Difference between revisions of "Team:WHU-China/InterLab"

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<h3>★  ALERT! </h3>
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<p>This page is used by the judges to evaluate your team for the <a href="https://2017.igem.org/Judging/Medals">medal criterion</a> or <a href="https://2017.igem.org/Judging/Awards"> award listed above</a>. </p>
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<p> Delete this box in order to be evaluated for this medal criterion and/or award. See more information at <a href="https://2017.igem.org/Judging/Pages_for_Awards"> Instructions for Pages for awards</a>.</p>
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        <h1>InterLab Results</h1>
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<h1>InterLab</h1>
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  <h3>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;GFP is one of the most used markers in synthetic biology. It gives researchers an access to continuously monitoring the expression level of a specific plasmid. However, due to variation in units, methods of data processing, protocols, or instruments, it is hard to repeat measurement in different labs. To solve this problem, we participate in interlab study by quantifying the experiment with standard protocol.</h3>
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<h3>Bronze Medal Criterion #4</h3>
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<h3>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Lack of black wells with transparent bottom, we had to use black wells with black bottom in fluorescence measurement and transparent wells with transparent bottom in Abs measurement. We strictly followed <a href="https://2017.igem.org/Team:WHU-China/Calibration">CALIBRATION PROTOCOL</a> and <a href="https://2017.igem.org/Team:WHU-China/Cell_Measuremnet">CELL MEASUREMENT PROTOCOL</a>. You can see our experimental records in <a href="https://2017.igem.org/Team:WHU-China/Notebook">NOTEBOOK</a>.</h3>
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<p><b>Standard Tracks:</b> Participate in the Interlab Measurement Study and/or improve the characterization of an existing BioBrick Part or Device and enter this information on that part's Main Page in the Registry. The part that you are characterizing must NOT be from a 2017 part number range.
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<p align="center"> <img src="https://static.igem.org/mediawiki/2017/8/8b/WHU-China-InterLab-Figure_all.png" alt=""/></p>
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For teams participating in the <a href="https://2017.igem.org/Competition/InterLab_Study">InterLab study</a>, all work must be shown on this page.
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<p align="center"> <a href="https://static.igem.org/mediawiki/2017/2/28/WHU-China-InterLab-raw_data.pdf" download="WHU-China-InterLab-raw_data">
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　　You can download our raw data by clicking here.
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<h3>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;After analyzing our data and discussing with iGEMers from Team-ZJU and Team-FUFA, we strikingly found that the value of our OD600/Abs600 is as high as 3.37972167. Many reasons might account for it, such as instruments of varies brands and hours of use, and detailed experiment process done by different people and in different lab environment. </h3>
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<h3>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;As we can see from the above two figures, values nearly form a straight line on both linear and log scale and slope of their trend lines is 1:1, which means we didn’t have consistent pipetting error. But our coefficient of determination(R2) of both lines can’t reach 1, so there’re still lots of work for us to figure out the deviation. We hope that our data can do some help to other Teams or researchers in solving the problem of repeating measurement in different labs.</h3>
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Latest revision as of 02:19, 2 November 2017

InterLab Results

         GFP is one of the most used markers in synthetic biology. It gives researchers an access to continuously monitoring the expression level of a specific plasmid. However, due to variation in units, methods of data processing, protocols, or instruments, it is hard to repeat measurement in different labs. To solve this problem, we participate in interlab study by quantifying the experiment with standard protocol.

         Lack of black wells with transparent bottom, we had to use black wells with black bottom in fluorescence measurement and transparent wells with transparent bottom in Abs measurement. We strictly followed CALIBRATION PROTOCOL and CELL MEASUREMENT PROTOCOL. You can see our experimental records in NOTEBOOK.

    　　You can download our raw data by clicking here.

         After analyzing our data and discussing with iGEMers from Team-ZJU and Team-FUFA, we strikingly found that the value of our OD600/Abs600 is as high as 3.37972167. Many reasons might account for it, such as instruments of varies brands and hours of use, and detailed experiment process done by different people and in different lab environment.

         As we can see from the above two figures, values nearly form a straight line on both linear and log scale and slope of their trend lines is 1:1, which means we didn’t have consistent pipetting error. But our coefficient of determination(R2) of both lines can’t reach 1, so there’re still lots of work for us to figure out the deviation. We hope that our data can do some help to other Teams or researchers in solving the problem of repeating measurement in different labs.