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Schwab JD, Siegle L, Kühlwein SD, et al. Stability of Signaling Pathways during Aging-A Boolean Network Approach. Biology (Basel). 2017;6(4)doi: 10.3390/biology6040046.
Schwab, J. D., Siegle, L., Kühlwein, S. D., Kühl, M., & Kestler, H. A. (2017). Stability of Signaling Pathways during Aging-A Boolean Network Approach. Biology, 6(4), . https://doi.org/10.3390/biology6040046
Schwab, Julian Daniel, et al. "Stability of Signaling Pathways during Aging-A Boolean Network Approach." Biology vol. 6,4 (2017). doi: https://doi.org/10.3390/biology6040046
Schwab JD, Siegle L, Kühlwein SD, Kühl M, Kestler HA. Stability of Signaling Pathways during Aging-A Boolean Network Approach. Biology (Basel). 2017 Dec 18;6(4). doi: 10.3390/biology6040046. PMID: 29258225; PMCID: PMC5745451.
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Biology (Basel). 2017 Dec 18;6(4). doi: 10.3390/biology6040046.

Stability of Signaling Pathways during Aging-A Boolean Network Approach.

Biology

Julian Daniel Schwab, Lea Siegle, Silke Daniela Kühlwein, Michael Kühl, Hans Armin Kestler

Affiliations

  1. Institute of Medical Systems Biology, Ulm University, 89069 Ulm, Germany. [email protected].
  2. International Graduate School of Molecular Medicine, Ulm University, 89069 Ulm, Germany. [email protected].
  3. Institute of Medical Systems Biology, Ulm University, 89069 Ulm, Germany. [email protected].
  4. International Graduate School of Molecular Medicine, Ulm University, 89069 Ulm, Germany. [email protected].
  5. Institute of Medical Systems Biology, Ulm University, 89069 Ulm, Germany. [email protected].
  6. International Graduate School of Molecular Medicine, Ulm University, 89069 Ulm, Germany. [email protected].
  7. Institute of Biochemistry and Molecular Biology, Ulm University, 89069 Ulm, Germany. [email protected].
  8. Institute of Medical Systems Biology, Ulm University, 89069 Ulm, Germany. [email protected].

PMID: 29258225 PMCID: PMC5745451 DOI: 10.3390/biology6040046

Abstract

Biological pathways are thought to be robust against a variety of internal and external perturbations. Fail-safe mechanisms allow for compensation of perturbations to maintain the characteristic function of a pathway. Pathways can undergo changes during aging, which may lead to changes in their stability. Less stable or less robust pathways may be consequential to or increase the susceptibility of the development of diseases. Among others, NF- κ B signaling is a crucial pathway in the process of aging. The NF- κ B system is involved in the immune response and dealing with various internal and external stresses. Boolean networks as models of biological pathways allow for simulation of signaling behavior. They can help to identify which proposed mechanisms are biologically representative and which ones function but do not mirror physical processes-for instance, changes of signaling pathways during the aging process. Boolean networks can be inferred from time-series of gene expression data. This allows us to get insights into the changes of behavior of pathways such as NF- κ B signaling in aged organisms in comparison to young ones.

Keywords: Boolean networks; aging; reconstruction; stability

Conflict of interest statement

The authors declare no conflict of interest.

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