Liu Yuqi, Caffry Isabelle, Wu Jiemin, Geng Steven B, Jain Tushar, Sun Tingwan, Reid Felicia, Cao Yuan, Estep Patricia, Yu Yao, Vásquez Maximiliano, Tessier Peter M, Xu Yingda
Protein Analytics; Adimab; Lebanon, NH USA.
Center for Biotechnology & Interdisciplinary Studies; Isermann Dept. of Chemical & Biological Engineering; Rensselaer Polytechnic Institute; Troy, NY USA.
MAbs. 2014 Mar-Apr;6(2):483-92. doi: 10.4161/mabs.27431. Epub 2013 Dec 6.
The discovery of monoclonal antibodies (mAbs) that bind to a particular molecular target is now regarded a routine exercise. However, the successful development of mAbs that (1) express well, (2) elicit a desirable biological effect upon binding, and (3) remain soluble and display low viscosity at high concentrations is often far more challenging. Therefore, high throughput screening assays that assess self-association and aggregation early in the selection process are likely to yield mAbs with superior biophysical properties. Here, we report an improved version of affinity-capture self-interaction nanoparticle spectroscopy (AC-SINS) that is capable of screening large panels of antibodies for their propensity to self-associate. AC-SINS is based on concentrating mAbs from dilute solutions around gold nanoparticles pre-coated with polyclonal capture (e.g., anti-Fc) antibodies. Interactions between immobilized mAbs lead to reduced inter-particle distances and increased plasmon wavelengths (wavelengths of maximum absorbance), which can be readily measured by optical means. This method is attractive because it is compatible with dilute and unpurified mAb solutions that are typical during early antibody discovery. In addition, we have improved multiple aspects of this assay for increased throughput and reproducibility. A data set comprising over 400 mAbs suggests that our modified assay yields self-interaction measurements that are well-correlated with other lower throughput assays such as cross-interaction chromatography. We expect that the simplicity and throughput of our improved AC-SINS method will lead to improved selection of mAbs with excellent biophysical properties during early antibody discovery.
如今,发现与特定分子靶点结合的单克隆抗体(mAb)已被视为一项常规工作。然而,要成功开发出(1)表达良好、(2)结合后能引发理想生物学效应且(3)在高浓度下仍保持可溶且低粘度的单克隆抗体,往往更具挑战性。因此,在筛选过程早期评估自缔合和聚集的高通量筛选测定法,可能会产生具有优异生物物理特性的单克隆抗体。在此,我们报告了一种改进版的亲和捕获自相互作用纳米颗粒光谱法(AC-SINS),它能够筛选大量抗体的自缔合倾向。AC-SINS基于将稀溶液中的单克隆抗体浓缩在预先包被有多克隆捕获(如抗Fc)抗体的金纳米颗粒周围。固定化单克隆抗体之间的相互作用会导致颗粒间距离减小和等离子体波长(最大吸收波长)增加,这可以通过光学手段轻松测量。该方法具有吸引力,因为它与抗体发现早期典型的稀溶液和未纯化单克隆抗体溶液兼容。此外,我们对该测定法的多个方面进行了改进,以提高通量和重现性。一个包含400多种单克隆抗体的数据集表明,我们改进后的测定法产生的自相互作用测量结果与其他低通量测定法(如交叉相互作用色谱法)高度相关。我们预计,我们改进后的AC-SINS方法的简单性和通量将有助于在抗体发现早期更好地选择具有优异生物物理特性的单克隆抗体。