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Interdependent SMAD and JNK Signaling in Transforming Growth Factor-β-mediated Transcription
Open accessAbstract
SMAD and JNK cascades are essential components of the transforming growth factor-beta (TGF-beta) signaling machinery and are implicated in common transcriptional responses. However, the relationship of these pathways to one another downstream of the TGF-beta receptor complex is unknown. We show that JNK is rapidly activated by TGF-beta in a SMAD-independent manner and phosphorylates Smad3 outside its -SSXS motif. Smad3 phosphorylation by JNK facilitates both its activation by the TGF-beta receptor complex and its nuclear accumulation. JNK regulates SMAD- and TGF-beta-mediated transcriptional responses, yet JNK activators only partially stimulate transcriptional responses characteristic of TGF-beta without coincident SMAD pathway activation. These results suggest an interdependent relationship between the JNK and SMAD pathways in TGF-beta-mediated transcription.
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Cites
Smad3 and Smad4 cooperate with c-Jun/c-Fos to mediate TGF-β-induced transcription
Zhang, Y., Feng, X.-H., & Derynck, R. (1998) · Nature · doi:10.1038/29814 · Cited by 809
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Metadata
- Authors
- Engel, M. E., McDonnell, M. A., Law, B. K., & Moses, H. L.
- Venue
- Journal of Biological Chemistry
- Publisher
- Elsevier BV
- Published
- 1999-12
- Volume
- 274
- Issue
- 52
- Pages
- 37413-37420
- ISSN
- 0021-9258 (ISSN-L)
- OpenAlex
- W2069911905
- Cited by
- 531
- References
- 1
- FWCI
- 7.94
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Engel, M. E., McDonnell, M. A., Law, B. K., & Moses, H. L. (1999). Interdependent SMAD and JNK Signaling in Transforming Growth Factor-β-mediated Transcription. Journal of Biological Chemistry. https://doi.org/10.1074/jbc.274.52.37413
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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.
