Millisecond single-molecule localization microscopy combined with convolution analysis and automated image segmentation to determine protein concentrations in complexly structured, functional cells, one cell at a time
Adam J. M. Wollman, Mark C. Leake

TL;DR
This paper introduces the CoPro method, a rapid single-molecule imaging technique combining convolution analysis and automated segmentation to accurately measure protein concentrations in live cells, validated on bacteria and yeast.
Contribution
The novel CoPro method enables precise, real-time quantification of protein concentrations in specific cell compartments using millisecond imaging and super-resolution microscopy.
Findings
Mig1 concentration increases in the nucleus with higher glucose levels
CoPro accurately estimates protein distributions in complex cell structures
Method validated on E. coli and yeast cells
Abstract
We present a single-molecule tool called the CoPro (Concentration of Proteins) method that uses millisecond imaging with convolution analysis, automated image segmentation and super-resolution localization microscopy to generate robust estimates for protein concentration in different compartments of single living cells, validated using realistic simulations of complex multiple compartment cell types. We demonstrates its utility experimentally on model Escherichia coli bacteria and Saccharomyces cerevisiae budding yeast cells, and use it to address the biological question of how signals are transduced in cells. Cells in all domains of life dynamically sense their environment through signal transduction mechanisms, many involving gene regulation. The glucose sensing mechanism of S. cerevisiae is a model system for studying gene regulatory signal transduction. It uses the multi-copy…
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