Difference between revisions of "Part:BBa K4511000"

Revision as of 10:44, 11 October 2022

dtRNA1

Degradation-tuning RNAs(dtRNAs) are hairpin-shaped RNA structures placed on the 5' untranslated region of the mRNA, and they could modulate the degradation rate constant of prokaryotic mRNA by resisting endocellular RNase attack. This part is one of the coding sequences of dtRNA published by Zhang et al.in 2021. dtRNA1 is the first-ranking dtRNA in the fluorescence measurements, indicating this dtRNA has a relatively strong ability to resist mRNA degradation from endocellular RNases in E.coli.

This part type could increase the yield of expressed products without posting an extra metabolic burden to the host cell since it facilitates product accumulation by decreasing degradation rather than enhancing gene expression. For protein products such as GFP reporters, it regulates the dynamic range of concentration up to several folds. For functional RNA products, the effect is much more prominent since the anti-degradation effect on mRNA is more direct. In principle, this type of part could be used in distinct research directions in synthetic biology. For example, dtRNA could improve the yield of valuable products in biosynthesis by circumventing the trade-off between gene expression and excessive cellular pressure. With the help of dtRNAs, it is possible for advanced genetic circuits with enhanced complexity to work in living systems, eventually promoting the materialization of arbitrarily-designed artificial organisms.

Scheme: Functions and downstream applications of dtRNAs

dtRNAs are compact in size(10-60 nucleotides). For usage, they are compatible with most assembly methods that use overlapping primers containing dtRNA coding sequences and accessorial adaptor sequences as integration fragments in HiFi assembly, Golden Gate assembly, and Biobrick assembly.

Characterization by 2022 team HUS_United

Figure 1: structure of dtRNA1 predicted by NUPACK

This year our team attempted to introduce the newly published degradation-tuning RNAs as a powerful toolbox to the iGEM community. We used NUPACK to predict the secondary structure of dtRNAs, and compare the key structural parameters with correspondent optimal conditions.

Sequence and Features