Literature DB >> 26419209

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 Wollman1, Mark C Leake.   

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 demonstrate 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 expression inhibitor of the GAL gene family, Mig1, to repress unwanted genes in the presence of elevated extracellular glucose concentrations. We fluorescently labelled Mig1 molecules with green fluorescent protein (GFP) via chromosomal integration at physiological expression levels in living S. cerevisiae cells, in addition to the RNA polymerase protein Nrd1 with the fluorescent protein reporter mCherry. Using CoPro we make quantitative estimates of Mig1 and Nrd1 protein concentrations in the cytoplasm and nucleus compartments on a cell-by-cell basis under physiological conditions. These estimates indicate a ∼4-fold shift towards higher values in the concentration of diffusive Mig1 in the nucleus if the external glucose concentration is raised, whereas equivalent levels in the cytoplasm shift to smaller values with a relative change an order of magnitude smaller. This compares with Nrd1 which is not involved directly in glucose sensing, and which is almost exclusively localized in the nucleus under high and low external glucose levels. CoPro facilitates time-resolved quantification of protein concentrations in single functional cells, and enables the distributions of concentrations across a cell population to be measured. This could be useful in investigating several cellular processes that are mediated by proteins, especially where changes in protein concentration in a single cell in response to changes in the extracellular chemical environment are subtle and rapid and may be smaller than the variability across a cell population.

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Year:  2015        PMID: 26419209     DOI: 10.1039/c5fd00077g

Source DB:  PubMed          Journal:  Faraday Discuss        ISSN: 1359-6640            Impact factor:   4.008


  24 in total

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2.  The emergence of sequence-dependent structural motifs in stretched, torsionally constrained DNA.

Authors:  Jack W Shepherd; Robert J Greenall; Matt I J Probert; Agnes Noy; Mark C Leake
Journal:  Nucleic Acids Res       Date:  2020-02-28       Impact factor: 16.971

3.  Membraneless organelles formed by liquid-liquid phase separation increase bacterial fitness.

Authors:  Xin Jin; Ji-Eun Lee; Charley Schaefer; Xinwei Luo; Adam J M Wollman; Alex L Payne-Dwyer; Tian Tian; Xiaowei Zhang; Xiao Chen; Yingxing Li; Tom C B McLeish; Mark C Leake; Fan Bai
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Review 4.  Use of red, far-red, and near-infrared light in imaging of yeasts and filamentous fungi.

Authors:  István Pócsi; Zsuzsa M Szigeti; Tamás Emri; Imre Boczonádi; György Vereb; János Szöllősi
Journal:  Appl Microbiol Biotechnol       Date:  2022-05-23       Impact factor: 5.560

5.  Single-Organelle Quantification Reveals Stoichiometric and Structural Variability of Carboxysomes Dependent on the Environment.

Authors:  Yaqi Sun; Adam J M Wollman; Fang Huang; Mark C Leake; Lu-Ning Liu
Journal:  Plant Cell       Date:  2019-05-02       Impact factor: 11.277

6.  Characterising Maturation of GFP and mCherry of Genomically Integrated Fusions in Saccharomyces cerevisiae.

Authors:  Sviatlana Shashkova; Adam Jm Wollman; Stefan Hohmann; Mark C Leake
Journal:  Bio Protoc       Date:  2018-01-20

7.  Transcription factor clusters regulate genes in eukaryotic cells.

Authors:  Adam Jm Wollman; Sviatlana Shashkova; Erik G Hedlund; Rosmarie Friemann; Stefan Hohmann; Mark C Leake
Journal:  Elife       Date:  2017-08-25       Impact factor: 8.140

8.  Molecular crowding in single eukaryotic cells: Using cell environment biosensing and single-molecule optical microscopy to probe dependence on extracellular ionic strength, local glucose conditions, and sensor copy number.

Authors:  Jack W Shepherd; Sarah Lecinski; Jasmine Wragg; Sviatlana Shashkova; Chris MacDonald; Mark C Leake
Journal:  Methods       Date:  2020-11-04       Impact factor: 3.608

9.  Correlative single-molecule fluorescence barcoding of gene regulation in Saccharomyces cerevisiae.

Authors:  Sviatlana Shashkova; Thomas Nyström; Mark C Leake; Adam J M Wollman
Journal:  Methods       Date:  2020-10-18       Impact factor: 3.608

10.  Super-Resolution Microscopy in Studying the Structure and Function of the Cell Nucleus.

Authors:  S S Ryabichko; A N Ibragimov; L A Lebedeva; E N Kozlov; Y V Shidlovskii
Journal:  Acta Naturae       Date:  2017 Oct-Dec       Impact factor: 1.845

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