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<p>我们的模型帮助描述了多因子可视化检测系统的细胞内反应。我们也有它来分析和评估我们的合成生物学系统。模型在Simbiology,MATLAB的工具箱下完成。</p> | <p>我们的模型帮助描述了多因子可视化检测系统的细胞内反应。我们也有它来分析和评估我们的合成生物学系统。模型在Simbiology,MATLAB的工具箱下完成。</p> | ||
<p>从图表中可以看出,我们找到了几个典型的变量变化的模式。<a class="lin" target="_blank" href="https://2017.igem.org/Team:SJTU-BioX-Shanghai/Results">实验结果</a>与我们的模型吻合的很好。 </p> | <p>从图表中可以看出,我们找到了几个典型的变量变化的模式。<a class="lin" target="_blank" href="https://2017.igem.org/Team:SJTU-BioX-Shanghai/Results">实验结果</a>与我们的模型吻合的很好。 </p> | ||
− | <div class="my-title h5-my-responsive" id="section2"> | + | <div class="my-title h5-my-responsive" id="section2">通路图解</div> |
<div class="figure-intro"> | <div class="figure-intro"> | ||
<img src="https://static.igem.org/mediawiki/2017/6/6f/Pathw1.png" class="img-fluid"> | <img src="https://static.igem.org/mediawiki/2017/6/6f/Pathw1.png" class="img-fluid"> | ||
<div class="figure-text"><strong>Figure1: Signal Pathway construct</strong>Inducers enters the cell, activates receptor and binding with repressor protein, leading to antisense producing. Then antisense binds with STAR. Finally sfGFP expression starts.</div> | <div class="figure-text"><strong>Figure1: Signal Pathway construct</strong>Inducers enters the cell, activates receptor and binding with repressor protein, leading to antisense producing. Then antisense binds with STAR. Finally sfGFP expression starts.</div> | ||
− | <div class="my-title h5-my-responsive" id="section3"> | + | <div class="my-title h5-my-responsive" id="section3">反应</div> |
<object data="https://static.igem.org/mediawiki/2017/c/c1/T--SJTU-BioX-Shanghai--wcw5.pdf" type="application/pdf" width="100%" height="550px"> | <object data="https://static.igem.org/mediawiki/2017/c/c1/T--SJTU-BioX-Shanghai--wcw5.pdf" type="application/pdf" width="100%" height="550px"> | ||
<p>You probably don't have a PDF plugin for this browser. | <p>You probably don't have a PDF plugin for this browser. | ||
− | + | 下载<a href="https://static.igem.org/mediawiki/2017/c/c1/T--SJTU-BioX-Shanghai--wcw5.pdf">PDF文件</a> 查看。</p> | |
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− | <div class="my-title h5-my-responsive" id="section4"> | + | <div class="my-title h5-my-responsive" id="section4">模拟结果</div> |
<div class="figure-intro"> | <div class="figure-intro"> | ||
<img src="https://static.igem.org/mediawiki/2017/2/2b/T--SJTU-BioX-Shanghai--wcw4.png" class="img-fluid"> | <img src="https://static.igem.org/mediawiki/2017/2/2b/T--SJTU-BioX-Shanghai--wcw4.png" class="img-fluid"> | ||
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− | <p> | + | <p>从这些图中,我们发现几个典型的变量变化的模式。<a target="_blank" href="https://2017.igem.org/Team:SJTU-BioX-Shanghai/Results">实验结果</a>与模型吻合的很好。</p> |
− | <div class="my-title h5-my-responsive" id="section5"> | + | <div class="my-title h5-my-responsive" id="section5">参数</div> |
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− | <div class="my-title h5-my-responsive" id="section6"> | + | <div class="my-title h5-my-responsive" id="section6">变量</div> |
<div class="figure-intro"> | <div class="figure-intro"> | ||
<table class="table table-res table-res2 table-hover" align="center"> | <table class="table table-res table-res2 table-hover" align="center"> |
Latest revision as of 00:18, 16 December 2017
信号通路
信号通路模型
我们的模型帮助描述了多因子可视化检测系统的细胞内反应。我们也有它来分析和评估我们的合成生物学系统。模型在Simbiology,MATLAB的工具箱下完成。
从图表中可以看出,我们找到了几个典型的变量变化的模式。实验结果与我们的模型吻合的很好。
通路图解
Figure1: Signal Pathway constructInducers enters the cell, activates receptor and binding with repressor protein, leading to antisense producing. Then antisense binds with STAR. Finally sfGFP expression starts.
反应
模拟结果
Figure2: sfGFP degradation over time.
Figure3: antiSTAR1 variation over time.
Figure4: STAR & STAR_complex variation over time.
Figure5: sfGFP& STAR_complex variation over time.
从这些图中,我们发现几个典型的变量变化的模式。实验结果与模型吻合的很好。
参数
Parameters | Reaction | Value | Reaction Type |
maxVproduceAsRprotein | AsrR + RNA_polymerase -> AsrR + RNA_polymerase + AsrR_protein | 0.6 | MassAction |
RNApolyConstant | All Reaction with Polymerase | 1 | |
kr_AsR_complex | As + AsrR_protein <-> AsR_complex | 0.8 | MassAction |
kf_AsR_complex | As + AsrR_protein <-> AsR_complex | 0.05 | MassAction |
maxVproduceanti | RNA_polymerase + Promoter_STAR1 -> RNA_polymerase + Promoter_STAR1 + antiSTAR1 | 60 | Competitive-Inhibition |
AsrRproteinRepressConstant | RNA_polymerase + Promoter_STAR1 -> RNA_polymerase + Promoter_STAR1 + antiSTAR1 | 10 | Competitive-Inhibition |
kf_STAR1complex | antiSTAR1 + STAR1 <-> STAR1_complex | 50 | MassAction |
kr_STAR1complex | antiSTAR1 + STAR1 <-> STAR1_complex | 0.8 | MassAction |
maxVproducesfGFP | Promoter_target + RNA_polymerase -> Promoter_target + RNA_polymerase + sfGFP | 100 | Competitive-Inhibition |
antiRepressConstant | Promoter_target + RNA_polymerase -> Promoter_target + RNA_polymerase + sfGFP | 10 | Competitive-Inhibition |
kd_AsrR | AsrR -> null | 0.007 | MassAction |
kd_RNA_polymerase | RNA_polymerase -> null | 0.007 | MassAction |
kd_AsrR_protein | AsrR_protein -> null | 0.007 | MassAction |
kd_antiSTAR | antiSTAR1 -> null | 0.007 | MassAction |
kd_STAR | STAR1 -> null | 0.007 | MassAction |
kd_STARcomplex | STAR1_complex -> null | 0.007 | MassAction |
kd_sfGFP | sfGFP -> null | 0.007 | MassAction |
Table1
变量
Species | Description | Initial Value |
AsrR | As repressor sequence | 100 |
RNA_polymerase | RNA polymerase | 2000 |
antiSTAR | antiSTAR sequence which binds with STAR to promote sfGFP | 0 |
STAR | Small Transcription Activated RNA | 200 |
STAR_complex | Complex of STAR&antiSTAR | 100 |
sfGFP | Fluorescence Protein which displays green color | 541.5 |
AsrR_protein | As repressor protein | 200 |
As | As as an inducer | 1000 |
AsR_complex | Complex of AsrR_protein&Promoter_STAR | 0 |
Promoter_STAR | Promoter which generates antiSTAR sequence | 60 |
Promoter_target | Promoter which is repressed by STAR | 80 |
Table2