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Cited by 169

The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.

MLKL forms disulfide bond-dependent amyloid-like polymers to induce necroptosis

Open access
Liu, Shuzhen, Liu, Hua, Johnston, Andrea, Hanna-Addams, Sarah, Reynoso, Eduardo, Xiang, Yougui, Wang, Zhigao·2017·Proceedings of the National Academy of Sciences

Abstract

Significance: Necroptosis is a programmed form of necrotic cell death which is implicated in a wide range of human pathological conditions. It is controlled by receptor-interacting protein kinase 3 (RIPK3) and its substrate mixed-lineage kinase domain-like protein (MLKL). Phosphorylated MLKL forms tetramers and translocates to membrane fractions to induce cell death. Here we report that MLKL tetramers further polymerize to form disulfide bond-dependent amyloid-like fibers, which are required for necroptosis. Furthermore, induced polymerization of the MLKL N-terminal domain is sufficient to activate necroptosis without RIPK3. This work reveals a mechanism for MLKL activation and generates exciting directions for necroptosis regulation.

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Metadata

Authors
Liu, S., Liu, H., Johnston, A., Hanna-Addams, S., Reynoso, E., Xiang, Y., & Wang, Z.
Venue
Proceedings of the National Academy of Sciences
Published
2017-08-21
Volume
114
Issue
36
Pages
E7450-E7459
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2749909301
Cited by
169
References
11
FWCI
5.34
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: MLKL forms disulfide bond-dependent amyloid-like polymers to induce necroptosis. https://app.cochat.ai/papers/10.1073/pnas.1707531114
The paper
Liu, S., Liu, H., Johnston, A., Hanna-Addams, S., Reynoso, E., Xiang, Y., & Wang, Z. (2017). MLKL forms disulfide bond-dependent amyloid-like polymers to induce necroptosis. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1707531114

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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.