Team:XMU-China/Content applications

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<p>Figure 1.Two different constructed sensing modules.<br/></p>
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<p>Figure 1.Two different constructed sensing modules.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
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Figure 2. Two different outputs of corresponding biosensors.<br/></p>  
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<p>Figure 2. Two different outputs of corresponding biosensors.<br/></p>  
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<b>2. Cytotoxin sensor</b>
<b>2. Cytotoxin sensor</b>
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<p>Figure 4. ROS Level</p>  
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<p style="margin-left: 420px">Figure 4. ROS Level</p>  
<p>From this picture we can get to know it clearly. As we know, we use oxide stress to describe the level of ROS in our cell. There is a threshold of oxide stress which is the critical value between normal cell and cancer cell. As a normal cell, its oxide stress is lower than the critical value while the ROS production value is over the threshold. On the one hand, when the oxide stress in our internal environment increases, normal cells may mutate to cancer cells if the ROS value is higher than the threshold value. On the other hand, cancer cells may die because of the accumulation of ROS. So the key point is, when ROS value higher than the maximum, we can kill the cancer cell while ROS value lower than the threshold we may push normal cells to change into cancer cells. So the level of ROS is in a specific range which we can measure using chemical methods.<br/><br/>
<p>From this picture we can get to know it clearly. As we know, we use oxide stress to describe the level of ROS in our cell. There is a threshold of oxide stress which is the critical value between normal cell and cancer cell. As a normal cell, its oxide stress is lower than the critical value while the ROS production value is over the threshold. On the one hand, when the oxide stress in our internal environment increases, normal cells may mutate to cancer cells if the ROS value is higher than the threshold value. On the other hand, cancer cells may die because of the accumulation of ROS. So the key point is, when ROS value higher than the maximum, we can kill the cancer cell while ROS value lower than the threshold we may push normal cells to change into cancer cells. So the level of ROS is in a specific range which we can measure using chemical methods.<br/><br/>
Think about a proper range of ROS's concentration. Is it familiar to you as we mentioned a similar problem when talking about advantages of oscillatory system as biosensors? H<sub>2</sub>O<sub>2</sub> is a kind of ROS. The oscillation will happen only when the concentration of is H<sub>2</sub>O<sub>2</sub> between the maximum and the minimum. By regulating our circuits to let it respond in the proper concentration range which matches the ROS range of cancer cells, we can use the oscillatory system as a biological cancer detector. <br/><br/></p>
Think about a proper range of ROS's concentration. Is it familiar to you as we mentioned a similar problem when talking about advantages of oscillatory system as biosensors? H<sub>2</sub>O<sub>2</sub> is a kind of ROS. The oscillation will happen only when the concentration of is H<sub>2</sub>O<sub>2</sub> between the maximum and the minimum. By regulating our circuits to let it respond in the proper concentration range which matches the ROS range of cancer cells, we can use the oscillatory system as a biological cancer detector. <br/><br/></p>
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<p>Figure 1: Different kinds of log-domain analog computation.</p>  
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<p style="margin-left: 270px">Figure 1: Different kinds of log-domain analog computation.</p>  
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<p>Due to the fact that our circuits can generate a steady oscillation, it is possible that using our circuits as a sinusoidal signal generator.<br/><br/>
<p>Due to the fact that our circuits can generate a steady oscillation, it is possible that using our circuits as a sinusoidal signal generator.<br/><br/>
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<p>Figure 2.This picture shows a kind of electronic circuit generating the oscillation wave.</p>
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<p style="margin-left: 180px">Figure 2.This picture shows a kind of electronic circuit generating the oscillation wave.</p>
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<p>Figure 3.This graph shows the generated oscillation wave.</p>
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<p style="margin-left: 250px">Figure 3.This graph shows the generated oscillation wave.</p>
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<li><a href="https://2013.igem.org/Team:XMU-China/Human Practice">Human Practice</a></li>
<li><a href="https://2013.igem.org/Team:XMU-China/Human Practice">Human Practice</a></li>
<li><a href="https://2013.igem.org/Team:XMU-China/Safety">Safety</a></li>
<li><a href="https://2013.igem.org/Team:XMU-China/Safety">Safety</a></li>
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<li style="margin-left: 400px"><a href="https://2013.igem.org/Team:XMU-China/Team1#Attribution">Contact us</a></li>
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<div class="copyright">&copy; Copyright &copy; 2013.XMU-China iGEM All rights reserved.</div>
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<div class="copyright" style="margin-right: -150px">&copy; Copyright 2013.XMU-China iGEM All rights reserved.</div>
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Latest revision as of 19:04, 28 October 2013

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Applications

After travelling a long way of circuit construction, you may wonder what we are going to do with those sparkling bacteria. Of course much thought was given, too, to make our oscillation circuit both showy and substantial as a safety guard in daily life. Here we are going to show you the potential of those shinny soldiers as biosensor, cancer cell killer and gene sinusoidal signal generator.

Biosensor

To date there appears a great number of biosensors that are used for detecting certain factors, such as small organic molecules or metal ions. And we've noticed that each year many iGEM teams relate their projects to biosensors. Biological detection has strength in its low detection limit, high sensitivity and bioaffinity when compared with chemical detection methods. We can use the same gene sensing circuit to detect various metal ions or other determinant via changing different promoters which responds to a specific target molecule.

Compared with traditional single-cell biosensor, our oscillatory system biosensor has three advantages.

1) Synchronized colonies will be more sensitive to concentration changes of the target molecule and the changes in fluorescence strength are easier to observe than single cell biosensors.

2) Single cell biosensor usually works, or "switches on" when the concentration of the specific molecules which can be responded by the promoter reaches to the lowest value. Sometimes this kind of detection is limited when we want to narrow the range of detection. Because the oscillation will happen only when concentration of certain molecule is between two value, the maximum and the minimum, it can dwindle the detection range of the determinant.

3) Oscillatory system is more robust and stable when used as a biosensor. These advantages will promote oscillatory gene circuits a better use in biosensing.

1. Arsenic sensing array

Jeff Hasty from UCSD used the same kind of oscillate circuit to engineer two kinds of arsenic-sensing macroscopic biosensors. These circuits are rewired by a native arsenite-responsive promoter, which is repressed by ArsR in the absence of arsenite. Due to the different mechanism, the sensor outputs are not the same. Figure 1 shows two constructed sensing modules and Figure 2 compares the outputs of two sensors[1].

Figure 1.Two different constructed sensing modules.                 Figure 2. Two different outputs of corresponding biosensors.

2. Cytotoxin sensor

Due to the accuracy and specific condition in the field of bio-medicine, the oscillatory biosensor needs to meet the requirement such as synchronization. For example, all cells expected to twinkle at the same time only when cytotoxin existed. In addition, the period or amplitude of the oscillation needs to indicate the concentration of the cytotoxin. Our circuit has the potential to accomplish this kind of job. By further exploration in the relationship between oscillatory parameters such as period and amplitude with other environmental factors such as concentration of antibiotic or cytotoxin, we may create a oscillatory biosensor which can sense different kinds of biological toxin.

Cancer cell killer

1.Cancer cell stalking

Nowadays cancer becomes one of the greatest enemy of our human being. Our main methods used to diagnosis of cancer are based on tissue and organ level, such as MRI, CT, PET, etc. These are mainly physical diagnostic methods.

With the development of science and technology, we create various methods into molecule level concentrated on molecular recognition and signal transduction of tumor marker, such as AFP(alpha fetoprotein), CEA (carcino-embryonic antigen), PSA(Prostate Specific Antigen) and so on. Level of these special molecules in human bodies has become the main basis of diagnosis of cancer. These are mainly chemical diagnostic methods.

So how about using synthetic biology to do something for diagnosis of cancer? Our project can be a potential biological method to assist diagnosis of cancer.

ROS is reactive oxygen species in cells, which has been proved to be associated with several neurological disorders including Alzheimer's disease (AD) and Parkinson's diseases[2][3][4]. Concentration of ROS indicates the level of cell metabolism. Normally the stronger cell' metabolism is, the more ROS it will produce. In the recent decade scientist found that the occurrence of cancer is closely related to the level of ROS. But it is not a simple positive correlation as we expect[5].

Figure 4. ROS Level

From this picture we can get to know it clearly. As we know, we use oxide stress to describe the level of ROS in our cell. There is a threshold of oxide stress which is the critical value between normal cell and cancer cell. As a normal cell, its oxide stress is lower than the critical value while the ROS production value is over the threshold. On the one hand, when the oxide stress in our internal environment increases, normal cells may mutate to cancer cells if the ROS value is higher than the threshold value. On the other hand, cancer cells may die because of the accumulation of ROS. So the key point is, when ROS value higher than the maximum, we can kill the cancer cell while ROS value lower than the threshold we may push normal cells to change into cancer cells. So the level of ROS is in a specific range which we can measure using chemical methods.

Think about a proper range of ROS's concentration. Is it familiar to you as we mentioned a similar problem when talking about advantages of oscillatory system as biosensors? H2O2 is a kind of ROS. The oscillation will happen only when the concentration of is H2O2 between the maximum and the minimum. By regulating our circuits to let it respond in the proper concentration range which matches the ROS range of cancer cells, we can use the oscillatory system as a biological cancer detector.

In our experiments, we found that we can regulate flow rate and some parameters of microfluidic chip such as the depth of the well, the width of the channel and the concentration of H2O2 to change the period and amplitude of the oscillation. So by changing parameters of microfluidic chip, we can get a proper concentration range of H2O2 if the oscillation works. From then on, we can extract some cancer tissue to detect the ROS concentration in the microfluidic chips or get some suspected tissue on chips and diagnose whether it contains cancer cell.

2 Periodical Killer

2.1 Drug delivery

Our circuit also has a great potential application in periodic drug delivery. It is amazing when we realize that the oscillate circuit can control the drug to release in a specific period and the concentration of the drug is related to the amplitude. It is well-known that nowadays drug-release is a very hot research field. Many efforts are focusing on how to modify or delivery drug using materials such as synthetic polymers, liposome or nano shell which can respond to differences between different intracellular environments. Our oscillatory gene circuits provide a more biofriendly way for drug release. Our future plan is to make some deep exploration in this field.

2.2 Protein Synthesis

What else, a resonance may happen among the oscillators which results in a peak synthesis of protein under some conditions. This phenomenon can be used to increase the yield of some medical proteins such as antitoxic serum and antibody[9][10].

2.3 Prevention pathogen

In the applications of controlling pathogens, quorum sensing system plays an important role in regulating growth and reputation of microorganism. So we could restrain quorum sensing system to control microorganism to make our life more healthy and nice. The most important part in the metabolism of pathogens controlled by quorum sensing system is the synthesis of toxin and the formation of membrane system. If we can restrain these two kinds of effect may we decrease some potential diseases resources and improve the effects of antitoxins. What's more, it is a particularly attractive point to prevent pathogens through restraining their quorum sensing system instead of killing them directly as it offers the prospect of combating effectively infections resistant to all existing drugs. As we all know, just treat diseases via using antibotics or antitoxin can help these pathogens improve their resistance to various drugs, which is very dangerous for us human being. To date, although we've found that different fungus form different signal molecules, the quorum sensing system almost takes part in cell morphological transformation and information communication. We think our oscillatory gene circuits provide a very useful and meaningful model to promote more and more research in this field[11].

Gene sinusoidal signal generator

With the development of science and technology, computer had been here and there with larger RAM, faster CPU and smaller volume. All these changes owe to VLSI (Very Large Scale Integrated Circuites), which consists of different electronic component.

Just image what if we can control cell as a biocomputer. Cellular computer is a device consists of different kinds genetically engineered bacteria, which can do the calculation, such as add and subtract like a normal computer. To finish such a device, scientists need various gene circuits to complete different operations. These circuits are just like electronic component working in an electronic computer.

At the beginning of this century, biocomputer is still a crazy dream far more than a possible blueprint. But now scientists have had the technology to make this "impossible mission" comes true. In recent months, scientists from Stanford constructed a new "bio-crystal valve" by DNA and RNA, which can do the logical operations in the living cells[6].

Two months later, scientists from MIT used less than 3 gene devices to do the digital operation in division, logarithmic and square root. Thus, constructing gene circuits as electronic devices have become possible. From their research, their cellular calculator which uses analog computation has more advantages in computing efficiency in part count, speed and energy consumption compared with digital computation[7].

Figure 1: Different kinds of log-domain analog computation.

Due to the fact that our circuits can generate a steady oscillation, it is possible that using our circuits as a sinusoidal signal generator.

Signal generators, such as function generator (including sinusoidal signal generator), are electronic devices that generate repeating or non-repeating electronic signals. As an important part of basic circuit studies, they are generally used in designing, testing, troubleshooting, and repairing electronic or electroacoustic devices.

What's more, Li Guang-bi from TUST reported that they have constructed two kinds of electronic circuits which well simulated the gene oscillator. This indicates that our circuit can develop to a new kind of gene sinusoidal signal generator[8].

Figure 2.This picture shows a kind of electronic circuit generating the oscillation wave.

Figure 3.This graph shows the generated oscillation wave.

Future Version Trilogy

We blueprint our next step developing oscillatory gene circuits in following steps:

Step One

Complete our project by cleaning every obstacle on our way to oscillation.
Confirm that every part is functioning as expected;
Amplify the effect of different copy numbers;
Complete the comparison of different strains' effect on oscillation;
Complete the comparison of different EGFP & sfGFP effect on oscillation;
Confirm most suitable microfluidic parameters for oscillation;
Optimize our model

Step Two

We will make our oscillation a controllable one by integrating the catalase gene into the circuit.

Catalase is a common enzyme found in nearly all living organisms exposed to oxygen. It catalyzes the decomposition of hydrogen peroxide to water and oxygen. It is a very important enzyme in protecting the cell from oxidative damage by reactive oxygen species (ROS). Since our lab is studying Shewanella oneidensis, and its catalase protein has showed outstanding performance in catalyzing H2O2. So we thought we could integrate the catalase gene into our circuit and under an artificial inducible promoter, by which we can decide when to start this catalase gene and stop the oscillation.

Step Three

Realize everything we imagined in APPLICATION!

Make our circuit function as biosensor, cancer cell killer and gene sinusoidal signal generator.

Reference

1. Prindle, A., et al., A sensing array of radically coupled genetic 'biopixels'. Nature 481, 39-44 (2012).
2. Gaggelli, E. Kozlowski, H. Valensin, D. Valensin & G. Copper ,Homeostasis and Neurodegenerative Disorders (Alzheimer's,Prion, and Parkinson's Diseases and Amyotrophic Lateral Sclerosis). Chem. Rev. 106, 1995–2044 (2006).
3. Scott, L. E. Orvig, C. Medicinal Inorganic Chemistry Approaches to Passivation and Removal of Aberrant Metal Ions in Disease. Chem. Rev. 109, 4885–4910 (2009).
4. Zheng, Z. Q. White, C. Lee, J. Peterson, T. S. Bush, A. I. Sun, G. Y. Weisman, G. A. & Petris, M. J. Altered Microglial Copper Homeostasis in a Mouse Model of Alzheimer's Disease. J. Neurochem. 114, 1630–1638 (2010).
5. Dunyaporn T., Jerome A. & Peng H., Targeting cancer cells by ROS-mediated mechanisms: a radical therapeutic approach? Nature Reviews Drug Discovery 8, 579-591 (2009).
6. Bonnet J, Yin P, Ortiz ME, Subsoontorn P & Endy D, Amplifying Genetic Logic Gates. Science 340, 599-603 ,2013.
7. Ramiz D., Timothy K. Lu et al. Synthetic analog computation in living cells. Nature 497, 619-+ (2013).
8. Guang bi Li et al, Electronic Ciircuit Model Construction of A Synthetic Gene Network. Journal of Tianjin University of Science & Technology 26, 22-25 (2011).
9. Hasty, J., Dolnik, M., Rottschafer, V. & Collins, J. J. Synthetic gene network for entraining and amplifying cellular oscillations. Physical Review Letters 88, 148101, (2002).
10. Elowitz, M. B. & Leibler, S. A. Synthetic oscillatory network of transcriptional regulators. Nature 403, 335 (2000).
11. Yan C., Quorum--Sensing System in Microbes and Its Application, School of Resources and Environment, Yuxi Normal University,Yuxi,Yunnan 653100.
12. Danino, T., Mondragon-Palomino, O., Tsimring, L. & Hasty, J., A synchronized quorum of genetic clocks. Nature 463, 326-330 (2010).