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Related Experiment Video

Updated: Jun 21, 2026

Study of Protein Dynamics via Neutron Spin Echo Spectroscopy

Study of Protein Dynamics via Neutron Spin Echo Spectroscopy

Published on: April 13, 2022

Atomic-scale dynamics inside living cells explored by neutron scattering.

Marion Jasnin¹

¹Institut Laue-Langevin, 6 rue Jules Horowitz, BP 156, 38042 Grenoble Cedex 9, France. jasnin@ill.fr

Journal of the Royal Society, Interface

|July 10, 2009

Summary

Single-particle neutron spectroscopy reveals molecular dynamics in living cells. This technique, using isotope labeling, offers insights into atomic motions and macromolecular dynamics crucial for biological function.

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Last Updated: Jun 21, 2026

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Studying Soft-matter and Biological Systems over a Wide Length-scale from Nanometer and Micrometer Sizes at the Small-angle Neutron Diffractometer KWS-2

Published on: December 8, 2016

Area of Science:

Biophysics
Cellular Dynamics
Neutron Scattering

Background:

Single-particle neutron spectroscopy provides experimental data on molecular dynamics in biological systems.
This technique probes atomic and molecular motions in macromolecules on the picosecond to nanosecond timescale, essential for biological function.

Purpose of the Study:

To report on recent neutron measurements performed directly in living cells using isotope labeling.
To explore the dynamics of specific cellular components and establish an integrated view of cellular dynamics.

Main Methods:

Utilized single-particle neutron spectroscopy with isotope labeling directly in living cells.
Performed comparative measurements to highlight the technique's usefulness in studying biological dynamics.

Main Results:

Demonstrated the ability to explore dynamics of specific cellular components in living cells.
Provided insights into atomic-scale cell water dynamics, macromolecular motions, and solvent isotope effects.

Conclusions:

Neutron scattering is a valuable technique for gaining insight into biologically relevant dynamical features.
The developed method can be applied to identify dynamical signatures related to cell characteristics across various cell types and organelles.