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Dynamic Modelling of Pathways to Cellular Senescence Reveals Strategies for Targeted Interventions

Overview of attention for article published in PLoS Computational Biology, August 2014
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Title
Dynamic Modelling of Pathways to Cellular Senescence Reveals Strategies for Targeted Interventions
Published in
PLoS Computational Biology, August 2014
DOI 10.1371/journal.pcbi.1003728
Pubmed ID
Authors

Piero Dalle Pezze, Glyn Nelson, Elsje G. Otten, Viktor I. Korolchuk, Thomas B. L. Kirkwood, Thomas von Zglinicki, Daryl P. Shanley

Abstract

Cellular senescence, a state of irreversible cell cycle arrest, is thought to help protect an organism from cancer, yet also contributes to ageing. The changes which occur in senescence are controlled by networks of multiple signalling and feedback pathways at the cellular level, and the interplay between these is difficult to predict and understand. To unravel the intrinsic challenges of understanding such a highly networked system, we have taken a systems biology approach to cellular senescence. We report a detailed analysis of senescence signalling via DNA damage, insulin-TOR, FoxO3a transcription factors, oxidative stress response, mitochondrial regulation and mitophagy. We show in silico and in vitro that inhibition of reactive oxygen species can prevent loss of mitochondrial membrane potential, whilst inhibition of mTOR shows a partial rescue of mitochondrial mass changes during establishment of senescence. Dual inhibition of ROS and mTOR in vitro confirmed computational model predictions that it was possible to further reduce senescence-induced mitochondrial dysfunction and DNA double-strand breaks. However, these interventions were unable to abrogate the senescence-induced mitochondrial dysfunction completely, and we identified decreased mitochondrial fission as the potential driving force for increased mitochondrial mass via prevention of mitophagy. Dynamic sensitivity analysis of the model showed the network stabilised at a new late state of cellular senescence. This was characterised by poor network sensitivity, high signalling noise, low cellular energy, high inflammation and permanent cell cycle arrest suggesting an unsatisfactory outcome for treatments aiming to delay or reverse cellular senescence at late time points. Combinatorial targeted interventions are therefore possible for intervening in the cellular pathway to senescence, but in the cases identified here, are only capable of delaying senescence onset.

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Geographical breakdown

Country Count As %
Portugal 1 <1%
Germany 1 <1%
France 1 <1%
Italy 1 <1%
Denmark 1 <1%
Unknown 169 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 32 18%
Researcher 32 18%
Student > Bachelor 23 13%
Student > Master 19 11%
Student > Doctoral Student 9 5%
Other 24 14%
Unknown 35 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 60 34%
Agricultural and Biological Sciences 28 16%
Medicine and Dentistry 10 6%
Engineering 5 3%
Neuroscience 4 2%
Other 26 15%
Unknown 41 24%