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Cited by 335

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Protection against Fas/APO-1- and tumor necrosis factor-mediated cell death by a novel protein, sentrin

Okura, T, Gong, L, Kamitani, T, Wada, T, Okura, I, Wei, C F, Chang, H M, Yeh, E T·1996·The Journal of Immunology

Abstract

Fas/APO-1 and TNF receptor 1 share a common signaling motif in their cytoplasmic tail called the "death domain." Using the death domain as bait in the yeast two-hybrid system, several death domain-containing proteins that participate in cell death signaling have been identified. Here we report the isolation of a novel protein, sentrin, which interacts with Fas/APO-1 and TNF receptor 1 but not with FADD/MORT1 or CD40. Two-hybrid interaction assays reveal that sentrin associates only with the signal-competent forms of Fas/APO-1 or TNF receptor 1 death domains. Sentrin is a novel protein of 101 amino acids with homology to ubiquitin, Nedd8, and a Saccharomyces cerevisiae protein, Smt3. When overexpressed, sentrin provides protection against both anti-Fas/APO-1 and TNF-induced cell death.

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Metadata

Authors
Okura, T., Gong, L., Kamitani, T., Wada, T., Okura, I., Wei, C. F., Chang, H. M., & Yeh, E. T.
Venue
The Journal of Immunology
Published
1996-11
Volume
157
Issue
10
Pages
4277-4281
ISSN
  • 0022-1767 (ISSN-L)
  • 1550-6606
OpenAlex
W2167523718
Cited by
335
References
0
FWCI
11.50
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Protection against Fas/APO-1- and tumor necrosis factor-mediated cell death by a novel protein, sentrin. https://app.cochat.ai/papers/10.4049/jimmunol.157.10.4277
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Okura, T., Gong, L., Kamitani, T., Wada, T., Okura, I., Wei, C. F., Chang, H. M., & Yeh, E. T. (1996). Protection against Fas/APO-1- and tumor necrosis factor-mediated cell death by a novel protein, sentrin. The Journal of Immunology. https://doi.org/10.4049/jimmunol.157.10.4277

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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.