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<h3> Bioluminescence Resonance Energy Transfer Pairs </h3> | <h3> Bioluminescence Resonance Energy Transfer Pairs </h3> | ||
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<img width = 100% src="https://static.igem.org/mediawiki/2018/c/ce/T--Utrecht--2018--BRET_Assay--Main003.png" alt="BRET_Assay.png"> | <img width = 100% src="https://static.igem.org/mediawiki/2018/c/ce/T--Utrecht--2018--BRET_Assay--Main003.png" alt="BRET_Assay.png"> | ||
− | <figcaption>Figure 2: BRET-pair activity. A) When CheZ and CheY do not interact, the distance between Luciferase and eYFP is too large for Luciferase to excite eYFP. As a consequence, only Luciferase emits light. B) Upon interaction of CheZ and CheY, Luciferase and eYFP are in close proximity. eYFP is excited by photons produced by luciferase, leading to luminescence of eYFP.</figcaption> | + | <figcaption" style = "padding; 2%;>Figure 2: BRET-pair activity. A) When CheZ and CheY do not interact, the distance between Luciferase and eYFP is too large for Luciferase to excite eYFP. As a consequence, only Luciferase emits light. B) Upon interaction of CheZ and CheY, Luciferase and eYFP are in close proximity. eYFP is excited by photons produced by luciferase, leading to luminescence of eYFP.</figcaption> |
</figure> | </figure> | ||
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+ | <p>To measure the concentration of ligand present, the activity of wild type and modified Tar receptors have to be measured. Therefore, we designed a Bioluminescence Resonance Energy Transfer (BRET) based sensor, inspired by a previously made chemotaxis BRET-pair (Cui et al. 2014). BRET is a technique where photons produced by a luciferase are used to excite a fluorophore. We opted to use Renilla luciferase (RLuc) since it produces photons that can excite eYFP. In addition, the substrate for this protein, coelenterazine, is permeable to the cell which makes it perfect for E. coli based bioassays. For energy transfer to occur, the RLuc and eYFP proteins must be less than 10 nm apart. Thus by measuring the ratio of light emitted by the two molecules, we can detect whether they are physically close, as can be seen in figure 2. </p> | ||
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Revision as of 21:59, 12 October 2018