COMBINES-CID: An Efficient Method for De Novo Engineering of Highly Specific Chemically Induced Protein Dimerization Systems

Autor: Huayi Jiang, Frank DiMaio, Shoukai Kang, Molly Jahn, Kristian Davidsen, Liangcai Gu, Mahmoud Moussa, Luis Gomez-Castillo, Zengpeng Li, Yu Liang, Xiaonan Fu
Rok vydání: 2019
Předmět:
Zdroj: Journal of the American Chemical Society. 141:10948-10952
ISSN: 1520-5126
0002-7863
Popis: Chemically induced dimerization (CID) systems, in which two proteins dimerize only in the presence of a small molecule ligand, offer versatile tools for small molecule sensing and actuation. However, only a handful of CID systems exist and creating one with the desired sensitivity and specificity for any given ligand is an unsolved problem. Here, we developed a combinatorial binders-enabled selection of CID (COMBINES-CID) method broadly applicable to different ligands. We demonstrated a proof-of-principle by generating nanobody-based heterodimerization systems induced by cannabidiol with high ligand selectivity. We applied the CID system to a sensitive sandwich enzyme-linked immunosorbent assay-like assay of cannabidiol in body fluids with a detection limit of ∼0.25 ng/mL. COMBINES-CID provides an efficient, cost-effective solution for expanding the biosensor toolkit for small molecule detection.
Databáze: OpenAIRE