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13C 代谢通量分析:最佳同位素标记实验设计。

13C metabolic flux analysis: optimal design of isotopic labeling experiments.

机构信息

Department of Chemical and Biomolecular Engineering, Metabolic Engineering and Systems Biology Laboratory, University of Delaware, Newark, DE 19716, USA.

出版信息

Curr Opin Biotechnol. 2013 Dec;24(6):1116-21. doi: 10.1016/j.copbio.2013.02.003. Epub 2013 Feb 28.

Abstract

Measuring fluxes by 13C metabolic flux analysis (13C-MFA) has become a key activity in chemical and pharmaceutical biotechnology. Optimal design of isotopic labeling experiments is of central importance to 13C-MFA as it determines the precision with which fluxes can be estimated. Traditional methods for selecting isotopic tracers and labeling measurements did not fully utilize the power of 13C-MFA. Recently, new approaches were developed for optimal design of isotopic labeling experiments based on parallel labeling experiments and algorithms for rational selection of tracers. In addition, advanced isotopic labeling measurements were developed based on tandem mass spectrometry. Combined, these approaches can dramatically improve the quality of 13C-MFA results with important applications in metabolic engineering and biotechnology.

摘要

通过 13C 代谢通量分析(13C-MFA)来测量通量已经成为化学和制药生物技术中的一项关键活动。对于 13C-MFA 而言,最佳的同位素标记实验设计至关重要,因为它决定了通量估计的精确性。传统的选择同位素示踪剂和标记测量的方法并没有充分利用 13C-MFA 的优势。最近,基于平行标记实验和合理选择示踪剂的算法,开发了用于同位素标记实验最佳设计的新方法。此外,还基于串联质谱开发了先进的同位素标记测量方法。这些方法的结合可以极大地提高 13C-MFA 结果的质量,在代谢工程和生物技术中有重要的应用。

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