Stability of Signaling Pathways during Aging—A Boolean Network Approach
Institute of Medical Systems Biology, Ulm University, 89069 Ulm, Germany
International Graduate School of Molecular Medicine, Ulm University, 89069 Ulm, Germany
Institute of Biochemistry and Molecular Biology, Ulm University, 89069 Ulm, Germany
These authors contributed equally to this work.
Author to whom correspondence should be addressed.
Academic Editor: Holger Fröhlich
Received: 31 October 2017 / Revised: 10 December 2017 / Accepted: 14 December 2017 / Published: 18 December 2017
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-
B signaling is a crucial pathway in the process of aging. The NF-
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-
B signaling in aged organisms in comparison to young ones.
This is an open access article distributed under the Creative Commons Attribution License
which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
Share & Cite This Article
MDPI and ACS Style
Schwab, J.D.; Siegle, L.; Kühlwein, S.D.; Kühl, M.; Kestler, H.A. Stability of Signaling Pathways during Aging—A Boolean Network Approach. Biology 2017, 6, 46.
Schwab JD, Siegle L, Kühlwein SD, Kühl M, Kestler HA. Stability of Signaling Pathways during Aging—A Boolean Network Approach. Biology. 2017; 6(4):46.
Schwab, Julian D.; Siegle, Lea; Kühlwein, Silke D.; Kühl, Michael; Kestler, Hans A. 2017. "Stability of Signaling Pathways during Aging—A Boolean Network Approach." Biology 6, no. 4: 46.
Show more citation formats
Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.
[Return to top]
For more information on the journal statistics, click here
Multiple requests from the same IP address are counted as one view.