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Mass-sensitive particle tracking to elucidate the membrane-associated MinDE reaction cycle

MPS-Authors
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Heermann,  Tamara
Schwille, Petra / Cellular and Molecular Biophysics, Max Planck Institute of Biochemistry, Max Planck Society;

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Steiert,  Frederik
Schwille, Petra / Cellular and Molecular Biophysics, Max Planck Institute of Biochemistry, Max Planck Society;

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Ramm,  Beatrice
Schwille, Petra / Cellular and Molecular Biophysics, Max Planck Institute of Biochemistry, Max Planck Society;

/persons/resource/persons15815

Schwille,  Petra
Schwille, Petra / Cellular and Molecular Biophysics, Max Planck Institute of Biochemistry, Max Planck Society;

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Citation

Heermann, T., Steiert, F., Ramm, B., Hundt, N., & Schwille, P. (2021). Mass-sensitive particle tracking to elucidate the membrane-associated MinDE reaction cycle. Nature Methods, 18(10), 1239-1246. doi:10.1038/s41592-021-01260-x.


Cite as: https://hdl.handle.net/21.11116/0000-0009-74D4-5
Abstract
An iSCAT image processing and analysis strategy enables mass-sensitive particle tracking (MSPT) of single unlabeled biomolecules on a supported lipid bilayer. MSPT was used to observe the (dis-)assembly of membrane complexes in real-time.
In spite of their great importance in biology, methods providing access to spontaneous molecular interactions with and on biological membranes have been sparse. The recent advent of mass photometry to quantify mass distributions of unlabeled biomolecules landing on surfaces raised hopes that this approach could be transferred to membranes. Here, by introducing a new interferometric scattering (iSCAT) image processing and analysis strategy adapted to diffusing particles, we enable mass-sensitive particle tracking (MSPT) of single unlabeled biomolecules on a supported lipid bilayer. We applied this approach to the highly nonlinear reaction cycles underlying MinDE protein self-organization. MSPT allowed us to determine the stoichiometry and turnover of individual membrane-bound MinD/MinDE protein complexes and to quantify their size-dependent diffusion. This study demonstrates the potential of MSPT to enhance our quantitative understanding of membrane-associated biological systems.