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Experimental and simulated FRAP for the quantitative determination of protein diffusion in helical cells

Shariful Sakib, Cécile Fradin
August 18, 2026
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Research Abstract & Technology Focus

ABSTRACT Fluorescence recovery after photobleaching (FRAP) is widely used to characterize diffusion in cells, but quantitative interpretation of the data in small prokaryotes requires explicitly accounting for cell geometry. While this has been successfully achieved for spherical and rod-shaped bacteria, analytical approaches developed in these cases are not directly applicable to cells with more complex morphologies. Here, we explore the application of FRAP to helical bacteria using simulations. We show that half-compartment FRAP experiments, where one-half of the cell is photobleached, provide a robust means of characterizing fast protein diffusion. To help with the practical implementation of this technique, we established the relationship between the diffusion coefficient and characteristic fluorescence recovery time as a function of cell length and helical parameters, and for two different ways of estimating the recovery time. As a first application, we report measurements of the diffusion coefficient of the fluorescent protein, mNeonGreen, in the helical bacterium Paramagnetospirillum magneticum AMB-1. We find it to be D = 4.9 ± 2.2 µm 2 s −1 in isosmotic conditions, not significantly different from the value measured in Escherichia coli . Although developed for helical bacteria, including spirilla, spirochetes, and vibrios, our framework can readily be extended to cells or compartments with other geometries.
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What is the core focus of the research titled 'Experimental and simulated FRAP for the quantitative determination of protein diffusion in helical cells'?

This literature focuses on: ABSTRACT Fluorescence recovery after photobleaching (FRAP) is widely used to characterize diffusion in cells, but quantitative interpretation of the data in small prokaryotes requires explicitly accounting for cell geometry. While this has been su...

Are there open-source GitHub repositories related to Experimental and simulated FRAP for the quantitative determination of protein diffusion in helical cells?

Yes, open-source projects like nv-tlabs/PiD (PiD: Fast and High-Resolution Latent Decoding with Pixel Diffusion) are actively building upon these concepts.

What other academic literature is closely related to 'Experimental and simulated FRAP for the quantitative determination of protein diffusion in helical cells'?

Yes, highly correlated activity was mapped. An entry titled 'Enhanced sensitivity and scalability with a Chip-Tip workflow enables deep single-cell proteomics' discusses this: Abstract Single-cell proteomics (SCP) promises to revolutionize biomedicine by providing an unparalleled view of the proteome in ...

Are there commercial applications of 'Experimental and simulated FRAP for the quantitative determination of protein diffusion in helical cells' in market news publications?

Yes, highly correlated activity was mapped. An entry titled 'The local mechanostructural properties of protein cargoes regulate nucleocytoplasmic transport' discusses this: The mechanical stability of proteins affects their import into the nucleus. Now it is shown that protein transport in and out of the nucleus depend...

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