Cited by 81Cytokine Signaling Pathways and InteractionsNF-κB Signaling PathwaysTGF-β signaling in diseases

STAT3 regulates Nemo-like kinase by mediating its interaction with IL-6-stimulated TGFβ-activated kinase 1 for STAT3 Ser-727 phosphorylation

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Kojima, Hirotada, Sasaki, Takanori, Ishitani, Tohru, Iemura, Shun-ichiro, Zhao, Hong, Kaneko, Shuhei, Kunimoto, Hiroyuki, Natsume, Tohru +2 more·2005·Proceedings of the National Academy of Sciences

Abstract

Signal transducer and activator of transcription 3 (STAT3) is activated by the IL-6 family of cytokines and growth factors. STAT3 requires phosphorylation on Ser-727, in addition to tyrosine phosphorylation on Tyr-705, to be transcriptionally active. In IL-6 signaling, the two major pathways that derive from the YXXQ and the YSTV motifs of gp130 cause Ser-727 phosphorylation. Here, we show that TGF-β-activated kinase 1 (TAK1) interacts with STAT3, that the TAK1-Nemo-like kinase (NLK) pathway is efficiently activated by IL-6 through the YXXQ motif, and that this is the YXXQ-mediated H7-sensitive pathway that leads to STAT3 Ser-727 phosphorylation. Because NLK was recently shown to interact with STAT3, we explored the role of STAT3 in activating this pathway. Depletion of STAT3 diminished the IL-6-induced NLK activation by >80% without inhibiting IL-6-induced TAK1 activation or its nuclear entry. We found that STAT3 functioned as a scaffold for TAK1 and NLK in vivo through a region in its carboxyl terminus. Furthermore, the expression of the STAT3 534–770 region in the nuclei of STAT3-knockdown cells enhanced the IL-6-induced NLK activation in a dose-dependent manner but not the TGFβ-induced NLK activation. TGFβ did not cause STAT3 Ser-727 phosphorylation, even when the carboxyl region of STAT3 was expressed in the nuclei. Together, these results indicate that STAT3 enhances the efficiency of its own Ser-727 phosphorylation by acting as a scaffold for the TAK1-NLK kinases, specifically in the YXXQ motif-derived pathway.

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Crossref · 10.1073/pnas.0500679102

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  • Direct binding of NLK to STAT3 results in phosphorylation of STAT3 at Ser727, requiring activity of the TAK1-NLK cascade.

    “Direct binding of NLK to STAT3 resulted in phosphorylation of STAT3 at Ser727, which requires the activity of the TAK1-NLK cascade [22,23].”

    From Nemo-Like Kinase in Development and Diseases: Insights from Mouse Studies (2020) · cites this paper as [23]

    The Results show that STAT3 and NLK interact in a complex and that the TAK1–NLK pathway contributes to STAT3 Ser-727 phosphorylation in IL-6 signaling. The interaction experiments do not establish direct binding, and the paper reports that TGFβ-activated NLK did not phosphorylate STAT3 at Ser-727. The claim omits that signaling-specific qualification. (LLM, conf=0.86)

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  1. [1]Levy, D. E. & Darnell, J. E., Jr. (2002) Nat. Rev. Mol. Cell. Biol. 3, 651–662. [DOI] [PubMed] [Google Scholar]
  2. [2]Decker, T. & Kovarik, P. (2000) Oncogene 19, 2628–2637. [DOI] [PubMed] [Google Scholar]
  3. [3]Wen, Z., Zhong, Z. & Darnell, J. E., Jr. (1995) Cell 82, 241–250. [DOI] [PubMed] [Google Scholar]
  4. [4]Abe, K., Hirai, M., Mizuno, K., Higashi, N., Sekimoto, T., Miki, T., Hirano, T. & Nakajima, K. (2001) Oncogene 20, 3464–3474. [DOI] [PubMed] [Google Scholar]
  5. [5]Pesu, M., Takaluoma, K., Aittomaki, S., Lagerstedt, A., Saksela, K., Kovanen, P. E. & Silvennoinen, O. (2000) Blood 95, 494–502. [PubMed] [Google Scholar]
  6. [6]Boulton, T. G., Zhong, Z., Wen, Z., Darnell, J. E., Jr., Stahl, N. & Yancopoulos, G. D. (1995) Proc. Natl. Acad. Sci. USA 92, 6915–6919. [DOI] [PMC free article] [PubMed] [Google Scholar]
  7. [7]Hirano, T., Ishihara, K. & Hibi, M. (2000) Oncogene 19, 2548–2556. [DOI] [PubMed] [Google Scholar]
  8. [8]Nakajima, K. & Wall, R. (1991) Mol. Cell. Biol. 11, 1409–1418. [DOI] [PMC free article] [PubMed] [Google Scholar]
  9. [9]Nakajima, K., Kusafuka, T., Takeda, T., Fujitani, Y., Nakae, K. & Hirano, T. (1993) Mol. Cell. Biol. 13, 3027–3041. [DOI] [PMC free article] [PubMed] [Google Scholar]
  10. [10]Ichiba, M., Nakajima, K., Yamanaka, Y., Kiuchi, N. & Hirano, T. (1998) J. Biol. Chem. 273, 6132–6138. [DOI] [PubMed] [Google Scholar]
  11. [11]Kiuchi, N., Nakajima, K., Ichiba, M., Fukada, T., Narimatsu, M., Mizuno, K., Hibi, M. & Hirano, T. (1999) J. Exp. Med. 189, 63–73. [DOI] [PMC free article] [PubMed] [Google Scholar]
  12. [12]Yang, E., Lerner, L., Besser, D. & Darnell, J. E., Jr. (2003) J. Biol. Chem. 278, 15794–15799. [DOI] [PubMed] [Google Scholar]
  13. [13]Higashi, N., Kunimoto, H., Kaneko, S., Sasaki, T., Ishii, M., Kojima, H. & Nakajima, K. (2004) Genes Cells 9, 233–242. [DOI] [PubMed] [Google Scholar]
  14. [14]Zhao, H., Nakajima, R., Kunimoto, H., Sasaki, T., Kojima, H. & Nakajima, K. (2004) Biochem. Biophys. Res. Commun. 325, 541–548. [DOI] [PubMed] [Google Scholar]
  15. [15]Stahl, N., Farruggella, T. J., Boulton, T. G., Zhong, Z., Darnell, J. E., Jr. & Yancopoulos, G. D. (1995) Science 267, 1349–1353. [DOI] [PubMed] [Google Scholar]
  16. [16]Yamaguchi, K., Shirakabe, K., Shibuya, H., Irie, K., Oishi, I., Ueno, N., Taniguchi, T., Nishida, E. & Matsumoto, K. (1995) Science 270, 2008–2011. [DOI] [PubMed] [Google Scholar]
  17. [17]Shibuya, H., Yamaguchi, K., Shirakabe, K., Tonegawa, A., Gotoh, Y., Ueno, N., Irie, K., Nishida, E. & Matsumoto, K. (1996) Science 272, 1179–1182. [DOI] [PubMed] [Google Scholar]
  18. [18]Ninomiya-Tsuji, J., Kishimoto, K., Hiyama, A., Inoue, J., Cao, Z. & Matsumoto, K. (1999) Nature 398, 252–256. [DOI] [PubMed] [Google Scholar]
  19. [19]Irie, T., Muta, T. & Takeshige, K. (2000) FEBS Letters 467, 160–164. [DOI] [PubMed] [Google Scholar]
  20. [20]Takaesu, G., Kishida, S., Hiyama, A., Yamaguchi, K., Shibuya, H., Irie, K., Ninomiya-Tsuji, J. & Matsumoto, K. (2000) Mol. Cell 5, 649–658. [DOI] [PubMed] [Google Scholar]
  21. [21]Munoz-Sanjuan, I., Bell, E., Altmann, C. R., Vonica, A. & Brivanlou, A. H. (2002) Development (Cambridge, U.K.) 129, 5529–5540. [DOI] [PubMed] [Google Scholar]
  22. [22]Ishitani, T., Takaesu, G., Ninomiya-Tsuji, J., Shibuya, H., Gaynor, R. B. & Matsumoto, K. (2003) EMBO J. 22, 6277–6288. [DOI] [PMC free article] [PubMed] [Google Scholar]
  23. [23]Jin, G., Klika, A., Callahan, M., Faga, B., Danzig, J., Jiang, Z., Li, X., Stark, G. R., Harrington, J. & Sherf, B. (2004) Proc. Natl. Acad. Sci. USA 101, 2028–2033. [DOI] [PMC free article] [PubMed] [Google Scholar]
  24. [24]Moriguchi, T., Kuroyanagi, N., Yamaguchi, K., Gotoh, Y., Irie, K., Kano, T., Shirakabe, K., Muro, Y., Shibuya, H., Matsumoto, K., et al. (1996) J. Biol. Chem. 271, 13675–13679. [DOI] [PubMed] [Google Scholar]
  25. [25]Shirakabe, K., Yamaguchi, K., Shibuya, H., Irie, K., Matsuda, S., Moriguchi, T., Gotoh, Y., Matsumoto, K. & Nishida, E. (1997) J. Biol. Chem. 272, 8141–8144. [DOI] [PubMed] [Google Scholar]
  26. [26]Ishitani, T., Ninomiya-Tsuji, J., Nagai, S., Nishita, M., Meneghini, M., Barker, N., Waterman, M., Bowerman, B., Clevers, H., Shibuya, H., et al. (1999) Nature 399, 798–802. [DOI] [PubMed] [Google Scholar]
  27. [27]Ishitani, T., Kishida, S., Hyodo-Miura, J., Ueno, N., Yasuda, J., Waterman, M., Shibuya, H., Moon, R. T., Ninomiya-Tsuji, J. & Matsumoto, K. (2003) Mol. Cell. Biol. 23, 131–139. [DOI] [PMC free article] [PubMed] [Google Scholar]
  28. [28]Kanei-Ishii, C., Ninomiya-Tsuji, J., Tanikawa, J., Nomura, T., Ishitani, T., Kishida, S., Kokura, K., Kurahashi, T., Ichikawa-Iwata, E., Kim, Y., et al. (2004) Genes Dev. 18, 816–829. [DOI] [PMC free article] [PubMed] [Google Scholar]
  29. [29]Ohkawara, B., Shirakabe, K., Hyodo-Miura, J., Matsuo, R., Ueno, N., Matsumoto, K. & Shibuya, H. (2004) Genes Dev. 18, 381–386. [DOI] [PMC free article] [PubMed] [Google Scholar]
  30. [30]Kojima, H., Nakajima, K. & Hirano, T. (1996) Oncogene 12, 547–554. [PubMed] [Google Scholar]
  31. [31]Nakajima, K., Yamanaka, Y., Nakae, K., Kojima, H., Ichiba, M., Kiuchi, N., Kitaoka, T., Fukada, T., Hibi, M. & Hirano, T. (1996) EMBO J. 15, 3651–3658. [PMC free article] [PubMed] [Google Scholar]
  32. [32]Seraphin, B. (2002) Adv. Protein. Chem. 61, 99–117. [DOI] [PubMed] [Google Scholar]
  33. [33]Natsume, T., Yamauchi, Y., Nakayama, H., Shinkawa, T., Yanagida, M., Takahashi, N. & Isobe, T. (2002) Anal. Chem. 74, 4725–4733. [DOI] [PubMed] [Google Scholar]
  34. [34]Miyagishi, M. & Taira, K. (2002) Nat. Biotech. 20, 497–500. [DOI] [PubMed] [Google Scholar]
  35. [35]Miyoshi, H., Blomer, U., Takahashi, M., Gage, F. H. & Verma, I. M. (1998) J. Virol. 72, 8150–8157. [DOI] [PMC free article] [PubMed] [Google Scholar]
  36. [36]Katayama, K., Wada, K., Miyoshi, H., Ohashi, K., Tachibana, M., Furuki, R., Mizuguchi, H., Hayakawa, T., Nakajima, A., Kadowaki, T., et al. (2004) FEBS Lett. 560, 178–182. [DOI] [PubMed] [Google Scholar]
  37. [37]Brott, B. K., Pinsky, B. A. & Erikson, R. L. (1998) Proc. Natl. Acad. Sci. USA 95, 963–968. [DOI] [PMC free article] [PubMed] [Google Scholar]

Cited by

Sorted by citations

Authors
Kojima, H., Sasaki, T., Ishitani, T., Iemura, S.-I., Zhao, H., Kaneko, S., Kunimoto, H., Natsume, T., Matsumoto, K., & Nakajima, K.
Affiliations
Osaka City University (JP)
Venue
Proceedings of the National Academy of Sciences
Published
2005-03-11
Volume
102
Issue
12
Pages
4524-4529
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W1983370748
Cited by
81
References
1
Citations by year
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FWCI
2.50
Type
journal article
Language
en
Open access
Locations
  • Proceedings of the National Academy of Sciences (publishedVersion)
  • Europe PMC (PubMed Central) (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Funders
Boehringer Ingelheim Japan
Topics
  • Health Sciences › Medicine › Oncology › Cytokine Signaling Pathways and Interactions
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › NF-κB Signaling Pathways
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › TGF-β signaling in diseases
Keywords
STAT3, Nemo-like kinase, TAK1, IL-6 signaling, gp130, TGF-beta signaling, IL-6 family cytokines, signal transduction
MeSH terms
MAP Kinase Kinase Kinase 7, Amino Acid Sequence, Base Sequence, Binding Sites, Carrier Proteins, Cell Line, DNA, DNA-Binding Proteins, Enzyme Activation, Humans, Phosphorylation, Recombinant Fusion Proteins, Recombinant Proteins, Serine, Signal Transduction, Trans-Activators, Interleukin-6, Amino Acid Motifs, MAP Kinase Kinase Kinases, RNA Interference, Multiprotein Complexes, STAT3 Transcription Factor, I-kappa B Kinase

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