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Mathematical Modeling and Analysis of Mitochondrial Retrograde Signaling Dynamics

Shao-Ting Chiu, Wen-Wei Tseng, View ORCID ProfileAn-Chi Wei
doi: https://doi.org/10.1101/2021.03.27.437239
Shao-Ting Chiu
1Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei, Taiwan
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Wen-Wei Tseng
1Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei, Taiwan
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An-Chi Wei
1Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei, Taiwan
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  • ORCID record for An-Chi Wei
  • For correspondence: acwei86@ntu.edu.tw
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Abstract

Mitochondria, semi-autonomous eukaryotic organelles, participate in energy production and metabolism, making mitochondrial quality control crucial. As most mitochondrial proteins are encoded by nuclear genes, quality control depends on proper mitochondria-nucleus communication, designated mitochondrial retrograde signaling. Early studies focused on retrograde signaling participants and specific gene knockouts. However, mitochondrial signal modulation remains elusive. Using yeast, we simulated signal propagation following mitochondrial damage and proposed a mathematical model based ordinary differential equations. Mitochondrial retrograde signaling decisions were described using a Boolean model. Dynamics were analyzed through an ordinary differential equation-based model and extended to evaluate the model response to noisy damage signals. Simulation revealed localized protein concentration dynamics, including waveforms, frequency response, and robustness under noise. Retrograde signaling is bistable with three localized steady states, and increased damage compromises robustness. We elucidated mitochondrial retrograde signaling, thus providing a basis for drug design against yeast and fungi.

Author Summary The yeast RTG pathway regulates mitochondrial metabolism and mitochondrial quality through passing mitochondrial signal to the nucleus to modulate gene expressions. Using microscopic data of RTG proteins translocation from cytosol to nucleus, the parameters were found by fitting 16 knockout conditions simulated from the proposed differential equation-based model. Further, through dose response, ultrasensitivity, frequency response and noise interference, we demonstrated a switch-like property of RTG pathway activation, a capacity charging property of RTG protein translocation, a low pass filter property of signals in different frequencies, and noise amplification due to mitochondrial signal. The proposed mathematical model enables us to understand the dynamics and mechanisms in mitochondrial retrograde signaling in yeast and provides potential antifungal treatment strategies.

Competing Interest Statement

The authors have declared no competing interest.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.
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Posted May 15, 2021.
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Mathematical Modeling and Analysis of Mitochondrial Retrograde Signaling Dynamics
Shao-Ting Chiu, Wen-Wei Tseng, An-Chi Wei
bioRxiv 2021.03.27.437239; doi: https://doi.org/10.1101/2021.03.27.437239
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Mathematical Modeling and Analysis of Mitochondrial Retrograde Signaling Dynamics
Shao-Ting Chiu, Wen-Wei Tseng, An-Chi Wei
bioRxiv 2021.03.27.437239; doi: https://doi.org/10.1101/2021.03.27.437239

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