Measurement

Part:BBa_J10051:Experience

Designed by: Malcolm Campbell   Group: iGEM2005   (2012-01-04)
Revision as of 16:21, 21 October 2019 by Nikhita (Talk | contribs)


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Applications of BBa_J10051

Lambert 2019 used this part in experiments to model the effect of different promoter strengths and ribosomal binding strengths to develop a model to aid in controlling expression in constructs.

User Reviews

Lambert_GA 2019 Characterization

Characterization of weak promoter (BBa_J23113) and strong RBS (BBa_B0034)

Differences in promoter strength had more effect on enzymatic expression compared to differences in RBS strengths as evidenced in the graphs below. Lambert_GA 2019 had originally thought that BBa_J10051 would result in the least amount of expression out of the tested combinations, but this part, along with BBa_J10050 and BBa_J10052, all shared the lowest expression out of the combinations. This is due to the translation rate not being an important factor in the determination of expression of ONP; however, the promoter strength is a significant factor. In other words, expression values are significantly different with different promoters but not with different RBS strengths.

T--Lambert GA--tuning3b.png


Figure 1: The highlighted points in yellow represent BBa_J10051 (weak promoter/ strong RBS) compared to BBa_J10050(weak promoter/ weak RBS) and BBa_J10052(weak promoter/ medium RBS), both in light blue. The weak, medium, and strong RBS have similar expression levels when in combination with the weak promoter.



T--Lambert GA--tuning3a.png


Figure 2: The highlighted points represent the BBa_J10051 composite part (weak promoter/ strong RBS). As the promoter strength increases, the expression increases as well.


The graphs above show that RBS strength has a negligible effect on expression, whereas increased promoter strength increases expression.




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