Literature DB >> 17616682

Quantitative assessment of the p53-Mdm2 feedback loop using protein lysate microarrays.

Sundhar Ramalingam1, Peter Honkanen, Lynn Young, Tsutomu Shimura, John Austin, Patricia S Steeg, Satoshi Nishizuka.   

Abstract

Mathematical simulations of the p53-Mdm2 feedback loop suggest that both proteins will exhibit impulsive expression characteristics in response to high cellular stress levels. However, little quantitative experimental evaluation has been done, particularly of the phosphorylated forms. To evaluate the mathematical models experimentally, we used lysate microarrays from an isogenic pair of gamma-ray-irradiated cell lysates from HCT116 (p53(+/+) and p53(-/-)). Both p53 and Mdm2 proteins showed expected pulses in the wild type, whereas no pulses were seen in the knockout. Based on experimental observations, we determined model parameters and generated an in silico "knockout," reflecting the experimental data, including phosphorylated proteins.

Entities:  

Mesh:

Substances:

Year:  2007        PMID: 17616682     DOI: 10.1158/0008-5472.CAN-07-0342

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  12 in total

1.  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

2.  Decision making of the p53 network: death by integration.

Authors:  Zhiyuan Li; Ming Ni; Jikun Li; Yuping Zhang; Qi Ouyang; Chao Tang
Journal:  J Theor Biol       Date:  2010-12-03       Impact factor: 2.691

3.  Coordination of the nuclear and cytoplasmic activities of p53 in response to DNA damage.

Authors:  Tian Pu; Xiao-Peng Zhang; Feng Liu; Wei Wang
Journal:  Biophys J       Date:  2010-09-22       Impact factor: 4.033

4.  Realizing the promise of reverse phase protein arrays for clinical, translational, and basic research: a workshop report: the RPPA (Reverse Phase Protein Array) society.

Authors:  Rehan Akbani; Karl-Friedrich Becker; Neil Carragher; Ted Goldstein; Leanne de Koning; Ulrike Korf; Lance Liotta; Gordon B Mills; Satoshi S Nishizuka; Michael Pawlak; Emanuel F Petricoin; Harvey B Pollard; Bryan Serrels; Jingchun Zhu
Journal:  Mol Cell Proteomics       Date:  2014-04-28       Impact factor: 5.911

5.  Predicted functions of MdmX in fine-tuning the response of p53 to DNA damage.

Authors:  Sohyoung Kim; Mirit I Aladjem; Geoffrey B McFadden; Kurt W Kohn
Journal:  PLoS Comput Biol       Date:  2010-02-05       Impact factor: 4.475

6.  Cell fate decision mediated by p53 pulses.

Authors:  Xiao-Peng Zhang; Feng Liu; Zhang Cheng; Wei Wang
Journal:  Proc Natl Acad Sci U S A       Date:  2009-07-15       Impact factor: 11.205

7.  A novel ataxia-telangiectasia mutated autoregulatory feedback mechanism in murine embryonic stem cells.

Authors:  Robert G Clyde; Ashley L Craig; Lucas de Breed; James L Bown; Leslie Forrester; Borivoj Vojtesek; Graeme Smith; Ted Hupp; John Crawford
Journal:  J R Soc Interface       Date:  2009-03-04       Impact factor: 4.118

8.  The PI-3 kinase-Akt-MDM2-survivin signaling axis in high-risk neuroblastoma: a target for PI-3 kinase inhibitor intervention.

Authors:  Susan K Peirce; Harry W Findley; Chengyu Prince; Anindya Dasgupta; Todd Cooper; Donald L Durden
Journal:  Cancer Chemother Pharmacol       Date:  2010-10-24       Impact factor: 3.333

9.  Explaining oscillations and variability in the p53-Mdm2 system.

Authors:  Carole J Proctor; Douglas A Gray
Journal:  BMC Syst Biol       Date:  2008-08-18

10.  Correlation between oncogenic mutations and parameter sensitivity of the apoptosis pathway model.

Authors:  Jia Chen; Haicen Yue; Qi Ouyang
Journal:  PLoS Comput Biol       Date:  2014-01-23       Impact factor: 4.475

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.