CRISPR-based peptide library display and programmable microarray self-assembly for rapid quantitative protein binding assays

Mol Cell. 2021 Sep 2;81(17):3650-3658.e5. doi: 10.1016/j.molcel.2021.07.027. Epub 2021 Aug 13.

Abstract

CRISPR-inspired systems have been extensively developed for applications in genome editing and nucleic acid detection. Here, we introduce a CRISPR-based peptide display technology to facilitate customized, high-throughput in vitro protein interaction studies. We show that bespoke peptide libraries fused to catalytically inactive Cas9 (dCas9) and barcoded with unique single guide RNA (sgRNA) molecules self-assemble from a single mixed pool to programmable positions on a DNA microarray surface for rapid, multiplexed binding assays. We develop dCas9-displayed saturation mutagenesis libraries to characterize antibody-epitope binding for a commercial anti-FLAG monoclonal antibody and human serum antibodies. We also show that our platform can be used for viral epitope mapping and exhibits promise as a multiplexed diagnostics tool. Our CRISPR-based peptide display platform and the principles of complex library self-assembly using dCas9 could be adapted for rapid interrogation of varied customized protein libraries or biological materials assembly using DNA scaffolding.

Keywords: CRISPR; Cas9; FLAG; SARS-CoV-2; antibody binding; influenza A; protein display; protein microarray; protein-protein interactions; self-assembly.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • CRISPR-Cas Systems / genetics
  • CRISPR-Cas Systems / immunology
  • Epitopes / genetics*
  • Epitopes / immunology
  • Gene Editing / methods*
  • Humans
  • Mutagenesis / genetics
  • Peptide Library*
  • Protein Binding / genetics
  • Protein Binding / immunology
  • RNA, Guide, CRISPR-Cas Systems / genetics*
  • RNA, Guide, CRISPR-Cas Systems / immunology

Substances

  • Epitopes
  • Peptide Library
  • RNA, Guide, CRISPR-Cas Systems