Literature DB >> 19360021

The ups and downs of p53: understanding protein dynamics in single cells.

Eric Batchelor1, Alexander Loewer, Galit Lahav.   

Abstract

Cells living in a complex environment must constantly detect, process and appropriately respond to changing signals. Therefore, all cellular information processing is dynamic in nature. As a consequence, understanding the process of signal transduction often requires detailed quantitative analysis of dynamic behaviours. Here, we focus on the oscillatory dynamics of the tumour suppressor protein p53 as a model for studying protein dynamics in single cells to better understand its regulation and function.

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Year:  2009        PMID: 19360021      PMCID: PMC2892289          DOI: 10.1038/nrc2604

Source DB:  PubMed          Journal:  Nat Rev Cancer        ISSN: 1474-175X            Impact factor:   60.716


  65 in total

1.  Wip1 phosphatase modulates ATM-dependent signaling pathways.

Authors:  Sathyavageeswaran Shreeram; Oleg N Demidov; Weng Kee Hee; Hiroshi Yamaguchi; Nobuyuki Onishi; Calvina Kek; Oleg N Timofeev; Crissy Dudgeon; Albert J Fornace; Carl W Anderson; Yasuhiro Minami; Ettore Appella; Dmitry V Bulavin
Journal:  Mol Cell       Date:  2006-09-01       Impact factor: 17.970

Review 2.  The strength of indecisiveness: oscillatory behavior for better cell fate determination.

Authors:  Galit Lahav
Journal:  Sci STKE       Date:  2004-12-21

3.  Oscillations in transcription factor dynamics: a new way to control gene expression.

Authors:  D E Nelson; V Sée; G Nelson; M R H White
Journal:  Biochem Soc Trans       Date:  2004-12       Impact factor: 5.407

4.  A single nucleotide polymorphism in the MDM2 gene disrupts the oscillation of p53 and MDM2 levels in cells.

Authors:  Wenwei Hu; Zhaohui Feng; Lan Ma; John Wagner; J Jeremy Rice; Gustavo Stolovitzky; Arnold J Levine
Journal:  Cancer Res       Date:  2007-03-15       Impact factor: 12.701

Review 5.  Is there a code embedded in proteins that is based on post-translational modifications?

Authors:  Robert J Sims; Danny Reinberg
Journal:  Nat Rev Mol Cell Biol       Date:  2008-09-11       Impact factor: 94.444

Review 6.  Limit cycle models for circadian rhythms based on transcriptional regulation in Drosophila and Neurospora.

Authors:  J C Leloup; D Gonze; A Goldbeter
Journal:  J Biol Rhythms       Date:  1999-12       Impact factor: 3.182

7.  Lack of association between the MDM2-SNP309 polymorphism and breast cancer risk.

Authors:  Aslihan Petenkaya; Betul Bozkurt; Ozlem Akilli-Ozturk; Hatice Seda Kaya; Bala Gur-Dedeoglu; Isik G Yulug
Journal:  Anticancer Res       Date:  2006 Nov-Dec       Impact factor: 2.480

8.  Rapid ATM-dependent phosphorylation of MDM2 precedes p53 accumulation in response to DNA damage.

Authors:  R Khosravi; R Maya; T Gottlieb; M Oren; Y Shiloh; D Shkedy
Journal:  Proc Natl Acad Sci U S A       Date:  1999-12-21       Impact factor: 11.205

9.  Ataxia telangiectasia-mutated phosphorylates Chk2 in vivo and in vitro.

Authors:  S Matsuoka; G Rotman; A Ogawa; Y Shiloh; K Tamai; S J Elledge
Journal:  Proc Natl Acad Sci U S A       Date:  2000-09-12       Impact factor: 11.205

10.  Frequency-modulated nuclear localization bursts coordinate gene regulation.

Authors:  Long Cai; Chiraj K Dalal; Michael B Elowitz
Journal:  Nature       Date:  2008-09-25       Impact factor: 49.962

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  86 in total

1.  The role of mRNA decay in p53-induced gene expression.

Authors:  Brian D Melanson; Reetesh Bose; Jeff D Hamill; Kristen A Marcellus; Elysia F Pan; Bruce C McKay
Journal:  RNA       Date:  2011-10-21       Impact factor: 4.942

2.  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 3.  Centrosomes in the DNA damage response--the hub outside the centre.

Authors:  Lisa I Mullee; Ciaran G Morrison
Journal:  Chromosome Res       Date:  2016-01       Impact factor: 5.239

4.  Human umbilical cord blood-derived mesenchymal stem cells undergo cellular senescence in response to oxidative stress.

Authors:  Eun Ko; Kyung Yong Lee; Deog Su Hwang
Journal:  Stem Cells Dev       Date:  2011-12-23       Impact factor: 3.272

5.  Design principles of cell circuits with paradoxical components.

Authors:  Yuval Hart; Yaron E Antebi; Avraham E Mayo; Nir Friedman; Uri Alon
Journal:  Proc Natl Acad Sci U S A       Date:  2012-05-04       Impact factor: 11.205

Review 6.  The regulation of the p53-mediated stress response by MDM2 and MDM4.

Authors:  Mary Ellen Perry
Journal:  Cold Spring Harb Perspect Biol       Date:  2010-01       Impact factor: 10.005

Review 7.  Computational analysis of signaling patterns in single cells.

Authors:  Denise M Davis; Jeremy E Purvis
Journal:  Semin Cell Dev Biol       Date:  2014-09-26       Impact factor: 7.727

8.  On the interaction mechanisms of a p53 peptide and nutlin with the MDM2 and MDMX proteins: a Brownian dynamics study.

Authors:  Karim M ElSawy; Chandra S Verma; Thomas L Joseph; David P Lane; Reidun Twarock; Leo S D Caves
Journal:  Cell Cycle       Date:  2013-01-16       Impact factor: 4.534

9.  IL-1Ra protects hematopoietic cells from chemotoxicity through p53-induced quiescence.

Authors:  Hao Ye; Lan Qian; Shunying Zhu; Shaorong Deng; Xia Wang; Jiang Zhu; Gerald L Chan; Yan Yu; Wei Han
Journal:  FASEB J       Date:  2019-08-05       Impact factor: 5.191

10.  Statistical model comparison applied to common network motifs.

Authors:  Núria Domedel-Puig; Iosifina Pournara; Lorenz Wernisch
Journal:  BMC Syst Biol       Date:  2010-03-03
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