Literature DB >> 14730303

Dynamics of the p53-Mdm2 feedback loop in individual cells.

Galit Lahav1, Nitzan Rosenfeld, Alex Sigal, Naama Geva-Zatorsky, Arnold J Levine, Michael B Elowitz, Uri Alon.   

Abstract

The tumor suppressor p53, one of the most intensely investigated proteins, is usually studied by experiments that are averaged over cell populations, potentially masking the dynamic behavior in individual cells. We present a system for following, in individual living cells, the dynamics of p53 and its negative regulator Mdm2 (refs. 1,4-7): this system uses functional p53-CFP and Mdm2-YFP fusion proteins and time-lapse fluorescence microscopy. We found that p53 was expressed in a series of discrete pulses after DNA damage. Genetically identical cells had different numbers of pulses: zero, one, two or more. The mean height and duration of each pulse were fixed and did not depend on the amount of DNA damage. The mean number of pulses, however, increased with DNA damage. This approach can be used to study other signaling systems and suggests that the p53-Mdm2 feedback loop generates a 'digital' clock that releases well-timed quanta of p53 until damage is repaired or the cell dies.

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Year:  2004        PMID: 14730303     DOI: 10.1038/ng1293

Source DB:  PubMed          Journal:  Nat Genet        ISSN: 1061-4036            Impact factor:   38.330


  384 in total

1.  Intercellular variation in signaling through the TGF-β pathway and its relation to cell density and cell cycle phase.

Authors:  Agata Zieba; Katerina Pardali; Ola Söderberg; Lena Lindbom; Erik Nyström; Aristidis Moustakas; Carl-Henrik Heldin; Ulf Landegren
Journal:  Mol Cell Proteomics       Date:  2012-03-22       Impact factor: 5.911

Review 2.  Transcription goes digital.

Authors:  Timothée Lionnet; Robert H Singer
Journal:  EMBO Rep       Date:  2012-04-02       Impact factor: 8.807

3.  Regulation of the DNA damage response by p53 cofactors.

Authors:  Xiao-Peng Zhang; Feng Liu; Wei Wang
Journal:  Biophys J       Date:  2012-05-15       Impact factor: 4.033

4.  Transcription factor oscillations induce differential gene expressions.

Authors:  Keng Boon Wee; Wee Kheng Yio; Uttam Surana; Keng Hwee Chiam
Journal:  Biophys J       Date:  2012-06-05       Impact factor: 4.033

5.  Coordination between cell cycle progression and cell fate decision by the p53 and E2F1 pathways in response to DNA damage.

Authors:  Xiao-Peng Zhang; Feng Liu; Wei Wang
Journal:  J Biol Chem       Date:  2010-08-04       Impact factor: 5.157

Review 6.  Measurement of single-cell dynamics.

Authors:  David G Spiller; Christopher D Wood; David A Rand; Michael R H White
Journal:  Nature       Date:  2010-06-10       Impact factor: 49.962

7.  Population robustness arising from cellular heterogeneity.

Authors:  Pawel Paszek; Sheila Ryan; Louise Ashall; Kate Sillitoe; Claire V Harper; David G Spiller; David A Rand; Michael R H White
Journal:  Proc Natl Acad Sci U S A       Date:  2010-06-07       Impact factor: 11.205

8.  Variability in G-protein-coupled signaling studied with microfluidic devices.

Authors:  Xiaoyan Robert Bao; Iain D C Fraser; Estelle A Wall; Stephen R Quake; Melvin I Simon
Journal:  Biophys J       Date:  2010-10-20       Impact factor: 4.033

9.  Global Inhibition with Specific Activation: How p53 and MYC Redistribute the Transcriptome in the DNA Double-Strand Break Response.

Authors:  Joshua R Porter; Brian E Fisher; Laura Baranello; Julia C Liu; Diane M Kambach; Zuqin Nie; Woo Seuk Koh; Ji Luo; Jayne M Stommel; David Levens; Eric Batchelor
Journal:  Mol Cell       Date:  2017-08-31       Impact factor: 17.970

10.  Msn2 coordinates a stoichiometric gene expression program.

Authors:  Jacob Stewart-Ornstein; Christopher Nelson; Joe DeRisi; Jonathan S Weissman; Hana El-Samad
Journal:  Curr Biol       Date:  2013-11-07       Impact factor: 10.834

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