Karlsson Robert
GE Healthcare Bio-Sciences AB, Björkgatan 30, 753 23, Uppsala, Sweden.
Biophys Rev. 2016 Dec;8(4):347-358. doi: 10.1007/s12551-016-0219-5. Epub 2016 Oct 17.
Protein concentration data are required for understanding protein interactions and are a prerequisite for the determination of affinity and kinetic properties. It is vital for the judgment of protein quality and for monitoring the effect of therapeutic agents. Protein concentration values are typically obtained by comparison to a standard and derived from a standard curve. The use of a protein standard is convenient, but may not give reliable results if samples and standards behave differently. In other cases, a standard preparation may not be available and has to be established and validated. Using surface plasmon resonance (SPR) biosensors, an alternative concentration method is possible. This method is called calibration-free concentration analysis (CFCA); it generates active concentration data directly and without the use of a standard. The active concentration of a protein is defined through its interaction with its binding partner. This concentration can differ from the total protein concentration if some protein fraction is incapable of binding. If a protein has several different binding sites, active concentration data can be established for each binding site using site-specific interaction partners. This review will focus on CFCA analysis. It will reiterate the theory of CFCA and describe how CFCA has been applied in different research segments. The major part of the review will, however, try to set expectations on CFCA and discuss how CFCA can be further developed for absolute and relative concentration measurements.
理解蛋白质相互作用需要蛋白质浓度数据,并且是确定亲和力和动力学性质的前提条件。它对于判断蛋白质质量以及监测治疗药物的效果至关重要。蛋白质浓度值通常通过与标准品比较获得,并从标准曲线推导得出。使用蛋白质标准品很方便,但如果样品和标准品表现不同,可能无法给出可靠结果。在其他情况下,可能没有标准制剂,必须进行建立和验证。使用表面等离子体共振(SPR)生物传感器,可以采用另一种浓度测定方法。这种方法称为无校准浓度分析(CFCA);它直接生成活性浓度数据,无需使用标准品。蛋白质的活性浓度通过其与结合伴侣的相互作用来定义。如果某些蛋白质部分无法结合,该浓度可能与总蛋白质浓度不同。如果一种蛋白质有几个不同的结合位点,可以使用位点特异性相互作用伴侣为每个结合位点建立活性浓度数据。本综述将聚焦于CFCA分析。它将重申CFCA的理论,并描述CFCA在不同研究领域的应用方式。然而,综述的主要部分将尝试对CFCA设定预期,并讨论如何进一步开发CFCA以进行绝对和相对浓度测量。