Difference between revisions of "Part:BBa K4815007"

 
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<partinfo>BBa_K4815007 short</partinfo>
 
<partinfo>BBa_K4815007 short</partinfo>
  
The functional promoter sequence (about 223 bp) generated by our AI model Pymaker is inserted into the dual-fluorescence reporter system for characterization and we describe it as pDualPL1. Random DNA yields diverse expression levels in a yeast promoter library, while we can use the episomal dual reporter system expressing a constitutive red fluorescent protein (RFP) and a variable yellow fluorescent protein (YFP) to quantify promoter activity. By adpoting the log(YFP/RFP) measured using flow cytometry, we can detect the expression rate of our synthesized promoters. The advantage of this system is its ability to eliminate the influence of plasmid copy number and the growth status of the bacterial host, thereby providing a more direct measurement of the relative expression strength of the synthesized promoters by the Pymaker.
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==Introduction==
 +
===Description===
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<div style="text-align:justify;">
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The part we provide is the functional promoter sequence (about 223 bp) generated by our AI model Pymaker. PYPL1 means it is predicted to be anti-mutant and to drive extremely low expression rate by our AI model.  
 +
===Origin===
 +
<div style="text-align:justify;">
 +
PYPL1 targets at s. cerevisiae (saccharomyces cerevisiae), the most studied eukaryotic expression system in synthetic biology.
 +
===Loci===
 +
PYPL1 consists two parts: the core promoter and the scaffold. The core promoter is an 80 bp sequence and is seated at approximately -170 to -90 upstream to the codon (which is the presumed transcription start site-TSS and is where most transcription factors binding sites lie).  
 +
The scaffold is a preserved sequence in all PYPLs. It is a structure that we learned and utilized from a previous research that can link the core promoter with the codon and provide restriction sites of BamH I and Xho I which make it possible for the plasmids with the scaffold to be inserted by various core promoter sequences at ease.
 +
.
  
<!-- Add more about the biology of this part here
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==Usage and Biology==
===Usage and Biology===
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To begin with, PYPL1 can drive <html><a style="font-weight:900;color:red">extremely low expression</a> </html> f downstream products as is predicted by our excellent AI model Pymaker. Furthermore, our experiments have abundantly validated the ability of PYPL1. Under same circumstance, PYPL1 can drive expression<html><a style="font-weight:900;color:red"> lower than</a> </html> that of natural promoters (pTEF, pGAP, pADH), which can be related with a series of dynamic events, such as the regulation of some metabolic pathway. Meanwhile, our experiments proof that this ability of driving low expression is preserved among different downstream products, which make PYPL1 an excellent and practical substitute for natural promoters.
 +
Besides, PYPL1 is <html><a style="font-weight:900;color:red">anti-mutant</a> </html> as our excellent AI model predicts. Our AI model Pymaker outperforms competitors on all sample size datasets, and its ability to predict the specific expression rate of the core promoters is proved by experiments. On this basis, we are very confident that by introducing 1-3 random mutations per generation and imitating 100 generations, those promoters, whose expression rates predicted by Pymaker remain low, are highly anti-mutant. . 
 +
 
 +
What’s more, PYPL1 shows high variance expression rate among yeast population, which is similar to the natural promoters instead of the PYPHs. The low and unstable expression character of PYPL1 is as expected.
 +
 
 +
 
 +
 
 +
==Sequence and Features==
 +
<partinfo>BBa_K4815000 SequenceAndFeatures</partinfo>
 +
 
 +
==Experiments==
 +
 
 +
===Extraction===
 +
We design to extract promoter sequences from synthesized whole dual-fluorescence reporter plasmids, and then insert them into the LTB-eGFP expression plasmids.We extract PYPL1-3 from our dual-fluorescence reporter plasmids, using colony PCR with designed primers (primers sequences are shown in the figure below, and spacer L1-3 stands for PYPL1-3)
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<html>
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<figure><center>
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<img alt=""
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src="https://static.igem.wiki/teams/4815/wiki/result/9.png"
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width="400"
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title="">
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<figcaption> The bands are in highly consistent with the length of PYPL1(223 bp),which means that our construction of the PYPL1 is a complete success.  </figcaption>
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</figure>
 +
</html>
 +
 
 +
===Validation===
 +
We synthesized the dual-fluorescence reporter plasmids where PYPL1 is already placed in, comparing to the natural promoter GAP. We transform the plasmids into targeted yeasts and use fluorescence-activated cell sorting (FACS) strategy and record the fluorescence density through a flow cytometer. The figure above shows the result.
 +
 
 +
<html>
 +
<figure><center>
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<img alt=""
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src="https://static.igem.wiki/teams/4815/wiki/2138.jpg"
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width="700"
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title="">
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<figcaption> The figure shows that PYPH1 drives expression rate over <a style="font-weight:900;color:red">0.8 times</a> that of GAP. What's more, this density figure explicitly reviewed that PYHP1 drive <a style="font-weight:900;color:red">a constant high expression rate</a> regardless of the yeasts' population, which is not the case considering the natural promoters (the waveform of PYPH1 is much sharper than that of GAP). </figcaption>
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</figure>
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</html> 
 +
 
 +
===Proof In different scenario===
 +
PYPH 1 has shown its ability in tackling real challenges. Currently, significant breakthroughs have been achieved in the application of brewing yeast in the field of biotechnology. One of them is the production of the heat-labile toxin B subunit (LTB) of Escherichia coli using brewing yeast, an important oral vaccine adjuvant widely used to prevent various diseases such as cholera, traveler’s diarrhea, and E. coli infection.
 +
We use the same plasmid framework of BBa_K4815011 and change the YeGFP with our part BBa_K4815021, aimed at using PYPH1 to drive the expression of fusion protein LTB-eGFP.
 +
We test the expression rate from three different dimensions: flow cytometry, protein density through western blot, transcription accumulation through quantitative RT PCR, and the results are as follows.
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<html>
 +
<style> .image-container {display: flex; justify-content: center; } .image-container img { margin: 0 10px;} </style> <div class="image-container"> <img src="https://static.igem.wiki/teams/4815/wiki/2215.png" alt="Image 1" width = 40%> <img src="https://static.igem.wiki/teams/4815/wiki/2216.png" alt="Image 2" width=40%> </div>
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<figure><center>
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<img alt=""
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src="https://static.igem.wiki/teams/4815/wiki/2228.png"
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width="300"
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title="">
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<figcaption> The figures shows the western blot result of LTB-eGFP, where H1 stands for PYPH1. Using GAPDH as an internal control ,we quantify the expression intensity of LTB-eGFP as Intensity[LTB-eGFP]/intensity[GAPDH].  Under same circumstance, PYPL1 can drive expression rate <a style="font-weight:900;color:red">0.8 times</a> that of natural promoters (pTEF, pGAP, pADH)</ficaption></figure></html>
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We then checked the quantitative gene expression levels using quantitative RT-PCR, and the results indicated that PYPL1 drive<html><a style="font-weight:900;color:red"> a much lower transcript accumulation </a></html>than natural promoters. The result gives a strong validation that it is our generated promoters that play a fundamental role in driving a extremely low promoter sequences.
 +
<html>
 +
<figure><center>
 +
<img alt=""
 +
src="https://static.igem.wiki/teams/4815/wiki/result/17.png"
 +
width="400"
 +
title=""></figure></html>
 +
 
 +
Also, the flow cytometry result suits the result above, expression rate of LTB-eGFP driven by PYPL1 remain the sharp waveform, which means the ability to<html><a style="font-weight:900;color:red"> drive constant expression even better than natural constitutive promoters </a></html>of PYPL1<html><a style="font-weight:900;color:red"> remains </a></html>when the downstream codon changes. 
 +
<html>
 +
<figure><center>
 +
<img alt=""
 +
src="https://static.igem.wiki/teams/4815/wiki/2240.png"
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width="400"
 +
title=""></figure></html>
  
<!-- -->
 
<span class='h3bb'>Sequence and Features</span>
 
<partinfo>BBa_K4815007 SequenceAndFeatures</partinfo>
 
  
  

Revision as of 08:55, 12 October 2023

PYPL1 -> Pymaker generated yeast promoter Low 1

Introduction

Description

The part we provide is the functional promoter sequence (about 223 bp) generated by our AI model Pymaker. PYPL1 means it is predicted to be anti-mutant and to drive extremely low expression rate by our AI model.

Origin

PYPL1 targets at s. cerevisiae (saccharomyces cerevisiae), the most studied eukaryotic expression system in synthetic biology.

Loci

PYPL1 consists two parts: the core promoter and the scaffold. The core promoter is an 80 bp sequence and is seated at approximately -170 to -90 upstream to the codon (which is the presumed transcription start site-TSS and is where most transcription factors binding sites lie). The scaffold is a preserved sequence in all PYPLs. It is a structure that we learned and utilized from a previous research that can link the core promoter with the codon and provide restriction sites of BamH I and Xho I which make it possible for the plasmids with the scaffold to be inserted by various core promoter sequences at ease. .

Usage and Biology

To begin with, PYPL1 can drive extremely low expression f downstream products as is predicted by our excellent AI model Pymaker. Furthermore, our experiments have abundantly validated the ability of PYPL1. Under same circumstance, PYPL1 can drive expression lower than that of natural promoters (pTEF, pGAP, pADH), which can be related with a series of dynamic events, such as the regulation of some metabolic pathway. Meanwhile, our experiments proof that this ability of driving low expression is preserved among different downstream products, which make PYPL1 an excellent and practical substitute for natural promoters. Besides, PYPL1 is anti-mutant as our excellent AI model predicts. Our AI model Pymaker outperforms competitors on all sample size datasets, and its ability to predict the specific expression rate of the core promoters is proved by experiments. On this basis, we are very confident that by introducing 1-3 random mutations per generation and imitating 100 generations, those promoters, whose expression rates predicted by Pymaker remain low, are highly anti-mutant. .

What’s more, PYPL1 shows high variance expression rate among yeast population, which is similar to the natural promoters instead of the PYPHs. The low and unstable expression character of PYPL1 is as expected.


Sequence and Features


Assembly Compatibility:
  • 10
    COMPATIBLE WITH RFC[10]
  • 12
    INCOMPATIBLE WITH RFC[12]
    Illegal NheI site found at 1
  • 21
    INCOMPATIBLE WITH RFC[21]
    Illegal BamHI site found at 198
  • 23
    COMPATIBLE WITH RFC[23]
  • 25
    COMPATIBLE WITH RFC[25]
  • 1000
    INCOMPATIBLE WITH RFC[1000]
    Illegal BsaI site found at 78

Experiments

Extraction

We design to extract promoter sequences from synthesized whole dual-fluorescence reporter plasmids, and then insert them into the LTB-eGFP expression plasmids.We extract PYPL1-3 from our dual-fluorescence reporter plasmids, using colony PCR with designed primers (primers sequences are shown in the figure below, and spacer L1-3 stands for PYPL1-3)

The bands are in highly consistent with the length of PYPL1(223 bp),which means that our construction of the PYPL1 is a complete success.

Validation

We synthesized the dual-fluorescence reporter plasmids where PYPL1 is already placed in, comparing to the natural promoter GAP. We transform the plasmids into targeted yeasts and use fluorescence-activated cell sorting (FACS) strategy and record the fluorescence density through a flow cytometer. The figure above shows the result.

The figure shows that PYPH1 drives expression rate over 0.8 times that of GAP. What's more, this density figure explicitly reviewed that PYHP1 drive a constant high expression rate regardless of the yeasts' population, which is not the case considering the natural promoters (the waveform of PYPH1 is much sharper than that of GAP).

Proof In different scenario

PYPH 1 has shown its ability in tackling real challenges. Currently, significant breakthroughs have been achieved in the application of brewing yeast in the field of biotechnology. One of them is the production of the heat-labile toxin B subunit (LTB) of Escherichia coli using brewing yeast, an important oral vaccine adjuvant widely used to prevent various diseases such as cholera, traveler’s diarrhea, and E. coli infection. We use the same plasmid framework of BBa_K4815011 and change the YeGFP with our part BBa_K4815021, aimed at using PYPH1 to drive the expression of fusion protein LTB-eGFP. We test the expression rate from three different dimensions: flow cytometry, protein density through western blot, transcription accumulation through quantitative RT PCR, and the results are as follows.

Image 1 Image 2
The figures shows the western blot result of LTB-eGFP, where H1 stands for PYPH1. Using GAPDH as an internal control ,we quantify the expression intensity of LTB-eGFP as Intensity[LTB-eGFP]/intensity[GAPDH]. Under same circumstance, PYPL1 can drive expression rate 0.8 times that of natural promoters (pTEF, pGAP, pADH)
We then checked the quantitative gene expression levels using quantitative RT-PCR, and the results indicated that PYPL1 drive a much lower transcript accumulation than natural promoters. The result gives a strong validation that it is our generated promoters that play a fundamental role in driving a extremely low promoter sequences.

Also, the flow cytometry result suits the result above, expression rate of LTB-eGFP driven by PYPL1 remain the sharp waveform, which means the ability to drive constant expression even better than natural constitutive promoters of PYPL1 remains when the downstream codon changes.