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Mammalian MAPK Signal Transduction Pathways Activated by Stress and Inflammation: A 10-Year Update
Open accessAbstract
The mammalian stress-activated families of mitogen-activated protein kinases (MAPKs) were first elucidated in 1994, and by 2001, substantial progress had been made in identifying the architecture of the pathways upstream of these kinases as well as in cataloguing candidate substrates. This information remains largely sound. Nevertheless, an informed understanding of the physiological and pathophysiological roles of these kinases remained to be accomplished. In the past decade, there has been an explosion of new work using RNAi in cells, as well as transgenic, knockout and conditional knockout technology in mice that has provided valuable insight into the functions of stress-activated MAPK pathways. These findings have important implications in our understanding of organ development, innate and acquired immunity, and diseases such as atherosclerosis, tumorigenesis, and type 2 diabetes. These new developments bring us within striking distance of the development and validation of novel treatment strategies. Herein we first summarize the molecular components of the mammalian stress-regulated MAPK pathways and their regulation as described thus far. We then review some of the in vivo functions of these pathways.
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Cited by
The oxytocin receptor: from intracellular signaling to behavior
Jurek, B., & Neumann, I. D. (2018) · Physiological Reviews · doi:10.1152/physrev.00031.2017 · Cited by 999
Diversity and versatility of p38 kinase signalling in health and disease
Canovas, B., & Nebreda, A. R. (2021) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-020-00322-w · Cited by 657
Dual‐specificity MAP kinase phosphatases (MKPs): Shaping the outcome of MAP kinase signalling
Caunt, C. J., & Keyse, S. M. (2013) · The FEBS Journal · doi:10.1111/j.1742-4658.2012.08716.x · Cited by 535
Signaling pathways in rheumatoid arthritis: implications for targeted therapy
Ding, Q., Hu, W., Wang, R., Yang, Q., Zhu, M., Li, M., Cai, J., Rose, P., Mao, J., & Zhu, Y. Z. (2023) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-023-01331-9 · Cited by 478
Zhou, M., Xu, W., Wang, J., Yan, J., Shi, Y., Zhang, C., Ge, W., Wu, J., Du, P., & Chen, Y. (2018) · EBioMedicine · doi:10.1016/j.ebiom.2018.08.035 · Cited by 357
Metadata
- Authors
- Kyriakis, J. M., & Avruch, J.
- Venue
- Physiological Reviews
- Publisher
- American Physiological Society
- Published
- 2012-04
- Volume
- 92
- Issue
- 2
- Pages
- 689-737
- ISSN
- 0031-9333 (ISSN-L)
- 1522-1210
- OpenAlex
- W2121000910
- Cited by
- 1,466
- References
- 41
- FWCI
- 5.54
- Type
- journal article
- Language
- en
- Open access
- hybrid
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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Data sources
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.