論文

査読有り 筆頭著者 責任著者
2002年4月

Lack of Shiga-like toxin binding sites in germinal centres of mouse lymphoid tissues

IMMUNOLOGY
  • Y Imai
  • ,
  • T Fukui
  • ,
  • A Ikegaya
  • ,
  • T Ishikawa
  • ,
  • Y Ono
  • ,
  • K Kurohane

105
4
開始ページ
509
終了ページ
514
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1046/j.1365-2567.2002.01373.x
出版者・発行元
WILEY-BLACKWELL

B cells in germinal centres are known to express carbohydrate antigen CD77 in human lymphoid tissues. The CD77 antigen is specifically recognized by Shiga-like toxins (SLTs) that are produced by enterohaemorrhagic Escherichia coli O157:H7. To determine whether the binding subunits of Shiga-like toxin-1 (SLT-1B) could have adverse effects on the murine immune system when used as an immunogen, we investigated whether SLT-1B could bind to germinal centres of mouse lymphoid tissues. Frozen sections of peripheral lymph nodes and Peyer's patches from immunized mice were tested for the presence of SLT-1B-binding sites by immunohistological methods. Germinal centres were not stained with SLT-1B, while they were intensely stained with peanut agglutinin (PNA), another marker of germinal centres. On the other hand, SLT-1B specifically bound to renal tubules and collecting ducts in frozen sections of mouse kidney. This is consistent with results from human tissues. We also demonstrated that B220/PNA double-positive populations in lymph nodes from immunized mice exhibited only marginal staining with SLT-1B. The present results suggest that SLTs would not impede germinal centre functions of the murine immune system.

リンク情報
DOI
https://doi.org/10.1046/j.1365-2567.2002.01373.x
CiNii Articles
http://ci.nii.ac.jp/naid/80015435487
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/11985671
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000174999800015&DestApp=WOS_CPL
ID情報
  • DOI : 10.1046/j.1365-2567.2002.01373.x
  • ISSN : 0019-2805
  • CiNii Articles ID : 80015435487
  • PubMed ID : 11985671
  • Web of Science ID : WOS:000174999800015

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