Phage vs. Phage: Direct Selections of Sandwich Binding Pairs

Author:

Sanders Emily C.1ORCID,Santos Alicia M.1ORCID,Nguyen Eugene K.1ORCID,Gelston Aidan A.1ORCID,Majumdar Sudipta1ORCID,Weiss Gregory A.123ORCID

Affiliation:

1. Departments of Chemistry, University of California, Irvine, CA 92697, USA

2. Departments of Molecular Biology and Biochemistry, University of California, Irvine, CA 92697, USA

3. Departments of Pharmaceutical Sciences, University of California, Irvine, CA 92697, USA

Abstract

The sandwich format immunoassay is generally more sensitive and specific than more common assay formats, including direct, indirect, or competitive. A sandwich assay, however, requires two receptors to bind non-competitively to the target analyte. Typically, pairs of antibodies (Abs) or antibody fragments (Fabs) that are capable of forming a sandwiching with the target are identified through a slow, guess-and-check method with panels of candidate binding partners. Additionally, sandwich assays that are reliant on commercial antibodies can suffer from changes to reagent quality outside the researchers’ control. This report presents a reimagined and simplified phage display selection protocol that directly identifies sandwich binding peptides and Fabs. The approach yielded two sandwich pairs, one peptide–peptide and one Fab–peptide sandwich for the cancer and Parkinson’s disease biomarker DJ-1. Requiring just a few weeks to identify, the sandwich pairs delivered apparent affinity that is comparable to other commercial peptide and antibody sandwiches. The results reported here could expand the availability of sandwich binding partners for a wide range of clinical biomarker assays.

Funder

the UCI COVID-19 Basic

Translational and Clinical Research Fund

the Allergan Foundation

UCOP Emergency COVID-19 Research Seed Funding

UCI Department of Chemistry

UCI Graduate Division

the NIH

Publisher

MDPI AG

Subject

Virology,Infectious Diseases

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3