More Potentially Revolutionary Developments in Gene Expression
More on the new development:
For synthetic biologists a key goal is to use RNA to automatically engineer synthetic sequences that encode functional RNA sequences in living cells. While earlier RNA design attempts have mostly been developed in vitro or needed fragments of natural sequences to be viable, scientists at Institut de biologie systémique et synthétique in France have recently developed a fully automated design methodology and experimental validation of synthetic RNA interaction circuits working in a cellular environment. Their results demonstrate that engineering interacting RNAs with allosteric behavior in living cells can be accomplished using a first-principles computation.These are interesting and powerful ideas. Not only can this technique be used to provide new levels of control and monitoring of gene expression -- they can also be used to create new types of computational devices using biological materials.
...Drs. Alfonso Jaramillo, Guillermo Rodrigo, and Thomas E. Landrain had to address several challenges in their study. "It is common practice – and unavoidable – to use computational algorithms to aid in the design of RNA molecules," Jaramillo tells Phys.org. For example, he illustrates, computing minimum energy conformation, since one single nucleotide can stabilize an alternative conformation. Until now researchers have used computer assisted design to design synthetic RNAs that could combine functional fragments from known RNAs.
...This evolutionary computation technique relies on mimicking the relevant steps of natural evolution, that is, the iterative improvement of a given solution by using selection. "However, we don't have to be slaves of analogy and are free to consider what we think is more relevant to our problem," Jaramillo points out. "We would start from a random sequence and would randomly modify it by applying simulated annealing techniques, implemented by a Metropolis Monte Carlo algorithm," which solves a problem by generating suitable random numbers and observing that fraction of the numbers obeying some property or properties. "Contrary to natural evolution, our walks would not be completely adaptive but we could allow a decrease in fitness. We aim at the engineering of an ensemble of RNA species that could interact in a predefined way. Our first challenge was that in living cells, such molecules are very prone to degradation if they do not have a stable structure."
...After publishing the PNAS manuscript, Jaramillo adds, the team further validated the orthogonality (the ability to selectively translate mRNA) of their RNAs in E. coli. They're also constructing a XOR gate device working inside the cell – something never done in bacteria and just recently achieved in mammals1.
The researchers are planning to extend the methodology to include the RNA-small molecule interactions and the incorporation of known functional RNA sequence fragments (such as ribozyme sequences) to create complex RNA interactions never seen before. "We've already succeeded in experimentally validating in E. coli a new type of such an interaction, consisting of an inactivated riboregulator that could be activated by a ribozyme after the introduction of a small-molecule inducer."In this type of reaction, the number of different species is not conserved, as after the introduction of the inducer we get a RNA cleavage. "We've named this new riboregulator-ribozyme chimera a regazyme, and have also validated the full design of a riboswitch.
Jaramillo also notes that other research might benefit from their findings, including the high-throughput design of new regulators for large-scale engineering projects. "Also, we can foresee using allosteric RNAs to sense mRNAs by being subject to a conformational change after binding that could trigger a reporter." This would open the way to genetically-encoded and non invasive monitoring of gene expression dynamics – an important and unmet challenge in biophysics. "We're also exploring the use of RNA," Jaramillo concludes, "to create artificial signal transduction cascades." _Phys.org
Study abstract in PNAS
Using DNA, RNA, or proteins to create logic circuits in cells may seem like a waste of time when we already have such powerful silicon-based computational devices. But the ability to embed designed computation at the cellular level provides humans with a level of explicit and specific fine control over biological functions which was only dreamed of in the past.
And it is likely that we will need that level of control to accomplish the conquest of cancer, degenerative disease, and ageing -- to say nothing of our quest to grow ever wiser and brighter.