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| <html> | | <html> |
| <head> | | <head> |
− | | + | |
| <!--separatrix--> | | <!--separatrix--> |
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− | <script src="https://2016.igem.org/Template:NKU_China/js/particles?action=raw&ctype=text/javascript"></script>
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| <style> | | <style> |
− | #particles-js { | + | .main#attributions { |
− | position: fixed; | + | padding: 0 10vw; |
− | top: 0;
| + | padding-bottom:10vh; |
− | left: 0;
| + | |
− | width: 100vw;
| + | |
− | height: 100vh;
| + | |
− | }
| + | |
− | | + | |
− | main {
| + | |
− | width: 100vw;
| + | |
− | padding: 5vh 10vw; | + | |
− | background-color: black;
| + | |
− | color: white;
| + | |
− | font-family: Raleway;
| + | |
| font-size: 1.15rem; | | font-size: 1.15rem; |
| + | line-height:1.25; |
| } | | } |
| | | |
− | main div.h1 { | + | .main div.h2 { |
− | margin: 2rem 0; | + | color:cyan; |
− | font-size: 3rem;
| + | |
− | font-family: levirebrushed;
| + | |
| text-align: left; | | text-align: left; |
| + | font-size:2rem; |
| + | padding-bottom:1rem; |
| + | font-family: Pacifico; |
| } | | } |
| | | |
− | div.h2 { | + | article { |
− | text-align: left; | + | margin-bottom: 2.5rem; |
| } | | } |
| | | |
− | article { | + | #attributions article .p { |
− | margin-bottom: 2.5rem; | + | margin:0.5rem; |
| + | } |
| + | |
| + | #nutshell { |
| + | padding:1rem 0; |
| } | | } |
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| #nutshell .article div:first-child { | | #nutshell .article div:first-child { |
− | font-weight: 600; | + | font-weight: bold; |
| color: cyan; | | color: cyan; |
| text-indent:0; | | text-indent:0; |
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| #nutshell img { | | #nutshell img { |
| margin-right:1rem; | | margin-right:1rem; |
| + | vertical-align:middle; |
| height: 25rem; | | height: 25rem; |
| + | position:relative; |
| + | z-index:3; |
| + | } |
| + | |
| + | #supervision .p, #acknowledgements .p{ |
| + | margin:1rem; |
| } | | } |
| </style> | | </style> |
| <script> | | <script> |
− |
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| $(function () { | | $(function () { |
− | | + | //particles(); |
− | | + | |
| }) | | }) |
| </script> | | </script> |
| </head> | | </head> |
− | <body> | + | <body id="dongzhuoer"> |
| <div id="particles-js"></div> | | <div id="particles-js"></div> |
| <script> | | <script> |
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| ); | | ); |
| </script> | | </script> |
− | <main> | + | <div class="main" id="attributions"> |
| <div id="nutshell"> | | <div id="nutshell"> |
| <div class="h1"> | | <div class="h1"> |
| Attributions in AI-2 Controller Construction | | Attributions in AI-2 Controller Construction |
| </div> | | </div> |
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">
| + | <img src="https://static.igem.org/mediawiki/2016/0/0a/T--NKU_China--mascot.png"> |
| <div> | | <div> |
| <div class="article"> | | <div class="article"> |
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Line 214: |
| <div class="article"> | | <div class="article"> |
| <div class="p"> | | <div class="p"> |
− | Xiao Liu, Xinhao Song, Liangti Dai: | + | Xinhao Song, Xiao Liu, Liangti Dai, Yuxiu Xiong: |
| </div> | | </div> |
| <div class="p"> | | <div class="p"> |
Line 235: |
Line 231: |
| </div> | | </div> |
| <div class="p"> | | <div class="p"> |
− | Mathematical Models; Wiki Construction; | + | Mathematical Modeling; Wiki Construction; |
| </div> | | </div> |
| </div> | | </div> |
Line 248: |
Line 244: |
| </div> | | </div> |
| </div> | | </div> |
− | <div class="h1">Attributions in details</div> | + | <div id="details"> |
− | <article>
| + | <div class="h1">Attributions in detail</div> |
− | <div class="h2">Project: the idea</div>
| + | <article> |
− | <div class="p">We came to The St2OOL project after many brainstorming meetings including all the team. It would be impossible to define authors here: we all contributed to the design of the project.</div>
| + | <div class="h2">Project: the idea</div> |
− | </article>
| + | <div class="p">We came to the "AI-2 Controller" project after many brainstorming meetings including all the team members. It would be reasonable to attribute the idea of the project to all the team members because we all contributed to the design of the project..</div> |
− | <article>
| + | </article> |
− | <div class="h2">AI-2 Controller Construction:</div> | + | <article> |
| + | <div class="h2">AI-2 Controller Construction:</div> |
| + | <div class="p"> |
| + | All the experiments including AI-2 controller gene circuits construction, AI-2 response device construction and AI-2 controller biosafety construction were designed and conducted by Fankang Meng, Xinyu Ma, Yujie Zhao and Jingzhe Dong. |
| + | </div> |
| + | <div class="p"> |
| + | This part of construction includes the construction of pTrcHisB, pLuxS, pLuxS-Mtn, pLsrACDB, pLsrACDBFG, pLsrACDBK, pLsrACDBFGK, AI-2 Response Device A and B using homologous recombination method. What<U+00A1><U+00AF>s more, the four people listed before also took advantage of <i>mf</i>-lon protease to create safer engineered bacteria. |
| + | </div> |
| + | </article> |
| + | <article> |
| + | <div class="h2">AI-2 Controller Characterization:</div> |
| + | <div class="p"> |
| + | All the experiments in AI-2 controller characterization were designed and conducted by Fankang Meng, Xiao Liu and Xinhao Song. |
| + | This part of construction includes using qPCR, Western blot, microplate reader and HPLC to characterize pTrcHisB, pLuxS, pLuxS-Mtn, pLsrACDB, pLsrACDBFG, pLsrACDBK, pLsrACDBFGK. |
| + | </div> |
| + | <div class="p"> |
| + | This part of construction includes using qPCR, Western blot, microplate reader and HPLC to characterize pTrcHisB, pLuxS, pLuxS-Mtn, pLsrACDB, pLsrACDBFG, pLsrACDBK, pLsrACDBFGK. |
| + | </div> |
| + | </article> |
| + | <article> |
| + | <div class="h2">Moedling:</div> |
| + | <div class="p"> |
| + | This part of work was designed and conducted by Zhuoer Dong, Fankang Meng. |
| + | </div> |
| + | </article> |
| + | <article> |
| + | <div class="h2">Parts Construction:</div> |
| + | <div class="p"> |
| + | Xinhao Song, Xiao Liu, Liangti Dai and Yuxiu Xiong performed all the work of parts standardization. |
| + | </div> |
| + | </article> |
| + | <article> |
| + | <div class="h2">Interlab Study:</div> |
| + | <div class="p"> |
| + | Xinhao Song, Xiao Liu, Liangti Dai and Yuxiu Xiong performed all the work of interlab study. |
| + | </div> |
| + | </article> |
| + | <article> |
| + | <div class="h2">Human Practices.</div> |
| + | <div class="p"> |
| + | Xinglin Zhao, Liangti Dai, Zhuoer Dong and Ruilin Tian organized the "Synfuture" Exposition. Also they organized the iGEM Meeting with iGEM team TJUSLS_China. What' s more, they also interviewed many famous scholars to gather suggestions which greatly improved our project. |
| + | </div> |
| + | </article> |
| + | <article> |
| + | <div class="h2">Wiki Construction</div> |
| + | <div class="p"> |
| + | Zhuoer Dong conducted most of the work for wiki construction, including page design and implementation. He edited web pages, uploaded resources (images, fonts etc.) onto iGEM server and, moreover, fixed numerous bugs. Special acknowledgement must be attributed to dedicated chief editor—Xinhao Song. He proofread all the material several times. Other team members including Fankang Meng, Xinyu Ma, Xiao Liu, Liangti Dai, and Xinglin Zhao kindly provided contents for our wiki. |
| + | </div> |
| + | </article> |
| + | </div> |
| + | <div id="supervision"> |
| + | <div class="h1">Supervision</div> |
| <div class="p"> | | <div class="p"> |
− | All the experiments including AI-2 controller gene circuits construction, AI-2 response device construction and AI-2 controller biosafety construction was designed and conducted by Fankang Meng, Xinyu Ma, Yujie Zhao, Jingzhe Dong. | + | <b>THE INSTRUCTORS</b> were closely involved to keep the instructions in time and the team on track to reach the goals. |
| </div> | | </div> |
| <div class="p"> | | <div class="p"> |
− | This part of construction includes using homologous recombination technology to construct pTrcHisB, pLuxS, pLuxS-Mtn, pLsrACDB, pLsrACDBFG, pLsrACDBK, pLsrACDBFGK, AI-2 Response Device A and B. What’s more, these four people also take advantage of mf-lon protease to create safer engineered bacteria. | + | <b>Yufen Quan</b> kept a relaxed atmosphere in the lab and her instructions were so clear that we could easily obtain the expected results without the need for further explanations. |
| </div> | | </div> |
− | </article>
| |
− | <article>
| |
− | <div class="h2">AI-2 Controller Characterization:</div>
| |
| <div class="p"> | | <div class="p"> |
− | All the experiments in AI-2 controller characterization was designed and conducted by Fankang Meng, Xiao Liu and Xinhao Song. | + | <b>Yulei Dang</b> provided tremendous organizational support for our team throughout the whole process. |
− | This part of construction includes using qPCR, Western blot, microplate reader and HPLC to characterize pTrcHisB, pLuxS, pLuxS-Mtn, pLsrACDB, pLsrACDBFG, pLsrACDBK, pLsrACDBFGK.
| + | |
| </div> | | </div> |
− | </article>
| |
− | <article>
| |
− | <div class="h2">Model:</div>
| |
| <div class="p"> | | <div class="p"> |
− | This part of work was designed and conducted by Zhuoer Dong, Meng Fankang. | + | <b>Jiwei Mao & Xiangxiang Wang</b> gave us helpful advice on AI-2 Controller Protein level experiments. |
| </div> | | </div> |
− | </article> | + | </div> |
− | <article>
| + | <div id="acknowledgements"> |
− | <div class="h2">Parts Construction:</div>
| + | <div class="h1">Acknowledgements</div> |
− | <div class="p">
| + | |
− | Xinhao Song, Liu Xiao, Liangti Dai and Yuxiu Xiong performed all the work for parts standardization.
| + | |
− | </div>
| + | |
− | </article> | + | |
− | <article>
| + | |
− | <div class="h2">Interlab Study:</div>
| + | |
− | <div class="p">
| + | |
− | Liu Xiao, Xinhao Song, Liangti Dai and Yuxiu Xiong performed all the work for interlab study.
| + | |
− | </div>
| + | |
− | </article>
| + | |
− | <article>
| + | |
− | <div class="h2">Human Practices.</div>
| + | |
− | <div class="p">
| + | |
− | Xinglin Zhao, Liangti Dai, Zhuoer Dong and Ruilin Tian organized the “Synfuture” Exposition. Also they organized the iGEM Meeting with iGEM team TJUSLS_China. What’s more, they also interviewed many famous scholar to get suggestions which greatly improved our project.
| + | |
− | </div>
| + | |
− | </article>
| + | |
− | <article>
| + | |
− | <div class="h2">Wiki Construction</div> | + | |
| <div class="p"> | | <div class="p"> |
− | This part of work was designed and conducted by Zhuoer Dong, Xianglin zhao. | + | We would like to thank the 'The Ministry Key Laboratory of Molecular Microbiology and Technology' and Boling College for helping us establish the new iGEM laboratory. We would like to thank Prof. Weihui Wu and Prof. Honggang Wang for letting us use the microplate reader and fluorescence microscope when we characterized the AI-2 Responser. We would like to thank Prof. Lingyi Chen and Prof. Zhihui Cheng for sharing their experience on circuits construction and for giving us helpful advice on how to improve our experiments to obtain better data. |
| </div> | | </div> |
− | </article>
| |
− | <div class="h1">Supervision</div>
| |
− | <article>
| |
− | <div class="h2">Wetlab work</div>
| |
| <div class="p"> | | <div class="p"> |
− | Wetlab work including AI-2 constroller gene circuits construction and AI-2 Response Device was mainly supervised by Yufen Quan and Yulei Dang. AI-2 Controller Characterization was supervised by Yufen Quan, Xiangxiang Wang. | + | We would like to thank all our colleagues at the College of Life Sciences for their support during our project. Particularly, we would like to thank Prof. Cunjiang Song for kindly allowing us to present our project to freshman students of College of Life Science in a course named "Introduction to Biotechnology" instructed by him. |
| </div> | | </div> |
− | </article>
| |
− | <article>
| |
− | <div class="h2">Drylab Work</div>
| |
| <div class="p"> | | <div class="p"> |
− | Drylab work including Project Design and math models was mainly supervised by Cunjiang Song. | + | Finally, we want to thank teams listed below for helping us improve our project on data process and analysis, modelling, human practice, etc. |
| </div> | | </div> |
− | </article>
| |
− | <article>
| |
− | <div class="h2">Human Practices.</div>
| |
| <div class="p"> | | <div class="p"> |
− | Supervised by Violeta Beltrn (violeta.beltran@biopolis.es) with the collaboration of Manuel Porcar. Lucas J. Morales supervised modelling of the patentability equation. | + | <ul style="list-style:disc"> |
| + | <li>iGEM Team NAU_China;</li> |
| + | <li>iGEM Team TJUSLS_China;</li> |
| + | <li>iGEM Team Tianjin;</li> |
| + | </ul> |
| </div> | | </div> |
− | </article>
| |
− | <div class="h1">Acknowledgements</div>
| |
− | <div class="p">
| |
− | Special acknowledgement to:
| |
− | <ul style="list-style:disc">
| |
− | <li>iGEM Foundation;</li>
| |
− | <li>College of Life Science, Nankai University;</li>
| |
− | <li>Laboratory of Prof. Cunjiang Song;</li>
| |
− | <li>Laboratory of Prof. Lingyi Chen;</li>
| |
− | <li>Laboratory of Prof. Shufang Wang;</li>
| |
− | <li>Laboratory of Prof. Mingqiang Qiao;</li>
| |
− | <li>iGEM Team Tianjin;</li>
| |
− | <li>iGEM Team OUC_China;</li>
| |
− | <li>iGEM Team SZU_China;</li>
| |
− | <li>iGEM Team Aachen;</li>
| |
− | </ul>
| |
| </div> | | </div> |
− | </main> | + | </div> |
| </body> | | </body> |
| </html> | | </html> |
| + | {{NKU_China/footer}} |
Attributions in AI-2 Controller Construction
Fankang Meng, Xinyu Ma, Yujie Zhao, Jingzhe Dong:
AI-2 Controller Gene Circuits Construction;
AI-2 Response Device Construction;
AI-2 Controller Biosafety Construction;
Xinhao Song, Xiao Liu, Liangti Dai, Yuxiu Xiong:
AI-2 Controller Characterization;
Parts Construction;
Interlab Study;
Zhuoer Dong:
Mathematical Modeling; Wiki Construction;
Xianglin Zhao:
Human Practice; Art Design;
Attributions in detail
Project: the idea
We came to the "AI-2 Controller" project after many brainstorming meetings including all the team members. It would be reasonable to attribute the idea of the project to all the team members because we all contributed to the design of the project..
AI-2 Controller Construction:
All the experiments including AI-2 controller gene circuits construction, AI-2 response device construction and AI-2 controller biosafety construction were designed and conducted by Fankang Meng, Xinyu Ma, Yujie Zhao and Jingzhe Dong.
This part of construction includes the construction of pTrcHisB, pLuxS, pLuxS-Mtn, pLsrACDB, pLsrACDBFG, pLsrACDBK, pLsrACDBFGK, AI-2 Response Device A and B using homologous recombination method. Whats more, the four people listed before also took advantage of mf-lon protease to create safer engineered bacteria.
AI-2 Controller Characterization:
All the experiments in AI-2 controller characterization were designed and conducted by Fankang Meng, Xiao Liu and Xinhao Song.
This part of construction includes using qPCR, Western blot, microplate reader and HPLC to characterize pTrcHisB, pLuxS, pLuxS-Mtn, pLsrACDB, pLsrACDBFG, pLsrACDBK, pLsrACDBFGK.
This part of construction includes using qPCR, Western blot, microplate reader and HPLC to characterize pTrcHisB, pLuxS, pLuxS-Mtn, pLsrACDB, pLsrACDBFG, pLsrACDBK, pLsrACDBFGK.
Moedling:
This part of work was designed and conducted by Zhuoer Dong, Fankang Meng.
Parts Construction:
Xinhao Song, Xiao Liu, Liangti Dai and Yuxiu Xiong performed all the work of parts standardization.
Interlab Study:
Xinhao Song, Xiao Liu, Liangti Dai and Yuxiu Xiong performed all the work of interlab study.
Human Practices.
Xinglin Zhao, Liangti Dai, Zhuoer Dong and Ruilin Tian organized the "Synfuture" Exposition. Also they organized the iGEM Meeting with iGEM team TJUSLS_China. What' s more, they also interviewed many famous scholars to gather suggestions which greatly improved our project.
Wiki Construction
Zhuoer Dong conducted most of the work for wiki construction, including page design and implementation. He edited web pages, uploaded resources (images, fonts etc.) onto iGEM server and, moreover, fixed numerous bugs. Special acknowledgement must be attributed to dedicated chief editor—Xinhao Song. He proofread all the material several times. Other team members including Fankang Meng, Xinyu Ma, Xiao Liu, Liangti Dai, and Xinglin Zhao kindly provided contents for our wiki.
Supervision
THE INSTRUCTORS were closely involved to keep the instructions in time and the team on track to reach the goals.
Yufen Quan kept a relaxed atmosphere in the lab and her instructions were so clear that we could easily obtain the expected results without the need for further explanations.
Yulei Dang provided tremendous organizational support for our team throughout the whole process.
Jiwei Mao & Xiangxiang Wang gave us helpful advice on AI-2 Controller Protein level experiments.
Acknowledgements
We would like to thank the 'The Ministry Key Laboratory of Molecular Microbiology and Technology' and Boling College for helping us establish the new iGEM laboratory. We would like to thank Prof. Weihui Wu and Prof. Honggang Wang for letting us use the microplate reader and fluorescence microscope when we characterized the AI-2 Responser. We would like to thank Prof. Lingyi Chen and Prof. Zhihui Cheng for sharing their experience on circuits construction and for giving us helpful advice on how to improve our experiments to obtain better data.
We would like to thank all our colleagues at the College of Life Sciences for their support during our project. Particularly, we would like to thank Prof. Cunjiang Song for kindly allowing us to present our project to freshman students of College of Life Science in a course named "Introduction to Biotechnology" instructed by him.
Finally, we want to thank teams listed below for helping us improve our project on data process and analysis, modelling, human practice, etc.
- iGEM Team NAU_China;
- iGEM Team TJUSLS_China;
- iGEM Team Tianjin;