Over the last few months we’ve had questions from the community on what the best input DNA concentration is when expressing protein, such as GFP, in liposomes. As we’ve been validating and tuning modules for the Detector Cells this question has come up for us as well.
Takeaways
Parts used
pT7-deGFP
DNA construct.A zoomed video of expression in the liposomes containing 100 ng/uL pT7-deGFP
DNA.
A zoomed video of expression in the liposomes containing 100 ng/uL pT7-deGFP
DNA.
Expression kinetics of GFP expression at each DNA concentration. Lines are generated using the liposome analysis toolkit, and represent the mean expression level of the top 1% of liposomes in the sample. We filter the top 1% as a coarse way to separate out the lower group of the bimodal distribution in each sample; we are working on ways to better categorize this group and to understand why it appears.
Correlation of top 1% liposome fluorescence to input DNA concentration. It appears that there may be two expression regimes, or a saturation effect.
Representative “fog plot” of GFP expression at 100 ng/uL input DNA concentration. Note the bimodal distribution that emerges over time.
Full-well capture of GFP expression at 100 ng/uL input DNA concentration. Note the “blinking” as expressing liposomes leak or are quenched throughout the timecourse. We are working on analyzing the statistics of this effect, to determine if it is correlated with DNA concentration or time. Warning: large video file.
Fog plots of expression at all DNA concentrations. In all samples, there is a large population of liposomes that do not increase in expression, potentially indicating a loading effect that prevents some liposomes from expressing DNA correctly.