The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.
Identification and functional characterization of DR6, a novel death domain‐containing TNF receptor
Open accessAbstract
Tumor nectosis factor (TNF) receptors are key players in inflammation and immune regulation. A new member of this family, termed death receptor‐6 (DR6), has been identified. Like other death receptors, DR6 is a type I transmembrane receptor, possesses four extracellular cysteine‐rich motifs and a cytoplasmic death domain. DR6 is expressed in most human tissues and abundant transcript was detected in heart, brain, placenta, pancreas, thymus, lymph node and several non‐lymphoid cancer cell lines. DR6 interacts with TRADD, which has previously been shown to associate with TNFR1. Furthermore, ectopic expression of DR6 in mammalian cells induces apoptosis and activation of both NF‐κB and JNK.
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Cites
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Cited by
Signalling pathways of the TNF superfamily: a double-edged sword
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Self-citationRETRACTED ARTICLE: APP binds DR6 to trigger axon pruning and neuron death via distinct caspases
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Retracted
Metadata
- Authors
- Pan, G., Bauer, J. H., Haridas, V., Wang, S., Liu, D., Yu, G., Vincenz, C., Aggarwal, B. B., Ni, J., & Dixit, V. M.
- Venue
- FEBS Letters
- Publisher
- Wiley
- Published
- 1998-07-24
- Volume
- 431
- Issue
- 3
- Pages
- 351-356
- ISSN
- 0014-5793 (ISSN-L)
- 1873-3468
- OpenAlex
- W1966347912
- Cited by
- 291
- References
- 35
- FWCI
- 6.64
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Pan, G., Bauer, J. H., Haridas, V., Wang, S., Liu, D., Yu, G., Vincenz, C., Aggarwal, B. B., Ni, J., & Dixit, V. M. (1998). Identification and functional characterization of DR6, a novel death domain‐containing TNF receptor. FEBS Letters. https://doi.org/10.1016/s0014-5793(98)00791-1
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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.
