Team:Technion Israel/Design

S.tar, by iGEM Technion 2016

S.tar, by iGEM Technion 2016

Introduction

FlashLab is a novel detection tool based on the chemotaxis system of E. coli bacteria. It utilizes chemotaxis to concentrate bacteria expressing a chromo-protein, this in turn, creates a visible gradient in color – detection of a target material. FlashLab is an application of the S.Tar project. S.Tar is a platform for programmable chemotaxis that allows the user to select the material that will induce a bacterial chemotactic response. For more information please visit S.Tar page. Using S.Tar technology, FlashLab can detect a variety of materials: hormones, amino acids, organic compounds etc.


Fig. 1: A scheme of the FlashLab concept, add bacteria expressing the chemoreceptor of your choice and a chromo protein, to a fluidic chip. Add the sample in question to the chip. If the sample contains the substance that is recognized by the chemoreceptor, a displacement of the bacteria will become visible. If not, then no displacement will be seen.


Design

FlashLab parts

The device is composed of a commercial fluidic chip:


Fig. 1:The geometry of a commercial fluidic chip.

The chip is open on the bottom part and closed with a standard microscope cover glass (0.3 [mm] thick).



FlashLab setup

The setup of the device is composed of two parts, as shown below (Figure 2):
      a. The channel is filled with colored E. coli bacteria suspended in motility buffer.
      b. The sample is loaded into one of the entry slots.


Fig. 2: The chip setup.

FlashLab assay

Once the sample is loaded, it diffuses into the channel. If the sample contains a repellent, the bacteria will react and flee from it as shown below:


Fig. 3: Chemotaxis reaction in the chip.

The chemotactic response will result in visible changes in the bacterial concentration throughout the chip: Very low concentration in the immediate area of the slot in which the sample was loaded, adjacent to a higher concentration of bacteria created due to the fleeing bacterial population. These changes will be visible to the naked eye, as the higher concentration of colored bacteria results in darker color (blue gradient, figures 2 and 3). If the sample does not contain the target material, the bacteria will not react and no gradient will be formed.

For more information see mathematical model.

Results

FlashLab parts

The setup of the device is as shown in the "Design" Tab. The bacteria, UU1250 E.coli strain with a cloned Tar-PctA receptor , was picked from a petri dish and suspended in motility buffer. The Chemo-repellent used was TCE (trichloroethylene) in concentration of 0.02 [M] while the control was motility buffer. The images were taken in a different times.

a.


b.


Fig. 1: a. Chemotaxis of E. coli with a S.Tar PctA receptor due to exposure to TCE (enhanced picture). b. E. coli with a S.Tar PctA receptor exposed to motility buffer (control).

After 15[min] , a noticeable color gradient is formed in the channel. In 120 [min] a relatively light shade can be seen near the entry point. Adjacent to it, an area with a darker tone and from there up to the end of the channel, the color did not change at all. This fits the theory perfectly, as the lighter shade is caused by colored bacteria moving away from the repellent. The darker shade is the clustering of bacteria in the chemo-repellent diffusion limit. All other bacteria in the channel, were not exposed to the repellent and did not react accordingly.

For more information see chip experiment protocol.

Conclusion

We developed FlashLab, the hardware of the S.Tar platform. S.Tar has the potential to offer a wide library of “expert” strains for the detection of materials that do not naturally induce chemotactic movement in the native E. coli. This was obtained using synthetic biology tools, including computational design which allowed us to create new mutations in the Tar chemoreceptor.

FlashLab is a tool which combines both biological and mechanical aspects. As we mentioned before, computational tools were required as well in order to develop the S.Tar platform. This multidisciplinary innovation was achieved thanks to the different backgrounds of our team members. Our team is comprised of students from the faculty of Biotechnology that oversaw the Tar chemoreceptor modification in the wet lab, students from the faculties of Mechanical engineering and Chemical engineering that developed the mathematical model for the flow and chemotaxis profiles inside the microchannel and students from the faculties of Electrical engineering and Computer Science that were in charge of the computational design aspects of the project. The unique composition of our team was crucial to the construction of a complex but elegant system.




Advantages


There are several methods for detection of small molecules. The following table summarizes the most common methods in the field:





FlashLab advantages as a detection tool:
- Cost effective: The only major cost is the fluidic chip which costs about 15$ and can be reused multiple times.
- Fast: as shown in the experiments, the detection takes about 30 minutes. This is faster than most other bacterial based detection that depends on transcription and translation.
- Versatile: The S.Tar system enables this device to detect a variety of materials: hormones, amino acids, organic compounds etc.
- User friendly: The setup of the system is an easy two part process.
FlashLab, offers a fast, cheap, easy to use and versatile detection.




References:
1. MAZZAG, B. C.; ZHULIN, I. B.; MOGILNER, Alexander. Model of bacterial band formation in aerotaxis. Biophysical journal, 2003, 85.6: 3558-3574.

2. Naylor, Louise H. "Reporter gene technology: the future looks bright."Biochemical pharmacology 58.5 (1999): 749-757.
3. Santos-Figueroa, Luis E., et al. "Chromogenic and fluorogenic chemosensors and reagents for anions. A comprehensive review of the years 2010–2011." Chemical Society Reviews 42.8 (2013): 3489-3613.‏

4. Blake, Christopher, and Barry J. Gould. "Use of enzymes in immunoassay techniques. A review." Analyst 109.5 (1984): 533-547.

‏ 5. Kucharska, Marta, and Jan Grabka. "A review of chromatographic methods for determination of synthetic food dyes." Talanta 80.3 (2010): 1045-1051.‏



S.tar, by iGEM Technion 2016

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