Difference between revisions of "Part:BBa K4140003"

(Usage)
Line 23: Line 23:
 
<br><br><br>
 
<br><br><br>
 
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.
 +
==Experimental Characterization==
 +
[[File:tube131.png|right|]]
 +
<br><br><br><br><br>
 +
This figure shows an experimental characterization of this part as it's validated through gel electrophoresis as it is in lane 5. The run part (ordered from IDT) included ParoF promoter - P2A - L7Ae.
 +
<br><br><br><br><br><br><br><br>
 
==References==
 
==References==
 
<!-- Add more about the biology of this part here
 
<!-- Add more about the biology of this part here

Revision as of 15:08, 10 October 2022


ParoF promoter


Part Description

ParoF promoter is a constitutive promoter present in E. Coli which is sensitive to tyrosine and regulated by tyrR protein, it intitiates the synthesis of DAHP (3-deoxy-D-arabino-heptulosonate 7-phosphate synthase) and it is what makes it sensitive to phenylalanine as TyrR & Phenylalanine complex causes inhibition of the transcription of aroF

Usage

Due to its sensitivity to TyrR we use this promoter to regulate the expression of L7Ae under the effect of tyrR and phenylalanine the activity of paroF is optimum for L7Ae expression but in the presence of TyrR and tyrosine the expression of L7Ae is markedly reduced as shown in figure 1.

Figure 1. (shows the usage of Parof 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 (1) and graph (1).

Modell1.png
Figure (1) 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.

Experimental Characterization

Tube131.png






This figure shows an experimental characterization of this part as it's validated through gel electrophoresis as it is in lane 5. The run part (ordered from IDT) included ParoF promoter - P2A - L7Ae.







References

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]