Intelectin 3 is dispensable for resistance against a mycobacterial infection in zebrafish (Danio rerio) View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-12

AUTHORS

Markus J. T. Ojanen, Meri I. E. Uusi-Mäkelä, Sanna-Kaisa E. Harjula, Anni K. Saralahti, Kaisa E. Oksanen, Niklas Kähkönen, Juha A. E. Määttä, Vesa P. Hytönen, Marko Pesu, Mika Rämet

ABSTRACT

Tuberculosis is a multifactorial bacterial disease, which can be modeled in the zebrafish (Danio rerio). Abdominal cavity infection with Mycobacterium marinum, a close relative of Mycobacterium tuberculosis, leads to a granulomatous disease in adult zebrafish, which replicates the different phases of human tuberculosis, including primary infection, latency and spontaneous reactivation. Here, we have carried out a transcriptional analysis of zebrafish challenged with low-dose of M. marinum, and identified intelectin 3 (itln3) among the highly up-regulated genes. In order to clarify the in vivo significance of Itln3 in immunity, we created nonsense itln3 mutant zebrafish by CRISPR/Cas9 mutagenesis and analyzed the outcome of M. marinum infection in both zebrafish embryos and adult fish. The lack of functional itln3 did not affect survival or the mycobacterial burden in the zebrafish. Furthermore, embryonic survival was not affected when another mycobacterial challenge responsive intelectin, itln1, was silenced using morpholinos either in the WT or itln3 mutant fish. In addition, M. marinum infection in dexamethasone-treated adult zebrafish, which have lowered lymphocyte counts, resulted in similar bacterial burden in both WT fish and homozygous itln3 mutants. Collectively, although itln3 expression is induced upon M. marinum infection in zebrafish, it is dispensable for protective mycobacterial immune response. More... »

PAGES

995

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  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/s41598-018-37678-1

    DOI

    http://dx.doi.org/10.1038/s41598-018-37678-1

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1111780897

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/30700796


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