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<h1 class="text-title animate__animated animate__fadeInUp animate__delay-4s">NANOFLEX</h1> | <h1 class="text-title animate__animated animate__fadeInUp animate__delay-4s">NANOFLEX</h1> | ||
− | <h2 class="text-subtitle animate__animated animate__fadeInUp animate__delay-5s"> | + | <h2 class="text-subtitle animate__animated animate__fadeInUp animate__delay-5s">Our detection device for your analyte of choice</h2> |
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<div class="godown rounded-circle animate__animated animate__fadeIn animate__delay-5s"><a href="#main-body" onclick="function()"><img width="100%" src="https://static.igem.org/mediawiki/2020/d/d8/T--UofUppsala--white-arrow.svg"></a></div> | <div class="godown rounded-circle animate__animated animate__fadeIn animate__delay-5s"><a href="#main-body" onclick="function()"><img width="100%" src="https://static.igem.org/mediawiki/2020/d/d8/T--UofUppsala--white-arrow.svg"></a></div> | ||
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− | <h3> | + | <br class="title-br"> |
− | <p> | + | <h1 style="text-align:center">NANOFLEX: Standardized, Flexible and Accessible Cellular Biosensor </h1> |
+ | <h3 style="text-align:center">Best New Application Project of iGEM 2020</h3><hr> | ||
+ | |||
+ | <p>NANOFLEX is a cellular biosensor adaptable to detect your analyte of choice and generate a colorimetric output, visible by the naked eye. The First Generation of NANOFLEX achieves this through using modified DNA binding domains (DBDs) fused to nanobodies that bind specifically to an analyte of choice, binding a specific promoter, pCadBA, which induces a reporter gene. The proof of concept of the First Generation of NANOFLEX uses anti-caffeine nanobody and mRFP1 as the reporter gene, showing the system's sensitivity at low concentrations of analyte in both analytically clean and crude samples. This was also reassured by a stochastic model predicting the same pattern for the signal in different caffeine concentrations.</p> | ||
+ | |||
+ | <p>The Next Generation of NANOFLEX focuses on improving the signal by amplifying it and removing the background noise. Signal amplification and noise reduction modules employ Qβ viral replicase and T7 RNA polymerase systems respectively. A switch towards an enzymatic reporter, β-galactosidase, is explored for faster and stronger signals as well.</p> | ||
+ | |||
+ | <p>Further focus lays on enabling detection of larger analytes that cannot cross the membrane of our biosensor cell <i>Escherichia coli</i> (<i>E. coli</i>), for example proteins. Firstly, the avenue of outer cell wall deficient <i>E. coli</i> was explored. Secondly, modified NarX-NarL, two-component system from <i>E. coli</i>, fused to nanobodies was explored as the system is rewired for a gram positive host, <i>Bacillus subtilis</i>. This will allow detection in the extracellular media, as this organism only has a single membrane.</p> | ||
+ | |||
+ | <p>Protein detection was explored in several ways. A guideline on creating new nanobodies was compiled and a Molecular Dynamics (MD) pipeline was created in order to study nanobody affinity in silico. We explored detection of HSP16.3 protein, a biomarker for tuberculosis, as a potential application of NANOFLEX. An anti-HSP16.3 nanobody was run through the MD pipeline and practical implementation information was gathered via interviews with experts in the field.</p> | ||
+ | |||
+ | <p>NANOFLEX's potential lays within an easy-to-use format of a cellular biosensor. In order to envision potential distribution, a prototype of a distribution kit was developed and biosensing was tested after lyophilization. Read more <a href="https://2020.igem.org/Team:UofUppsala/Description">here</a>.</p> | ||
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<h5 class="card-title text-center">In the Lab</h5> | <h5 class="card-title text-center">In the Lab</h5> | ||
− | <p class="card-text"> | + | <p class="card-text">In parallel to the development of our sensor, a lot of effort this year went to the “Development of Type IIS cloning Standard”, which allows a higher degree of modularity for NANOFLEX.</p> |
</div> | </div> | ||
<a href="https://2020.igem.org/Team:UofUppsala/Results" class="card-footer text-center"> Read more </a> | <a href="https://2020.igem.org/Team:UofUppsala/Results" class="card-footer text-center"> Read more </a> | ||
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<div class="p-3"><img class="card-img-top rounded-circle" src="https://static.igem.org/mediawiki/2020/d/d1/T--UofUppsala--cards_model.svg" alt="Card image cap"></div> | <div class="p-3"><img class="card-img-top rounded-circle" src="https://static.igem.org/mediawiki/2020/d/d1/T--UofUppsala--cards_model.svg" alt="Card image cap"></div> | ||
<div class="card-body"> | <div class="card-body"> | ||
− | <h5 class="card-title text-center">Computational | + | <h5 class="card-title text-center">Computational Modelling</h5> |
<p class="card-text">Our modelling approach is two-fold, a python based stochastic model for expression of detection proteins and a molecular dynamics pipeline for modifying the nanobody component of our sensor.</p> | <p class="card-text">Our modelling approach is two-fold, a python based stochastic model for expression of detection proteins and a molecular dynamics pipeline for modifying the nanobody component of our sensor.</p> | ||
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Latest revision as of 21:41, 17 December 2020
NANOFLEX: Standardized, Flexible and Accessible Cellular Biosensor
Best New Application Project of iGEM 2020
NANOFLEX is a cellular biosensor adaptable to detect your analyte of choice and generate a colorimetric output, visible by the naked eye. The First Generation of NANOFLEX achieves this through using modified DNA binding domains (DBDs) fused to nanobodies that bind specifically to an analyte of choice, binding a specific promoter, pCadBA, which induces a reporter gene. The proof of concept of the First Generation of NANOFLEX uses anti-caffeine nanobody and mRFP1 as the reporter gene, showing the system's sensitivity at low concentrations of analyte in both analytically clean and crude samples. This was also reassured by a stochastic model predicting the same pattern for the signal in different caffeine concentrations.
The Next Generation of NANOFLEX focuses on improving the signal by amplifying it and removing the background noise. Signal amplification and noise reduction modules employ Qβ viral replicase and T7 RNA polymerase systems respectively. A switch towards an enzymatic reporter, β-galactosidase, is explored for faster and stronger signals as well.
Further focus lays on enabling detection of larger analytes that cannot cross the membrane of our biosensor cell Escherichia coli (E. coli), for example proteins. Firstly, the avenue of outer cell wall deficient E. coli was explored. Secondly, modified NarX-NarL, two-component system from E. coli, fused to nanobodies was explored as the system is rewired for a gram positive host, Bacillus subtilis. This will allow detection in the extracellular media, as this organism only has a single membrane.
Protein detection was explored in several ways. A guideline on creating new nanobodies was compiled and a Molecular Dynamics (MD) pipeline was created in order to study nanobody affinity in silico. We explored detection of HSP16.3 protein, a biomarker for tuberculosis, as a potential application of NANOFLEX. An anti-HSP16.3 nanobody was run through the MD pipeline and practical implementation information was gathered via interviews with experts in the field.
NANOFLEX's potential lays within an easy-to-use format of a cellular biosensor. In order to envision potential distribution, a prototype of a distribution kit was developed and biosensing was tested after lyophilization. Read more here.
In the Lab
In parallel to the development of our sensor, a lot of effort this year went to the “Development of Type IIS cloning Standard”, which allows a higher degree of modularity for NANOFLEX.
Computational Modelling
Our modelling approach is two-fold, a python based stochastic model for expression of detection proteins and a molecular dynamics pipeline for modifying the nanobody component of our sensor.
Outreach
Informed decision-making is the motto of our project. From early on, we have been contacting experts and professors for their inputs. We have also organized education and collaborations programs directed to the iGEM community, but also to the general public.
Team
We are the team of Uppsala University (Sweden) for the complicated year of 2020. With different education backgrounds and from all over the world, we are 25 students that decided to enrol in the iGEM adventure.