TY - JOUR
T1 - Oscillations and variability in the p53 system
AU - Geva-Zatorsky, Naama
AU - Rosenfeld, Nitzan
AU - Itzkovitz, Shalev
AU - Milo, Ron
AU - Sigal, Alex
AU - Dekel, Erez
AU - Yarnitzky, Talia
AU - Liron, Yuvalal
AU - Polak, Paz
AU - Lahav, Galit
AU - Alon, Uri
PY - 2006/5/16
Y1 - 2006/5/16
N2 - 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 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 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.
AB - 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 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 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.
KW - Cancer genetics
KW - Fluorescence microscopy
KW - Quantitative biology
KW - Systems biology
UR - https://www.scopus.com/pages/publications/33745451921
U2 - 10.1038/msb4100068
DO - 10.1038/msb4100068
M3 - ???researchoutput.researchoutputtypes.contributiontojournal.article???
C2 - 16773083
AN - SCOPUS:33745451921
SN - 1744-4292
VL - 2
SP - 13P
JO - Molecular Systems Biology
JF - Molecular Systems Biology
M1 - msb4100068
ER -