The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Loss of the autophagy protein Atg16L1 enhances endotoxin-induced IL-1β production
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Citations
Cites
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Self-citation
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Cited by
The role of pattern-recognition receptors in innate immunity: update on Toll-like receptors
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Self-citationPattern Recognition Receptors and Inflammation
Takeuchi, O., & Akira, S. (2010) · Cell · doi:10.1016/j.cell.2010.01.022 · Cited by 8,895
Self-citationA role for mitochondria in nlrp3 inflammasome activation
Zhou, R., Yazdi, A. S., Menu, P., & Tschopp, J. (2011) · Nature · doi:10.1038/nature09663 · Cited by 5,602
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Reactive Oxygen Species in Inflammation and Tissue Injury
Mittal, M., Siddiqui, M. R., Tran, K., Reddy, S. P., & Malik, A. B. (2014) · Antioxidants & Redox Signaling · doi:10.1089/ars.2012.5149 · Cited by 4,897
Metadata
- Authors
- Saitoh, T., Fujita, N., Jang, M. H., Uematsu, S., Yang, B.-G., Satoh, T., Omori, H., Noda, T., Yamamoto, N., Komatsu, M., Tanaka, K., Kawai, T., Tsujimura, T., Takeuchi, O., Yoshimori, T., & Akira, S.
- Venue
- Nature
- Published
- 2008-10-05
- Volume
- 456
- Issue
- 7219
- Pages
- 264-268
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W2064741210
- Cited by
- 2,014
- References
- 11
- FWCI
- 60.44
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
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- CoChat. (2026). Citation check: Loss of the autophagy protein Atg16L1 enhances endotoxin-induced IL-1β production. https://app.cochat.ai/papers/10.1038/nature07383
- The paper
- Saitoh, T., Fujita, N., Jang, M. H., Uematsu, S., Yang, B.-G., Satoh, T., Omori, H., Noda, T., Yamamoto, N., Komatsu, M., Tanaka, K., Kawai, T., Tsujimura, T., Takeuchi, O., Yoshimori, T., & Akira, S. (2008). Loss of the autophagy protein Atg16L1 enhances endotoxin-induced IL-1β production. Nature. https://doi.org/10.1038/nature07383
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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.