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Reliable measurement of E. coli single cell fluorescence distribution using a standard microscope set-up

Overview of attention for article published in Journal of Biological Engineering, February 2017
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Title
Reliable measurement of E. coli single cell fluorescence distribution using a standard microscope set-up
Published in
Journal of Biological Engineering, February 2017
DOI 10.1186/s13036-017-0050-y
Pubmed ID
Authors

Marilisa Cortesi, Lucia Bandiera, Alice Pasini, Alessandro Bevilacqua, Alessandro Gherardi, Simone Furini, Emanuele Giordano

Abstract

Quantifying gene expression at single cell level is fundamental for the complete characterization of synthetic gene circuits, due to the significant impact of noise and inter-cellular variability on the system's functionality. Commercial set-ups that allow the acquisition of fluorescent signal at single cell level (flow cytometers or quantitative microscopes) are expensive apparatuses that are hardly affordable by small laboratories. A protocol that makes a standard optical microscope able to acquire quantitative, single cell, fluorescent data from a bacterial population transformed with synthetic gene circuitry is presented. Single cell fluorescence values, acquired with a microscope set-up and processed with custom-made software, are compared with results that were obtained with a flow cytometer in a bacterial population transformed with the same gene circuitry. The high correlation between data from the two experimental set-ups, with a correlation coefficient computed over the tested dynamic range > 0.99, proves that a standard optical microscope- when coupled with appropriate software for image processing- might be used for quantitative single-cell fluorescence measurements. The calibration of the set-up, together with its validation, is described. The experimental protocol described in this paper makes quantitative measurement of single cell fluorescence accessible to laboratories equipped with standard optical microscope set-ups. Our method allows for an affordable measurement/quantification of intercellular variability, whose better understanding of this phenomenon will improve our comprehension of cellular behaviors and the design of synthetic gene circuits. All the required software is freely available to the synthetic biology community (MUSIQ Microscope flUorescence SIngle cell Quantification).

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Mendeley readers

The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
China 1 2%
Canada 1 2%
Unknown 41 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 21%
Student > Master 8 19%
Student > Bachelor 6 14%
Student > Ph. D. Student 5 12%
Professor > Associate Professor 3 7%
Other 3 7%
Unknown 9 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 28%
Biochemistry, Genetics and Molecular Biology 8 19%
Engineering 4 9%
Physics and Astronomy 2 5%
Chemistry 2 5%
Other 2 5%
Unknown 13 30%