A model of the onset of the senescence associated secretory phenotype after DNA damage induced senescence
Autor: | Karmveer Singh, Andre Burkovski, Pallab Maity, Thomas Wirth, Meinhard Wlaschek, Patrick Meyer, Filipa F. Ferreira, Karin Scharffetter-Kochanek, Linda Krug, Christoph Müssel, Julian D. Schwab, Hans A. Kestler, Harald J. Maier |
---|---|
Jazyk: | angličtina |
Rok vydání: | 2017 |
Předmět: |
0301 basic medicine
Aging Physiology Regulator Gene regulatory network Gene Expression Biochemistry Mice Animal Cells Medicine and Health Sciences Biochemical Simulations Cell Cycle and Cell Division Biology (General) Cells Cultured Cellular Senescence Connective Tissue Cells Ecology 3. Good health Cell biology Nucleic acids Computational Theory and Mathematics Cell Processes Connective Tissue Modeling and Simulation Cellular Types Anatomy Network Analysis Research Article Signal Transduction Senescence Computer and Information Sciences QH301-705.5 DNA damage Biology Models Biological 03 medical and health sciences Cellular and Molecular Neuroscience Gene interaction Genetics Animals Gene Regulation Computer Simulation Molecular Biology Transcription factor Ecology Evolution Behavior and Systematics Gene knockout Secretion Biology and life sciences Interleukin-6 fungi Interleukin-8 Computational Biology DNA Cell Biology Fibroblasts NFKB1 030104 developmental biology Biological Tissue Physiological Processes Organism Development Developmental Biology |
Zdroj: | PLoS Computational Biology PLoS Computational Biology, Vol 13, Iss 12, p e1005741 (2017) |
ISSN: | 1553-7358 1553-734X |
Popis: | Cells and tissues are exposed to stress from numerous sources. Senescence is a protective mechanism that prevents malignant tissue changes and constitutes a fundamental mechanism of aging. It can be accompanied by a senescence associated secretory phenotype (SASP) that causes chronic inflammation. We present a Boolean network model-based gene regulatory network of the SASP, incorporating published gene interaction data. The simulation results describe current biological knowledge. The model predicts different in-silico knockouts that prevent key SASP-mediators, IL-6 and IL-8, from getting activated upon DNA damage. The NF-κB Essential Modulator (NEMO) was the most promising in-silico knockout candidate and we were able to show its importance in the inhibition of IL-6 and IL-8 following DNA-damage in murine dermal fibroblasts in-vitro. We strengthen the speculated regulator function of the NF-κB signaling pathway in the onset and maintenance of the SASP using in-silico and in-vitro approaches. We were able to mechanistically show, that DNA damage mediated SASP triggering of IL-6 and IL-8 is mainly relayed through NF-κB, giving access to possible therapy targets for SASP-accompanied diseases. Author summary The senescence associated secretory phenotype is developed by cells undergoing permanent cell cycle arrest. This phenotype is characterized by the secretion of a variety of factors that facilitate tissue breakdown and inflammation and is therefore theorized to, in part, be causal for aging and age-related diseases. In recent years the SASP has been implicated in a variety of chronic inflammatory diseases. Due to these advances, it is imperative to better understand the dynamics of this cellular phenotype and to find ways to disrupt it. We have developed a Boolean network incorporating the major signaling pathways of the SASP that allows us to specifically investigate interactions of the pathways and genes involved. We validated our model by reliably reproducing published data on the SASP. We utilized our model to uncover components that directly control the detrimental effects of the senescence associated secretory phenotype that are largely caused by IL-6 and IL-8, two major factors of the SASP in establishing and spreading senescence as well as causing local inflammation. In subsequent in-vitro experiments, we were able to verify our computational results and could suggest NEMO as one potential target for therapy of SASP-related diseases. |
Databáze: | OpenAIRE |
Externí odkaz: |