Issue 23, 2023

Efficient and rapid linker optimization with heterodimeric coiled coils improves the response of fluorescent biosensors comprising antibodies and protein M

Abstract

We developed a coiled Q-probe (CQ-probe), a fluorescent probe containing a coiled-coil peptide pair E4/K4, to convert antibodies into biosensors for homogeneous immunoassays. This probe consists of an antibody-binding protein, protein M (PM) with the E4 peptide and the K4 peptide with a fluorescent dye. Compared to PM Q-probes, which are generated by modifying the C-terminus of PM with a fluorescent dye, CQ-probe variants with various linkers are easy to prepare and therefore enable the establishment of biosensors with a significant fluorescence response by localizing the fluorescent dye at the optimal position for quenching and antigen-dependent release. The fluorescence changes of biosensors converted from anti-BGP, anti-cortisol, and anti-testosterone antibodies using the rhodamine 6G (or TAMRA)-labeled CQ-probe upon antigen addition were 13 (or 2.6), 9.7 (or 1.5), and 2.1 (or 1.2) times larger than that of the biosensors converted using the PM Q-probe. Furthermore, the CQ-probe converted anti-digoxin IgG into a functional biosensor, whereas the PM Q-probe/antibody complex showed an insufficient response. This technology exhibits a promising capacity to convert antibodies into high-response biosensors, which are expected to be applied in a wide range of fields, including clinical diagnosis, environmental surveys, food analysis, and biological research.

Graphical abstract: Efficient and rapid linker optimization with heterodimeric coiled coils improves the response of fluorescent biosensors comprising antibodies and protein M

Supplementary files

Article information

Article type
Communication
Submitted
01 Way 2023
Accepted
28 Dit 2023
First published
31 Dit 2023

Analyst, 2023,148, 5843-5850

Author version available

Efficient and rapid linker optimization with heterodimeric coiled coils improves the response of fluorescent biosensors comprising antibodies and protein M

K. Sasamoto, T. Yasuda, B. Zhu, H. Ueda and T. Kitaguchi, Analyst, 2023, 148, 5843 DOI: 10.1039/D3AN01499A

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