Oscillations and variability in the p53 system
- PMID: 16773083
- PMCID: PMC1681500
- DOI: 10.1038/msb4100068
Oscillations and variability in the p53 system
Abstract
Understanding the dynamics and variability of protein circuitry requires accurate measurements in living cells as well as theoretical models. To address this, we employed one of the best-studied protein circuits in human cells, the negative feedback loop between the tumor suppressor p53 and the oncogene Mdm2. We measured the dynamics of fluorescently tagged p53 and Mdm2 over several days in individual living cells. We found that isogenic cells in the same environment behaved in highly variable ways following DNA-damaging gamma irradiation: some cells showed undamped oscillations for at least 3 days (more than 10 peaks). The amplitude of the oscillations was much more variable than the period. Sister cells continued to oscillate in a correlated way after cell division, but lost correlation after about 11 h on average. Other cells showed low-frequency fluctuations that did not resemble oscillations. We also analyzed different families of mathematical models of the system, including a novel checkpoint mechanism. The models point to the possible source of the variability in the oscillations: low-frequency noise in protein production rates, rather than noise in other parameters such as degradation rates. This study provides a view of the extensive variability of the behavior of a protein circuit in living human cells, both from cell to cell and in the same cell over time.
Figures
Comment in
-
Another turn for p53.Mol Syst Biol. 2006;2:2006.0032. doi: 10.1038/msb4100060. Epub 2006 Jun 13. Mol Syst Biol. 2006. PMID: 16773082 Free PMC article. No abstract available.
References
-
- Alon U (2003) Biological networks: the tinkerer as an engineer. Science 301: 1866–1867 - PubMed
-
- Alon U (2006) An Introduction to Systems Biology: Design Principles of Biological Circuits. London, UK: CRC Press
-
- Alon U, Surette MG, Barkai N, Leibler S (1999) Robustness in bacterial chemotaxis. Nature 397: 168–171 - PubMed
-
- Bakkenist CJ, Kastan MB (2003) DNA damage activates ATM through intermolecular autophosphorylation and dimer dissociation. Nature 421: 499–506 - PubMed
-
- Banin S, Moyal L, Shieh S, Taya Y, Anderson CW, Chessa L, Smorodinsky NI, Prives C, Reiss Y, Shiloh Y, Ziv Y (1998) Enhanced phosphorylation of p53 by ATM in response to DNA damage. Science 281: 1674–1677 - PubMed
Publication types
MeSH terms
Substances
LinkOut - more resources
Full Text Sources
Molecular Biology Databases
Research Materials
Miscellaneous
