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Titer estimation for quality control (TEQC) method: A practical approach for optimal production of protein complexes using the baculovirus expression vector system

机译:质量控制(TEQC)方法的效价估计:使用杆状病毒表达载体系统优化蛋白质复合物生产的实用方法

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摘要

The baculovirus expression vector system (BEVS) is becoming the method of choice for expression of many eukaryotic proteins and protein complexes for biochemical, structural and pharmaceutical studies. Significant technological advancement has made generation of recombinant baculoviruses easy, efficient and user-friendly. However, there is a tremendous variability in the amount of proteins made using the BEVS, including different batches of virus made to express the same proteins. Yet, what influences the overall production of proteins or protein complexes remains largely unclear. Many downstream applications, particularly protein structure determination, require purification of large quantities of proteins in a repetitive manner, calling for a reliable experimental set-up to obtain proteins or protein complexes of interest consistently. During our investigation of optimizing the expression of the Mediator Head module, we discovered that the ‘initial infectivity’ was an excellent indicator of overall production of protein complexes. Further, we show that this initial infectivity can be mathematically described as a function of multiplicity of infection (MOI), correlating recombinant protein yield and virus titer. All these findings led us to develop the Titer Estimation for Quality Control (TEQC) method, which enables researchers to estimate initial infectivity, titer/MOI values in a simple and affordable way, and to use these values to quantitatively optimize protein expressions utilizing BEVS in a highly reproducible fashion.
机译:杆状病毒表达载体系统(BEVS)正成为表达许多用于生物化学,结构和药物研究的真核蛋白质和蛋白质复合物的首选方法。重大的技术进步使重组杆状病毒的产生变得容易,高效和用户友好。但是,使用BEVS制备的蛋白质数量(包括表达同一蛋白质的不同批次的病毒)的数量差异很大。然而,什么仍然影响蛋白质或蛋白质复合物的整体生产尚不清楚。许多下游应用,尤其是蛋白质结构的确定,都需要以重复的方式纯化大量蛋白质,从而需要可靠的实验装置来一致地获得目标蛋白质或蛋白质复合物。在优化介体头模块表达的研究中,我们发现“初始感染性”是蛋白质复合物总产量的极佳指标。此外,我们表明,该初始感染性可以在数学上描述为感染复数(MOI)的函数,与重组蛋白产量和病毒滴度相关。所有这些发现促使我们开发了质量控制滴度估算(TEQC)方法,该方法使研究人员能够以简单且负担得起的方式估算初始感染性,滴度/ MOI值,并利用这些值通过BEVS定量地优化蛋白质表达。高度可复制的时尚。

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