Difference between revisions of "Part:BBa J10050:Experience"

 
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===Applications of BBa_J10050===
 
===Applications of BBa_J10050===
Lambert 2019 used this part in experiments to model the effect of different promoter strengths and ribosomal binding strengths to develop a model to aid in controlling expression in constructs.
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Lambert_GA 2019 used this part in experiments to characterize the effect of different strengths of promoters and ribosomal binding sites on expression. The data obtained can aid in the design of constructs by giving information about controlling expression.
  
 
===User Reviews===
 
===User Reviews===
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Differences in promoter strength had more effect on enzymatic expression compared to differences in RBS strengths as evidenced in the graphs below. Lambert_GA 2019 had originally thought that BBa_J10050 would result in the least amount of expression out of the tested combinations, but this part, along with BBa_J10051 and BBa_J10052, all shared the lowest expression out of the combinations. This is due to the translation rate not being an important factor in the determination of expression of ONP; however, the promoter strength is a significant factor. In other words, expression values are significantly different with different promoters but not with different RBS strengths.
 
Differences in promoter strength had more effect on enzymatic expression compared to differences in RBS strengths as evidenced in the graphs below. Lambert_GA 2019 had originally thought that BBa_J10050 would result in the least amount of expression out of the tested combinations, but this part, along with BBa_J10051 and BBa_J10052, all shared the lowest expression out of the combinations. This is due to the translation rate not being an important factor in the determination of expression of ONP; however, the promoter strength is a significant factor. In other words, expression values are significantly different with different promoters but not with different RBS strengths.
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<center>[[File:T--Lambert GA--tuning1a.png|800px]]</center>
 
<center>[[File:T--Lambert GA--tuning1a.png|800px]]</center>
 
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<center><i>Figure 1: This sequence is to be used as a proof of concept, and can be used to develop biosensor control devices. The highlighted points in yellow represent BBa_J10050 (weak promoter/ weak RBS) compared to BBa_J10051 (weak promoter/ strong RBS) and BBa_J10052(weak promoter/ medium RBS), both in light blue. The weak, medium, and strong RBS have similar expression levels when in combination with the weak promoter.</i></center>
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<center><i>Figure 1: This sequence is to be used as a proof of concept, and can be used to develop biosensor control devices. The highlighted points in yellow represent BBa_J10050 (weak promoter/ weak RBS) compared to BBa_J10051 (weak promoter/ strong RBS) and BBa_J10052 (weak promoter/ medium RBS), both in light blue. The weak, medium, and strong RBS have similar expression levels when in combination with the weak promoter.</i></center>
 
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The graphs above show that RBS strength has a negligible effect on expression, whereas increased promoter strength increases expression.
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The graphs above show that RBS strength has a negligible effect on expression, whereas increased promoter strength increases expression. </center>
  
  

Latest revision as of 19:52, 21 October 2019


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Please enter how you used this part and how it worked out.

Applications of BBa_J10050

Lambert_GA 2019 used this part in experiments to characterize the effect of different strengths of promoters and ribosomal binding sites on expression. The data obtained can aid in the design of constructs by giving information about controlling expression.

User Reviews

UNIQ0fcfc656b700ba97-partinfo-00000000-QINU

Lambert_GA 2019 Characterization

Characterization of weak promoter (BBa_J23113) and weak RBS (BBa_B0031)

Differences in promoter strength had more effect on enzymatic expression compared to differences in RBS strengths as evidenced in the graphs below. Lambert_GA 2019 had originally thought that BBa_J10050 would result in the least amount of expression out of the tested combinations, but this part, along with BBa_J10051 and BBa_J10052, all shared the lowest expression out of the combinations. This is due to the translation rate not being an important factor in the determination of expression of ONP; however, the promoter strength is a significant factor. In other words, expression values are significantly different with different promoters but not with different RBS strengths.


T--Lambert GA--tuning1a.png


Figure 1: This sequence is to be used as a proof of concept, and can be used to develop biosensor control devices. The highlighted points in yellow represent BBa_J10050 (weak promoter/ weak RBS) compared to BBa_J10051 (weak promoter/ strong RBS) and BBa_J10052 (weak promoter/ medium RBS), both in light blue. The weak, medium, and strong RBS have similar expression levels when in combination with the weak promoter.



T--Lambert GA--tuning1b.png


Figure 2: The highlighted points represent the BBa_J10050 composite part (weak promoter/ weak RBS). As the promoter strength increases, the expression increases as well.



The graphs above show that RBS strength has a negligible effect on expression, whereas increased promoter strength increases expression.













UNIQ0fcfc656b700ba97-partinfo-00000001-QINU