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用于生物过程稳健调节的多细胞比例-积分-微分控制

Multicellular PID control for robust regulation of biological processes.

作者信息

Martinelli Vittoria, Fiore Davide, Salzano Davide, di Bernardo Mario

机构信息

Department of Mathematics and Applications, 'R. Caccioppoli' University of Naples Federico II Via Cintia Monte S.Angelo, Naples 80126, Italy.

SSM- School for Advanced Studies Via Mezzocannone 4, Naples 80138, Italy.

出版信息

J R Soc Interface. 2025 Jan;22(222):20240583. doi: 10.1098/rsif.2024.0583. Epub 2025 Jan 29.

DOI:10.1098/rsif.2024.0583
PMID:39876792
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11775662/
Abstract

This article presents the first implementation of a proportional-integral-derivative (PID) biomolecular controller within a consortium of different cell populations, aimed at robust regulation of biological processes. By leveraging the modularity and cooperative dynamics of multiple engineered cell populations, we develop a comprehensive analysis of the performance and robustness of P, PD, PI and PID control architectures. Our theoretical findings, validated through experiments using the BSim agent-based simulation platform for bacterial populations, demonstrate the robustness and effectiveness of our multicellular PID control strategy. This innovative approach addresses critical limitations in current control methods, offering significant potential for applications in metabolic engineering, therapeutic contexts and industrial biotechnology. Future work will focus on experimental validation and further refinement of the control models.

摘要

本文介绍了比例积分微分(PID)生物分子控制器在不同细胞群体联合体中的首次实现,旨在对生物过程进行稳健调节。通过利用多个工程细胞群体的模块化和协同动力学,我们对P、PD、PI和PID控制架构的性能和稳健性进行了全面分析。我们的理论发现通过使用基于BSim代理的细菌群体模拟平台进行的实验得到验证,证明了我们的多细胞PID控制策略的稳健性和有效性。这种创新方法解决了当前控制方法中的关键局限性,在代谢工程、治疗领域和工业生物技术应用方面具有巨大潜力。未来的工作将集中在控制模型的实验验证和进一步优化上。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0718/11775662/5a45f5d2f4c6/rsif.2024.0583.f004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0718/11775662/40ed3ded220d/rsif.2024.0583.f001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0718/11775662/fef8d748cc7d/rsif.2024.0583.f002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0718/11775662/f8beb1b73bd6/rsif.2024.0583.f003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0718/11775662/5a45f5d2f4c6/rsif.2024.0583.f004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0718/11775662/40ed3ded220d/rsif.2024.0583.f001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0718/11775662/fef8d748cc7d/rsif.2024.0583.f002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0718/11775662/f8beb1b73bd6/rsif.2024.0583.f003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0718/11775662/5a45f5d2f4c6/rsif.2024.0583.f004.jpg

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本文引用的文献

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Synthetic biology by controller design.基于控制器设计的合成生物学。
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Ratiometric control of cell phenotypes in monostrain microbial consortia.在单菌株微生物群落中对细胞表型进行比色控制。
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Chimeric Antigen Receptor T-Cells: An Overview of Concepts, Applications, Limitations, and Proposed Solutions.嵌合抗原受体T细胞:概念、应用、局限性及建议解决方案概述
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Resource-aware whole-cell model of division of labour in a microbial consortium for complex-substrate degradation.资源感知型微生物共混物分工整体细胞模型用于复杂基质降解。
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A hierarchy of biomolecular proportional-integral-derivative feedback controllers for robust perfect adaptation and dynamic performance.用于鲁棒完美适应和动态性能的生物分子比例-积分-微分反馈控制器层次结构。
Nat Commun. 2022 Apr 19;13(1):2119. doi: 10.1038/s41467-022-29640-7.
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Synthetic biology: a new frontier in food production.合成生物学:食品生产的新前沿。
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