motifs, proteins, complex structures and associated literature to evaluate whether candidate motifs might be worth experimental investigation.
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Affiliation(s)
- Cathryn M Gould
- Structural and Computational Biology Unit, European Molecular Biology Laboratory, Meyerhofstrasse 1, 69117 Heidelberg, Germany
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26
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Batisse J, Batisse C, Budd A, Böttcher B, Hurt E. Purification of nuclear poly(A)-binding protein Nab2 reveals association with the yeast transcriptome and a messenger ribonucleoprotein core structure. J Biol Chem 2009; 284:34911-7. [PMID: 19840948 DOI: 10.1074/jbc.m109.062034] [Citation(s) in RCA: 84] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023] Open
Abstract
Nascent mRNAs produced by transcription in the nucleus are subsequently processed and packaged into mRNA ribonucleoprotein particles (messenger ribonucleoproteins (mRNPs)) before export to the cytoplasm. Here, we have used the poly(A)-binding protein Nab2 to isolate mRNPs from yeast under conditions that preserve mRNA integrity. Upon Nab2-tandem affinity purification, several mRNA export factors were co-enriched (Yra1, Mex67, THO-TREX) that were present in mRNPs of different size and mRNA length. High-throughput sequencing of the co-precipitated RNAs indicated that Nab2 is associated with the bulk of yeast transcripts with no specificity for different mRNA classes. Electron microscopy revealed that many of the mRNPs have a characteristic elongated structure. Our data suggest that mRNPs, although associated with different mRNAs, have a unifying core structure.
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Affiliation(s)
- Julien Batisse
- Biochemie Zentrum der Universität Heidelberg (BZH), Im Neuenheimer Feld 307, D-69120 Heidelberg, Germany
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Ettwiller L, Budd A, Spitz F, Wittbrodt J. Analysis of mammalian gene batteries reveals both stable ancestral cores and highly dynamic regulatory sequences. Genome Biol 2008; 9:R172. [PMID: 19087242 PMCID: PMC2646276 DOI: 10.1186/gb-2008-9-12-r172] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.3] [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: 09/28/2008] [Revised: 12/01/2008] [Accepted: 12/16/2008] [Indexed: 12/18/2022] Open
Abstract
Analysis of the evolutionary dynamics of target gene batteries controlled by 16 different transcription factors reveals stable ancestral cores and highly dynamic regulatory sequences Background Changes in gene regulation are suspected to comprise one of the driving forces for evolution. To address the extent of cis-regulatory changes and how they impact on gene regulatory networks across eukaryotes, we systematically analyzed the evolutionary dynamics of target gene batteries controlled by 16 different transcription factors. Results We found that gene batteries show variable conservation within vertebrates, with slow and fast evolving modules. Hence, while a key gene battery associated with the cell cycle is conserved throughout metazoans, the POU5F1 (Oct4) and SOX2 batteries in embryonic stem cells show strong conservation within mammals, with the striking exception of rodents. Within the genes composing a given gene battery, we could identify a conserved core that likely reflects the ancestral function of the corresponding transcription factor. Interestingly, we show that the association between a transcription factor and its target genes is conserved even when we exclude conserved sequence similarities of their promoter regions from our analysis. This supports the idea that turnover, either of the transcription factor binding site or its direct neighboring sequence, is a pervasive feature of proximal regulatory sequences. Conclusions Our study reveals the dynamics of evolutionary changes within metazoan gene networks, including both the composition of gene batteries and the architecture of target gene promoters. This variation provides the playground required for evolutionary innovation around conserved ancestral core functions.
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Affiliation(s)
- Laurence Ettwiller
- Developmental Biology Unit, EMBL-Heidelberg, Meyerhofstrasse 1, Heidelberg, 69117, Germany.
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28
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Deddouche S, Matt N, Budd A, Mueller S, Kemp C, Galiana-Arnoux D, Dostert C, Antoniewski C, Hoffmann JA, Imler JL. The DExD/H-box helicase Dicer-2 mediates the induction of antiviral activity in drosophila. Nat Immunol 2008; 9:1425-32. [PMID: 18953338 DOI: 10.1038/ni.1664] [Citation(s) in RCA: 264] [Impact Index Per Article: 16.5] [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: 05/27/2008] [Accepted: 09/09/2008] [Indexed: 11/08/2022]
Abstract
Drosophila, like other invertebrates and plants, relies mainly on RNA interference for its defense against viruses. In flies, viral infection also triggers the expression of many genes. One of the genes induced, Vago, encodes a 18-kilodalton cysteine-rich polypeptide. Here we provide genetic evidence that the Vago gene product controlled viral load in the fat body after infection with drosophila C virus. Induction of Vago was dependent on the helicase Dicer-2. Dicer-2 belongs to the same DExD/H-box helicase family as do the RIG-I-like receptors, which sense viral infection and mediate interferon induction in mammals. We propose that this family represents an evolutionary conserved set of sensors that detect viral nucleic acids and direct antiviral responses.
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Affiliation(s)
- Safia Deddouche
- Unité Propre de Recherché 9022, Centre National de la Recherche Scientifique, Institut de Biologie Moléculaire et Cellulaire, 67084 Strasbourg, France
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29
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Diella F, Haslam N, Chica C, Budd A, Michael S, Brown NP, Trave G, Gibson TJ. Understanding eukaryotic linear motifs and their role in cell signaling and regulation. FRONT BIOSCI-LANDMRK 2008; 13:6580-603. [PMID: 18508681 DOI: 10.2741/3175] [Citation(s) in RCA: 244] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
It is now clear that a detailed picture of cell regulation requires a comprehensive understanding of the abundant short protein motifs through which signaling is channeled. The current body of knowledge has slowly accumulated through piecemeal experimental investigation of individual motifs in signaling. Computational methods contributed little to this process. A new generation of bioinformatics tools will aid the future investigation of motifs in regulatory proteins, and the disordered polypeptide regions in which they frequently reside. Allied to high throughput methods such as phosphoproteomics, signaling networks are becoming amenable to experimental deconstruction. In this review, we summarise the current state of linear motif biology, which uses low affinity interactions to create cooperative, combinatorial and highly dynamic regulatory protein complexes. The discrete deterministic properties implicit to these assemblies suggest that models for cell regulatory networks in systems biology should neither be overly dependent on stochastic nor on smooth deterministic approximations.
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Affiliation(s)
- Francesca Diella
- Structural and Computational Biology Unit, European Molecular Biology Laboratory, 69117 Heidelberg, Germany
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30
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Michel K, Budd A, Pinto S, Gibson TJ, Kafatos FC. Anopheles gambiae SRPN2 facilitates midgut invasion by the malaria parasite Plasmodium berghei. EMBO Rep 2006; 6:891-7. [PMID: 16113656 PMCID: PMC1369158 DOI: 10.1038/sj.embor.7400478] [Citation(s) in RCA: 128] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2005] [Revised: 06/06/2005] [Accepted: 06/10/2005] [Indexed: 11/09/2022] Open
Abstract
We report on a phylogenetic and functional analysis of genes encoding three mosquito serpins (SRPN1, SRPN2 and SRPN3), which resemble known inhibitors of prophenoloxidase-activating enzymes in other insects. Following RNA interference induction by double-stranded RNA injection, knockdown of SRPN2 in adult Anopheles gambiae produced a notable phenotype: the appearance of melanotic pseudotumours, which increased in size and number with time, indicating spontaneous melanization and association with an observed lifespan reduction. Furthermore, knockdown of SRPN2 strongly interfered with the invasion of A. gambiae midguts by the rodent malaria parasite Plasmodium berghei. It did not affect ookinete formation, but markedly reduced oocyst numbers, by 97%, as a result of increased ookinete lysis and melanization.
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Affiliation(s)
- Kristin Michel
- Department of Biological Sciences, European Molecular Biology Laboratory, Meyerhofstrasse 1, 69117 Heidelberg, Germany
- Present address: Department of Biological Sciences, Imperial College London, SAF Building, South Kensington, London SW7 2AZ, UK
| | - Aidan Budd
- Department of Biological Sciences, European Molecular Biology Laboratory, Meyerhofstrasse 1, 69117 Heidelberg, Germany
| | - Sofia Pinto
- Department of Biological Sciences, European Molecular Biology Laboratory, Meyerhofstrasse 1, 69117 Heidelberg, Germany
- Present address: Department of Biological Sciences, Imperial College London, SAF Building, South Kensington, London SW7 2AZ, UK
| | - Toby J Gibson
- Department of Biological Sciences, European Molecular Biology Laboratory, Meyerhofstrasse 1, 69117 Heidelberg, Germany
| | - Fotis C Kafatos
- Department of Biological Sciences, European Molecular Biology Laboratory, Meyerhofstrasse 1, 69117 Heidelberg, Germany
- Present address: Department of Biological Sciences, Imperial College London, SAF Building, South Kensington, London SW7 2AZ, UK
- Tel: +44 20 7594 1267; Fax: +44 20 7594 2056; E-mail: or
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31
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Abraham EG, Pinto SB, Ghosh A, Vanlandingham DL, Budd A, Higgs S, Kafatos FC, Jacobs-Lorena M, Michel K. An immune-responsive serpin, SRPN6, mediates mosquito defense against malaria parasites. Proc Natl Acad Sci U S A 2005; 102:16327-32. [PMID: 16260729 PMCID: PMC1283470 DOI: 10.1073/pnas.0508335102] [Citation(s) in RCA: 139] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023] Open
Abstract
We have functionally analyzed the orthologous SRPN6 genes from Anopheles stephensi and Anopheles gambiae using phylogenetic, molecular, reverse genetic, and cell biological tools. The results strongly implicate SRPN6 in the innate immune response against Plasmodium. This gene belongs to a mosquito-specific gene cluster including three additional Anopheles serpins. SRPN6 expression is induced by Escherichia coli and both rodent and human malaria parasites. The gene is specifically expressed in midgut cells invaded by Plasmodium ookinetes and in circulating and attached hemocytes. Knockdown of SRPN6 expression by RNA interference in susceptible An. stephensi leads to substantially increased parasite numbers, whereas depletion in susceptible An. gambiae delays progression of parasite lysis without affecting the number of developing parasites. However, the An. gambiae SRPN6 knockdown increases the number of melanized parasites in the L3-5 refractory strain and in susceptible G3 mosquitoes depleted of CTL4. These results indicate that AsSRPN6 is involved in the parasite-killing process, whereas AgSRPN6 acts on parasite clearance by inhibiting melanization and/or promoting parasite lysis. We propose that these observed phenotypic differences are due to changed roles of the respective target serine proteases in the two mosquito species.
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Affiliation(s)
- Eappen G Abraham
- Department of Molecular Microbiology and Immunology, Malaria Research Institute, Johns Hopkins Bloomberg School of Public Health, 615 North Wolfe Street, Baltimore, MD 21205, USA
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Budd A, Blandin S, Levashina EA, Gibson TJ. Bacterial alpha2-macroglobulins: colonization factors acquired by horizontal gene transfer from the metazoan genome? Genome Biol 2004; 5:R38. [PMID: 15186489 PMCID: PMC463071 DOI: 10.1186/gb-2004-5-6-r38] [Citation(s) in RCA: 67] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2004] [Revised: 04/02/2004] [Accepted: 04/08/2004] [Indexed: 11/14/2022] Open
Abstract
Homologs of metazoan α2-macroglobulins have been found in bacteria. The distribution of these genes in diverse bacterial clades suggests they have been acquired by multiple horizontal transfers. Background Invasive bacteria are known to have captured and adapted eukaryotic host genes. They also readily acquire colonizing genes from other bacteria by horizontal gene transfer. Closely related species such as Helicobacter pylori and Helicobacter hepaticus, which exploit different host tissues, share almost none of their colonization genes. The protease inhibitor α2-macroglobulin provides a major metazoan defense against invasive bacteria, trapping attacking proteases required by parasites for successful invasion. Results Database searches with metazoan α2-macroglobulin sequences revealed homologous sequences in bacterial proteomes. The bacterial α2-macroglobulin phylogenetic distribution is patchy and violates the vertical descent model. Bacterial α2-macroglobulin genes are found in diverse clades, including purple bacteria (proteobacteria), fusobacteria, spirochetes, bacteroidetes, deinococcids, cyanobacteria, planctomycetes and thermotogae. Most bacterial species with bacterial α2-macroglobulin genes exploit higher eukaryotes (multicellular plants and animals) as hosts. Both pathogenically invasive and saprophytically colonizing species possess bacterial α2-macroglobulins, indicating that bacterial α2-macroglobulin is a colonization rather than a virulence factor. Conclusions Metazoan α2-macroglobulins inhibit proteases of pathogens. The bacterial homologs may function in reverse to block host antimicrobial defenses. α2-macroglobulin was probably acquired one or more times from metazoan hosts and has then spread widely through other colonizing bacterial species by more than 10 independent horizontal gene transfers. yfhM-like bacterial α2-macroglobulin genes are often found tightly linked with pbpC, encoding an atypical peptidoglycan transglycosylase, PBP1C, that does not function in vegetative peptidoglycan synthesis. We suggest that YfhM and PBP1C are coupled together as a periplasmic defense and repair system. Bacterial α2-macroglobulins might provide useful targets for enhancing vaccine efficacy in combating infections.
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Affiliation(s)
- Aidan Budd
- European Molecular Biology Laboratory, 69012 Heidelberg, Germany
| | | | - Elena A Levashina
- UPR 9022 du CNRS, IBMC, rue René Descartes, F-67087 Strasbourg CEDEX, France
| | - Toby J Gibson
- European Molecular Biology Laboratory, 69012 Heidelberg, Germany
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Bimpikis K, Budd A, Linding R, Gibson TJ. BLAST2SRS, a web server for flexible retrieval of related protein sequences in the SWISS-PROT and SPTrEMBL databases. Nucleic Acids Res 2003; 31:3792-4. [PMID: 12824420 PMCID: PMC168942 DOI: 10.1093/nar/gkg535] [Citation(s) in RCA: 6] [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: 11/12/2022] Open
Abstract
SRS (Sequence Retrieval System) is a widely used keyword search engine for querying biological databases. BLAST2 is the most widely used tool to query databases by sequence similarity search. These tools allow users to retrieve sequences by shared keyword or by shared similarity, with many public web servers available. However, with the increasingly large datasets available it is now quite common that a user is interested in some subset of homologous sequences but has no efficient way to restrict retrieval to that set. By allowing the user to control SRS from the BLAST output, BLAST2SRS (http://blast2srs.embl.de/) aims to meet this need. This server therefore combines the two ways to search sequence databases: similarity and keyword.
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Abstract
The initiation of chromosomal DNA replication in human cell nuclei is not well understood because of its complexity. To allow investigation of this process on a molecular level, we have recently established a cell-free system that initiates chromosomal DNA replication in an origin-specific manner under cell cycle control in isolated human cell nuclei. We have now used fractionation and reconstitution experiments to functionally identify cellular factors present in a human cell extract that trigger initiation of chromosomal DNA replication in this system. Initial fractionation of a cytosolic extract indicates the presence of at least two independent and non-redundant initiation factors. We have purified one of these factors to homogeneity and identified it as the single-stranded DNA binding protein RPA. The prokaryotic single-stranded DNA binding protein SSB cannot substitute for RPA in the initiation of human chromosomal DNA replication. Antibodies specific for human RPA inhibit the initiation step of human chromosomal DNA replication in vitro. RPA is recruited to DNA replication foci and becomes phosphorylated concomitant with the initiation step in vitro. These data establish a direct functional role for RPA as an essential factor for the initiation of human chromosomal DNA replication.
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Affiliation(s)
- Dávid Szüts
- Department of Zoology, University of Cambridge, Downing Street, Cambridge CB2 3EJ, UK
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Kemeny N, Cohen A, Seiter K, Conti JA, Sigurdson ER, Tao Y, Niedzwiecki D, Botet J, Budd A. Randomized trial of hepatic arterial floxuridine, mitomycin, and carmustine versus floxuridine alone in previously treated patients with liver metastases from colorectal cancer. J Clin Oncol 1993; 11:330-5. [PMID: 8426211 DOI: 10.1200/jco.1993.11.2.330] [Citation(s) in RCA: 63] [Impact Index Per Article: 2.0] [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] [Indexed: 01/30/2023] Open
Abstract
PURPOSE This study was designed to determine if hepatic arterial therapy with floxuridine (F), mitomycin, and carmustine (BCNU) (FMB) is superior to hepatic arterial therapy with F alone in previously treated patients with hepatic metastases from colorectal cancer. PATIENTS AND METHODS Ninety-five patients were randomized to intrahepatic FMB versus intrahepatic F. All patients had tumor progression after systemic chemotherapy (either therapeutic or adjuvant). RESULTS There was no significant difference in response rate (47% FMB v 33% F; P = .17). Median survival was similar in the two groups, 19.1 months for the FMB group compared with 14.0 months for the F group (P = .23). The overall median survival was 16.8 months. In patients who received prior adjuvant therapy, there was no difference between the two groups, but response rate was high in both (50% FMB v 62% F). The response rate for all patients who had received only prior adjuvant therapy versus all those who had received prior therapy for metastatic disease was 57% and 35%, respectively (P = .066). In the subset of patients whose disease had progressed with prior systemic chemotherapy, the response rate to FMB was greater than that to F (47% v 23%; P = .035). CONCLUSION The overall partial response rate of 39% and the overall survival of 16.8 months from initiation of intrahepatitis therapy show that hepatic arterial therapy is a reasonable treatment option for patients whose tumor does not respond to systemic therapy or whose disease progresses after adjuvant therapy for colorectal cancer.
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Affiliation(s)
- N Kemeny
- Department of Medicine, Memorial Sloan-Kettering Cancer Center, New York, NY 10021
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Abstract
One hundred patients were allocated randomly to pretreatment with atracurium 2.5 mg, atracurium 5 mg, fazadinium 3.75 mg or saline 3 minutes before the injection of suxamethonium. The effect upon neuromuscular conduction was studied by recording the mechanical response of the adductor pollicis muscle to indirect stimulation of the ulnar nerve using repeated 2 Hz train of four stimuli. Blood samples were taken at intervals for the measurement of serum potassium. There was no significant difference in the incidence of postoperative muscle pains between the groups in the first 72 hours following anaesthesia. The use of the larger pretreatment dose of atracurium resulted in clinically significant neuromuscular blockade in three of the subjects. Minimal changes in serum potassium occurred in all patients but there was no statistical difference between the groups.
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