Journal article
Rapid Affinity Characterization of Cell-Free Expressed Nanobodies Directly in Lysate with Biolayer Interferometry via Antigen-Immobilized Biosensors
ACS synthetic biology
06/16/2026
DOI: 10.1021/acssynbio.6c00062
PMID: 42301098
Abstract
There have been a few recent works showing the advantages of combining cell-free protein expression (CFE) with biolayer interferometry (BLI) for the rapid kinetic characterization of novel capture proteins, such as nanobodies, to build out sequence-to-function data sets. Such data can inform iterative, machine-learning-guided models to optimize binding to a target antigen. In this work, we extend these approaches by presenting a new CFE-BLI workflow that flips the BLI binding orientation so that the target protein is immobilized on the biosensor surface and the CFE-expressed nanobody is measured directly in the lysate. This expands the applicability of CFE-BLI screening to encompass a larger set of nanobody-antigen pairs, such as multimeric target proteins. Our workflow utilizes a fluorogenic HaloTag fusion protein that enables precise protein quantification while also amplifying the BLI signal of smaller-molecular-weight binders like nanobodies. We test our workflow here using two previously characterized nanobodies (I3 and 2Rs15d) and show that our CFE-BLI screening method can calculate equilibrium dissociation constants (
) similar to those previously reported. We further combine our workflow with a modern combinatorial mutagenesis workflow to screen 12 previously uncharacterized I3 nanobody mutants for improved affinity, demonstrating its potential use in rapid, high-iteration active-learning-guided protein engineering campaigns, especially on multimeric targets that may be presented in complex backgrounds.
Details
- Title: Subtitle
- Rapid Affinity Characterization of Cell-Free Expressed Nanobodies Directly in Lysate with Biolayer Interferometry via Antigen-Immobilized Biosensors
- Creators
- Bret Lange - Iowa State UniversityRyan Godin - Iowa State UniversityNicholas J Schnicker - University of IowaThaddeus J Wadas - University of IowaNigel F Reuel - Iowa State University
- Resource Type
- Journal article
- Publication Details
- ACS synthetic biology
- DOI
- 10.1021/acssynbio.6c00062
- PMID
- 42301098
- NLM abbreviation
- ACS Synth Biol
- ISSN
- 2161-5063
- eISSN
- 2161-5063
- Publisher
- American Chemical Society
- Grant note
- National Institute of General Medical Sciences: R35GM138265 National Science Foundation: 2242763
Figures were created with the assistance of BioRender.com. Graphs and BLI analysis were done using GraphPad Prism 10. DNA sequencing was performed with help from the ISU DNA core facility. Research reported in this publication was supported in part by NSF Award # 2242763 and NIH Award # R35GM138265.
- Language
- English
- Electronic publication date
- 06/16/2026
- Academic Unit
- Radiology; Molecular Physiology and Biophysics; Radiation Oncology; Medicine Administration
- Record Identifier
- 9985175360802771
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