The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Phosphorylation Site Interdependence of Human p53 Post-translational Modifications in Response to Stress
Open accessAbstract
Modification-specific antibodies were used to characterize the phosphorylation and acetylation of human p53 in response to genotoxic (UV, IR, and adriamycin) and non-genotoxic (PALA, taxol, nocodazole) stress in cultured human cells at 14 known modification sites. In A549 cells, phosphorylation or acetylation was induced at most sites by the three DNA damage-inducing agents, but significant differences between agents were observed. IR-induced phosphorylation reached a maximum 2 h after treatment and returned to near pretreatment levels by 72 h; UV light and adriamycin induced a less rapid but more robust and prolonged p53 phosphorylation, which reached a maximum between 8 and 24 h, but persisted (UV) even 96 h after treatment. Ser33, Ser37, Ser46, and Ser392 were more efficiently phosphorylated after exposure to UV light than after IR. The non-genotoxic agents PALA, taxol and nocodazole induced p53 accumulation and phosphorylation at Ser6, Ser33, Ser46, and Ser392. Some phosphorylation at Ser15 also was observed. Modifications occurred similarly in the HCT116 human colon carcinoma cell line. Analysis of single site mutant p53s indicated clear interdependences between N-terminal phosphorylation sites, which could be classified in four clusters: Ser6 and Ser9; Ser9, Ser15, Thr18 and Ser20; Ser33 and Ser37; and Ser46. We suggest that p53 phosphorylation is regulated through a double cascade involving both the activation of secondary, effector protein kinases as well as intermolecular phosphorylation site interdependencies that check inappropriate p53 inactivation while allowing for signal amplification and the integration of signals from multiple stress pathways.
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
DNA damage-induced phosphorylation of p53 alleviates inhibition by MDM2
Shieh, S.-Y., Ikeda, M., Taya, Y., & Prives, C. (1997) · Cell · doi:10.1016/s0092-8674(00)80416-x · Cited by 2,100
DNA damage activates p53 through a phosphorylation–acetylation cascade
Sakaguchi, K., Herrera, J. E., Saito, S., Miki, T., Bustin, M., Vassilev, A., Anderson, C. W., & Appella, E. (1998) · Genes & Development · doi:10.1101/gad.12.18.2831 · Cited by 1,204
Self-citationp53 Sites Acetylated In Vitro by PCAF and p300 Are Acetylated In Vivo in Response to DNA Damage
Liu, L., Scolnick, D. M., Trievel, R. C., Zhang, H. B., Marmorstein, R., Halazonetis, T. D., & Berger, S. L. (1999) · Molecular and Cellular Biology · doi:10.1128/mcb.19.2.1202 · Cited by 776
The evolution of diverse biological responses to DNA damage: insights from yeast and p53
Wahl, G. M., & Carr, A. M. (2001) · Nature Cell Biology · doi:10.1038/ncb1201-e277 · Cited by 376
Cited by
The multiple mechanisms that regulate p53 activity and cell fate
Hafner, A., Bulyk, M. L., Jambhekar, A., & Lahav, G. (2019) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-019-0110-x · Cited by 1,129
The complexity of p53 stabilization and activation
Lavin, M. F., & Gueven, N. (2006) · Cell Death & Differentiation · doi:10.1038/sj.cdd.4401925 · Cited by 701
Feng, Z., Hu, W., de Stanchina, E., Teresky, A. K., Jin, S., Lowe, S., & Levine, A. J. (2007) · Cancer Research · doi:10.1158/0008-5472.can-06-4149 · Cited by 633
p53 modifications: exquisite decorations of the powerful guardian
Liu, Y., Tavana, O., & Gu, W. (2019) · Journal of Molecular Cell Biology · doi:10.1093/jmcb/mjz060 · Cited by 392
Pejaver, V., Hsu, W., Xin, F., Dunker, A. K., Uversky, V. N., & Radivojac, P. (2014) · Protein Science · doi:10.1002/pro.2494 · Cited by 349
Metadata
- Authors
- Saito, S., Yamaguchi, H., Higashimoto, Y., Chao, C., Xu, Y., Fornace, A. J., Appella, E., & Anderson, C. W.
- Venue
- Journal of Biological Chemistry
- Publisher
- Elsevier BV
- Published
- 2003-09
- Volume
- 278
- Issue
- 39
- Pages
- 37536-37544
- ISSN
- 0021-9258 (ISSN-L)
- OpenAlex
- W2118733942
- Cited by
- 254
- References
- 4
- FWCI
- 7.06
- 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: Phosphorylation Site Interdependence of Human p53 Post-translational Modifications in Response to Stress. https://app.cochat.ai/papers/10.1074/jbc.m305135200
- The paper
- Saito, S., Yamaguchi, H., Higashimoto, Y., Chao, C., Xu, Y., Fornace, A. J., Appella, E., & Anderson, C. W. (2003). Phosphorylation Site Interdependence of Human p53 Post-translational Modifications in Response to Stress. Journal of Biological Chemistry. https://doi.org/10.1074/jbc.m305135200
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.