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衰老的系统生物学

Systems Biology of Ageing.

作者信息

Chandrasegaran Sharmilla, Scanlan Rebekah L, Clark Peter, Pease Louise, Wordsworth James, Shanley Daryl P

机构信息

Ageing Research Laboratories, Bioscience Institute, Campus for Ageing and Vitality, Newcastle University, Newcastle upon Tyne, UK.

出版信息

Subcell Biochem. 2023;102:415-424. doi: 10.1007/978-3-031-21410-3_16.

Abstract

The ageing process is highly complex involving multiple processes operating at different biological levels. Systems Biology presents an approach using integrative computational and laboratory study that allows us to address such complexity. The approach relies on the computational analysis of knowledge and data to generate predictive models that may be validated with further laboratory experimentation. Our understanding of ageing is such that translational opportunities are within reach and systems biology offers a means to ensure that optimal decisions are made. We present an overview of the methods employed from bioinformatics and computational modelling and describe some of the insights into ageing that have been gained.

摘要

衰老过程极为复杂,涉及在不同生物水平上运作的多个过程。系统生物学提供了一种利用综合计算和实验室研究的方法,使我们能够应对这种复杂性。该方法依赖于对知识和数据的计算分析,以生成可通过进一步实验室实验验证的预测模型。我们对衰老的理解使转化机会触手可及,而系统生物学提供了一种手段来确保做出最佳决策。我们概述了生物信息学和计算建模所采用的方法,并描述了由此获得的一些关于衰老的见解。

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