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Cited by 1,545

The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.

Noncanonical Inflammasome Activation by Intracellular LPS Independent of TLR4

Kayagaki, Nobuhiko, Wong, Michael T., Stowe, Irma B., Ramani, Sree Ranjani, Gonzalez, Lino C., Akashi-Takamura, Sachiko, Miyake, Kensuke, Zhang, Juan, Lee, Wyne P., Muszyński, Artur, Forsberg, Lennart S., Carlson, Russell W., Dixit, Vishva M.·2013·Science

Abstract

Move Over, TLR4: The innate immune system senses bacterial lipopolysaccharide (LPS) through Toll-like receptor 4 (TLR4) (see the Perspective by Kagan ). However, Kayagaki et al. (p 1246 , published online 25 July) and Hagar et al. (p. 1250 ) report that the hexa-acyl lipid A component of LPS from Gramnegative bacteria is able to access the cytoplasm and activate caspase-11 to signal immune responses independently of TLR4. Mice that lack caspase-11 are resistant to LPS-induced lethality, even in the presence of TLR4.

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Metadata

Authors
Kayagaki, N., Wong, M. T., Stowe, I. B., Ramani, S. R., Gonzalez, L. C., Akashi-Takamura, S., Miyake, K., Zhang, J., Lee, W. P., Muszyński, A., Forsberg, L. S., Carlson, R. W., & Dixit, V. M.
Venue
Science
Published
2013-09-13
Volume
341
Issue
6151
Pages
1246-1249
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2055727949
Cited by
1,545
References
34
FWCI
40.61
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Noncanonical Inflammasome Activation by Intracellular LPS Independent of TLR4. https://app.cochat.ai/papers/10.1126/science.1240248
The paper
Kayagaki, N., Wong, M. T., Stowe, I. B., Ramani, S. R., Gonzalez, L. C., Akashi-Takamura, S., Miyake, K., Zhang, J., Lee, W. P., Muszyński, A., Forsberg, L. S., Carlson, R. W., & Dixit, V. M. (2013). Noncanonical Inflammasome Activation by Intracellular LPS Independent of TLR4. Science. https://doi.org/10.1126/science.1240248

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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.