Studying protein interactions in high throughput (HTP) is critical for advancing many aspects of drug discovery, biomarker identification, and diagnostic development. However, existing methods for producing functional protein libraries are costly, time-consuming, and lack real-time kinetic screening capabilities. To address these limitations, we developed an automated platform for HTP production and screening of a library of proteins on biosensor surfaces, facilitating large-scale measurement of interaction kinetics. This technology, Sensor-Integrated Proteome On Chip (SPOC®), involves cell-free protein expression in nanowells directly from customizable libraries of DNA, facilitating simultaneous capture-purification of up to 2400 unique full-length folded proteins or proteoforms onto a single gold biosensor chip. SPOC protein biosensors can then be screened by real-time label-free analysis, including surface plasmon resonance (SPR) to generate kinetic data. Fluorescent and SPR assays were used to demonstrate zero crosstalk between protein spots. The functionality of SPOC proteins was validated using a variety of assays. Monoclonal antibodies were found to selectively bind their SPOC protein targets and anti-RBD antibody was used to demonstrate discriminated binding kinetics to numerous SARS-CoV-2 RBD variants on-chip. With advantages of HTP, flexibility, low-cost, and real-time kinetic profiling, the SPOC platform addresses challenges of interrogating protein interactions at scale for research and clinical applications.
Multiplexed proteomic biosensor platform for label-free real-time simultaneous kinetic screening of thousands of protein interactions.
用于对数千种蛋白质相互作用进行无标记实时同步动力学筛选的多重蛋白质组生物传感器平台
阅读:15
作者:Agu Chidozie Victor, Cook Rebecca L, Martelly William, Gushgari Lydia R, Mohan Mukilan, Takulapalli Bharath
| 期刊: | Communications Biology | 影响因子: | 5.100 |
| 时间: | 2025 | 起止号: | 2025 Mar 21; 8(1):468 |
| doi: | 10.1038/s42003-025-07844-z | 研究方向: | 其它 |
特别声明
1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。
2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。
3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。
4、投稿及合作请联系:info@biocloudy.com。
