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Calculation of Single Cell Assimilation Rates From SIP-NanoSIMS-Derived Isotope Ratios: A Comprehensive Approach

机译:从SIP-NanoSIMS得出的同位素比计算单细胞同化率:一种综合方法

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摘要

The nanoSIMS-based chemical microscopy has been introduced in biology over a decade ago. The spatial distribution of elements and isotopes analyzed by nanoSIMS can be used to reconstruct images of biological samples with a resolution down to tens of nanometers, and can be also interpreted quantitatively. Currently, a unified approach for calculation of single cell assimilation rates from nanoSIMS-derived changes in isotope ratios is missing. Here we present a comprehensive concept of assimilation rate calculation with a rigorous mathematical model based on quantitative evaluation of nanoSIMS-derived isotope ratios. We provide a detailed description of data acquisition and treatment, including the selection and accumulation of nanoSIMS scans, defining regions of interest and extraction of isotope ratios. Next, we present alternative methods to determine the cellular volume and the density of the element under scrutiny. Finally, to compensate for alterations of original isotopic ratios, our model considers corrections for sample preparation methods (e.g., air dry, chemical fixation, permeabilization, hybridization), and when known, for the stable isotope fractionation associated with utilization of defined growth substrates. As proof of concept we implemented this protocol to quantify the assimilation of 13C-labeled glucose by single cells of Pseudomonas putida. In addition, we provide a calculation template where all protocol-derived formulas are directly available to facilitate routine assimilation rate calculations by nanoSIMS users.
机译:基于nanoSIMS的化学显微镜已于十年前引入生物学。通过nanoSIMS分析的元素和同位素的空间分布可用于重建分辨率低至数十纳米的生物样品图像,也可进行定量解释。当前,缺少从nanoSIMS派生的同位素比率变化计算单细胞同化率的统一方法。在这里,我们提出了一个严格的数学模型,基于对nanoSIMS衍生的同位素比率的定量评估,得出了同化率计算的综合概念。我们提供了有关数据采集和处理的详细说明,包括nanoSIMS扫描的选择和积累,定义感兴趣的区域以及同位素比的提取。接下来,我们提出了替代的方法来确定细胞的体积和受审查的元素的密度。最后,为了补偿原始同位素比率的变化,我们的模型考虑了对样品制备方法(例如风干,化学固定,透化,杂交)的校正,以及在已知的情况下与利用确定的生长底物相关的稳定同位素分级的校正。作为概念验证,我们实施了该协议以量化恶臭假单胞菌单个细胞对 13 C标记的葡萄糖的同化作用。此外,我们提供了一个计算模板,可直接使用所有协议派生的公式,以方便nanoSIMS用户的常规同化率计算。

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