Team:Aachen

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<div style="font-size:300%;color:#0069b8;margin-left:40px;">Cellock Holmes - A Case of Identity</div ><br/>
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<div style="font-size:175%;margin-top:12px;">Welcome to the iGEM Aachen 2014 Wiki!</div >
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<p style="margin-left:0px;margin-right:0px;">Until now, an ideal method to detect pathogenic bacteria is still elusive. The existing techniques require expensive equipment, trained personnel or labourious routines. </p>
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<p style="margin-left:0px;margin-right:0px;">We, the iGEM team Aachen, have developed a '''novel biosensor system''' called ''Cellock Holmes'' that '''detects bacteria on solid surfaces''' using a low-cost, rapid and portable technique.</p>
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<p style="margin-left:0px;margin-right:0px;">In this project, we demonstrate a unique way of combining '''Open Source biology, software and hardware'''.</p>
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Cellock Holmes - a case of identity
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<h2> Nosocomial infections - solving a real-world problem </h2>
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Existing sterilizing methods fail to completely eradicate harmful pathogens on solid surfaces, resulting in a high number of patients (~3.2 million in Europe) to be treated annually due to such infections. The European Union estimated that at least 800,000 of these cases would be preventable by implementing an intensive hygiene program, raising the necessity for a real-time detection technique. Current techniques fail since they are not effective, economical and rapid.
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Our iGEM Aachen team, consisting of life science, engineering as well as computer science students, aims to tackle these difficulties by developing a real-time pathogen detection technique, called ‘Cellock Holmes’, using SynBio and open hardware.
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Our project is not only applicable to the detection of pathogens but we are looking to develop it further into a platform for a general 2D detection of nearly any cell or substance.  
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Strategy and focus
 
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While detection is the first step, characterization and quantification are equally important to reliably assess the danger of an infection.
 
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<i> Cellock Holmes </i> is devised based upon a SynBio approach comprising of a <b> two-dimensional biosensor and a measurement device </b>. The two-dimensional biosensor (Figure 1) is designed to recognize quorum sensing molecules secreted by the pathogen cells and generate a distinct fluorescence signal.
 
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<tr><td><div style="font-size:175%;margin-top:12px;">Achievements</div></td></tr>
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<i>Figure 1: Sampling of microorganisms (left) for the detection with a 2D biosensor (right)</i></figcaption>
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In parallel, the team also aims to develop a more flexible novel molecular detection system for the biosensor based on binding proteins and genetic probes.
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In parallel, the team also aims to develop a more flexible novel molecular detection system for the biosensor based on binding proteins and genetic probes.
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These molecular approaches were selected as a reasonable spectrum from the established to novel and high-potential modules.
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The Aachen team is committed to consider all aspects of the entire project, including biosafety. The living cells inside the measurement device are ensured to be killed by irradiation with strong UV light. In this way neither the sampled pathogens nor the genetically modified sensor cells can escape our biosensor unit.
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<td><p style="margin-left:0px;margin-right:20px;overflow:auto;"> To watch our <b>final presentation</b> just click <a href="https://www.youtube.com/watch?v=-pKLyq3BD0k" target="_blank"> here </a>.</p></td>
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<td><p style="margin-left:0px;margin-right:20px;overflow:auto;">The whole project was awarded <b>Best Measurement Project</b> and won the track.</p></td>
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<td><p style="margin-left:0px;margin-right:20px;overflow:auto;">Our image analysis software <i>Measurarty</i> was awarded <b>Best Supporting Software</b> in the overgrad section.</p></td>
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<td><p style="margin-left:0px;margin-right:20px;overflow:auto;">Our work on biosafety was rewarded with the <b>Safety Commendation</b> special award.</p></td>
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Modular hardware ‒ Open for versatility
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<i>Figure 2 Measurement device based on counting of visual signal density</i></figcaption>
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By embracing the open hardware approach and using both low- and high-level components such as Arduino microcontrollers and systems-on-a-chip (SoCs) as Raspberry Pi, we maximize the measurement device’s versatility.
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The visual signals generated by the biosensor will be captured by a camera (Figure 2) and analyzed by our measurement software, ‘Measurarty’. The software uses modern region- and graph-cut-based evaluation methods to analyze the data efficiently.
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The device will be finally tailored to perfectly fit the needs of end users, for example by minimizing the need for electricity.
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Direct Applications
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Detection and identification of pathogens with Cellock Holmes is crucial in different scenarios such as
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<li> Hospitals </li>
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<li> R&D labs </li>
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<li> Nursing homes </li>
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<li> Food & water industry </li>
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The cost-efficiency allows for a standardized method to <b> uncouple low-budget institutions from the need for expensive equipment and highly trained personnel.</b>
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Furthermore, <b> we would like to conduct an economic review </b> of our project and, depending on the outcome, a business strategy based on the improvement and distribution of hardware and biological component kits.
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Social and cooperation opportunities
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The open hardware components can be easily accessed and assembled and thus <b>stimulate fair distribution</b> of the entire technology involved in this project. For device construction, reusable parts will be employed wherever possible in order to <b>reduce the environmental footprint.</b>
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Due to the modularity of our hardware components, we aim to create additional devices for self-assembly and use in the lab. We also intend to bring open hardware and software development much closer to synthetic biology, and consider several cooperation opportunities with other iGEM teams and industry partners.
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<td><p style="margin-left:0px;margin-right:20px;overflow:auto;">We fulfilled all Bronze and Silver criteria and won a <b>Gold Medal</b>.</p></td>
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|[[File:Logo_Buergerstiftung-Aachen_hoch.jpg|80px|center|Bürgerstiftung Aachen]]
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|[[File:Aachen_Niersverband_Firmenlogo.jpg|159px|Niersverband]]
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|[[File:Aachen_Logo_bio7.png|115px|link=http://www.molbiotech.rwth-aachen.de|Institute for Molecular Biotechnology]]
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|[[File:Aachen_Logo_HISynBio.png|123px|link=http://www.helmholtz.de/en/about_us/initiating_and_networking/assuring_excellence/synthetic_biology|Helmholtz Association - Initiative on Synthetic Biology]]
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Latest revision as of 14:01, 5 May 2015


Cellock Holmes - A Case of Identity

Welcome to the iGEM Aachen 2014 Wiki!

Until now, an ideal method to detect pathogenic bacteria is still elusive. The existing techniques require expensive equipment, trained personnel or labourious routines.

We, the iGEM team Aachen, have developed a '''novel biosensor system''' called ''Cellock Holmes'' that '''detects bacteria on solid surfaces''' using a low-cost, rapid and portable technique.

In this project, we demonstrate a unique way of combining '''Open Source biology, software and hardware'''.

Achievements

To watch our final presentation just click here .

The whole project was awarded Best Measurement Project and won the track.

Our image analysis software Measurarty was awarded Best Supporting Software in the overgrad section.

Our work on biosafety was rewarded with the Safety Commendation special award.

We fulfilled all Bronze and Silver criteria and won a Gold Medal.




Bürgerstiftung Aachen
Niersverband Genscript Eurofins Genomics Labomedic
BMBF IDT m2p labs Carl Roth pro RWTH
Institute of Applied Microbiology - iAMB Institute for Molecular Biotechnology Helmholtz Association - Initiative on Synthetic Biology Aachen Biology and Biotechnology - ABBt Forschungszentrum Jülich Fab Lab Aachen Schwaneberg Group

Contact Disclaimer
Retrieved from "http://2014.igem.org/Team:Aachen"