論文

査読有り
2017年3月4日

Pathogen recognition and Toll-like receptor targeted therapeutics in innate immune cells

International Reviews of Immunology
  • Sarang Tartey
  • ,
  • Osamu Takeuchi

36
2
開始ページ
57
終了ページ
73
記述言語
英語
掲載種別
DOI
10.1080/08830185.2016.1261318
出版者・発行元
TAYLOR & FRANCIS INC

© 2017 Taylor & Francis. The innate immune system deploys a variety of pattern-recognition receptors (PRRs) which include Toll-like receptors (TLRs), RIG-I-like receptors, NOD-like receptors, and C-type lectin receptors to detect the invasion of pathogens and initiate protective responses. The intercellular and intracellular orchestration of signals from different PRRs, their endogenous or microbial ligands and accessory molecules determine the stimulatory or inhibitory responses. Progressing over the last two decades, considerable research on the molecular mechanisms underlying host–pathogen interactions has led to a paradigm shift of our understanding of TLR signaling in the innate immune system. Given that a significant amount of evidence implicates TLRs in the pathogenesis of immune diseases and cancer, and their activation occurs early in the inflammatory cascade, they are attractive targets for novel therapeutic agents. In this review, we discuss the recent advances in TLR signaling cross talks and the mechanism of pathogen recognition with special emphasis on the role of TLRs in tumor immunity and TLR-targeted therapeutics.

リンク情報
DOI
https://doi.org/10.1080/08830185.2016.1261318
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/28060562
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000399467400002&DestApp=WOS_CPL
Scopus
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85014338689&origin=inward
Scopus Citedby
https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=85014338689&origin=inward
ID情報
  • DOI : 10.1080/08830185.2016.1261318
  • ISSN : 0883-0185
  • eISSN : 1563-5244
  • PubMed ID : 28060562
  • SCOPUS ID : 85014338689
  • Web of Science ID : WOS:000399467400002

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