Semantic Scholar Open Access 2019 36 sitasi

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

Bernhard Hochreiter M. Kunze B. Moser J. Schmid

Abstrak

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.

Topik & Kata Kunci

Penulis (4)

B

Bernhard Hochreiter

M

M. Kunze

B

B. Moser

J

J. Schmid

Format Sitasi

Hochreiter, B., Kunze, M., Moser, B., Schmid, J. (2019). Advanced FRET normalization allows quantitative analysis of protein interactions including stoichiometries and relative affinities in living cells. https://doi.org/10.1038/s41598-019-44650-0

Akses Cepat

Lihat di Sumber doi.org/10.1038/s41598-019-44650-0
Informasi Jurnal
Tahun Terbit
2019
Bahasa
en
Total Sitasi
36×
Sumber Database
Semantic Scholar
DOI
10.1038/s41598-019-44650-0
Akses
Open Access ✓