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发表 13C 代谢通量分析研究:综述与未来展望。

Publishing 13C metabolic flux analysis studies: a review and future perspectives.

机构信息

Department of Chemical and Biomolecular Engineering, Metabolic Engineering and Systems Biology Laboratory, University of Delaware, 150 Academy St., Newark, DE 19716, USA.

出版信息

Metab Eng. 2013 Nov;20:42-8. doi: 10.1016/j.ymben.2013.08.005. Epub 2013 Sep 8.

Abstract

(13)C-Metabolic flux analysis ((13)C-MFA) is a powerful model-based analysis technique for determining intracellular metabolic fluxes in living cells. It has become a standard tool in many labs for quantifying cell physiology, e.g., in metabolic engineering, systems biology, biotechnology, and biomedical research. With the increasing number of (13)C-MFA studies published each year, it is now ever more important to provide practical guidelines for performing and publishing (13)C-MFA studies so that quality is not sacrificed as the number of publications increases. The main purpose of this paper is to provide an overview of good practices in (13)C-MFA, which can eventually be used as minimum data standards for publishing (13)C-MFA studies. The motivation for this work is two-fold: (1) currently, there is no general consensus among researchers and journal editors as to what minimum data standards should be required for publishing (13)C-MFA studies; as a result, there are great discrepancies in terms of quality and consistency; and (2) there is a growing number of studies that cannot be reproduced or verified independently due to incomplete information provided in these publications. This creates confusion, e.g. when trying to reconcile conflicting results, and hinders progress in the field. Here, we review current status in the (13)C-MFA field and highlight some of the shortcomings with regards to (13)C-MFA publications. We then propose a checklist that encompasses good practices in (13)C-MFA. We hope that these guidelines will be a valuable resource for the community and allow (13)C-flux studies to be more easily reproduced and accessed by others in the future.

摘要

(13)C-代谢通量分析 ((13)C-MFA) 是一种强大的基于模型的分析技术,可用于确定活细胞内的细胞内代谢通量。它已成为许多实验室定量细胞生理学的标准工具,例如代谢工程、系统生物学、生物技术和生物医学研究。随着每年发表的 (13)C-MFA 研究数量的增加,现在提供执行和发表 (13)C-MFA 研究的实用指南变得尤为重要,以确保随着出版物数量的增加,质量不会受到影响。本文的主要目的是概述 (13)C-MFA 的良好实践,最终可作为发表 (13)C-MFA 研究的最低数据标准。这项工作的动机有两个:(1)目前,研究人员和期刊编辑之间对于发表 (13)C-MFA 研究应要求哪些最低数据标准尚未达成共识;因此,在质量和一致性方面存在很大差异;(2)由于这些出版物提供的信息不完整,越来越多的研究无法独立重现或验证。这会造成混乱,例如在试图调和相互矛盾的结果时,并且阻碍了该领域的进展。在这里,我们回顾了 (13)C-MFA 领域的现状,并强调了 (13)C-MFA 出版物存在的一些缺点。然后,我们提出了一个涵盖 (13)C-MFA 良好实践的清单。我们希望这些准则将成为社区的宝贵资源,并允许未来其他人更轻松地重现和访问 (13)C-通量研究。

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