Difference between revisions of "Team:NCKU Tainan/Proof Of Concept"

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                   <h4>Oxidative Stress Assay</h4>
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                   <p>1. Compared the intensity and sensitivity of different promoters under the stimulation by oxidative stress.</p>
 
                   <p>1. Compared the intensity and sensitivity of different promoters under the stimulation by oxidative stress.</p>

Revision as of 11:58, 17 October 2021



The overall goal of MenTAUR is to relieve depressive symptoms by increasing taurine levels in the intestine. To achieve this, we developed multiple models and conducted wet-lab experiments to prove that our bubble, Menbles, can effectively function and release taurine in the human intestine. Menbles is designed to withstand the acidic environment of the stomach, protecting our encapsulated bioengineered E. coli. We developed a microfluidic chip, f(int), that simulates the intestinal environment, allowing us to determine the retention of E. coli in the jejunum. After confirming that most of our E. coli can adhere to the intestinal walls, we proved that the E. coli could detect stress biomarkers reactive oxygen species (ROS) and IFN-γ through the oxidative stress and IFN-γ sensing systems and produce the taurine production enzymes. Finally, with math-based calculations, we can model the mechanism through which taurine converts into Tau-Cl and reduces ROS and IFN-γ levels in the body, relieving depressive symptoms through the gut-brain axis.

1. Bubble Production

The biggest challenge to Menbles, our bubble, is the digestion of food in the stomach. Because most food coming from our mouth is digested in the stomach by the presence of a very strong acid called gastric acid, Menbles must be ensured to withstand the conditions in our stomach, due to our product’s aim to release the bacteria in the intestine, where our bacteria is supposed to produce taurine and then transported to the brain via the gut-brain axis. Luckily, sodium alginate is able to withstand these extreme conditions in the stomach. Sodium alginate itself, has been proven to have very little effect on itself when under extreme stomach conditions[5]. Therefore, we believe that it is a perfect solution for our case, for it to encapsulate our bacteria and not release it until reaching the intestine, where combined action of acid and trypsin can break the structure of alginate down[1] and releasing the bacteria.

However, another challenge we encountered is that although alginate performs very well under acidic conditions, it does not, however, perform too well under basic conditions[2]. Therefore, we tested our bubbles containing E. coli Nissle 1917 to be submerged into phosphate buffers of four different pHs, reflecting the range of pHs of the milk tea drink. We also tested different bubble sizes to reflect the difficulty of swallowing among patients of mental illnesses[4], which themselves cannot chew our bubble to prevent early release of bacteria. Because of this, we are interested to make our bubble as small as possible, so that these people will not feel the bubble as they are being swallowed. As a result, we also conducted experiments using different sizes of bubbles to identify which bubble size has the most stable recovery rate that we can use for our final product. Below are the results of the rate of recovery of our bubble for the 14.14 mm3 (Large) bubble (Fig. 1), 4.19 mm3 (Medium) bubble (Fig. 2), and 1.77 mm3 (Small) bubble (Fig. 3).

Fig. 1. The recovery percentage of E. coli Nissle 1917 in bubble with volume 14.14 mm3 (Large), 4.19 mm3 (Medium), and 1.77 mm3 (Small).


2. Microfluidic Device

After we consume the engineered E. coli Nissle bubbles, the number of probiotics actually remaining in the human body is always confusing us. As a result, we intended to take the retention rate of E. coli Nissle in the jejunum into consideration. Nevertheless, due to the restriction of human trials and ethical issues, we came up with an idea to produce f(int) - a microfluidic channel to simulate the jejunum environment.

In our generation 1 experimental results , as shown in Figure 1, we found that the retention rate of microfluidic chip w/ CF+2villi is higher than any other channel. In addition, when we compare the result of the same channel with additional 5% HA (Hyaluronic acid) that will be the substitution of mucus, the retention rate increases by 5.45%.

Fig. 2. The retention rate of different microfluidic channels. (w/ CF (structure contains circular folds); w/ CF+villus means (structure contains villus per circular fold); w/ CF+2villi (structure contains 2villi per circular fold) )

The approach that we took to use 5% HA is because Jejunum intestinal juice has 0.2 to 5% Mucin(MUC2)[1], and HA was used because of its same sticky characteristic with Mucin and due to its low availability. Our experiment result shows that the microfluidic channel with a complex structure such as channel w/ CF+2villi that includes additional Hyaluronic acid is the most suitable for simulating the human intestine.


3. Taurine Production Experiments

Oxidative Stress Sensing System Experiments

After confirming that most of the engineered bacteria can adhere to the walls of the intestine, we must prove that the bacteria can produce taurine. We designed our engineered bacteria to produce these enzymes only when the body is under high-stress levels, which are signaled by high levels of reactive oxygen species (ROS) and IFN-γ. The following experiments were performed to confirm that both oxidative stress and IFN-γ sensing systems can effectively detect their respective stress biomarkers and initiate taurine production.

Fig. 3. Mechanism of the oxidative stress sensing system

The oxidative stress sensing system regulates the production of L-cysteine sulfinic acid decarboxylase (CSAD). It consists of the soxR gene, promoter PsoxS, and the csad gene. When SoxR protein is fully oxidized, it becomes a powerful transcription activator of PsoxS, leading to the expression of the downstream gene. To test the intensity and specificity of the oxidative stress sensing system, the oxidative stress assay was performed.

Plasmid Construction

Achievement

Construction of the plasmid containing different promoters that can detect oxidative stress.

Process

In E. coli, there are two main promoters that can detect oxidative stress, the katG promoter (PkatG) and the soxS promoter (PsoxS). To determine which promoter to use in our final biobrick in order to express the taurine-producing enzyme, an oxidative stress assay is essential. Hence, we need to construct plasmids with different promoters and utilize the reporter, sfGFP, to determine the intensity and sensitivity of both promoters.

First, we conducted PCR to amplify the fragment of PkatG, PsoxS, and soxR gene with PsoxS from the chromosome of E. coli MG1655. SoxR is a transcriptional activator of PsoxS. The fragments were used to replace J23100 promoter in pSAA-J23100-sfgfp (BBa_K3771050). We obtained three new plasmids, pSAA-PkatG-sfgfp (BBa_K3771047), pSAA-PsoxS-sfgfp, (BBa_K37710XX), and pSAA-soxR-PsoxS-sfgfp (BBa_K37710XX). To ensure the correctness of the sequence, we conducted colony PCR after transformation and the result showed that the plasmid contains the correct sequence (Figure 4).

Fig. 4. The electrophoresis result of colony PCR of (A) pSAA-PkatG-sfgfp (BBa_K37710XX), (B) pSAA-PsoxS-sfgfp, (BBa_K37710XX), and (C) pSAA-soxR-PsoxS-sfgfp (BBa_K37710XX). (A) M: Marker; Lane 1, 2: pSAA-PkatG-sfgfp (2629 bp); Lane 3: pSAA-J23100-sfgfp (2537 bp).​ (B) M: Marker; Lane 1: pSAA-J23100-sfgfp (2537 bp); Lane 2, 3: pSAA-PsoxS-sfgfp (3122 bp).​ (C) M: Marker; Lane 1, 2: pSAA-soxR-PsoxS-sfgfp (3327 bp); Lane 3: pSAA-PsoxS-sfgfp (2691 bp).


Oxidative Stress Assay

Achievement

1. Compared the intensity and sensitivity of different promoters under the stimulation by oxidative stress.

2. Selected a suitable promoter for regulating the expression of L-cysteine sulfinic acid decarboxylase (CSAD).

Process

We compared the relative fluorescence intensity of sfGFP expressed by different promoters when induced by different concentrations of paraquat (PQ). Paraquat can react with oxygen to produce various types of reactive oxygen species (ROS), such as superoxide radical (O2•−), hydrogen peroxide (H2O2), and hydroxyl radical (OH)[5], which is used to simulate abnormal oxidative stress in the intestines of stressed individuals.

Over a period of 4.5 hours after paraquat was added, the relative fluorescence intensity was measured. J23100, a constitutive promoter, being the positive control, shows no difference in sfGFP expression level between the samples with and without paraquat. The activity of PsoxS (BBa_K3771048) is higher than that of PkatG (BBa_K3771047), but the activity is greatest when the SoxR transcription factor (BBa_K223000) is added in the construction together with PsoxS (Figure 5).

Fig. 6. Relative fluorescence intensity of soxR-PsoxS after 4.5-hour incubation with paraquat in various concentrations.
Fig. 6. Relative fluorescence intensity of soxR-PsoxS after 4.5-hour incubation with paraquat in various concentrations.

Interferon-gamma Sensing System Experiments

The second detection system is the IFN-γ sensing system, which regulates the production of CS.

Fig. 1. Mechanism of IFN-γ sensing system

The pathway for the IFN-γ sensing system requires two steps. First, ompA promoter constitutively expresses the OmpA/OprF chimeric protein, which is located in the plasma membrane of E. coli. Then, IFN-γ binds to the chimeric protein, activating a series of signal transduction reactions and finally inducing the pspA promoter and producing the CS enzyme. An IFN-γ induction assay was performed to confirm the function of the IFN-γ sensing system.

Plasmid Construction

4. Model

To ensure the biosafety of our engineered E. coli Nissle, we did a phenotype test by streaking out the can gene mutant bacteria on different plates and placing them in different conditions.

Fig. 5. Confirmation of can knockout in E. coli Nissle. E. coli Nissle and other strains were streaked onto agar plates and placed in (A) 0.04% CO2; (B) 5% CO2 conditions for phenotyping.

As seen in Fig. 5, Δcan::CmR and Δcan::FRT requires a higher CO2 level to survive. In doing so, we have proved that we have successfully knocked out the can gene.