Abstract：
:The measurement of gene expression using fluorescence markers has been a cornerstone of synthetic biology for the past two decades. However, the use of arbitrary units has limited the usefulness of these data for many quantitative purposes. Calibration of fluorescence measurements from flow cytometry and plate reader spectrophotometry has been implemented previously, but the tools are disjointed. Here we pull together, and in some cases improve, extant methods into a single software tool, written as a package in the R statistical framework. The workflow is validated using Escherichia coli engineered to express green fluorescent protein (GFP) from a set of commonly used constitutive promoters. We then demonstrate the package's power by identifying the time evolution of distinct subpopulations of bacteria from bulk plate reader data, a task previously reliant on laborious flow cytometry or colony counting experiments. Along with standardized parts and experimental methods, the development and dissemination of usable tools for quantitative measurement and data analysis will benefit the synthetic biology community by improving interoperability.
journal_name
ACS Synth Bioljournal_title
ACS synthetic biologyauthors
Fedorec AJH,Robinson CM,Wen KY,Barnes CPdoi
10.1021/acssynbio.0c00296subject
Has Abstractpub_date
2020-09-18 00:00:00pages
2258-2266issue
9issn
2161-5063journal_volume
9pub_type
杂志文章abstract：:The microbial ability to resist stressful environmental conditions and chemical inhibitors is of great industrial and medical interest. Much of the data related to mutation-based stress resistance, however, is scattered through the academic literature, making it difficult to apply systematic analyses to this wealth of...
journal_title：ACS synthetic biology
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journal_title：ACS synthetic biology
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journal_title：ACS synthetic biology
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