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从生物工艺优化和生产监测的角度出发,用于表达动物细胞中合成的膜蛋白量的命名法和指南。

Nomenclature and guideline to express the amount of a membrane protein synthesized in animal cells in view of bioprocess optimization and production monitoring.

作者信息

Augusto Elisabeth F P, Moraes Angela M, Piccoli Rosane A M, Barral Manuel F, Suazo Cláudio A T, Tonso Aldo, Pereira Carlos A

机构信息

Laboratório de Biotecnologia Industrial, Instituto de Pesquisas Tecnológicas - IPT, Av. Prof. Almeida Prado, 532, Prédio 31, sala 107, 05508-901 São Paulo, SP, Brazil.

出版信息

Biologicals. 2010 Jan;38(1):105-12. doi: 10.1016/j.biologicals.2009.07.005. Epub 2009 Aug 20.

DOI:10.1016/j.biologicals.2009.07.005
PMID:19699109
Abstract

Studies of a bioprocess optimization and monitoring for protein synthesis in animal cells face a challenge on how to express in quantitative terms the system performance. It is possible to have a panel of calculated variables that fits more or less appropriately the intended goal. Each mathematical expression approach translates different quantitative aspects. We can basically separate them into two categories: those used for the evaluation of cell physiology in terms of product synthesis, which can be for bioprocess improvement or optimization, and those used for production unit sizing and for bioprocess operation. With these perspectives and based on our own data of kinetic S2 cells growth and metabolism, as well as on their synthesis of the transmembrane recombinant rabies virus glycoprotein, here indicated as P, we show and discuss the main characteristics of calculated variables and their recommended use. Mainly applied to a bioprocess improvement/optimization and that mainly used for operation definition and to design the production unit, we expect these definitions/recommendations would improve the quality of data produced in this field and lead to more standardized procedures. In turn, it would allow a better and easier comprehension of scientific and technological communications for specialized readers.

摘要

动物细胞中蛋白质合成的生物过程优化与监测研究面临着如何定量表达系统性能的挑战。有可能存在一组计算变量,它们或多或少能恰当地符合预期目标。每种数学表达式方法都能转化不同的定量方面。我们基本上可以将它们分为两类:一类用于根据产物合成评估细胞生理学,可用于生物过程的改进或优化;另一类用于生产单元规模确定和生物过程操作。基于这些观点,并依据我们自己关于S2细胞生长和代谢动力学的数据,以及它们跨膜重组狂犬病病毒糖蛋白(此处记为P)的合成数据,我们展示并讨论了计算变量的主要特征及其推荐用法。主要应用于生物过程改进/优化以及主要用于操作定义和生产单元设计,我们期望这些定义/推荐能够提高该领域所产生数据的质量,并导致更标准化的程序。反过来,这将使专业读者能更好、更轻松地理解科技交流内容。

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