结合元素组成数据进行细胞生长过程代谢通量分析

METABOLIC FLUX ANALYSIS OF CELLULAR GROWTH USING ADDITIONAL ELEMENTAL COMPOSITION DATA

将细胞内的生物大分子合成网络简化为对某些中心代谢系统前体的需求速率 ,由此得到一枯草杆菌生长代谢网络 ,并以其为对象结合文献数据对细胞生长过程的通量分析方法进行了研究 .提出了一种利用碳元素平衡和一般化还原度平衡将细胞的元素组成数据与其分子组成数据相结合计算胞内通量分布的最小二乘解的方法 ,可以利用更多的测量数据 ,并保证各测得量间的一致性 ,从而使计算结果更为可靠 .

Metabolic flux analysis of cellula growth is very important for the fermentation processes which have a small yield of metabolic products. A new analysis method is developed to calculate the least square solution of the intercellular metabolic flux distribution, which successfully combines cellular elemental composition data with cellular molecular composition data by incorporating carbon balance and generalized degree of reduction balance into the calculating process. This method can make the result more reliable, because it utilizes more measurement data and ensures data consistency. It should be mentioned that all results are derived from a simplified metabolic network of B. subtilis, which is created by representing the complex biomass synthesis network with some precursor requirement rates.