Interlab

Brief history

Over the past years, iGEM has advanced the frontiers of science with the biggest interlaboratory study ever done in synthetic biology. These studies established a baseline for replicability of fluorescence measurements and identified likely key sources of error and have now been published as an open-access journal article in PLOS ONE.

The InterLab study has been developing a robust measurement procedure for green fluorescent protein (GFP) over the last several years. GFP was chosen as the measurement marker for this study since it's one of the most used markers in synthetic biology and, as a result, most laboratories are equipped to measure this protein.

The fifth interlab study

The fifth international InterLab study aims to identify and correct the sources of systematic variability in synthetic biology measurements, so that eventually, measurements that are taken in different labs will be no more variable than measurements taken within the same lab. This year, we helped in answering the following question: Can we reduce lab-to-lab variability in fluorescence measurements by normalizing to absolute cell count or colony-forming units (CFUs) instead of OD?

Materials and methods

For this study, we transformed six different plasmids, along with a negative and positive control into E. coli K-12 DH5-alpha. The plasmids, from here on referred to as devices, contain a constitutive promoter with low, medium or high strengths. The test devices express GFP (as a reporter in the pSB1C3 backbone). A plasmid containing a constitutive promoter and GFP sequence (BBa_I20270) and a plasmid containing a TetR repressible promoter (BBa_R0040) in the pSB1C3 backbone, were used as positive and negative controls. All plasmids were delivered to us in the iGEM 2018 distribution kit.

We made overnight cultures of two colonies of each transformation plate. The following day, the OD600 values of the overnight cultures were measured, diluted to a target OD600 of 0.02 and grown over 6 hours. Afterward, the absorbance (600 nm) and fluorescence (ex. 485 – em. 520, gain = 50) of the growing cultures were measured in a 96 wells black plate in a plate reader (TECAN M200 Infinite) at 0, 3 and 6 hours.

Results

Calibration 1: reference point

We measured Abs600 of LUDOX and H2O to use them as a reference point to obtain a ratiometric conversion factor. By multiplying this factor with the raw Abs600 measurement data, we could transform our absorbance data into a standard OD600 measurement, accounting for instrument differences.

(Table)

Calibration 2: Particle Standard Curve

We prepared dilution series of monodisperse silica microspheres and measured the Abs600 in our plate reader. The size and optical characteristics of these microspheres are similar to cells, and there is a known amount of particles per volume. This measurement allowed us to construct a standard curve of particle concentration which can be used to convert Abs600 measurements to an estimated number of cells.

(Particle standard curve and particle standard curve log scale graphs)

Values should form a straight line, with a 1:1 slope, on both linear and log scale curves. The particle standard curve forms a perfect line with a partial 1:1 slope. A possible explanation suggests a consistent pipetting error causing this partial 1:1 slope. Furthermore, the particle standard curve (log scale) doesn’t form a linear curve. To obtain the wanted curve, we should form a baseline for our measurements where we neglect the water’s absorbance at 600 nm.

Calibration 3: Fluorescence standard curve

To make the standard curve of fluorescence for fluorescein concentration, we made a dilution series of fluorescein in a 96 wells black plate and measured fluorescence with the same settings as the cell measurements. With this standard curve, we could correct our cell measurements to an equivalent fluorescein concentration, ultimately converting this into a concentration of GFP.

Cell measurements

After obtaining OD600 and fluorescence raw readings, the fluorescence per OD ratio was calculated to determine each promotor’s strength. We see that the promoter (J23101) in 1 (BBa_J364000) and the promoter (J23100) in test device 4 (BBa_J364007) are indeed the strongest promoters, as the GFP expression seems high. However, the promoter (J23106) in test device 2 (BBa_J364001) and the promoter (J23116) in device 6 (BBa_J364009) have a medium strength, as the GFP expression was observed to have a medium increase. Whereas the promoter (J23117) in test device 3 (BBa_J364002) and the promoter (J23104) in test device 5 (BBa_J364008) showed have a low strength, as the GFP expression showed a low increase.

(Graph)

These results suggest that the promoter J23101 and J23100 had the strongest affinity for the RNA polymerase when compared with other promoters. Almost all E. coli strains show a high OD600 value, suggesting a relatively unaffected growth. Thus, the transformed plasmids aren’t toxic to the cells.