Biosensor characterization: formal methods from the perspective of proteome fractions.

IF 2.5 Q2 BIOCHEMICAL RESEARCH METHODS Synthetic biology (Oxford, England) Pub Date : 2025-02-12 eCollection Date: 2025-01-01 DOI:10.1093/synbio/ysaf002
Nicolás A Vaccari, Dahlin Zevallos-Aliaga, Tom Peeters, Daniel G Guerra
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Abstract

Many studies characterize transcription factors and other regulatory elements to control gene expression in recombinant systems. However, most lack a formal approach to analyse the inherent and context-specific variations of these regulatory components. This study addresses this gap by establishing a formal framework from which convenient methods are inferred to characterize regulatory circuits. We modelled the bacterial cell as a collection of proteome fractions. Deriving the time-dependent proteome fraction, we obtained a general theorem that describes its change as a function of its expression fraction, a specific portion of the total biosynthesis flux of the cell. Formal deduction reveals that when the proteome fraction reaches a maximum, it becomes equivalent to its expression fraction. This equation enables the reliable measurement of the expression fraction through direct protein quantification. In addition, the experimental data demonstrate a linear correlation between protein production rate and specific growth rate over a significant time period. This suggests a constant expression fraction within this window. For an Isopropyl β- d-1-thiogalactopyranoside (IPTG) biosensor, in five cellular contexts, expression fractions determined by the maximum method and the slope method produced strikingly similar dose-response parameters when independently fit to a Hill function. Furthermore, by analysing two more biosensors, for mercury and cumate detection, we demonstrate that the slope method can be applied effectively to various systems. Therefore, the concepts presented here provide convenient methods for obtaining dose-response parameters, clearly defining the time interval of their validity and offering a framework for interpreting typical biosensor outputs in terms of bacterial physiology. Graphical Abstract Nutrients, transformed by the action of the Nutrient Fixators (purple arrow), are used at a rate of ρ for Protein biosynthesis. The total rate ρ is multiplied by expression fractions fR, fC, fH, and fQ to obtain the biosynthesis rate (black arrows) of each proteome fraction ΦR, ΦC, ΦH, ΦQ, respectively. In a graph of Growth rate versus Proteome Fraction Production Rate, a linear function (green lines) can be observed, and its slope is equal to the expression fraction at each condition.

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生物传感器表征:从蛋白质组分数角度的形式化方法。
许多研究描述了转录因子和其他调控元件来控制重组系统中的基因表达。然而,大多数缺乏一种正式的方法来分析这些监管成分的固有和具体情况的变化。本研究通过建立一个正式的框架来解决这一差距,从这个框架中推断出方便的方法来表征调节电路。我们将细菌细胞建模为蛋白质组的集合。通过推导时间依赖性蛋白质组分数,我们得到了一个一般定理,该定理将其变化描述为其表达分数的函数,表达分数是细胞总生物合成通量的特定部分。形式推导表明,当蛋白质组分数达到最大值时,蛋白质组分数与其表达分数相等。该方程可以通过直接蛋白定量可靠地测量表达分数。此外,实验数据表明,蛋白质产量与特定生长率在相当长的一段时间内呈线性相关。这表明在这个窗口内有一个恒定的表达式分数。对于异丙基β- d-1-硫代半乳糖苷(IPTG)生物传感器,在五种细胞环境中,当独立拟合Hill函数时,由最大值法和斜率法确定的表达分数产生了惊人相似的剂量-响应参数。此外,通过分析另外两种生物传感器,用于汞和醋酸盐检测,我们证明了斜率方法可以有效地应用于各种系统。因此,本文提出的概念为获得剂量-反应参数提供了方便的方法,明确定义了其有效性的时间间隔,并为从细菌生理学角度解释典型的生物传感器输出提供了一个框架。营养物质,通过营养固定物(紫色箭头)的作用转化,以ρ的速率用于蛋白质的生物合成。总速率ρ乘以表达分数fR, fC, fH和fQ,分别得到每个蛋白质组分数ΦR, ΦC, ΦH, ΦQ的生物合成速率(黑色箭头)。在生长率与蛋白质组分数产率的关系图中,可以观察到一个线性函数(绿线),其斜率等于每种条件下的表达分数。
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