The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
A Toll-like Receptor That Prevents Infection by Uropathogenic Bacteria
Abstract
Toll-like receptors (TLRs) recognize molecular patterns displayed by microorganisms, and their subsequent activation leads to the transcription of appropriate host-defense genes. Here we report the cloning and characterization of a member of the mammalian TLR family, TLR11, that displays a distinct pattern of expression in macrophages and liver, kidney, and bladder epithelial cells. Cells expressing TLR11 fail to respond to known TLR ligands but instead respond specifically to uropathogenic bacteria. Mice lacking TLR11 are highly susceptible to infection of the kidneys by uropathogenic bacteria, indicating a potentially important role for TLR11 in preventing infection of internal organs of the urogenital system.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Takeda, K., Kaisho, T., & Akira, S. (2003) · Annual Review of Immunology · doi:10.1146/annurev.immunol.21.120601.141126 · Cited by 6,143
ECSIT is an evolutionarily conserved intermediate in the Toll/IL-1 signal transduction pathway
Kopp, E., Medzhitov, R., Carothers, J., Xiao, C., Douglas, I., Janeway, C. A., & Ghosh, S. (1999) · Genes & Development · doi:10.1101/gad.13.16.2059 · Cited by 334
Self-citation
Cited by
The role of pattern-recognition receptors in innate immunity: update on Toll-like receptors
Kawai, T., & Akira, S. (2010) · Nature Immunology · doi:10.1038/ni.1863 · Cited by 9,304
Akira, S., & Takeda, K. (2004) · Nature reviews. Immunology · doi:10.1038/nri1391 · Cited by 8,312
Toll-like receptors in innate immunity
Takeda, K. (2004) · International Immunology · doi:10.1093/intimm/dxh186 · Cited by 3,328
The history of toll-like receptors - redefining innate immunity
O'Neill, L. A. J., Golenbock, D., & Bowie, A. G. (2013) · Nature reviews. Immunology · doi:10.1038/nri3446 · Cited by 1,765
Negative regulation of Toll-like receptor-mediated immune responses
Liew, F. Y., Xu, D., Brint, E. K., & O'Neill, L. A. J. (2005) · Nature Reviews Immunology · doi:10.1038/nri1630 · Cited by 1,509
Metadata
- Authors
- Zhang, D., Zhang, G., Hayden, M. S., Greenblatt, M. B., Bussey, C., Flavell, R. A., & Ghosh, S.
- Venue
- Science
- Published
- 2004-03-05
- Volume
- 303
- Issue
- 5663
- Pages
- 1522-1526
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W1980273234
- Cited by
- 1,004
- References
- 2
- FWCI
- 46.60
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
