Evaluation of FRET X for single-molecule protein fingerprinting

Carlos Victor de Lannoy, Mike Filius, Raman van Wee, Chirlmin Joo*, Dick de Ridder*

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

3 Citations (Scopus)
10 Downloads (Pure)

Abstract

Single-molecule protein identification is an unrealized concept with potentially ground-breaking applications in biological research. We propose a method called FRET X (Förster Resonance Energy Transfer via DNA eXchange) fingerprinting, in which the FRET efficiency is read out between exchangeable dyes on protein-bound DNA docking strands and accumulated FRET efficiencies constitute the fingerprint for a protein. To evaluate the feasibility of this approach, we simulated fingerprints for hundreds of proteins using a coarse-grained lattice model and experimentally demonstrated FRET X fingerprinting on model peptides. Measured fingerprints are in agreement with our simulations, corroborating the validity of our modeling approach. In a simulated complex mixture of >300 human proteins of which only cysteines, lysines, and arginines were labeled, a support vector machine was able to identify constituents with 95% accuracy. We anticipate that our FRET X fingerprinting approach will form the basis of an analysis tool for targeted proteomics.

Original languageEnglish
Article number103239
Number of pages17
JournaliScience
Volume24
Issue number11
DOIs
Publication statusPublished - 2021

Keywords

  • Biophysics
  • Mathematical biosciences
  • Proteomics
  • Structural biology

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