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在使用PolyMID进行的稳定同位素示踪实验中校正自然存在的质量同位素异构体丰度。

Correcting for Naturally Occurring Mass Isotopologue Abundances in Stable-Isotope Tracing Experiments with PolyMID.

作者信息

Jeong Heesoo, Yu Yan, Johansson Henrik J, Schroeder Frank C, Lehtiö Janne, Vacanti Nathaniel M

机构信息

Division of Nutritional Sciences, Cornell University, Ithaca, NY 14853, USA.

Boyce Thompson Institute and Department of Chemistry and Chemical Biology, Cornell University, Ithaca, NY 14853, USA.

出版信息

Metabolites. 2021 May 12;11(5):310. doi: 10.3390/metabo11050310.

Abstract

Stable-isotope tracing is a method to measure intracellular metabolic pathway utilization by feeding a cellular system a stable-isotope-labeled tracer nutrient. The power of the method to resolve differential pathway utilization is derived from the enrichment of metabolites in heavy isotopes that are synthesized from the tracer nutrient. However, the readout is complicated by the presence of naturally occurring heavy isotopes that are not derived from the tracer nutrient. Herein we present an algorithm, and a tool that applies it (PolyMID-Correct, part of the PolyMID software package), to computationally remove the influence of naturally occurring heavy isotopes. The algorithm is applicable to stable-isotope tracing data collected on low- and high- mass resolution mass spectrometers. PolyMID-Correct is open source and available under an MIT license.

摘要

稳定同位素示踪是一种通过向细胞系统提供稳定同位素标记的示踪营养素来测量细胞内代谢途径利用情况的方法。该方法解析差异途径利用的能力源于示踪营养素合成的重同位素中代谢物的富集。然而,由于存在并非源自示踪营养素的天然存在的重同位素,使得读数变得复杂。在此,我们提出一种算法以及应用该算法的工具(PolyMID-Correct,PolyMID软件包的一部分),以通过计算消除天然存在的重同位素的影响。该算法适用于在低分辨率和高分辨率质谱仪上收集的稳定同位素示踪数据。PolyMID-Correct是开源的,可根据麻省理工学院许可获得。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/776b/8151723/6df2a141067a/metabolites-11-00310-g001.jpg

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