Advanced FRET normalization allows quantitative analysis of protein interactions including stoichiometries and relative affinities in living cells

Bernhard Hochreiter, Markus Kunze, Bernhard Moser, Johannes A. Schmid*

*Corresponding author for this work

Research output: Journal article (peer-reviewed)Journal article

31 Citations (Scopus)

Abstract

FRET (Fluorescence Resonance Energy Transfer) measurements are commonly applied to proof protein-protein interactions. However, standard methods of live cell FRET microscopy and signal normalization only allow a principle assessment of mutual binding and are unable to deduce quantitative information of the interaction. We present an evaluation and normalization procedure for 3-filter FRET measurements, which reflects the process of complex formation by plotting FRET-saturation curves. The advantage of this approach relative to traditional signal normalizations is demonstrated by mathematical simulations. Thereby, we also identify the contribution of critical parameters such as the total amount of donor and acceptor molecules and their molar ratio. When combined with a fitting procedure, this normalization facilitates the extraction of key properties of protein complexes such as the interaction stoichiometry or the apparent affinity of the binding partners. Finally, the feasibility of our method is verified by investigating three exemplary protein complexes. Altogether, our approach offers a novel method for a quantitative analysis of protein interactions by 3-filter FRET microscopy, as well as flow cytometry. To facilitate the application of this method, we created macros and routines for the programs ImageJ, R and MS-Excel, which we make publicly available.

Original languageEnglish
Article number8233
JournalScientific Reports
Volume9
Issue number1
DOIs
Publication statusPublished - 03 Jun 2019
Externally publishedYes

Keywords

  • Cell Survival
  • Computer Simulation
  • Fluorescence Resonance Energy Transfer
  • HeLa Cells
  • Humans
  • Models, Theoretical
  • Protein Binding
  • Protein Interaction Mapping

ASJC Scopus subject areas

  • Multidisciplinary

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