A model of the onset of the senescence associated secretory phenotype after DNA damage induced senescence.
Patrick MeyerPallab MaityAndre BurkovskiJulian SchwabChristoph MüsselKarmveer SinghFilipa F FerreiraLinda KrugHarald J MaierMeinhard WlaschekThomas WirthHans Armin KestlerKarin Scharffetter-KochanekPublished in: PLoS computational biology (2017)
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.
Keyphrases
- dna damage
- oxidative stress
- signaling pathway
- dna repair
- induced apoptosis
- pi k akt
- diabetic rats
- molecular docking
- lps induced
- endothelial cells
- stress induced
- healthcare
- epithelial mesenchymal transition
- mesenchymal stem cells
- dna methylation
- immune response
- machine learning
- systematic review
- transcription factor
- toll like receptor
- cell death
- big data
- high glucose
- smoking cessation
- data analysis
- wild type