Standardization of Fluorescent Reporter Assays in Synthetic Biology across the Visible Light Spectrum.
Lien De WannemaekerFriederike MeyIndra BervoetsMichiel Ver CruysseGeoff S BaldwinMarjan De MeyPublished in: ACS synthetic biology (2023)
In synthetic biology, Fluorescent reporters are frequently used to characterize the expression levels obtained from both genetic parts such as promoters and ribosome binding sites as well as from complex genetic circuits. To this end, plate readers offer an easy and high-throughput way of characterizing both the growth and fluorescence expression levels of cell cultures. However, despite the similar mode of action used in different devices, their output is not comparable due to intrinsic differences in their setup. Additionally, the generated output is expressed using arbitrary units, limiting reliable comparison of results to measurements taken within one single experiment using one specific plate reader, hampering the transferability of data across different plate readers and laboratories. This article presents an easy and accessible calibration method for transforming the device-specific output into a standardized output expressing the amount of fluorescence per well as a known equivalent fluorophore concentration per cell for fluorescent reporters spanning the visible light spectrum. This calibration method follows a 2-fold approach determining both the estimated number of cells and the equivalent chemical fluorophore concentration per well. It will contribute to the comparison of plate reader experiments between different laboratories across the world and will therefore greatly improve the reliability and exchange of both results and genetic parts between research groups.
Keyphrases
- visible light
- high throughput
- single cell
- living cells
- poor prognosis
- quantum dots
- fluorescent probe
- genome wide
- cell therapy
- single molecule
- copy number
- crispr cas
- stem cells
- label free
- energy transfer
- binding protein
- long non coding rna
- dna methylation
- cell cycle arrest
- gene expression
- mesenchymal stem cells
- artificial intelligence
- cell death
- clinical evaluation