Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, Indiana, United States of America.
PLoS One. 2018 Apr 3;13(4):e0195356. doi: 10.1371/journal.pone.0195356. eCollection 2018.
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.
杆状病毒表达载体系统 (BEVS) 正成为许多真核蛋白和蛋白复合物进行生化、结构和药物研究的首选表达方法。显著的技术进步使得重组杆状病毒的产生变得简单、高效和用户友好。然而,使用 BEVS 产生的蛋白的量存在很大的可变性,包括表达相同蛋白的不同批次的病毒。然而,影响蛋白或蛋白复合物总体产量的因素在很大程度上仍不清楚。许多下游应用,特别是蛋白结构测定,需要以重复的方式纯化大量的蛋白,这就需要一个可靠的实验设置来始终如一地获得感兴趣的蛋白或蛋白复合物。在优化 Mediator Head 模块表达的研究过程中,我们发现“初始感染力”是蛋白复合物总体产量的一个极好的指标。此外,我们还表明,这种初始感染力可以用感染复数 (MOI) 的函数来数学描述,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 Titer Estimation for Quality Control (TEQC) 方法,该方法使研究人员能够以简单且经济实惠的方式估计初始感染力、滴度/ MOI 值,并使用这些值以可重复的方式定量优化利用 BEVS 进行的蛋白表达。