| Literature DB >> 24492294 |
Yuqi Liu1, Isabelle Caffry1, Jiemin Wu2, Steven B Geng2, Tushar Jain3, Tingwan Sun1, Felicia Reid1, Yuan Cao1, Patricia Estep1, Yao Yu1, Maximiliano Vásquez3, Peter M Tessier2, Yingda Xu1.
Abstract
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.Keywords: aggregation; antibody developability; cross-interaction; high-throughput screening; nanoparticle; self-association; self-interaction
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Year: 2013 PMID: 24492294 PMCID: PMC3984336 DOI: 10.4161/mabs.27431
Source DB: PubMed Journal: MAbs ISSN: 1942-0862 Impact factor: 5.857