Predicting the regulation of circadian rhythms by RNA methylation

12 Jul. 2018, 11:30 am
30m
New Law School---026 (University of Sydney)

New Law School---026

University of Sydney

100
Oral Presentation Minisymposium: Multi-scale modelling of sleep and circadian systems Multiscale modelling of sleep and circadian systems

Speaker

Dr Gen Kurosawa (Theoretical Biology Laboratory, RIKEN, and CREST, JST, Japan)

Description

Eating behaviour is known to influence our sleep-wake cycle, and the mechanism remains elusive. We have focused on RNA methylation that possibly connect metabolic and circadian systems. Recently, RNA methylation inhibition was found to elongate circadian period by as-yet-unknown mechanism. Since the regulatory network for circadian rhythm has been studied well, modelling can be a powerful tool for predicting the mechanism. Our study aimed at predicting possible mechanisms by which RNA methylation regulates circadian rhythm using a computational model and also a simpler model [1]. To predict the mechanism, we used information from our experimental collaborators: (1) RNA methylation inhibition stabilizes enzymes, important for circadian rhythms, (2) there are many modification processes presumably activated by the enzymes. Based on experimental data, we predicted the most likely process that is activated by the enzymes and then by RNA methylation inhibition. The prediction was confirmed experimentally by our collaborators.

[1] Kurosawa et al. 2017 PLoS Comp Biol

Primary author

Dr Gen Kurosawa (Theoretical Biology Laboratory, RIKEN, and CREST, JST, Japan)

Co-authors

Shingo Gibo (RIKEN) Jean-Michel Fustin (Kyoto University) Hitoshi Okamura (Kyoto University)

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