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ELISA 模拟筛选对靶蛋白具有高亲和力的合成聚合物纳米颗粒。

ELISA-mimic screen for synthetic polymer nanoparticles with high affinity to target proteins.

机构信息

Department of Chemistry, University of California-Irvine, Irvine, California 92697, USA.

出版信息

Biomacromolecules. 2012 Sep 10;13(9):2952-7. doi: 10.1021/bm300986j. Epub 2012 Aug 14.

Abstract

Synthetic polymer nanoparticles (NPs) that display high affinity to protein targets have significant potential for medical and biotechnological applications as protein capture agents or functional replacements of antibodies ("plastic antibodies"). In this study, we modified an immunological assay (enzyme-linked immunosorbent assay: ELISA) into a high-throughput screening method to select nanoparticles with high affinity to target proteins. Histone and fibrinogen were chosen as target proteins to demonstrate this concept. The selection process utilized a biotinylated NP library constructed with combinations of functional monomers. The screen identified NPs with distinctive functional group compositions that exhibited high affinity to either histone or fibrinogen. The variation of protein affinity with changes in the nature and amount of functional groups in the NP provided chemical insight into the principle determinants of protein-NP binding. The NP affinity was semiquantified using the ELISA-mimic assay by varying the NP concentrations. The screening results were found to correlate with solution-based assay results. This screening system utilizing a biotinylated NP is a general approach to optimize functional monomer compositions and can be used to rapidly search for synthetic polymers with high (or low) affinity for target biological macromolecules.

摘要

合成聚合物纳米粒子(NPs)对蛋白质靶标具有高亲和力,在医学和生物技术应用中具有很大的潜力,可用作蛋白质捕获剂或抗体的功能替代品(“塑料抗体”)。在本研究中,我们将免疫测定法(酶联免疫吸附测定:ELISA)修改为高通量筛选方法,以选择对靶蛋白具有高亲和力的纳米粒子。组蛋白和纤维蛋白原为靶蛋白,以证明这一概念。选择过程利用了带有功能单体组合的生物素化 NP 文库。筛选出的 NP 具有独特的功能基团组成,对组蛋白或纤维蛋白原具有高亲和力。NP 与 NP 中功能基团的性质和数量的变化对蛋白质亲和力的影响提供了有关蛋白质-NP 结合原理决定因素的化学见解。通过改变 NP 浓度,使用 ELISA 模拟测定法对半定量 NP 亲和力。筛选结果与基于溶液的测定结果相关。该筛选系统利用生物素化的 NP 是优化功能单体组成的通用方法,可用于快速搜索对目标生物大分子具有高(或低)亲和力的合成聚合物。

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