Difference between revisions of "Team:UofUppsala"

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<p>NANOFLEX is a cellular biosensor adaptable to detect your analytes of choice and generate a colorimetric output, visible by the naked eye. The first generation NANOFLEX achieves this with 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 systems sensitivity at low concentrations of analyte in both analytically clean and crude samples. This was also reinsured by a stochastic model predicting the same pattern for signal in different caffeine concentrations.</p>
 
<p>NANOFLEX is a cellular biosensor adaptable to detect your analytes of choice and generate a colorimetric output, visible by the naked eye. The first generation NANOFLEX achieves this with 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 systems sensitivity at low concentrations of analyte in both analytically clean and crude samples. This was also reinsured by a stochastic model predicting the same pattern for signal in different caffeine concentrations.</p>
  
<p>The Next generation of NANOFLEX focuses on bettering the signal by amplifying it and removing the background noise. Signal amplification and noise reduction modules employ Q-beta viral replicase and T7 RNA polymerase systems respectively. Switch towards an enzymatic reporter, beta-galactosidase, is explored for faster and stronger signals as well.</p>
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<p>The Next generation of NANOFLEX focuses on bettering the signal by amplifying it and removing the background noise. Signal amplification and noise reduction modules employ Q&beta; viral replicase and T7 RNA polymerase systems respectively. Switch towards an enzymatic reporter, &beta;-galactosidase, is explored for faster and stronger signals as well.</p>
  
 
<p>Further focus lay on enabling detection of larger analytes that cannot cross the membrane of 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 gram positive host, B. subtilis. This will allow detection in the extracellular media across the single membrane of the organisms
 
<p>Further focus lay on enabling detection of larger analytes that cannot cross the membrane of 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 gram positive host, B. subtilis. This will allow detection in the extracellular media across the single membrane of the organisms

Revision as of 18:30, 5 December 2020


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NANOFLEX

Our detection device for your analyte of choice


NANOFLEX: Standardized, Flexible and Accessible Cellular Biosensor

Best New Application Project of iGEM 2020


NANOFLEX is a cellular biosensor adaptable to detect your analytes of choice and generate a colorimetric output, visible by the naked eye. The first generation NANOFLEX achieves this with 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 systems sensitivity at low concentrations of analyte in both analytically clean and crude samples. This was also reinsured by a stochastic model predicting the same pattern for signal in different caffeine concentrations.

The Next generation of NANOFLEX focuses on bettering 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. Switch towards an enzymatic reporter, β-galactosidase, is explored for faster and stronger signals as well.

Further focus lay on enabling detection of larger analytes that cannot cross the membrane of 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 gram positive host, B. subtilis. This will allow detection in the extracellular media across the single membrane of the organisms 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 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.

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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.

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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.

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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.

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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.

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