NGF Secretion BBa_K2616000

DNA assembly

The sequence we designed codes for two different proteins: proNGF (Nerve Growth Factor) and TEV protease (from Tobacco Etch Virus). These two proteins are fused in C-terminal with a signal peptide for Escherichia coli Type I Secretion System which consists in the last 60 amino-acids of HaemolysinA (HlyA). Each coding sequence is separated from the signal peptide by the cleavage sequence for TEV, in order to get the protein without its signal peptide (Figure 1).

This DNA construct was ordered in two parts, named Seq1 (1096 bp) and Seq2 (1153 bp) in commercial plasmids pEX-A258 from gene synthesis. Seq1 and Seq2 were amplified in competent E. coli DH5-α. After bacteria culture and plasmid DNA extraction, we digested commercial vectors with restriction enzymes (NheI and BamHI for Seq1, MscI and HindIII for Seq2). We extracted the inserts from the gel and performed a ligation by using specific overlaps into linearized pET43.1a for proNGF expression and into pSB1C3 for iGEM sample submission.
We proved that our vector pet43.1a contained Seq1 and Seq2 (Figure 2) and that pSB1C3 contained Seq1 and Seq2 (Figure 3) after digestion and DNA electrophoresis. Plasmid DNA of pSB1C3 construction was purified and sent for sequencing (Figure 4).

Sequencing results, when aligned with our original construct using Geneious confirmed that pSB1C3 contained Seq1 and Seq2, BBa_K2616000 .

The construction was successfully assembled. In Figure 4, we show that we used three different primers, allowing us to cover the whole sequence without mistakes. As visible, the mismatches are only present at the extremities of each primer sequencing. The final basepair identity is 100%.

proNGF characterization and purification

Our chassis is Escherichia coli BL21(DE3) pLysS, a specific strain dedicated to producing high amounts of desired proteins under a T7 promoter. Thus, we co-transformed our bacteria with BBa_K2616000 and pVDL 9.3, generously provided by Dr. Victor de Lorenzo, from Centro Nacional de Biotecnología of Madrid, bearing HlyB and HlyD (Type I secretion system) sequences, in order to get a chance to secrete proNGF out of the cell.

Bacteria were grown at a large scale (800 mL), and proNGF expression was induced with 0.1 mM IPTG for 2 hours at 37°C.

We tried to achieve His-tagged proNGF purification using a single step Ni-NTA affinity purification column. We eluted our protein using a gradient of imidazole-containing buffer and one peak was detected (fraction A6).

We analyzed bacterial lysate and purification fractions using SDS-PAGE electrophoresis and Mass spectrometry.

Analysis of Fraction 5 of the gel shows that our protein proNGF is present in a mix of cleaved and uncleaved polypeptide (Figure 8). Mass spectrometry spectrum of Peptide A, IDTACVCVLSR, from proNGF sequence and peptide B IISAAGSFDVKEER from fused HlyA export signal are shown in Figure 9. The presence of mass spectrometry identified peptides corresponding to the fusion of proNGF and HlyA indicate some proNGF uncleaved from the export signal.

The proNGF did not seem to be retained on the Ni-NTA affinity column, although in fraction A6 we also identified His-tag bound proNGF. To test if the His-tag is accessible for binding to Ni-NTA, we've performed a batch purification using Ni-NTA beads under native and partial denaturing conditions (Urea 2 M) followed by Western Blot analysis with immunodetection through Anti-His Antibodies Alexa Fluor 647 (Figure 10). Detection of His-tag in the pellet supernatant of induced BL21(DE3) pLysS with 1 mM IPTG and flow through when partially denatured.

Native His-tagged proNGF was not retained on Ni-NTA beads. We believe that the N-terminal His-tag may be hidden in the protein fold. Consequently, we denatured with 2M urea before purifying on the beads. As seen in lane 8 even 2M urea could not improve the binding. We also tried with an 8M urea concentration, without better results.

Neuron culture

Imaging was performed in collaboration with the BioImagerie Photonique platform of the Institut Pasteur. Data are presented as MEAN ± SEM. Significance between 2 different groups was determined using an Ordinary one-way ANOVA test on the software Prism6 (GraphPad). (ns: non-significant, *: p<0.05, **: p<0.01, ***: p<0.001, ****: p<0.0001)

As an alternative to our recombinant proNGF for control experiments, we performed an in vitro neural primary culture with commercial NGF. For this, a pair of E18 Sprague Dawley cortexes were purchased from BrainBits.co.uk. We digested the tissue with manufacturer provided papain according to their protocol and seeded 40 000 dissociated neurons on our microfluidic chips with different conditions of culture for six days at 37°C, and 5% CO2.

On our two-chamber microfluidic devices, we seeded neurons only on one side. Fifteen chips were used in total. After six days, neurons are fixed with paraformaldehyde (PFA) 4% and stained with DAPI. For differentiated markers: MAP2 (coupled with Alexa Fluor 555), a cytoskeletal associated protein and Beta-III Tubulin (coupled with Alexa Fluor 488), one of the major components of microtubules and a neuron-specific marker were used.

We can see in Figure 11 that we had contaminations on many of our microfluidic chips because we could not use antibiotic selection otherwise our bacteria would have suffered from it, and that most of our experiments could not be analyzed. However, no contaminations were apparent for eight of them. Two of these successful ones are displayed in Figure 12.

As we can see, we succeeded in growing the cells inside our device in the presence of Neurobasal, B27 and GlutaMAX medium. It is possible to see neurons passing through one chamber to the other in this experiment. Unfortunately, the PDMS of the microfluidic chips detached from the bottom of the glass culture dish, leading to the growth of cells not inside of the microchannels, but below them (Figure 13).

We also tested the action of commercial NGF on our culture. Neurons were put in culture in the presence of commercial NGF at different concentrations: 50 ng/mL, 250 ng/mL, 500 ng/mL, 750 ng/mL and 900 ng/mL. The optimal concentration was determined by modeling of NGF diffusion inside the medium. It was possible to capture the cells passing through one of the chambers of the microfluidic chip to the other side during a time-lapsed using phase-contrast microscopy recorded for the first 48h of culture at the BioImagerie Photonique platform, proving that our device was working as expected (Video 1).

Because we were running out of fresh microfluidic chips, and since we already proved that our device was working as expected, we switched and put our next cultures in a 96-well plate for 10 days at 37°C, testing the influence of the different concentrations of NGF on the growth of the cells.

As we can see in Figure 13 (right), it was possible to observe a difference in the percentage of area taken by the β-III Tubulin. Indeed, it is possible to observe a significant increase in this percentage when commercial NGF is put at a concentration of 250 ng/mL or higher. The concentration of NGF seems to influence the growth of axons. It was possible to observe the same significant increase of cell number at a concentration of 250 ng/mL or higher. We can also see that at a concentration of 900 ng/mL, it seems that both the percentage of area taken by the β-III Tubulin and the number of cells decrease, even though it is not significant, we can hypothesize that at a high concentration of NGF, the receptor p75^NTR is getting internalized, resulting in a decreasing number of available receptors.

It seems that commercial NGF has a dose-response effect on both the growth of neuronal axons and / or the survival of the cells. To determine in which category the NGF was affecting, we standardize the percentage area of β-III Tubulin compared to the number of cells.

As we can see in figure 14, we have a decreasing amount of β-III Tubulin per nuclei each time the concentration of NGF gets higher. We can see a significant decrease of this ratio when the NGF is at 500 ng/mL and higher, which is not an expected result and an opposite result from the images that we occurred from the platform.

We assumed from the start that all of our cells put in culture were neuronal cells, which might not be the case. We know that the NGF has an effect of the survival of the cells ^{[1], [2]} (Figure 13, left). We did not have the suitable marker to differentiate the neuronal cells from the other types of cells, and should have stained the cells with NeuN, a neuronal nuclear antigen used as a biomarker for neurons. Therefore, the standardization we did with the number of cells is not an accurate one. We can still appreciate the qualitative results we had (Figure 13, right + Photo imagery) and are positive on the effect NGF has on axon’s growth as well as cell survival.

After having collected the data on the effect of commercial NGF, we decided to put in culture our cells in the presence of our bacterial lysate to test the effect of our proNGF. We put in culture for 2 days 30 000 cells with or without commercial NGF at 500 ng/mL and 900 ng/mL as well as our bacterial lysate in different dilutions. Since we wanted to inactivate as much bacterial proteins as possible (Endotoxins), we checked the denaturation temperature for our proNGF, 70°C, and heat-inactivated the lysate at 60°C for 5 minutes before putting it in culture. Due to lack of time, only one well per condition was analyzed.

We can see in Figure 15 that our lysate seems to increase the percentage area of the β-III Tubulin compared to the control without NGF. Our results with the commercial NGF seem to be equivalent to the results we had from our first experiment (Figure 13), with a decrease of axons at a concentration of 900 ng/mL. We can hypothesize that the lysate does have an effect on axon’s growth from the increasing percentage area of β-III Tubulin, increase similar to the one we observe in our first experiment (Figure 13) and that the activity of our proNGF could be equivalent to commercial NGF with a concentration between 500 ng/mL and 900 ng/mL.

We also could see an influence of the commercial NGF on the survival of the cells, similar to our first experiment (Figure 13). Our lysate, put at a concentration of 1/10 and higher, seems to have the same effect.

Of course, those data require further statistical tests, since we only had time to analyze one well per condition, and for only 2 days of culture due to French customs administrative delays that came with the order of the E18 cortex pair from the USA. Still, in those 2 days of culture, we have been able to observe a difference in both the percentage area of β-III Tubulin and nuclei counts.

• Matsumoto, T., Numakawa, T., Yokomaku, D., Adachi, N., Yamagishi, S., Numakawa, Y., Kunugi, H., and Taguchi, T. (2006). Brain-derived neurotrophicfactor-induced potentiation of glutamate and GABA release: Different dependency on signaling pathways and neuronal activity.Mol. Cell. Neurosci. 31, 70–84
  
  
• Price, R. D., Yamaji, T., and Matsuoka, N. (2003). FK506 potentiates NGF-induced neurite outgrowth via the Ras/Raf/MAP kinase pathway. Br. J. Pharmacol.140,825–829.
  
  

RIP Secretion BBa_K2616001

The sequence we designed contains two RIP (RNAIII Inhibiting Peptide) sequences fused to two different export signal peptides for E. coli Type II Secretion System: DsbA and MalE, placed on their N-termini (Figure 11).

Figure 11: Schematic representation of the RIP production cassette.

We gene synthesized our DNA constructs commercially. Once we received the sequence encoding for this production cassette, named Seq8 (461 bp) in the commercial plasmid pEX-A258, we amplified it in competent E. coli DH5α. After bacterial culture and plasmid DNA extraction, we digested the commercial vector with EcoRI and PstI restriction enzymes. We extracted the inserts from the gel and performed a ligation by using specific overlaps into linearized pBR322 for RIP expression and into pSB1C3 for iGEM sample submission. We proved that our vectors contained the insert by electrophoresis (Figure 12, 13).

Sequencing results, when aligned with our original construct using Geneious, confirmed that pSB1C3 contained Seq8, Bba_K2616001.

Once checked, we cloned our construct into the Escherichia coli BL21(DE3) pLysS strain, a specific dedicated strain to produce high amounts of desired proteins under a T7 promoter. Bacteria were grown in 25 mL culture, and protein expression was induced with different IPTG concentrations during exponential phase at an OD_600nm at 37°C. A 1 mL aliquot was centrifuged and the pellet stored at -20°C.
After two hours of induction, we centrifuged and collected both supernatant and pellet separately.

Fluorescence reading experiments

Since RIP is only a seven-aminoacid peptide, we were not able to check its production by classic SDS-PAGE. Thus, we tried to check its expression by observing its effect on Staphylococcus aureus growth and adhesion. We grew a S. aureus strain expressing GFP (Green Fluorescent Protein), (kindly provided by Pr. Jean-Marc Ghigo) on 96-well microtiter plates with different fractions of supernatant or pellet of our BL21(DE3) pLysS bacterial cultures containing BBa_K26160001.

After 48h or more of incubation at 37°C, we washed the plates in order to discard planktonic bacteria, and read fluorescence (excitation at 485 nm and measuring emission at 510 nm).

Crystal violet staining

Since fluorescence measurements were not satisfying enough, we tried to improve our methods for quantifying biofilm formation. Thus, we began staining biofilms by Crystal violet 0.1% and measuring absorbance at 570 nm. Again, the results were very heterogeneous between our different experiments, and between the different protocols.
We tried to compare our protocol within the Institut Pasteur, but also outside of it. This was the occasion to collaborate with another iGEM team, namely the team WPI Worcester, who was also working on biofilm disruption. We decided to exchange our protocols. The results of this comparative experiment are shown in Figure 16.

We show that our method gave lower biofilm retention than WPI Worcester's. However, even if we obtained higher retention values with theirs, we still met the same variability, as seen by the error bars. This may be related to the use of various solvents, namely ethanol and acetone in our method, and acetic acid in their case. Mechanically, we applied the same steps in our first approach. Since there was no improvement, we switched to pipetting and then finally back to full tray washing again. Both protocols can be found here.

With more time, we would certainly have been able to optimize our protocols to best fit with the strain we use, but for the time being, we are not able to give a final conclusion on whether or not our RIP peptide inhibits S. aureus biofilm formation.
Potential ideas for improvement would first be to better standardize starting amounts of biofilm cultures. Secondly, to find more gentle planktonic cells removal methods. Thirdly, better staining methods in order to get better absorbance readouts that can also take into account biofilm formation on the walls of the 96-wells plate and not only on its floor. Finally, the use of RIP peptides that have been processed through the export machinery and that would be cleaved from their export signal might have higher activities.

S. aureus Detection and RIP secretion BBa_K2616003

The sequence we designed contains the agr detection system from S. aureus and secretion of RIP (RNAIII Inhibiting Peptide) sequences fused to two different export signal peptides for E. coli Type II Secretion System: DsbA and MalE, placed in their N-termini (Figure 18).

We gene synthesized our DNA commercially by Eurofins-Genomics. We received this genetic construct in three parts that we called Seq5 (1422 bp), Seq6 (960 bp) and Seq7 (762 bp) in the commercial plasmid pEX-A258 which we amplified in competent E. coli DH5α.

After bacterial culture and plasmid DNA extraction, we digested the commercial vector with XbaI and BamHI for Seq5, MscI, and SphI for Seq6, and HindIII and SpeI for Seq7. We extracted the insert from the gel and ligated by specific overlaps into linearized pBR322 for expression and into pSB1C3 for iGEM sample submission.

We had trouble to proceed with the ligation of the three inserts to linearized pBR322 and pSB1C3. We discussed with Takara Bio about our ligation issues, the GC percentage on our overlaps was too high to allow for a good ligation. Due to the lack of time, we were not able to redesign the overlaps for this construction.

BBa_K2616002

We gene synthesized the genetic construct of our kill-switch commercially. Once we received the sequence, called Seq9, in a commercial plasmid, we transformed competent bacteria E. coli DH5α. After bacterial culture and plasmid DNA extraction, we digested our DNA with restriction enzymes, extracted the inserts from the gel, and ligated it into linearized pSB1C3 for iGEM submission and expression in BL21(DE3).

We proved that our vector contained the insert by DNA electrophoresis (Figure 19).

Sequencing results, when aligned to our original construct using Geneious, confirmed that pSB1C3 contained Seq9. This sequence was sent to the registry as Bba_K2616002.

The construction was successfully assembled. In Figure 20, we show that we used two different primers, allowing us to cover the whole sequence without mistakes. As visible, the mismatches are only present at the extremities of each primer sequencing. The final basepair identity is 100%.

To test the efficiency of our kill-switch, we decided to cultivate transformed BL21(DE3) pLysS E. coli at several temperatures (15°C, 20°C, 25°C and 37°C). We used BL21(DE3) pLysS E. coli transformed with the empty pSB1C3 plasmid as the negative control. The bacteria growth was followed by measuring the optical density at 600 nm every 30 minutes for 6 hours, followed by two additional points at 18 hours and at 72 hours. Each experiment was done in triplicate and the standard deviation was calculated for every point. We showed that bacteria transformed with the kill-switch presented no measurable growth at 15°C and at 20°C during the 72 hours of the experiment, whereas the control population grew normally (Figure 21).

At 25°C, the kill-switch population grew more slowly than the control for the first 18 hours, but the growth eventually started to reach normal values at 72 hours.

Finally, at 37°C there was no difference in the growth of the kill-switch population compared to the control bacteria.

Thus, we successfully guarantee that our engineered bacteria will not be able to grow if they happened to be released in the environment.

Confinement

The first requirement for the membrane is that it needs to meet is the ability to retain bacteria of the size of E. coli (1-2 micrometers). Theoretically, confinement should be garanteed because the membrane's pore size is smaller than E. coli. Three experiments were conducted on membrane microchannel chips to prove that the gold-coated membranes can retain bacteria .

First experiment

The optical density of an E. coli liquid culture was measured. Liquid culture was poured in a microchannel chip on one side, and optical density of the liquid that flowed to the other side of the microchannnels was measured.

Results

OD (600 nm) of liquid culture: 0.44

OD (600 nm) of liquid after flowing through the chip: 0.41.

Interpretation

We expected a much lower OD after liquid flow through the chip, so this suggests the presence of a leak in the chip, that allowed the liquid culture to flow without retaining the bacteria.

Third experiment

A few drops of E. coli liquid culture were poured in a membrane microchannel chip. The chip was then observed under a microscope.

Interpretation

The membrane is located on the left side, and liquid culture was poured on that side, before the membrane. Bacteria this time wasn't able to flow to the right side, the membrane stopped their progression . It is clear on figure 24, that the left side is crowded with bacteria, and the right side is empty (apart from a few PDMS impurities). Final conclusion on the membrane microchannel chips is, that although the integration method of the membrane filter in the chip is complicated and a bit improvised, some chips apparently do fulfill their purpose , demonstrating this way the confinement of the bacteria with a membrane. Leaks observed in previous experiments were also probably caused by membrane filters that were not correctly stretching across the whole chip.

Polymer coating

Bare alumina oxide membranes were coated with different polymers to enhance their conductivity values and their biocompatibility.

PEDOT:PSS coating

The color of the alumina oxide membranes changed radically from light grey to black , suggesting the deposit of PEDOT:PSS on the membrane, as expected. Scanning electron microscopy (courtesy of Bruno Bresson, Sciences et Ingénierie de la Matière Molle Physico-chimie des Polymères et Milieux Dispersés) of a PEDOT:PSS-coated membrane revealed cluster-like formation of PEDOT:PSS deposits . It is thought that the lack of uniformity of the coating won't give the expected results in matters of biocompatibility and conductivity.

PEDOT:Cl and PEDOT:Ts coating

The color of the alumina oxide membranes changed radically from light grey to black with green shades for PEDOT:Cl and blue shades for PEDOT:Ts , suggesting the deposit of the polymers on the membranes, as expected. Scanning electron microscopy reveals a uniform thickening of the membrane's surface, suggesting a uniform PEDOT:Cl coating of the membrane. We expect better results from the PEDOT:Cl-coated and PEDOT:Ts-coated membranes than PEDOT:PSS-coated ones.

Conductivity

The membranes used in our system should possess good electric conductive capabilities for nerve influx conduction. The goal here is to evaluate the conductivity of the membranes .

Platinum wire

As in the end we were going to measure the conductivity of the system biofilm+membrane+platinum wire, we wanted to simplify the measurements and neglect the impact of the platinum wire . Function generator was set on sine. The physical quantities measured here are Eg, the generator's tension amplitude and Ep, the voltage difference between the two extremities of a platinum wire. the quantity calculated here is 20*log(Ep/Eg) for different frequencies.

Results

Interpretation

Voltage difference calculated is extremely low, indicating a very good conductivity for the platinum wires, so its resistance (in low frequencies) could be neglected at first glance when it would be used in PDMS well chips. Resistance increases in higher frequencies, because of the skin-effect in metals: the strip transforms into an antenna. But as we were going to use only low frequencies, this didn't affect us.

Frequency impact on membrane conductivity

Before measuring the conductivity of multiple membranes, we needed to have an overview of the impact of the frequency on the conductivity of a membrane. We tested two gold-coated membranes.Function generator was set on sine. The physical quantities measured here are Eg, the generator's tension amplitude and Ep, the voltage difference between the extremity of the platinum wire outside the well chip and a point on the edge of the membrane of the chip. the quantity calculated here is 20*log(Ep/Eg) for different frequencies.

Results

Interpretation

Voltage difference calculated is very low, indicating a very good conductivity for the gold-coated membrane. Technically, we measured the conductivity of the system membrane+platinum wire, but we showed that the wire's conductivity could be neglected. Resistance increases in higher frequencies, again because of the skin-effect in metals. But as we were going to use only low frequencies, this doesn't affect us, and moreover, the frequency response is flat for wide range of low frequencies .

Membrane conductivity

We measured the conductivity of 6 membranes on PDMS well chips (2 gold-coated, 1 bare alumina oxide, 1 PEDOT:PSS-coated, 1 PEDOT:Cl-coated, 1 PEDOT:Ts-coated). Here we show the electric circuit that we used for the following experiments.

Function generator was set on square at 200 Hz. The physical quantities measured are Eg, the generator tension amplitude, and Ep, the amplitude of the voltage difference between a point on the membrane inside the well and the extremity of the platinium strip outside the well. Tension amplitude of the resistor is given by Er = Eg - Ep. Current flowing through the electric circuit is calculated with I = Er/R. Conductivity of the membrane is given by I/Ep. Conductivity of each membrane was measured 3 times.

Results

Interpretation

Bare alumina oxide and PEDOT:PSS-coated membranes show similar conductivies, indicating the incomplete coating of PEDOT:PSS on alumina oxide membranes. On the opposite, PEDOT:Cl and PEDOT:Ts exhibit on average better conductivities, but in the same time, the coating of these membranes revealed by electron microscopy seemed to have covered the alumina oxide membranes in a more uniform way, ensuring enhanced conductive capabilities . These results can be criticized because of the high deviation and because the membranes conductivity was measured after several biofilms were grown on them, which may have affected the measurements.

Biocompatibility and biofilm conductivity

One last important property of the membranes to measure was the capability of bacteria to form a biofilm on them, as in our prosthesis system, the membrane is going to be directly in contact with the genetically modified biofilm, as well as the human body.

We used the last section of the following protocol to form biofilms in our PDMS well chips and to measure the biofilm growth.

Results: biofilm growth

Biofilm growth was measured 4 times in total. For each series of measurements, the measured optical densities were divided by the optical density of the base liquid culture, to normalize the measures.

Results: biofilm conductivity

For conductivity measurements, we used the same electric circuit as in figure 35 . Function generator was set on square at 200 Hz. The physical quantities measured are Eg, the generator tension amplitude, and Ep, the amplitude of the voltage difference between a point on the biofilm inside the well and the extremity of the platinium strip outside the well. Tension amplitude of the resistor is given by Er = Eg - Ep. Current flowing through the electric circuit is calculated with I = Er/R. Conductivity of the membrane is given by I/Ep. Conductivity of each membrane with a biofilm was repeated 3 times.

To approximate very roughly the conductivity of the biofilm, the average conductivity values of the membranes with a biofilm were divided by the corresponding average biofilm growth values, and the conductivity of the membrane was then substracted.

Interpretation

As told by the membrane manufacturer, biofilm formation on gold membranes seems indeed to be more difficult than on other membranes. However we expected PEDOT:PSS-coated membranes to stimulate more the growth of biofilm, but perhaps this may be just another indicator of the incomplete coating. Surprisingly, PEDOT:Cl tends to allow better formation of biofilms. We realized only after the experiments the need for a control biofilm culture without membrane.

Conductivity with a biofilm is better with gold membranes, although the conductivity of gold membranes themselves isn't the best. This may be explained by the fact, that because of the thinner biofilm formation on gold membranes, the electrical wires touched not only the biofilm, but also the membrane, bypassing the biofilm and leading to imprecise measurements.

Approximate biofilm conductivity is therefore probably wrong for the gold membrane. However, it is interesting to notice that the biofilm conductivity measured for the bare alumina oxyde, PEDOT:Ts-coated one and PEDOT:PSS-coated give more or less the same value, suggesting that with more measurements, adapted equipement and better methods it would be indeed possible to measure the biofilm's conductivity with our PDMS well chips .