The Cell as a Decision-Making Unit

L. Castelli, R. Pesenti, D. Segrè
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引用次数: 4

Abstract

Each living cell needs to solve a resource allocation problem, in which multiple inputs (uptake fluxes) and outputs (secretion fluxes) are the outcome of the stoichiometry of biochemical pathways and the regulation of metabolic enzymes. Quantifying the efficiency with which a cell solves this resource allocation problem constitutes a basic question in “cellular economics.” In this letter, we propose the use of data envelopment analysis (DEA) to define multidimensional yields that can capture the multidimensional nature of cell input–output processes. The DEA, by treating cells as decision-making units, enables one to introduce the concept of efficiency frontier that is both intimately connected to the shadow prices of flux balance analysis and useful to estimate the phenotypic phase space from experimental measurements of fluxes.
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作为决策单位的细胞
每个活细胞都需要解决一个资源分配问题,其中多个输入(摄取通量)和输出(分泌通量)是生化途径的化学计量和代谢酶调节的结果。量化一个细胞解决资源分配问题的效率构成了“细胞经济学”中的一个基本问题。在这封信中,我们建议使用数据包络分析(DEA)来定义多维产量,可以捕获细胞输入输出过程的多维性质。DEA通过将细胞视为决策单位,使人们能够引入效率边界的概念,该概念既与通量平衡分析的影子价格密切相关,又有助于从通量的实验测量中估计表型相空间。
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