Revision as of 20:35, 17 October 2014

Cellock Holmes - A Case of Identity

"What's living on the table in front of you?" seems to be an easy question to answer: microoganisms.

However, "Which microorganisms are there?" is not such a trivial question anymore, especially in environments where you only want to have a non-pathogenic microflora or no microorganisms at all, such as lab spaces or health care institutions.

Our project Cellock Holmes solves this case of identy.

Cellock Holmes encompasses our 2D biosensing technology with which can detect bacteria on solid surfaces. Cellock Holmes is mainly devised to overcome the drawbacks of existing techniques and aims for a faster, inexpensive, open source, mobile and an easy to handle detection method.

We demonstrate the proof-of-concept for Cellock Holmes by detecting an opportunistic pathogen Pseudomonas aeruginosa. This gram-negative prokaryote infects patients with open wounds and burns as well as immunodeficient people. P. aeruginosa cells use quorum sensing to communicate with each other by secreting autoinducers into their environment. Using a Synthetic Biology (SynBio) approach, our team engineered sensor cells, so-called Cellocks, that are able to detect the native autoinducer of P. aeruginosa and elicit a distinct fluorescence signal. Further, the response time of our sensor cells has been highly enhanced by the use of our special REACh construct. The advantage of our REACh construct is also back-up by our model of our biosensor's kinetics.

While Cellocks are specifically designed to detect P. aeruginosa, with a modular composition of our genetic device, it is possible to easily engineer Cellocks to detect autoinducers of other bacteria. Even more flexibility is introduced when using our alternative molecular approach using Galectin-3.

Hand in hand with the biological side of our project, our IT crew built the WatsOn , our measurement device. WatsOn is able to read and analyze the fluorescent signal emitted by the 2D biosensor. For an Open access, we publish DIY construction manual and technical details of our devices.

To learn more about the different parts of our 2D biosensor, click on the respective panels on the right.

The OD/F Device - A Project Spin-Off

OD/F Device

Last but not the least, we present our OD/F Device. This device is designed to measure optical density and fluorescence of a liquid sample in cuvettes. The measurement values are subsequently displayed to the user.

The OD/F Device is as well designed in accordance with the Open Source principle and all technical details as well as construction manuals are published on our wiki. We demonstrate immediate application of the OD/F Device in schools, community labs and in the bio-hacker scene.

Contact Disclaimer

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 ''Cellock Holmes'' encompasses our '''[https://2014.igem.org/Team:Aachen/Project/2D_Biosensor 2D biosensing technology]''' with which can detect bacteria on solid surfaces. ''Cellock Holmes'' is mainly devised to overcome the drawbacks of existing techniques and aims for a faster, inexpensive, open source, mobile and an easy to handle detection method.
-We demonstrate the '''proof-of-concept''' for ''Cellock Holmes'' by detecting an opportunistic pathogen ''Pseudomonas&nbsp;aeruginosa''. This gram-negative prokaryote infects patients with open wounds and burns as well as immunodeficient people. ''P.&nbsp;aeruginosa'' cells use quorum sensing to communicate with each other by secreting autoinducers into their environment. Using a Synthetic Biology (SynBio) approach, our team engineered sensor cells, so-called ''Cellocks'', that are able to detect the native autoinducer of ''P.&nbsp;aeruginosa'' and elicit a distinct fluorescence signal. Further, the response time of our sensor cells has been highly enhanced by the use of our special [https://2014.igem.org/Team:Aachen/Project/FRET_Reporter '''REACh construct''']. The advantage of our REACh construct is also back-up by our [https://2014.igem.org/Team:Aachen/Project/Model model] of our biosensor's kinetics.
+We demonstrate the '''proof-of-concept''' for ''Cellock Holmes'' by detecting an opportunistic pathogen ''Pseudomonas&nbsp;aeruginosa''. This gram-negative prokaryote infects patients with open wounds and burns as well as immunodeficient people. ''P.&nbsp;aeruginosa'' cells use quorum sensing to communicate with each other by secreting autoinducers into their environment. Using a Synthetic Biology (SynBio) approach, our team engineered sensor cells, so-called ''Cellocks'', that are able to detect the native autoinducer of ''P.&nbsp;aeruginosa'' and elicit a distinct fluorescence signal. Further, the response time of our sensor cells has been highly enhanced by the use of our special [https://2014.igem.org/Team:Aachen/Project/FRET_Reporter '''REACh construct''']. The advantage of our REACh construct is also back-up by our [https://2014.igem.org/Team:Aachen/Project/Model '''model'''] of our biosensor's kinetics.
 While ''Cellocks'' are specifically designed to detect ''P.&nbsp;aeruginosa'', with a modular composition of our genetic device, it is possible to easily engineer ''Cellocks'' to detect autoinducers of other bacteria. Even more flexibility is introduced when using our [https://2014.igem.org/Team:Aachen/Project/Gal3 '''alternative molecular approach using Galectin-3'''].