Hodgkinson, J.W., Belosevic, M., Elks, P.M. orcid.org/0000-0003-1683-0749 et al. (1 more author) (2019) Teleost contributions to the understanding of mycobacterial diseases. Developmental & Comparative Immunology, 96. pp. 111-125. ISSN 0145-305X
Abstract
Few pathogens have shaped human medicine as the mycobacteria. From understanding biological phenomena driving disease spread, to mechanisms of host-pathogen interactions and antibiotic resistance, the Mycobacterium genus continues to challenge and offer insights into the basis of health and disease. Teleost fish models of mycobacterial infections have progressed significantly over the past three decades, now supplying a range of unique tools and new opportunities to define the strategies employed by these Gram-positive bacteria to overcome host defenses, as well as those host antimicrobial pathways that can be used to limit its growth and spread. Herein, we take a comparative perspective and provide an update on the contributions of teleost models to our understanding of mycobacterial diseases.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2019 Elsevier. This is an author produced version of a paper subsequently published in Developmental & Comparative Immunology. Uploaded in accordance with the publisher's self-archiving policy. Article available under the terms of the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
Keywords: | Mycobacterial diseases; Host-microbe interactions; Teleost models; Zebrafish; Comparative immunology |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > The Medical School (Sheffield) > Department of Infection & Immunity |
Funding Information: | Funder Grant number Wellcome Trust (The) 105570/Z/14/Z |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 07 Aug 2019 14:36 |
Last Modified: | 15 Feb 2020 01:39 |
Status: | Published |
Publisher: | Elsevier |
Refereed: | Yes |
Identification Number: | 10.1016/j.dci.2019.02.011 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:149446 |
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