» Articles » PMID: 23883471

Levels of Pro-apoptotic Regulator Bad and Anti-apoptotic Regulator Bcl-xL Determine the Type of the Apoptotic Logic Gate

Overview
Journal BMC Syst Biol
Publisher Biomed Central
Specialty Biology
Date 2013 Jul 26
PMID 23883471
Citations 15
Authors
Affiliations
Soon will be listed here.
Abstract

Background: Apoptosis is a tightly regulated process: cellular survive-or-die decisions cannot be accidental and must be unambiguous. Since the suicide program may be initiated in response to numerous stress stimuli, signals transmitted through a number of checkpoints have to be eventually integrated.

Results: In order to analyze possible mechanisms of the integration of multiple pro-apoptotic signals, we constructed a simple model of the Bcl-2 family regulatory module. The module collects upstream signals and processes them into life-or-death decisions by employing interactions between proteins from three subgroups of the Bcl-2 family: pro-apoptotic multidomain effectors, pro-survival multidomain restrainers, and pro-apoptotic single domain BH3-only proteins. Although the model is based on ordinary differential equations (ODEs), it demonstrates that the Bcl-2 family module behaves akin to a Boolean logic gate of the type dependent on levels of BH3-only proteins (represented by Bad) and restrainers (represented by Bcl-xL). A low level of pro-apoptotic Bad or a high level of pro-survival Bcl-xL implies gate AND, which allows for the initiation of apoptosis only when two stress stimuli are simultaneously present: the rise of the p53 killer level and dephosphorylation of kinase Akt. In turn, a high level of Bad or a low level of Bcl-xL implies gate OR, for which any of these stimuli suffices for apoptosis.

Conclusions: Our study sheds light on possible signal integration mechanisms in cells, and spans a bridge between modeling approaches based on ODEs and on Boolean logic. In the proposed scheme, logic gates switching results from the change of relative abundances of interacting proteins in response to signals and involves system bistability. Consequently, the regulatory system may process two analogous inputs into a digital survive-or-die decision.

Citing Articles

Identifying Bayesian optimal experiments for uncertain biochemical pathway models.

Isenberg N, Mertins S, Yoon B, Reyes K, Urban N Sci Rep. 2024; 14(1):15237.

PMID: 38956095 PMC: 11219779. DOI: 10.1038/s41598-024-65196-w.


Modeling of DNA Damage Repair and Cell Response in Relation to p53 System Exposed to Ionizing Radiation.

Hu A, Zhou W, Wu Z, Zhang H, Li J, Qiu R Int J Mol Sci. 2022; 23(19).

PMID: 36232625 PMC: 9569799. DOI: 10.3390/ijms231911323.


Capturing Biomarkers and Molecular Targets in Cellular Landscapes From Dynamic Reaction Network Models and Machine Learning.

Mertins S Front Oncol. 2022; 11:805592.

PMID: 35127516 PMC: 8813744. DOI: 10.3389/fonc.2021.805592.


Interactions of multidomain pro-apoptotic and anti-apoptotic proteins in cancer cell death.

Chota A, George B, Abrahamse H Oncotarget. 2021; 12(16):1615-1626.

PMID: 34381566 PMC: 8351602. DOI: 10.18632/oncotarget.28031.


The effect of docetaxel on survival, fertilization rate and apoptosis-related genes mRNA expression in mouse metaphase II oocytes following vitrification.

Khodabandeh Z, Jamhiri I, Dehghani N, Daneshpazhouh H, Namavar Jahromi B, Dianatpour M Iran J Vet Res. 2021; 22(1):40-47.

PMID: 34149855 PMC: 8195300. DOI: 10.22099/ijvr.2020.38128.5554.


References
1.
Guicciardi M, Gores G . Life and death by death receptors. FASEB J. 2009; 23(6):1625-37. PMC: 2698650. DOI: 10.1096/fj.08-111005. View

2.
Thornberry N, Lazebnik Y . Caspases: enemies within. Science. 1998; 281(5381):1312-6. DOI: 10.1126/science.281.5381.1312. View

3.
Toulany M, Baumann M, Rodemann H . Stimulated PI3K-AKT signaling mediated through ligand or radiation-induced EGFR depends indirectly, but not directly, on constitutive K-Ras activity. Mol Cancer Res. 2007; 5(8):863-72. DOI: 10.1158/1541-7786.MCR-06-0297. View

4.
Kandel E, Hay N . The regulation and activities of the multifunctional serine/threonine kinase Akt/PKB. Exp Cell Res. 1999; 253(1):210-29. DOI: 10.1006/excr.1999.4690. View

5.
Wee K, Surana U, Aguda B . Oscillations of the p53-Akt network: implications on cell survival and death. PLoS One. 2009; 4(2):e4407. PMC: 2634840. DOI: 10.1371/journal.pone.0004407. View