Team:Peking

From 2013.igem.org

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             <p id="AbstractContent">As aromatic pollution levels rise, and along with it the environmental and health hazards that it presents, finding a better way of detecting these aromatic compounds becomes more and more important. Some prokaryotes, including <I>Escherichia coli</I> and <I>Pseudomonas putida</I>, naturally produce proteins capable of both detecting toxic aromatic molecules and regulating the transcription of corresponding catabolic genes. However, these naturally existing biosensors are limited by their detection range, expression leakage, and induction ratio.<br/><br/>Using these proteins, our team designed a series of improved aromatic sensors and combined them with related enzymes from their original catabolic pathways to increase the molecule detection range of these sensors. In order to semi-quantitatively measure the concentrations of target compounds, we constructed a biological band-pass circuit, enabling our sensors to detect the concentrations of target compounds within a certain range. In sum, we have been working on a fast, easy and accurate way to detect toxic aromatic compounds.</p>
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             <p id="AbstractContent">Aromatic pollution is becoming a worldwide concern. Monitoring aromatics pollution, however, remains a substantial challenge. Noting the abundant genomic data of prokaryotes from aromatics-rich environment, Peking iGEM applied part mining to the genetic repertoire to develop a comprehensive set of transcriptional-regulator-based biosensors for aromatics. The transcription regulators for each typical class of organic compounds were first bioinformatically determined and then promoter engineering and protein engineering were performed to tune their properties functionally.
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To expand the detection range, enzymes in upper pathways, working as plug-ins, were coupled with existing biosensors to degrade aromatics to detectable compounds. All these sensors are capable of detect a group of aromatics, and multi-sensor assay may provide an insight of detect certain components in samples. Additionally, for in situ detection, we construct the band pass filter to detect a certain range of concentration. Responses of biosensors equipped with band-pass filter can robustly reflect the concentration of environmental samples.
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In conclusion, Peking iGEM has remarkably enriched the library of biosensors for aromatics and enabled quantitative in situ detection for environmental monitoring. These biosensors, we expect, will be also potent for metabolic engineering and well-characterized synthetic biological tools.</p>
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Revision as of 06:11, 19 September 2013

Aromatics Busted

A FAST, EASY AND ACCURATE METHOD TO DETECT TOXIC AROMATIC COMPOUNDS

Aromatic pollution is becoming a worldwide concern. Monitoring aromatics pollution, however, remains a substantial challenge. Noting the abundant genomic data of prokaryotes from aromatics-rich environment, Peking iGEM applied part mining to the genetic repertoire to develop a comprehensive set of transcriptional-regulator-based biosensors for aromatics. The transcription regulators for each typical class of organic compounds were first bioinformatically determined and then promoter engineering and protein engineering were performed to tune their properties functionally.
To expand the detection range, enzymes in upper pathways, working as plug-ins, were coupled with existing biosensors to degrade aromatics to detectable compounds. All these sensors are capable of detect a group of aromatics, and multi-sensor assay may provide an insight of detect certain components in samples. Additionally, for in situ detection, we construct the band pass filter to detect a certain range of concentration. Responses of biosensors equipped with band-pass filter can robustly reflect the concentration of environmental samples.
In conclusion, Peking iGEM has remarkably enriched the library of biosensors for aromatics and enabled quantitative in situ detection for environmental monitoring. These biosensors, we expect, will be also potent for metabolic engineering and well-characterized synthetic biological tools.

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