Yang Tae Hoon, Heinzle Elmar, Wittmann Christoph
Biochemical Engineering, Saarland University, Bldg. 2, D-66123 Saarbrücken, Germany.
Comput Biol Chem. 2005 Apr;29(2):121-33. doi: 10.1016/j.compbiolchem.2005.02.005.
The potential of using sole respirometric CO2 labeling measurement for 13C metabolic flux analysis was investigated by metabolic simulations. For this purpose a model was created, considering all CO2 forming and consuming reactions in the central catabolic and anabolic pathways. To facilitate the interpretation of the simulation results, the underlying metabolic network was parameterized by physiologically meaningful flux parameters such as flux partitioning ratios at metabolic branch points and reaction reversibilities. For real case flux scenarios of the industrial amino acid producer Corynebacterium glutamicum and different commercially available (13)C-labeled tracer substrates, observability and output sensitivity towards key flux parameters was investigated. Metabolic net fluxes in the central metabolism, involving, e.g. glycolysis, pentose phosphate pathway, tricarboxylic acid cycle, anaplerotic carboxylation, and glyoxylate pathway were found to be determinable by the respirometric approach using a combination of [1-13C] and [6-13C] glucose in two parallel studies. The reversibilities of bidirectional reactions influence the isotopic labeling of CO2 only to a negligible degree. On one hand, they therefore cannot be determined. On the other hand, their precise values are not required for the quantification of net fluxes. Computer-aided optimal experimental design was carried out to predict the quality of the information from the respirometric tracer experiments and identify suitable tracer substrates. A combination of [1-13C] and [6-13C] glucose in two parallel studies was found to yield a similar quality of information as compared to an approach with mass spectrometric labeling analysis of secreted products. The quality of information can be further increased by additional studies with [1,2-13C2] or [1,6-13C2] glucose. Respirometric tracer studies with sole labeling analysis of CO2 are therefore promising for 13C metabolic flux analysis.
通过代谢模拟研究了利用单一呼吸计二氧化碳标记测量进行13C代谢通量分析的潜力。为此创建了一个模型,该模型考虑了中心分解代谢和合成代谢途径中所有产生和消耗二氧化碳的反应。为便于解释模拟结果,基础代谢网络由具有生理意义的通量参数进行参数化,如代谢分支点处的通量分配比和反应可逆性。针对工业氨基酸生产菌谷氨酸棒杆菌的实际通量情况以及不同市售的(13)C标记示踪底物,研究了对关键通量参数的可观测性和输出敏感性。在两项平行研究中发现,使用[1-13C]和[6-13C]葡萄糖的组合,通过呼吸计方法可确定中心代谢中的代谢净通量,包括例如糖酵解、磷酸戊糖途径、三羧酸循环、回补羧化和乙醛酸途径。双向反应的可逆性对二氧化碳的同位素标记影响可忽略不计。因此,一方面无法确定它们。另一方面,量化净通量不需要它们的精确值。进行了计算机辅助的最优实验设计,以预测呼吸计示踪实验信息的质量并确定合适的示踪底物。与对分泌产物进行质谱标记分析的方法相比,在两项平行研究中使用[1-13C]和[6-13C]葡萄糖的组合可产生相似质量的信息。通过使用[1,2-13C2]或[1,6-13C2]葡萄糖进行额外研究,信息质量可进一步提高。因此,仅对二氧化碳进行标记分析的呼吸计示踪研究在13C代谢通量分析方面很有前景。