Institute of Pharmacy, Ernst-Moritz-Arndt-University, Greifswald, Germany.
Biotechnol J. 2011 Aug;6(8):926-33. doi: 10.1002/biot.201100248. Epub 2011 Jul 22.
The optimization and the scale up of industrial fermentation processes require an efficient and possibly comprehensive analysis of the physiology of the production system throughout the process development. Furthermore, to ensure a good quality control of established bioprocesses, on-line analysis techniques for the determination of marker gene expression are of interest to monitor the productivity and the safety of bioprocesses. A prerequisite for such analyses is the knowledge of genes, the expression of which is critical either for the productivity or for the performance of the bioprocess. This work reviews marker genes that are specific indicators for stress- and nutrient-limitation conditions or for the physiological status of the bacterial production hosts Bacillus subtilis, Bacillus licheniformis and Escherichia coli. The suitability of existing gene expression analysis techniques for bioprocess monitoring is discussed. Analytical approaches that enable a robust and sensitive determination of selected marker mRNAs or proteins are presented.
工业发酵过程的优化和放大需要在整个过程开发中对生产系统的生理学进行高效且全面的分析。此外，为了确保已建立的生物过程的良好质量控制，用于确定标记基因表达的在线分析技术对于监测生物过程的生产力和安全性很有意义。进行此类分析的前提是了解那些对于生产力或细菌生产宿主枯草芽孢杆菌、地衣芽孢杆菌和大肠杆菌的性能至关重要的基因的表达。本文综述了一些标记基因，这些基因是应激和营养限制条件或细菌生产宿主生理状态的特异性指标。讨论了现有基因表达分析技术在生物过程监测中的适用性。介绍了能够对选定的标记 mRNA 或蛋白质进行稳健和敏感测定的分析方法。
