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Cited by 417

The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.

Prevention of Constitutive TNF Receptor 1 Signaling by Silencer of Death Domains

Jiang, Yingping, Woronicz, John D., Liu, Wei, Goeddel, David V.·1999·Science

Abstract

Tumor necrosis factor receptor type 1 (TNF-R1) contains a cytoplasmic death domain that is required for the signaling of TNF activities such as apoptosis and nuclear factor kappa B (NF-κB) activation. Normally, these signals are generated only after TNF-induced receptor aggregation. However, TNF-R1 self-associates and signals independently of ligand when overexpressed. This apparent paradox may be explained by silencer of death domains (SODD), a widely expressed ∼60-kilodalton protein that was found to be associated with the death domain of TNF-R1. TNF treatment released SODD from TNF-R1, permitting the recruitment of proteins such as TRADD and TRAF2 to the active TNF-R1 signaling complex. SODD also interacted with death receptor–3 (DR3), another member of the TNF receptor superfamily. Thus, SODD association may be representative of a general mechanism for preventing spontaneous signaling by death domain–containing receptors.

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Metadata

Authors
Jiang, Y., Woronicz, J. D., Liu, W., & Goeddel, D. V.
Venue
Science
Published
1999-01-22
Volume
283
Issue
5401
Pages
543-546
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2071055800
Cited by
417
References
16
FWCI
17.71
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Prevention of Constitutive TNF Receptor 1 Signaling by Silencer of Death Domains. https://app.cochat.ai/papers/10.1126/science.283.5401.543
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Jiang, Y., Woronicz, J. D., Liu, W., & Goeddel, D. V. (1999). Prevention of Constitutive TNF Receptor 1 Signaling by Silencer of Death Domains. Science. https://doi.org/10.1126/science.283.5401.543

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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.