Identification and characterization of an antimicrobial peptide, lysozyme, from Suncus murinus View Full Text


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Article Info

DATE

2019-01-24

AUTHORS

Shota Takemi, Shiomi Ojima, Toru Tanaka, Takafumi Sakai, Ichiro Sakata

ABSTRACT

Lysozyme is one of the most prominent antimicrobial peptides and has been identified from many mammalian species. However, this enzyme has not been studied in the order Insectivora, which includes the most primitive placental mammals. Here, we done the lysozyme cDNA from Suncus murinus (referred to as suncus, its laboratory name) and compare the predicted amino acid sequence to those from other mammalian species. Quantitative PCR analysis revealed a relatively higher expression of this gene in the spleen and gastrointestinal tract of suncus. The lysozyme-immunopositive (ip) cells were found mainly in the red pulp of the spleen and in the mucosa of the whole small intestine, including the follicle-associated epithelium and subepithelial dome of Peyer's patches. The lysozyme-ip cells in the small intestine were mostly distributed in the intestinal crypt, although lysozyme-expressing cells were found not only in the crypt but also in the villi. On the other hand, only a few lysozyme-ip cells were found in the villi and some granules showing intense fluorescence were located toward the lumen. As reported for other mammals, Ki67-ip cells were localized in the crypt and did not co-localize with the lysozyme-ip cells. Moreover, fasting induced a decrease in the mRNA levels of lysozyme in the intestine of suncus. In conclusion, we firstly identified the lysozyme mRNA sequence, clarified expression profile of lysozyme transcripts in suncus and found a unique distribution of lysozyme-producing cells in the suncus intestine. More... »

PAGES

1-12

References to SciGraph publications

Journal

TITLE

Cell and Tissue Research

ISSUE

N/A

VOLUME

N/A

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00441-019-02991-2

DOI

http://dx.doi.org/10.1007/s00441-019-02991-2

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1111650599

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30680460


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