Unmixing of fluorescence spectra to resolve quantitative time-series measurements of gene expression in plate readers

Catherine A Lichten; Rachel White; Ivan Bn Clark; Peter S Swain

doi:10.1186/1472-6750-14-11

Unmixing of fluorescence spectra to resolve quantitative time-series measurements of gene expression in plate readers

Catherine A Lichten, Rachel White, Ivan Bn Clark, Peter S Swain

Research output: Contribution to journal › Article › peer-review

Abstract

To connect gene expression with cellular physiology, we need to follow levels of proteins over time. Experiments typically use variants of Green Fluorescent Protein (GFP), and time-series measurements require specialist expertise if single cells are to be followed. Fluorescence plate readers, however, a standard in many laboratories, can in principle provide similar data, albeit at a mean, population level. Nevertheless, extracting the average fluorescence per cell is challenging because autofluorescence can be substantial.

Original language	English
Article number	11
Journal	BMC Biotechnology
Volume	14
Issue number	1
DOIs	https://doi.org/10.1186/1472-6750-14-11
Publication status	Published - 3 Feb 2014

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10.1186/1472-6750-14-11

1472-6750-14-11
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Final published version, 1.47 MBLicence: Creative Commons: Attribution (CC-BY)

http://www.biomedcentral.com/1472-6750/14/11

A mathematical and experimental study of feedback in the single-cell dynamics of a transcriptional network in budding yeast
Swain, P.
BBSRC
1/09/11 → 31/08/14
Project: Research

Cite this

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abstract = "To connect gene expression with cellular physiology, we need to follow levels of proteins over time. Experiments typically use variants of Green Fluorescent Protein (GFP), and time-series measurements require specialist expertise if single cells are to be followed. Fluorescence plate readers, however, a standard in many laboratories, can in principle provide similar data, albeit at a mean, population level. Nevertheless, extracting the average fluorescence per cell is challenging because autofluorescence can be substantial.",

author = "Lichten, {Catherine A} and Rachel White and Clark, {Ivan Bn} and Swain, {Peter S}",

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Unmixing of fluorescence spectra to resolve quantitative time-series measurements of gene expression in plate readers

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A mathematical and experimental study of feedback in the single-cell dynamics of a transcriptional network in budding yeast

Cite this