Difference between revisions of "Part:BBa K4140002"

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Graph(1) illustrates a direct relation between biomarker and beta-galactosidase ,so as the biomarker increases, the released amount of  beta-galactosidase increases till it reaches constant value after about 30 time units. Therefore, the maximum amount of the biomarker releases the maximum amount of beta-galactosidase.
 
Graph(1) illustrates a direct relation between biomarker and beta-galactosidase ,so as the biomarker increases, the released amount of  beta-galactosidase increases till it reaches constant value after about 30 time units. Therefore, the maximum amount of the biomarker releases the maximum amount of beta-galactosidase.
 
<!-- Add more about the biology of this part here
 
<!-- Add more about the biology of this part here
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==Experimental Characterization==
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[[File:gell11.png|right|]]
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<br><br><br><br><br>
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This figure shows an experimental characterization of this part as it's validated through gel electrophoresis as it is in lane 6 (the last one). The run part (ordered from IDT) included T7P - TyrR RBS - TyrR - TyrPromoter.
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<br><br><br><br><br><br><br><br>
 
===Usage and Biology===
 
===Usage and Biology===
  

Revision as of 18:47, 9 October 2022


TyrR RBS


Part Description

Sequence upstream of the start codon is crucial for the recruitment of a ribosome during the initiation of translation, which influences the rate and efficiency at which a certain Open Reading Frame (ORF) is translated by the following mechanisms:
-the rate of ribosomal recruitment to RBS
-the speed at which a recruited ribosome is able to start translation (i.e. the translation initiation efficiency)
-The ideal spacing of the RBS from the start codon

Usage

We use this part to increase the expression of TyrR by increasing the rate of ribosomal recruitment and the ability to start and influences the precision and effectiveness with which the mRNA translation process codon. as shown in figure 1.

Figure 1. (shows the usage of TyrR RBS in our circuit design)







‏‏

Characterization by mathematical modeling

We are using mathematical modeling to detect the increased level of phenylalanine (phe) in phenylketonuria patients in our diagnostic platform. It depends on a whole cell-based biosensor through a cascade of reactions to finally end by formation of β-galactosidase that turns the color into blue once bound to its substrate (X-gal) as mentioned in figure (2) and graph (1).

Modell1.png
Figure (2) represents the cascade of reactions in whole cell-based biosensor model. Modell11.png


Graph(1) illustrates a direct relation between biomarker and beta-galactosidase ,so as the biomarker increases, the released amount of beta-galactosidase increases till it reaches constant value after about 30 time units. Therefore, the maximum amount of the biomarker releases the maximum amount of beta-galactosidase. Sequence and Features


Assembly Compatibility:
  • 10
    COMPATIBLE WITH RFC[10]
  • 12
    COMPATIBLE WITH RFC[12]
  • 21
    COMPATIBLE WITH RFC[21]
  • 23
    COMPATIBLE WITH RFC[23]
  • 25
    COMPATIBLE WITH RFC[25]
  • 1000
    COMPATIBLE WITH RFC[1000]