The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Mixed lineage kinase domain-like is a key receptor interacting protein 3 downstream component of TNF-induced necrosis
Open accessAbstract
Tumor necrosis factor (TNF) is an important inflammatory cytokine and induces many cellular responses, including inflammation, cell proliferation, apoptosis, and necrosis. It is known that receptor interacting protein (RIP) kinases, RIP1 and RIP3, are key effectors of TNF-induced necrosis, but little is known about how these two RIP kinases mediate this process, although reactive oxygen species (ROS) generation and JNK activation have been suggested to be two downstream events of RIP kinases. Here we report the identification of mixed lineage kinase domain-like, MLKL, as a key RIP3 downstream component of TNF-induced necrosis. Through screening a kinase/phosphatase shRNA library in human colon adenocarcinoma HT-29 cells, we found that knockdown of MLKL blocked TNF-induced necrosis. Our data suggest that MLKL functions downstream of RIP1 and RIP3 and is recruited to the necrosome through its interaction with RIP3. Finally, we found that MLKL is required for the generation of ROS and the late-phase activation of JNK during TNF-induced necrosis. However, because these two events are not involved in TNF-induced necrosis in HT-29 cells, the target of MLKL during TNF-induced necrosis remains elusive. Taken together, our study suggests that MLKL is a key RIP3 downstream component of TNF-induced necrotic cell death.
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Cites
Chemical inhibitor of nonapoptotic cell death with therapeutic potential for ischemic brain injury
Degterev, A., Huang, Z., Boyce, M., Li, Y., Jagtap, P., Mizushima, N., Cuny, G. D., Mitchison, T. J., Moskowitz, M. A., & Yuan, J. (2005) · Nature Chemical Biology · doi:10.1038/nchembio711 · Cited by 3,068
Signalling pathways of the TNF superfamily: a double-edged sword
Aggarwal, B. B. (2003) · Nature Reviews Immunology · doi:10.1038/nri1184 · Cited by 2,793
Induction of TNF receptor I-mediated apoptosis via two sequential signaling complexes
Micheau, O., & Tschopp, J. (2003) · Cell · doi:10.1016/s0092-8674(03)00521-x · Cited by 2,738
Cho, Y., Challa, S., Moquin, D., Genga, R., Ray, T. D., Guildford, M., & Chan, F. K.-M. (2009) · Cell · doi:10.1016/j.cell.2009.05.037 · Cited by 2,435
Receptor Interacting Protein Kinase-3 Determines Cellular Necrotic Response to TNF-α
He, S., Wang, L., Miao, L., Wang, T., Du, F., Zhao, L., & Wang, X. (2009) · Cell · doi:10.1016/j.cell.2009.05.021 · Cited by 2,214
RIP3, an Energy Metabolism Regulator That Switches TNF-Induced Cell Death from Apoptosis to Necrosis
Zhang, D.-W., Shao, J., Lin, J., Zhang, N., Lu, B.-J., Lin, S.-C., Dong, M.-Q., & Han, J. (2009) · Science · doi:10.1126/science.1172308 · Cited by 1,931
A Genome-wide RNAi Screen Identifies Multiple Synthetic Lethal Interactions with the Ras Oncogene
Luo, J., Emanuele, M. J., Li, D., Creighton, C. J., Schlabach, M. R., Westbrook, T. F., Wong, K.-K., & Elledge, S. J. (2009) · Cell · doi:10.1016/j.cell.2009.05.006 · Cited by 1,017
Self-citationNecroptosis: A Specialized Pathway of Programmed Necrosis
Galluzzi, L., & Kroemer, G. (2008) · Cell · doi:10.1016/j.cell.2008.12.004 · Cited by 561 · cited 1×
“Although the mechanism of TNF-induced apoptotic cell death is well elucidated, the signaling events that lead to TNF-initiated necrotic death, which has recently been named necroptosis (13, 14), are still largely unknown.”
Background
Research works printed but not linked: 18
- 10.1126/science.1071924 · DOI · Paper page
- 10.1038/sj.cdd.4401189 · DOI · Paper page
- 10.1097/00003246-199310001-00002 · DOI
- 10.1038/sj.onc.1203249 · DOI · Paper page
- 10.1038/ni0302-221 · DOI · Paper page
- 10.1016/j.molcel.2007.04.021 · DOI · Paper page
- 10.1016/j.bbabio.2006.06.014 · DOI · Paper page
- 10.1016/j.ceb.2003.10.009 · DOI · Paper page
- 10.1016/j.cellsig.2003.08.007 · DOI · Paper page
- 10.1073/pnas.92.18.8115 · DOI · Paper page
- 10.1093/emboj/cdg379 · DOI · Paper page
- 10.1074/jbc.M313141200 · DOI · Paper page
- 10.1101/gad.1223004 · DOI · Paper page
- 10.1016/j.cell.2004.12.041 · DOI · Paper page
- 10.1038/82732 · DOI · Paper page
- 10.1101/gad.13.19.2514 · DOI · Paper page
- 10.1016/j.molcel.2006.01.018 · DOI · Paper page
- 10.1016/j.cell.2011.11.031 · DOI · Paper page
Cited by
Galluzzi, L., Vitale, I., Aaronson, S. A., Abrams, J. M., Adam, D., Agostinis, P., Alnemri, E. S., Altucci, L., Amelio, I., Andrews, D. W., et al. (2018) · Cell Death & Differentiation · doi:10.1038/s41418-017-0012-4 · Cited by 6,680
Necroptosis and its role in inflammation
Pasparakis, M., & Vandenabeele, P. (2015) · Nature · doi:10.1038/nature14191 · Cited by 2,148
Regulated necrosis: the expanding network of non-apoptotic cell death pathways
Berghe, T. V., Linkermann, A., Jouan-Lanhouet, S., Walczak, H., & Vandenabeele, P. (2014) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm3737 · Cited by 1,735
NLRP3 inflammasome activation and cell death
Huang, Y., Xu, W., & Zhou, R. (2021) · Cellular & Molecular Immunology · doi:10.1038/s41423-021-00740-6 · Cited by 1,527
Necroptosis: The Release of Damage-Associated Molecular Patterns and Its Physiological Relevance
Kaczmarek, A., Vandenabeele, P., & Krysko, D. V. (2013) · Immunity · doi:10.1016/j.immuni.2013.02.003 · Cited by 1,411
Metadata
- Authors
- Zhao, J., Jitkaew, S., Cai, Z., Choksi, S., Li, Q., Luo, J., & Liu, Z.-G.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2012-03-15
- Volume
- 109
- Issue
- 14
- Pages
- 5322-5327
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2120626244
- Cited by
- 907
- References
- 8
- FWCI
- 20.56
- Type
- journal article
- Language
- en
- Open access
- green
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