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Measurement of rapid protein diffusion in the cytoplasm by photo-converted intensity profile expansion

Measurement of rapid protein diffusion in the cytoplasm by photo-converted intensity profile expansion
Measurement of rapid protein diffusion in the cytoplasm by photo-converted intensity profile expansion
The fluorescence microscopy methods presently used to characterize protein motion in cells infer protein motion from indirect observables, rather than measuring protein motion directly. Operationalizing these methods requires expertise that can constitute a barrier to their broad utilization. Here, we have developed PIPE (photo-converted intensity profile expansion) to directly measure the motion of tagged proteins and quantify it using an effective diffusion coefficient. PIPE works by pulsing photo-convertible fluorescent proteins, generating a peaked fluorescence signal at the pulsed region, and analyzing the spatial expansion of the signal. We demonstrate PIPE's success in measuring accurate diffusion coefficients in silico and in vitro and compare effective diffusion coefficients of native cellular proteins and free fluorophores in vivo. We apply PIPE to measure diffusion anomality in the cell and use it to distinguish free fluorophores from native cellular proteins. PIPE's direct measurement and ease of use make it appealing for cell biologists.
Animals, COS Cells, Chlorocebus aethiops, Computer Simulation, Cytoplasm/metabolism, Diffusion, Green Fluorescent Proteins/metabolism, Light, Photochemistry/methods, Proteins/metabolism, Reproducibility of Results, Solutions
2211-1247
2795-2806
Gura Sadovsky, Rotem
ae8c5e4b-58cd-4790-8796-cc95a8ddb6da
Brielle, Shlomi
580d39ee-c7f1-4cf0-84be-2967ee240e13
Kaganovich, Daniel
ebb13f4e-e925-4aef-88e7-ddc25ef52d8f
England, Jeremy L
2f67b12b-9d45-4530-8d48-00034a22e9f9
Gura Sadovsky, Rotem
ae8c5e4b-58cd-4790-8796-cc95a8ddb6da
Brielle, Shlomi
580d39ee-c7f1-4cf0-84be-2967ee240e13
Kaganovich, Daniel
ebb13f4e-e925-4aef-88e7-ddc25ef52d8f
England, Jeremy L
2f67b12b-9d45-4530-8d48-00034a22e9f9

Gura Sadovsky, Rotem, Brielle, Shlomi, Kaganovich, Daniel and England, Jeremy L (2017) Measurement of rapid protein diffusion in the cytoplasm by photo-converted intensity profile expansion. Cell Reports, 18 (11), 2795-2806. (doi:10.1016/j.celrep.2017.02.063).

Record type: Article

Abstract

The fluorescence microscopy methods presently used to characterize protein motion in cells infer protein motion from indirect observables, rather than measuring protein motion directly. Operationalizing these methods requires expertise that can constitute a barrier to their broad utilization. Here, we have developed PIPE (photo-converted intensity profile expansion) to directly measure the motion of tagged proteins and quantify it using an effective diffusion coefficient. PIPE works by pulsing photo-convertible fluorescent proteins, generating a peaked fluorescence signal at the pulsed region, and analyzing the spatial expansion of the signal. We demonstrate PIPE's success in measuring accurate diffusion coefficients in silico and in vitro and compare effective diffusion coefficients of native cellular proteins and free fluorophores in vivo. We apply PIPE to measure diffusion anomality in the cell and use it to distinguish free fluorophores from native cellular proteins. PIPE's direct measurement and ease of use make it appealing for cell biologists.

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More information

Accepted/In Press date: 17 February 2017
Published date: 14 March 2017
Additional Information: Copyright © 2017 The Authors. Published by Elsevier Inc. All rights reserved.
Keywords: Animals, COS Cells, Chlorocebus aethiops, Computer Simulation, Cytoplasm/metabolism, Diffusion, Green Fluorescent Proteins/metabolism, Light, Photochemistry/methods, Proteins/metabolism, Reproducibility of Results, Solutions

Identifiers

Local EPrints ID: 475601
URI: http://eprints.soton.ac.uk/id/eprint/475601
ISSN: 2211-1247
PURE UUID: 1bb0bb08-53cb-492d-bb7a-4a347d57b2ff
ORCID for Daniel Kaganovich: ORCID iD orcid.org/0000-0003-2398-1596

Catalogue record

Date deposited: 22 Mar 2023 17:36
Last modified: 17 Mar 2024 04:17

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Contributors

Author: Rotem Gura Sadovsky
Author: Shlomi Brielle
Author: Daniel Kaganovich ORCID iD
Author: Jeremy L England

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