Our team has gone through several engineering cycles in order to establish a reliable characterization circuit for the Senders cells and a steep biological activation function in the Receiver Cells.
An overview of our successful constructs and parts is presented. For a detailed analysis of our engineering cycles, please push the respective buttons.
Our step-by-step approach begins with the characterization of the LuxR activation system in its simplest form, an open loop circuit.
Model guided design
In terms of dry lab simulations, before our team began with the OL (BBa_K4294801) construct characterization in the lab, we performed some parametric simulations with emphasis on three different design parameters; the construct’s copy number and the RBS variants used in the open loop circuit, regarding the production rates of LuxR and mNeonGreen. For that purpose, our modeling team used the whole-cell model for the OL construct, which is more analytically described in the receiver’s Model page.
With the goal to build an ultrasensitive, switch-like response, and inspired by previous related work, two circuit designs in two variations regarding the basal LuxR expression were chosen. A LuxR transcriptional Positive Feedback loop (PF BBa_K4294802 and PFc BBa_K4294803) and a circuit that incorporates an extra repressor (PhlF) that is regulated by LuxR (PFR BBa_K4294804 , PFcR BBa_K4294805) resulting in a coherent feedforward loop with an embedded LuxR transcriptional Positive Feedback.
Dry Lab Prediction
In terms of design simulations, we were able to perform a simulation of the more complex constructs in parallel with the characterisation of OL constructs by the wet lab, which was valuable for potential design reconsiderations regarding the circuit’s dynamics in case the predictions indicated no success regarding the steepness of the response curve. As analyzed in the receiver’s model section , we used some of the fitted parameters from the OL system and alongside the rest of the literature ones we received the following whole-cell transfer functions of the constructs of PF, PFR and PFC. For that purpose, and in order to have a proportional comprehension of the differences between all 4 constructs, we used the same steepness of curve parameter that was produced via OpLo’s model fit (n=0.5).
\( \sum_{1}^{n} \frac{(x-x_{mean})*(y-y_{mean})}{(x-x_{mean})^2} \ \)
Construct Name | Slope Value |
---|---|
OpLo Fitted | 9865.963124200252 *10^(5) |
PF simulation | 10158.234094974923 *10^(5) |
PFc simulation | 9804.986979851485 *10^(5) |
PFR simulation | 14004.347302977303 *10^(5) |
From table 1, we can assume that the PFR construct is the one for the most potential in order to reproduce a steep activation function, since it gives us the highest slope value. In terms of the initiation point, since PFR has the lowest one, we assume that a potential increase in receiver's volume should be needed (it was later shown in the Proof of concept page).
Even though every circuit would be experimentally tested, the above simulation would aid a potential redesign of a circuit in parallel with the experiments in case of no functional circuits predicted.
The goal of the sender characterisation circuit was the characterisation of the different translation rates of the LuxI synthase provided by our Ribosome Binding Site collection. Our first design incorporated a bicistronic module including the
Ribosome binding sites are quite variable parts and their behaviour is strongly influenced by the upstream and downstream genetic context. For example, a binding interaction with the first nucleotides of the coding sequence might trap the RBS inside a stem-loop, hindering Ribosome binding and translation initiation. This means that characterizing our synthetic RBS collection simply by using a fluorescent protein’s CDS would not be the right approach, since the genetic context in such characterisation would be different from the genetic context of the LuxI coding region.
In the research paper by Mutalik et. al [6], bicistronic-like translation initiation elements (the BCDs, that we have also included in our parts) were evaluated for their performance variability regarding the genetic context at the 5’UTR:CDS junction. Different genetic contexts were introduced by assembling a test panel of 14 chimeric reporter genes of interest (GOIs) by fusing the first 36 nucleotides from the coding sequences of several transcription factors or enzymes in-frame to the second codon of a gene encoding GFP or RFP. These 36 nucleotides are considered sufficient to imitate the genetic context of the CDS of origin and at the same time do not alter the function of the sfGFP, making these constructs a reliable way to characterise RBS performance in different genetic contexts.
We deployed this strategy by creating a new fusion. The 36 first nucleotides of the LuxI synthase were fused with the sfGFP coding sequence, creating a new characterisation part.
The paper on the
For the senders’ basic circuit we designed 11 different sender populations, each one with a different RBS variant defining the translation rate of LuxI, namely with a different weight in determining the final systems’ output. The goal was to determine the right combination of senders populations that would perform the desired computation task.
After deciding that the input patterns would be generated by one chemical inducer, a problem that emerged was keeping the supposedly “0” senders in the pattern uninduced. Even with washes before the senders are mixed, residual aTc might result in unwanted activation of a sender subpopulation and mess up the initial pattern. We decided to incorporate TetX, a tetracycline inactivation enzyme that breaks down aTc, in our cross-talk tackling strategy. As mentioned in the Design section, this construct ( BBa_K4294790 ) was designed with pTKEI-Dest as its backbone, because its ori (incompatibility group A) would not interfere with the replication of the senders’ final construct (incompatibility group B). pTKEI would be co-transformed in the senders we wished to keep uninduced in the specific pattern.