Knowledge Systematization for Cellular Senescence Processes by Homeostasis Imbalance Process Ontology Yuki Yamagata 1 2 3 Shuichi Onami 1 2 3 Hiroshi Masuya 0 2 3 RIKEN BioResource Research Center , Kouyadai 3-1-1 Tsukuba, Ibaraki 305-0074 Japan RIKEN Center for Biosystems Dynamics Research , 2-2-3 Minatojima-minamimachi, Chuo-ku, Kobe 650-0047 , Japan RIKEN Information R&D and Strategy Headquarters , 2-2-3 Minatojima-minamimachi, Chuo-ku, Kobe 650-0047 , Japan [1] Yamagata et al. Homeostasis Imbalance Process Ontology: a Study on COVID-19 Infectious Processes , VDOS-2021, 2021. [2] Waddington, C. H. (2014). The strategy of the genes. Routledge

In the science of aging, controlling cellular senescence attracts increasing attention. This study focuses on cellular senescence and systematizes knowledge by developing the homeostasis imbalance process ontology (HoIP). We uniformly represent a series of processes related to cellular senescence as an imbalance between stress and its response. Moreover, we show how cellular senescence brings benefits and deleterious effects in the embryonic, acute, and chronic course.

 1 cellular senescence homeostasis imbalance process ontology knowledge systematization 1. Introduction

Cellular senescence is a crucial factor in aging. This abstract introduces an organization of knowledge concerning the processes of cellular senescence. We have developed a homeostasis imbalance process ontology (HoIP) (https://bioportal.bioontology.org/ontologies/HO IP) [1]. We report the representation of the course of cellular senescence in HoIP.

 3. Discussion

This study shows that cellular senescence benefits the embryonic and acute course via the homeostatic imbalance. Especially in embryos, the homeostatic imbalance might lead to dynamic equilibrium, i.e., homeorhesis [2]. This framework also highlights the fact that chronic cellular senescence has deleterious tissue effects. HoIP will aid in understanding the fundamental mechanisms of cellular senescence.

 4. Acknowledgements

This work was supported by JSPS KAKENHI Grant Number JP22K17959 and the RIKEN Open Life Science Platform Project.

 5. References