The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
The dynamic and stress-adaptive signaling hub of 14-3-3: emerging mechanisms of regulation and context-dependent protein–protein interactions
Open accessAbstract
14-3-3 proteins are a family of structurally similar phospho-binding proteins that regulate essentially every major cellular function. Decades of research on 14-3-3s have revealed a remarkable network of interacting proteins that demonstrate how 14-3-3s integrate and control multiple signaling pathways. In particular, these interactions place 14-3-3 at the center of the signaling hub that governs critical processes in cancer, including apoptosis, cell cycle progression, autophagy, glucose metabolism, and cell motility. Historically, the majority of 14-3-3 interactions have been identified and studied under nutrient-replete cell culture conditions, which has revealed important nutrient driven interactions. However, this underestimates the reach of 14-3-3s. Indeed, the loss of nutrients, growth factors, or changes in other environmental conditions (e.g., genotoxic stress) will not only lead to the loss of homeostatic 14-3-3 interactions, but also trigger new interactions, many of which are likely stress adaptive. This dynamic nature of the 14-3-3 interactome is beginning to come into focus as advancements in mass spectrometry are helping to probe deeper and identify context-dependent 14-3-3 interactions-providing a window into adaptive phosphorylation-driven cellular mechanisms that orchestrate the tumor cell's response to a variety of environmental conditions including hypoxia and chemotherapy. In this review, we discuss emerging 14-3-3 regulatory mechanisms with a focus on post-translational regulation of 14-3-3 and dynamic protein-protein interactions that illustrate 14-3-3's role as a stress-adaptive signaling hub in cancer.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
1 retracted
Mitochondrial Autophagy Is an HIF-1-dependent Adaptive Metabolic Response to Hypoxia
Zhang, H., Bosch-Marce, M., Shimoda, L. A., Tan, Y. S., Baek, J. H., Wesley, J. B., Gonzalez, F. J., & Semenza, G. L. (2008) · Journal of Biological Chemistry · doi:10.1074/jbc.m800102200 · Cited by 1,601
RetractedLysine acetylation targets protein complexes and co-regulates major cellular functions
Choudhary, C., Kumar, C., Gnad, F., Nielsen, M. L., Rehman, M., Walther, T. C., Olsen, J. V., & Mann, M. (2009) · Science · doi:10.1126/science.1175371 · Cited by 4,040
AMPK Phosphorylation of Raptor Mediates a Metabolic Checkpoint
Gwinn, D. M., Shackelford, D. B., Egan, D. F., Mihaylova, M. M., Mery, A., Vasquez, D. S., Turk, B. E., & Shaw, R. J. (2008) · Molecular Cell · doi:10.1016/j.molcel.2008.03.003 · Cited by 3,849
Mutation of the mouse klotho gene leads to a syndrome resembling ageing
Kuro-o, M., Matsumura, Y., Aizawa, H., Kawaguchi, H., Suga, T., Utsugi, T., Ohyama, Y., Kurabayashi, M., Kaname, T., Kume, E., et al. (1997) · Nature · doi:10.1038/36285 · Cited by 3,837
Mammalian thioredoxin is a direct inhibitor of apoptosis signal‐regulating kinase (ASK) 1
Saitoh, M., Nishitoh, H., Fujii, M., Takeda, K., Tobiume, K., Sawada, Y., Kawabata, M., Miyazono, K., & Ichijo, H. (1998) · The EMBO Journal · doi:10.1093/emboj/17.9.2596 · Cited by 2,377
Quantitative flux analysis reveals folate-dependent NADPH production
Fan, J., Ye, J., Kamphorst, J. J., Shlomi, T., Thompson, C. B., & Rabinowitz, J. D. (2014) · Nature · doi:10.1038/nature13236 · Cited by 1,114
DeYoung, M. P., Horak, P., Sofer, A., Sgroi, D., & Ellisen, L. W. (2008) · Genes & Development · doi:10.1101/gad.1617608 · Cited by 710 · cited 2×
“Induction of hypoxia or other cellular stresses also promotes REDD1 disruption of the 14-3-3-TSC2 interaction to allow TSC2dependent inhibition of mTORC1 activity and subsequent growth inhibition [80].”
BackgroundBAD and glucokinase reside in a mitochondrial complex that integrates glycolysis and apoptosis
Danial, N. N., Gramm, C. F., Scorrano, L., Zhang, C.-Y., Krauss, S., Ranger, A. M., Robert Datta, S., Greenberg, M. E., Licklider, L. J., Lowell, B. B., et al. (2003) · Nature · doi:10.1038/nature01825 · Cited by 705
JNK promotes Bax translocation to mitochondria through phosphorylation of 14‐3‐3 proteins
Tsuruta, F., Sunayama, J., Mori, Y., Hattori, S., Shimizu, S., Tsujimoto, Y., Yoshioka, K., Masuyama, N., & Gotoh, Y. (2004) · The EMBO Journal · doi:10.1038/sj.emboj.7600194 · Cited by 556
Collins, B. C., Gillet, L. C., Rosenberger, G., Röst, H. L., Vichalkovski, A., Gstaiger, M., & Aebersold, R. (2013) · Nature Methods · doi:10.1038/nmeth.2703 · Cited by 314
Cited by
Proteomic and interactomic insights into the molecular basis of cell functional diversity
Bludau, I., & Aebersold, R. (2020) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-020-0231-2 · Cited by 297
Integrative proteogenomic characterization of hepatocellular carcinoma across etiologies and stages
Ng, C. K. Y., Dazert, E., Boldanova, T., Coto-Llerena, M., Nuciforo, S., Ercan, C., Suslov, A., Meier, M.-A., Bock, T., Schmidt, A., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-29960-8 · Cited by 165
Small molecules targeting protein–protein interactions for cancer therapy
Wu, D., Li, Y., Zheng, L., Xiao, H., Ouyang, L., Wang, G., & Sun, Q. (2023) · Acta Pharmaceutica Sinica B · doi:10.1016/j.apsb.2023.05.035 · Cited by 71
Jin, W., Brannan, K. W., Kapeli, K., Park, S. S., Tan, H. Q., Gosztyla, M. L., Mujumdar, M., Ahdout, J., Henroid, B., Rothamel, K., et al. (2023) · Molecular Cell · doi:10.1016/j.molcel.2023.06.019 · Cited by 52
Carreño, A., & Lykke-Andersen, J. (2022) · Molecular and Cellular Biology · doi:10.1128/mcb.00055-22 · Cited by 12
Metadata
- Authors
- Pennington, K., Chan, T., Torres, M., & Andersen, J.
- Venue
- Oncogene
- Published
- 2018-06-18
- Volume
- 37
- Issue
- 42
- Pages
- 5587-5604
- ISSN
- 0950-9232 (ISSN-L)
- 1476-5594
- OpenAlex
- W2807814263
- Cited by
- 364
- References
- 16
- FWCI
- 9.65
- 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 ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: The dynamic and stress-adaptive signaling hub of 14-3-3: emerging mechanisms of regulation and context-dependent protein–protein interactions. https://app.cochat.ai/papers/10.1038/s41388-018-0348-3
- The paper
- Pennington, K., Chan, T., Torres, M., & Andersen, J. (2018). The dynamic and stress-adaptive signaling hub of 14-3-3: emerging mechanisms of regulation and context-dependent protein–protein interactions. Oncogene. https://doi.org/10.1038/s41388-018-0348-3
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.
