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重组巴斯德毕赤酵母的基于¹³C的代谢通量分析

¹³C-based metabolic flux analysis of recombinant Pichia pastoris.

作者信息

Ferrer Pau, Albiol Joan

机构信息

Escola d'Enginyeria, Edifici Q, Universitat Autònoma de Barcelona, Campus de Bellaterra, 08193, Bellaterra (Cerdanyola del Vallès), Catalonia, Spain,

出版信息

Methods Mol Biol. 2014;1191:291-313. doi: 10.1007/978-1-4939-1170-7_17.

Abstract

Overexpression of a foreign protein may negatively affect several cell growth parameters, as well as cause cellular stress. Central (or core) metabolism plays a crucial role since it supplies energy, reduction equivalents, and precursor molecules for the recombinant product, cell's maintenance, and growth needs. However, the number of quantitative physiology studies of the impact of recombinant protein production on the central metabolic pathways of yeast cell factories has been traditionally rather limited, thereby hampering the application of rational strain engineering strategies targeting central metabolism.The development and application of quantitative physiology and modelling tools and methodologies is allowing for a systems-level understanding of the effect of bioprocess parameters such as growth rate, temperature, oxygen availability, and substrate(s) choice on metabolism, and its subsequent interactions with recombinant protein synthesis, folding, and secretion.Here, we review the recent developments and applications of (13)C-based metabolic flux analysis ((13)C-MFA) of Pichia pastoris and the gained understanding of the metabolic behavior of this yeast in recombinant protein production bioprocesses. We also discuss the potential of multilevel studies integrating (13)C-MFA with other omics analyses, as well as future perspectives on the metabolic modelling approaches to study and design metabolic engineering strategies for improved protein production.

摘要

外源蛋白的过表达可能会对多个细胞生长参数产生负面影响,并导致细胞应激。中心(或核心)代谢起着至关重要的作用,因为它为重组产物、细胞维持和生长需求提供能量、还原当量和前体分子。然而,传统上,关于重组蛋白生产对酵母细胞工厂中心代谢途径影响的定量生理学研究数量相当有限,从而阻碍了针对中心代谢的合理菌株工程策略的应用。定量生理学以及建模工具和方法的开发与应用,使得人们能够从系统层面理解生长速率、温度、氧气供应和底物选择等生物过程参数对代谢的影响,以及其随后与重组蛋白合成、折叠和分泌的相互作用。在此,我们综述了基于¹³C的毕赤酵母代谢通量分析(¹³C-MFA)的最新进展和应用,以及对该酵母在重组蛋白生产生物过程中代谢行为的认识。我们还讨论了将¹³C-MFA与其他组学分析相结合的多层次研究的潜力,以及代谢建模方法在研究和设计用于提高蛋白生产的代谢工程策略方面的未来前景。

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