Okahashi Nobuyuki, Kajihata Shuichi, Furusawa Chikara, Shimizu Hiroshi
Department of Bioinformatic Engineering, Graduate School of Information Science and Technology, Osaka University, 1-5 Yamadaoka, Suita, Osaka 565-0871, Japan.
Metabolites. 2014 May 30;4(2):408-20. doi: 10.3390/metabo4020408.
13C metabolic flux analysis (MFA) is a tool of metabolic engineering for investigation of in vivo flux distribution. A direct 13C enrichment analysis of intracellular free amino acids (FAAs) is expected to reduce time for labeling experiments of the MFA. Measurable FAAs should, however, vary among the MFA experiments since the pool sizes of intracellular free metabolites depend on cellular metabolic conditions. In this study, minimal 13C enrichment data of FAAs was investigated to perform the FAAs-based MFA. An examination of a continuous culture of Escherichia coli using 13C-labeled glucose showed that the time required to reach an isotopically steady state for FAAs is rather faster than that for conventional method using proteinogenic amino acids (PAAs). Considering 95% confidence intervals, it was found that the metabolic flux distribution estimated using FAAs has a similar reliability to that of the PAAs-based method. The comparative analysis identified glutamate, aspartate, alanine and phenylalanine as the common amino acids observed in E. coli under different culture conditions. The results of MFA also demonstrated that the 13C enrichment data of the four amino acids is required for a reliable analysis of the flux distribution.
13C代谢通量分析(MFA)是一种用于研究体内通量分布的代谢工程工具。对细胞内游离氨基酸(FAA)进行直接的13C富集分析有望缩短MFA标记实验的时间。然而,由于细胞内游离代谢物的库大小取决于细胞代谢条件,可测量的FAA在MFA实验中会有所不同。在本研究中,对FAA的最小13C富集数据进行了研究,以开展基于FAA的MFA。使用13C标记葡萄糖对大肠杆菌连续培养进行的一项检测表明,FAA达到同位素稳态所需的时间比使用蛋白质氨基酸(PAA)的传统方法要快得多。考虑到95%的置信区间,发现使用FAA估计的代谢通量分布与基于PAA的方法具有相似的可靠性。比较分析确定谷氨酸、天冬氨酸、丙氨酸和苯丙氨酸是在不同培养条件下大肠杆菌中观察到的常见氨基酸。MFA的结果还表明,为了可靠地分析通量分布,需要这四种氨基酸的13C富集数据。