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Cited by 484

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A peptidoglycan recognition protein in innate immunity conserved from insects to humans

Open access
Kang, Daiwu, Liu, Gang, Lundström, Annika, Gelius, Eva, Steiner, Håkan·1998·Proceedings of the National Academy of Sciences

Abstract

Innate nonself recognition must rely on common structures of invading microbes. In a differential display screen for up-regulated immune genes in the moth Trichoplusia ni we have found mechanisms for recognition of bacterial cell wall fragments. One bacteria-induced gene encodes a protein that, after expression in the baculovirus system, was shown to be a peptidoglycan recognition protein (PGRP). It binds strongly to Gram-positive bacteria. We have also cloned the corresponding cDNA from mouse and human and shown this gene to be expressed in a variety of organs, notably organs of the immune system—i.e., bone marrow and spleen. In addition, purified recombinant murine PGRP was shown to possess peptidoglycan affinity. From our results and the sequence homology, we conclude that PGRP is a ubiquitous protein involved in innate immunity, conserved from insects to humans.

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Metadata

Authors
Kang, D., Liu, G., Lundström, A., Gelius, E., & Steiner, H.
Venue
Proceedings of the National Academy of Sciences
Published
1998-08-18
Volume
95
Issue
17
Pages
10078-10082
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2029845836
Cited by
484
References
0
FWCI
4.30
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: A peptidoglycan recognition protein in innate immunity conserved from insects to humans. https://app.cochat.ai/papers/10.1073/pnas.95.17.10078
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Kang, D., Liu, G., Lundström, A., Gelius, E., & Steiner, H. (1998). A peptidoglycan recognition protein in innate immunity conserved from insects to humans. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.95.17.10078

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.