McArthur Nikki, Cruz-Teran Carlos, Thatavarty Apoorva, Reeves Gregory T, Rao Balaji M
Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, North Carolina 27695, United States.
Department of Chemical Engineering, Texas A&M University, College Station, Texas 77843, United States.
ACS Omega. 2022 Jul 1;7(28):24551-24560. doi: 10.1021/acsomega.2c02319. eCollection 2022 Jul 19.
The use of immunodetection assays including the widely used enzyme-linked immunosorbent assay (ELISA) in applications such as point-of-care detection is often limited by the need for protein immobilization and multiple binding and washing steps. Here, we describe an experimental and analytical framework for the development of simple and modular "mix-and-read" enzymatic complementation assays based on split luciferase that enable sensitive detection and quantification of analytes in solution. In this assay, two engineered protein binders targeting nonoverlapping epitopes on the target analyte were each fused to nonactive fragments of luciferase to create biosensor probes. Binding proteins to two model targets, lysozyme and Sso6904, were isolated from a combinatorial library of Sso7d mutants using yeast surface display. In the presence of the analyte, probes were brought into close proximity, reconstituting enzymatic activity of luciferase and enabling detection of low picomolar concentrations of the analyte by chemiluminescence. Subsequently, we constructed an equilibrium binding model that relates binding affinities of the binding proteins for the target, assay parameters such as the concentrations of probes used, and assay performance (limit of detection and concentration range over which the target can be quantified). Overall, our experimental and analytical framework provides the foundation for the development of split luciferase assays for detection and quantification of various targets.
免疫检测分析方法的应用,包括广泛使用的酶联免疫吸附测定法(ELISA),如即时检测,通常受到蛋白质固定以及多个结合和洗涤步骤的限制。在此,我们描述了一个实验和分析框架,用于开发基于分裂荧光素酶的简单且模块化的“混合即读”酶互补分析方法,该方法能够灵敏地检测和定量溶液中的分析物。在这种分析方法中,针对目标分析物上不重叠表位的两种工程化蛋白质结合剂分别与荧光素酶的无活性片段融合,以创建生物传感器探针。使用酵母表面展示技术从Sso7d突变体的组合文库中分离出与两种模型靶标(溶菌酶和Sso6904)结合的蛋白质。在分析物存在的情况下,探针相互靠近,恢复荧光素酶的酶活性,并通过化学发光检测低皮摩尔浓度的分析物。随后,我们构建了一个平衡结合模型,该模型关联了结合蛋白对靶标的结合亲和力、所使用探针的浓度等分析参数以及分析性能(检测限和可定量靶标的浓度范围)。总体而言,我们的实验和分析框架为开发用于检测和定量各种靶标的分裂荧光素酶分析方法奠定了基础。