A General Method to Screen Nanobodies for Cytochrome P450 Enzymes from a Yeast Surface Display Library

The availability of yeast surface display nanobody (Nb) libraries offers a convenient way to acquire antigen-specific nanobodies that may be useful for protein structure-function studies and/or therapeutic applications, complementary to the conventional method of acquiring nanobodies through immunization in camelids. In this study, we developed a general approach to select nanobodies for cytochrome P450 enzymes from a highly diverse yeast display library. We tested our method on three P450 enzymes including CYP102A1, neuronal nitric oxide synthase (nNOS), and the complex of CYP2B4:POR, using a novel streamlined approach where biotinylated P450s were bound to fluorescent-labeled streptavidin for Nb screening. The Nb-antigen binders were selectively enriched using magnetic-activated cell sorting (MACS) and fluorescence-activated cell sorting (FACS). After two rounds of MACS, the population of positive binders was enriched by >5-fold compared to the naïve library. The subsequent FACS selection, with a gating of 0.1%, identified 634, 270, and 215 positive binders for CYP102A1, nNOS, and CYP2B4:POR, respectively. The positive binders for CYP102A1 were further triaged based on EC<sub>50</sub> determined at various antigen concentrations. DNA sequencing of the top 30 binders of CYP102A1 resulted in 26 unique clones, 8 of which were selected for over-expression and characterization. They were found to inhibit CYP102A1-catalyzed oxidation of omeprazole with IC<sub>50</sub> values in the range of 0.16-2.8 µM. These results validate our approach and may be applied to other protein targets for the effective selection of specific nanobodies.

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Publication Details

Journal
Biomedicines
Published
2024-08-15
DOI
https://doi.org/10.3390/biomedicines12081863
Citations
1
Primary Topic
Monoclonal and Polyclonal Antibodies Research
Type
article
Field-Weighted Citation Impact
0.40

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article

A General Method to Screen Nanobodies for Cytochrome P450 Enzymes from a Yeast Surface Display Library

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1 citations
Biomedicines
Monoclonal and Polyclonal Antibodies Research
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article

A General Method to Screen Nanobodies for Cytochrome P450 Enzymes from a Yeast Surface Display Library

Haoming Zhang, Yudong Sun, Eugene Chen, Yoichi Osawa, Cristian Martinez-Ramos
article en
1 citations

Abstract

The availability of yeast surface display nanobody (Nb) libraries offers a convenient way to acquire antigen-specific nanobodies that may be useful for protein structure-function studies and/or therapeutic applications, complementary to the conventional method of acquiring nanobodies through immunization in camelids. In this study, we developed a general approach to select nanobodies for cytochrome P450 enzymes from a highly diverse yeast display library. We tested our method on three P450 enzymes including CYP102A1, neuronal nitric oxide synthase (nNOS), and the complex of CYP2B4:POR, using a novel streamlined approach where biotinylated P450s were bound to fluorescent-labeled streptavidin for Nb screening. The Nb-antigen binders were selectively enriched using magnetic-activated cell sorting (MACS) and fluorescence-activated cell sorting (FACS). After two rounds of MACS, the population of positive binders was enriched by >5-fold compared to the naïve library. The subsequent FACS selection, with a gating of 0.1%, identified 634, 270, and 215 positive binders for CYP102A1, nNOS, and CYP2B4:POR, respectively. The positive binders for CYP102A1 were further triaged based on EC<sub>50</sub> determined at various antigen concentrations. DNA sequencing of the top 30 binders of CYP102A1 resulted in 26 unique clones, 8 of which were selected for over-expression and characterization. They were found to inhibit CYP102A1-catalyzed oxidation of omeprazole with IC<sub>50</sub> values in the range of 0.16-2.8 µM. These results validate our approach and may be applied to other protein targets for the effective selection of specific nanobodies.

BiomedicinesVol. 12(8)
University of Michigan (US)
University of Michigan, National Institutes of Health, Medical School, University of Michigan
Openalex Percentile: Top 36%
Monoclonal and Polyclonal Antibodies Research
0.40
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