Summary

Creating Highly Specific Chemically Induced Protein Dimerization Systems by Stepwise Phage Selection of a Combinatorial Single-Domain Antibody Library

Published: January 14, 2020
doi:

Summary

Creating chemically induced protein dimerization systems with desired affinity and specificity for any given small molecule ligand would have many biological sensing and actuation applications. Here, we describe an efficient, generalizable method for de novo engineering of chemically induced dimerization systems via the stepwise selection of a phage-displayed combinatorial single-domain antibody library.

Abstract

Protein dimerization events that occur only in the presence of a small-molecule ligand enable the development of small-molecule biosensors for the dissection and manipulation of biological pathways. Currently, only a limited number of chemically induced dimerization (CID) systems exist and engineering new ones with desired sensitivity and selectivity for specific small-molecule ligands remains a challenge in the field of protein engineering. We here describe a high throughput screening method, combinatorial binders-enabled selection of CID (COMBINES-CID), for the de novo engineering of CID systems applicable to a large variety of ligands. This method uses the two-step selection of a phage-displayed combinatorial nanobody library to obtain 1) "anchor binders" that first bind to a ligand of interest and then 2) "dimerization binders" that only bind to anchor binder-ligand complexes. To select anchor binders, a combinatorial library of over 109 complementarity-determining region (CDR)-randomized nanobodies is screened with a biotinylated ligand and hits are validated with the unlabeled ligand by bio-layer interferometry (BLI). To obtain dimerization binders, the nanobody library is screened with anchor binder-ligand complexes as targets for positive screening and the unbound anchor binders for negative screening. COMBINES-CID is broadly applicable to select CID binders with other immunoglobulin, non-immunoglobulin, or computationally designed scaffolds to create biosensors for in vitro and in vivo detection of drugs, metabolites, signaling molecules, etc.

Introduction

CID systems, in which two proteins dimerize only in the presence of a small-molecule ligand (Figure 1), offer versatile tools for dissecting and manipulating metabolic, signaling, and other biological pathways1. They have demonstrated the potential in biological actuation, such as drug-controlled T cell activation2 and apoptosis3,4, for improving the safety and efficacy of adoptive T cell therapy. Additionally, they provide a new methodology for in vivo or in vitro detection of small-molecule targets. For example, CID proteins can be genetically fused with fluorescence reporter systems (e.g., fluorescence resonance energy transfer (FRET)5 and circularly permuted fluorescent proteins)6 for real-time in vivo measurements, or serve as affinity reagents for sandwich enzyme-linked immunosorbent assay (ELISA)-like assays.

Despite their wide applications, creating new CID systems that can be controlled by a given small-molecule ligand has major challenges. Established protein binder engineering methods including animal immunization7, in vitro selection8,9, and computational protein design10 can generate ligand binding proteins that function via binary protein-ligand interactions. However, these methods have difficulties creating a ligand-induced ternary CID complex. Some methods create CID by chemically linking two ligands that independently bind to the same or different proteins11,12,13,14,15,16 or rely on selecting binder proteins such as antibodies targeting preexisting small molecule-protein complexes17,18, and thus have a limited choice of ligands.

We recently developed a combinatorial binders-enabled selection of CID (COMBINES-CID) method for de novo engineering of CID systems19. This method can obtain the high specificity of ligand-induced dimerization (e.g., an anchor-dimerization binder dissociation constant, KD (without ligand)/KD (with ligand) > 1,000). The dimerization specificity is achieved using anchor binders with flexible binding sites that can introduce conformational changes upon ligand binding, providing a basis for the selection of conformationally selective binders only recognizing ligand-bound anchor binders. We demonstrated a proof-of-principle by creating cannabidiol (CBD)-induced heterodimers of nanobodies, a 12–15 kDa functional antibody fragment from camelid comprising a universal scaffold and three flexible CDR loops (Figure 2)20, which can form a binding pocket with adaptable sizes for small-molecule epitopes21,22. Notably, the in vitro selection of a combinatorial protein library should be cost-effective and generalizable for CID engineering because the same high-quality library can be applied to different ligands.

In this protocol and video, we focus on describing the two-step in vitro selection and validation of anchor (Figure 3A) and dimerization binders (Figure 3B) by screening the combinatorial nanobody library with a diversity higher than 109 using CBD as a target, but the protocol should be applicable to other protein libraries or small-molecule targets. The screening of CID binders usually takes 6–10 weeks (Figure 4).

Protocol

1. Library construction Use a synthetic combinatorial single-domain antibody library with a diversity of ~1.23–7.14 x 109, as previously described19. While this protocol does not include library construction, it can be applied to other combinatorial binder libraries. 2. Biotinylation of ligand target or ligand Biotinylate the selected ligand, for example, CBD and tetrahydrocannabinol (THC)19, via va…

Representative Results

We describe the two-step in vitro selection and validation of anchor and dimerization binders by screening the combinatorial nanobody library with a diversity higher than 109 using CBD as a target. Assessing the enrichment of the phage biopanning during the successive rounds of selection for both anchor and dimerization binders is important. Typical enrichment results after 4–6 rounds of selection as shown in Figure 5 are a good indication that there is a high ratio of poten…

Discussion

It is critical to choose the correct concentrations of input phage libraries for different rounds of biopanning. We typically started from an input library of ~1012–1013 phage particles with a diversity >109, allowing ~100–1,000 copies of each phage clone to be presented in the pull-down assay. If the phage concentration in a binding assay is too high or low, the likelihood of nonspecific binding or loss of positive clones will increase. The anchor or dimerization binder s…

Divulgaciones

The authors have nothing to disclose.

Acknowledgements

This work was supported by the University of Washington Innovation Award (to L.G.), a grant from the U.S. National Institutes of Health (1R35GM128918 to L.G.), and a startup fund of the University of Washington (to L.G.). H.J. was supported by a Washington Research Foundation undergraduate fellowship. K.W. was supported by an undergraduate fellowship from the University of Washington Institute for Protein Design.

Materials

1-Step Ultra TMB ELISA substrate solution Thermo Fisher Scientific 34029
Agar Thermo Fisher Scientific BP1423-2
Amicon Ultra-15 Centrifugal Filter unit (3 kDa cutoff) Millipore UFC900324
Ampicillin Thermo Fisher Scientific BP1760-25
Bio-Rad Protein Assay Kit II Bio-Rad 5000002
BirA biotin-protein ligase standard reaction kit Avidity BirA500
Bovine Serum Albumin (BSA) Sigma-Aldrich A2153-50G
Casein Sigma-Aldrich C7078-1KG
CM13 Helper phage Antibody Design Labs PH020L
D-(+)-Glucose monohydrate Alfa Aesar A11090
Dynabeads M-280 Streptavidin Thermo Fisher Scientific 11205D
DynaMag-2 Magnet Thermo Fisher Scientific 12321D
EDTA Thermo Fisher Scientific BP120-1
Fast DNA Ladder New England Biolabs N3238S
FastDigest BglI Thermo Fisher Scientific FD0074
Glycerol Thermo Fisher Scientific BP229-1
HiLoad 16/600 Superdex 200 pg GE Healthcare 28989335
HiPrep 26/10 Desalting Column GE Healthcare 17508701
HisTrap-FF-1ml GE Healthcare 11000458
Imidazole Alfa Aesar 161-0718
IPTG Thermo Fisher Scientific 34060
Kanamycin Thermo Fisher Scientific BP906-5
M13 Major Coat Protein Antibody Santa Cruz Biotechnology sc-53004
NaCl Sigma-Aldrich S3014-500G
NanoDrop 2000/2000c Spectrophotometers Thermo Fisher Scientific ND-2000
Nunc 96-Well Polypropylene DeepWell Storage Plates Thermo Fisher Scientific 260251
Nunc MaxiSorp Thermo Fisher Scientific 44-2404-21
Octet RED96 ForteBio N/A
pADL-23c Phagemid Vector Antibody Design Labs PD0111
PEG-6000 Sigma-Aldrich 81260-1KG
Platinum SuperFi DNA Polymerase Invitrogen 12351010
PureLink PCR Purification Kit Thermo Fisher Scientific K310001
QIAprep Spin M13 Kit Qiagen 27704
Recovery Medium Lucigen 80026-1
SpectraMax Plus 384 Molecular Devices N/A
Sucrose Sigma-Aldrich S0389-1KG
Super Streptavidin (SSA) Biosensors ForteBio 18-5057
Superdex 75 increase 10/300 GL Column GE Healthcare 28-9909-44
T4 DNA Ligase Thermo Fisher Scientific 15224-025
TG1 Electrocompetent Cells Lucigen 60502-1
Triethylamine Sigma-Aldrich 471283-100mL
Trizma Base Sigma-Aldrich T1503
Tryptone Thermo Fisher Scientific BP9726-5
Tween 20 Thermo Fisher Scientific BP337-500
Yeast Extract Thermo Fisher Scientific BP1422-2
Zeba Spin Desalting Column Thermo Fisher Scientific 89882

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Gomez-Castillo, L., Watanabe, K., Jiang, H., Kang, S., Gu, L. Creating Highly Specific Chemically Induced Protein Dimerization Systems by Stepwise Phage Selection of a Combinatorial Single-Domain Antibody Library. J. Vis. Exp. (155), e60738, doi:10.3791/60738 (2020).

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