Team:Grenoble-Alpes/Demonstrate
Template loop detected: Template:Grenoble-Alpes
DEMONSTRATE
The following page contains the results and succes that we actually obtained with our system.
Tests were performed on a biological transformation because we knew that the tricky part would be the cooling step of the thermal shock. In fact, the module could only go down to around 11 degrees so we looked out for literature about optimization of the transformation.
What literature has to tell us
As a reminder, a biological transformation or as it is also called a “temperature shock transformation” is typically a succession of a cold – hot –cold treatment from 0°C to 42°C and back to 0°C to induce the transfer of exogenous genetic material in competent bacteria.
According to a study [1] about the effect of Heat Shock Temperature, Duration, and Cold Incubation, “Escherichia coli BW25113 transformed with the pUC19 cloning vector at cold-step temperatures of 0°C, 4°C, 10°C, and 20°C demonstrated no significant difference in transformation efficiency. When the same strain was transformed using approximately a 20°C difference between the cold-step and hot-step treatments: 0 → 20 → 0°C and 20 → 42 → 20°C, no significant difference in transformation efficiency was observed between the two treatments.”
Considering the results of this study, we hypothesized that because the module has more than a 20°C difference between the cold-step and the hot-step (in fact, between 11°C and 42°C, there is a difference of 31°C), the transformation should succeed. However, the question was to know how well it would succeed. To test this, a few parameters could be changed: the DNA concentration or the type of competent bacteria for instance.
Petri dishes experiments
We first tried to transform pSB1C3-BBa_J04450 plasmids in competent DH5α bacteria and Top10 (two different E. coli strains) and growed colonies on petri dishes.
Goals:
- Verify that the heating and cooling modules work
- Test the efficiency of a transformation as a function of the DNA quantity and plot a curve similar to the following 24th figure.
- Test the efficiency of the module compared to a classical transformation using two different competent bacteria (Top10 and DH5α).
The protocols for these experiments are available in the protocol page.
Fluorescence kinetic
Goals:
- Test the performance of Top10 competent bacteria (another E.coli strain with different features) during a bacterial transformation in the module by observing the fluorescence with a microplate reader.
- Compare the efficiency of Top10 competent bacteria with DH5α competent bacteria.
- Get information on how long it takes for bacteria to start producing enough fluorescence to detect it with a microplate reader.
The protocols for these experiments are available in the Appendix 3.
Results
Results on Petri dishes
The following part describes the results of the first experiment on DH5α and Top10 bacteria, where a classical transformation and the module were compared. As a reminder, the plasmids transformed inside the competent bacteria contain a RFP (Red Fluorescent Protein) gene. Hence, if the transformation is a success, the bacteria will start to emit a red fluorescence after a certain amount of time.
For the experiment with DH5α, the conditions were not optimal. The ambient temperature was over 35°C and the cooling module could not go under 18°C (so the temperature difference between the cold-step and the hot-step was only 24°C). This surely had an impact on the results in a bad way.
After one night, the Petri dishes were photographed and the colonies counted.
The first observation to make is that there are colonies in the Petri dishes realized with the module, so the transformation module works. However, there are much less colonies in the dishes from the module than from the classical transformation in this experiment. Hence, it was not as effective as a classical transformation.
In the following graphics (figures 3 and 4), the number of colonies as a function of the initial DNA concentration used to realize the transformation (dark blue curve) is compared to the efficiency of the transformation (ratio between the number of colonies and the initial concentration of DNA) in light blue on the graphics.
As we can see, even though the number of transformed colonies is increasing as the DNA concentration is increasing (which is logical because if bacteria are more in contact with DNA, the chances that they will integrate it in their genome is greater), there is a pic of efficiency and then it starts to go down very rapidly.
This information is interesting for the optimization of the whole system. In fact, if the efficiency is good, a lot of bacteria will have integrated the plasmid containing the RFP and a resistance gene to chloramphenicol. Hence, when the antibiotic is added, less bacteria will be killed and dead bacteria remains will not crowd the medium. The development of fluorescent bacteria will be easier.
For the experiment with Top10 bacteria, the weather conditions were much better and the cooling module could go to 11°C.
After one night, the Petri dishes were photographed (see figure 5)
By observing the two petri dishes on top and comparing them to the two from the bottom of the figure, we can deduce that, on average, there is not a huge difference in the number of colonies (especially for the second set where the number of colonies is approximately the same). This means that for this experiment, the transformation module was as efficient as a classical transformation.
Moreover, when comparing the Petri dishes made with commercial Top10 and Top10 we made competent, there is not either a significant difference in the number of colonies. The conclusion we can make here is that for our use of those bacteria, the one prepared in our lab are enough and no need to buy commercial Top10.
One of the main goal of the project was also to realize at least one biological step in our engineered system. Finally, we managed to realize a purification step with BL21 bacteria and using a lysis buffer instead of phages.
We wrote an entire Arduino computer code able to control the different elements of the system : the pipette, the linear guide, the rotative plate, the heating system, the actuator with the magnet holder. With the coordinated control of this different element, we successfully managed to realize the transformation. Below is the protocol that the Arduino code executes.
Protocol realized:
Add 200µL of Buffer 1 (Lysis Buffer)
Add 100µL of bacteria + wait 10 minutes
20µL of magnetic beads + wait 10 minutes
Bring magnets next to the tube to attract the magnetic beads and extract the waste liquid
Add 300µL of Buffer 1 (Lysis Buffer), flush, extract the liquid while magnets attract the beads and throw to the waste.
(Add 300µL of Buffer 2 (Wash 2), extract while magnets attract the beads and throw to the waste the liquid) * 2 times
Add 300µL of Buffer 3 (Elution), extract while magnets attract the beads and throw to the waste the liquid.
Eluate once more with 30µL of Buffer 3 + heat to 70°C during 5 minutes (DNA detaches from the beads)
Extract while magnets attract the beads and store the liquid (DNA).
The Arduino computer code allowing to realize this process is available here in this zip file.
We obtained with a nanodrop absorbance measurement a concentration of 38,4ng/uL and a purity of 1.87. The purity is between 1.8 and 2.0 so it means that the purity is acceptable for DNA. [4]. As for the concentration, we can’t tell if it is consistent or not because we did not measure the OD of the bacteria sample before the experience. Anyway it is not a value close to null so we still can tell that we extracted DNA.
That proves that our machine works ! And with more time, we could consider realizing the other steps of the biological process in the machine to have a proof of concept for the whole system. We could also spend more time to characterize the efficiency of the machine comparing to the process realized outside the machine.
Below is a video capturing the purification:
Our fluorescence sensor is able to detect fluorescence in samples where the optical density is at least of 0.014. You can find more explanations about our fluorescence unit here.