2020
DOI: 10.1021/acssynbio.0c00296
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FlopR: An Open Source Software Package for Calibration and Normalization of Plate Reader and Flow Cytometry Data

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 … Show more

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Cited by 26 publications
(43 citation statements)
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“…1 a). The engineered strain is further weakened through the constitutive expression of mCherry from one of the plasmids (p63_AF043), which also allows the separation of the engineered and competitor strains in the plate reader 40 . The competitor strain excludes the engineered strain when the bacteriocin is mutationally inactivated 41 , but is outcompeted with complete bacteriocin expression (Fig.…”
Section: Resultsmentioning
confidence: 99%
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“…1 a). The engineered strain is further weakened through the constitutive expression of mCherry from one of the plasmids (p63_AF043), which also allows the separation of the engineered and competitor strains in the plate reader 40 . The competitor strain excludes the engineered strain when the bacteriocin is mutationally inactivated 41 , but is outcompeted with complete bacteriocin expression (Fig.…”
Section: Resultsmentioning
confidence: 99%
“… a The two strains are co-cultured in a microtitre plate and the subpopulation fractions are determined using fluorescent proteins in the engineered strain and the FlopR software 40 , allowing us to track the population dynamics over time. b The blue shaded area shows the period during which the competitor ratio is above its initial ratio; the orange shaded area shows the same for the engineered strain.…”
Section: Resultsmentioning
confidence: 99%
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“…First, the raw signals have to be converted into units, which can be universally compared across any device. This can be done by referencing arbitrary unit measurements from different instruments and scales to the signal intensity derived from defined standards, such as fluorescein [113]. Finally, these defined units can be correlated to a mass, such as the cell dry weight of biomass.…”
Section: Open Accessmentioning
confidence: 99%