Attractor landscape analysis reveals feedback loops in the p53 network that control the cellular response to DNA damage - PubMed (original) (raw)
Attractor landscape analysis reveals feedback loops in the p53 network that control the cellular response to DNA damage
Minsoo Choi et al. Sci Signal. 2012.
Abstract
The protein p53 functions as a tumor suppressor and can trigger either cell cycle arrest or apoptosis in response to DNA damage. We used Boolean network modeling and attractor landscape analysis to analyze the state transition dynamics of a simplified p53 network for which particular combinations of activation states of the molecules corresponded to specific cellular outcomes. Our results identified five critical interactions in the network that determined the cellular response to DNA damage, and simulations lacking any of these interactions produced states associated with sustained p53 activity, which corresponded to a cell death response. Attractor landscape analysis of the cellular response to DNA damage of the breast cancer cell line MCF7 and the effect of the Mdm2 (murine double minute 2) inhibitor nutlin-3 indicated that nutlin-3 would exhibit limited efficacy in triggering cell death, because the cell death state was not induced to a large extent by simulations with nutlin-3 and instead produced a state consistent with oscillatory p53 dynamics and cell cycle arrest. Attractor landscape analysis also suggested that combining nutlin-3 with inhibition of Wip1 would synergize to stimulate a sustained increase in p53 activity and promote p53-mediated cell death. We validated this synergistic effect in stimulating p53 activity and triggering cell death with single-cell imaging of a fluorescent p53 reporter in MCF7 cells. Thus, attractor landscape analysis of p53 network dynamics and its regulation can identify potential therapeutic strategies for treating cancer.
Comment in
- Therapeutic hints from analyzing the attractor landscape of the p53 regulatory circuit.
Wang W. Wang W. Sci Signal. 2013 Feb 5;6(261):pe5. doi: 10.1126/scisignal.2003820. Sci Signal. 2013. PMID: 23386744
Similar articles
- Therapeutic hints from analyzing the attractor landscape of the p53 regulatory circuit.
Wang W. Wang W. Sci Signal. 2013 Feb 5;6(261):pe5. doi: 10.1126/scisignal.2003820. Sci Signal. 2013. PMID: 23386744 - Cooperation of Nutlin-3a and a Wip1 inhibitor to induce p53 activity.
Sriraman A, Radovanovic M, Wienken M, Najafova Z, Li Y, Dobbelstein M. Sriraman A, et al. Oncotarget. 2016 May 31;7(22):31623-38. doi: 10.18632/oncotarget.9302. Oncotarget. 2016. PMID: 27183917 Free PMC article. - Inhibition of WIP1 phosphatase sensitizes breast cancer cells to genotoxic stress and to MDM2 antagonist nutlin-3.
Pechackova S, Burdova K, Benada J, Kleiblova P, Jenikova G, Macurek L. Pechackova S, et al. Oncotarget. 2016 Mar 22;7(12):14458-75. doi: 10.18632/oncotarget.7363. Oncotarget. 2016. PMID: 26883108 Free PMC article. - Oscillations by the p53-Mdm2 feedback loop.
Lahav G. Lahav G. Adv Exp Med Biol. 2008;641:28-38. doi: 10.1007/978-0-387-09794-7_2. Adv Exp Med Biol. 2008. PMID: 18783169 Review. - Wip1 phosphatase: between p53 and MAPK kinases pathways.
Goloudina AR, Kochetkova EY, Pospelova TV, Demidov ON. Goloudina AR, et al. Oncotarget. 2016 May 24;7(21):31563-71. doi: 10.18632/oncotarget.7325. Oncotarget. 2016. PMID: 26883196 Free PMC article. Review.
Cited by
- Single Cell Transcriptomics to Understand HSC Heterogeneity and Its Evolution upon Aging.
Hérault L, Poplineau M, Remy E, Duprez E. Hérault L, et al. Cells. 2022 Oct 4;11(19):3125. doi: 10.3390/cells11193125. Cells. 2022. PMID: 36231086 Free PMC article. Review. - Quantitative phosphoproteomics reveals crosstalk between phosphorylation and O-GlcNAc in the DNA damage response pathway.
Zhong J, Martinez M, Sengupta S, Lee A, Wu X, Chaerkady R, Chatterjee A, O'Meally RN, Cole RN, Pandey A, Zachara NE. Zhong J, et al. Proteomics. 2015 Jan;15(2-3):591-607. doi: 10.1002/pmic.201400339. Proteomics. 2015. PMID: 25263469 Free PMC article. - Population Heterogeneity in the Epithelial to Mesenchymal Transition Is Controlled by NFAT and Phosphorylated Sp1.
Gould R, Bassen DM, Chakrabarti A, Varner JD, Butcher J. Gould R, et al. PLoS Comput Biol. 2016 Dec 27;12(12):e1005251. doi: 10.1371/journal.pcbi.1005251. eCollection 2016 Dec. PLoS Comput Biol. 2016. PMID: 28027307 Free PMC article. - Towards verifiable cancer digital twins: tissue level modeling protocol for precision medicine.
Kemkar S, Tao M, Ghosh A, Stamatakos G, Graf N, Poorey K, Balakrishnan U, Trask N, Radhakrishnan R. Kemkar S, et al. Front Physiol. 2024 Oct 23;15:1473125. doi: 10.3389/fphys.2024.1473125. eCollection 2024. Front Physiol. 2024. PMID: 39507514 Free PMC article. Review. - A generalizable data-driven multicellular model of pancreatic ductal adenocarcinoma.
Aguilar B, Gibbs DL, Reiss DJ, McConnell M, Danziger SA, Dervan A, Trotter M, Bassett D, Hershberg R, Ratushny AV, Shmulevich I. Aguilar B, et al. Gigascience. 2020 Jul 1;9(7):giaa075. doi: 10.1093/gigascience/giaa075. Gigascience. 2020. PMID: 32696951 Free PMC article.
Publication types
MeSH terms
Substances
LinkOut - more resources
Full Text Sources
Research Materials
Miscellaneous