Difference between revisions of "Team:Ruia-Mumbai/InterLab"

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                <h1 style="text-align: center;"><b>Interlab</b></h1>
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                <br>
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                <h2>1. OBJECTIVE</h2> <br>
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                <p style="text-align: justify;">Accurate, precise and reproducible measurement is a key component of all disciplines and synthetic biology is not an exception for that. However, the ability to reproduce measurements in different labs is a difficult task to achieve.<br>The goal of the Fifth International Interlab study was standardizing GFP expression per cell across all the world laboratories. GFP is widely used as a measurement tool in synthetic biology. Hence, it is of immense importance to standardize the GFP expression for all laboratories so that they can compare and build upon each other’s data. Last year’s iGEM Interlab study focused on standardizing GFP expression for a cell population calibrated against a known concentration of fluorescent molecule. This year, the study has been extrapolated to calculate GFP expression for a single cell thus eliminating error caused due to cell-to-cell variability. Moreover, this study has been carried out by laboratories across the world using a standardized protocol provided by iGEM Measurement Committee to minimize lab-to-lab variability.<br><br>For the Fifth International Interlab study 2018, the absorbance and fluorescence of the cell populations were used to calculate cell concentration by Calibration Curve method. Moreover, absolute cell number of the samples at zero hour was obtained by performing Standard plate count. The above two approaches were used to determine the exact fluorescence value per cell.<br><br>We, Team Ruia-Mumbai performed both the plate reader as well as the Flow cytometry protocol as a part of the IGEM Interlab study 2018. We had a fruitful collaboration with National Institute for Research in Reproductive Health (NIRRH), Mumbai for the Interlab study.
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             <h2>OBJECTIVE</h2>  
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                <br><h2>2. EXPERIENCE</h2> <br>
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             Reliable and repeatable measurement is a key component to all engineering disciplines. The same holds true for synthetic biology, which has also been called engineering biology.  However, the ability to repeat measurements in different labs has been difficult.
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             <div class="col-sm">
            The goal of the fifth International InterLab Measurement Study is to identify and correct the sources of systematic variability in synthetic biology measurements, so that eventually, measurements that are taken in different labs will be no more variable than measurements taken within the same lab.The previous Interlab studies showed that by measuring GFP expression in absolute fluorescence units calibrated against a known concentration of fluorescent molecule ,can greatly reduce the variability in measurements between labs. However, when taken bulk measurements of a population of cells (such as with a plate reader), there is still a large source of variability in these measurements: the number of cells in the sample.  
+
                <p style="text-align: justify;">We, Team Ruia-Mumbai tried our hands on working for an international collaborative experiment of publishable quality by participating in the IGEM Fifth International Interlab Measurement Study 2018. It is a great feeling to be part of a world-wide community working for standardizing measurements in synthetic biology. After going through the protocol for plate reader and flow cytometer for around 10-15 times, the next challenge for us was of executing the experiments.The execution of experiment required three to four days of rigorous planning and there we realized the importance of planning and patience. We got an opportunity to analyse our data using a flow cytometer in collaboration with NIRRH and it was a great experience of learning new techniques. The Excel sheets provided by IGEM measurement committee 2018 were explicit explaining all the calculations precisely. The sheets helped us immensely in our Interlab data analysis.Data is just information till we analyse it. Once analysed, it becomes a powerful tool for scientific study. <br><br>While analysing the data from the plate reader and the flow cytometer we were amazed by the readouts and trends within biological and technical replicates. We learnt team spirit and work ethics. Moreover, we experienced the sheer joy and satisfaction when our Interlab data got accepted in the very first attempt!!
            This is because the fluorescence value measured by a plate reader is an aggregate measurement of an entire population of cells, we need to divide the total fluorescence by the number of cells in order to determine the mean expression level of GFP per cell. Usually it is done by measuring the absorbance of light at 600nm, from which we compute the “optical density (OD)” of the sample as an approximation of the number of cells. OD measurements are subject to high variability between labs, however, and it is unclear how good of an approximation an OD measurement actually is. Hence this year’s Interlab study mainly focused on standardizing GFP expression for each cell. The absorbance and fluorescence of the cell populations were used to calculate cell concentration by Calibration Curve method. Moreover, absolute cell number of the samples was obtained by performing Standard plate count.
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                <br><h2>4. PLATE READER</h2> <br>
 +
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         <div class="row">
             <h2>DEVICES</h2>  
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          <div class="col-sm">
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             <h4>LUDOX CALIBRATION</h4>
 +
              <ol>
 +
              <li>Low absorbance values were observed as expected for both LUDOX (~0.07) as well as ddH2O(~0.03).</li>
 +
              </ol>
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            <h4>MICROSPHERE CALIBRATION</h3>
 +
            <ol>
 +
            <li>Microsphere beads settled in less than 10 mins (~10 secs)</li>
 +
            <li>The values obtained did not give a perfect 1:1 plot as expected for both the graphs. However the calculated R2 values were approximately equal to 1.</li>
 +
            <li>The microsphere calibration protocol gives us a standard plot of Absorbance (A600) vs Particle size, which is equivalent to the size of E.coli cells (DH5 alpha). The values obtained in the cell measurement protocol, can be extrapolated on this curve to get the corresponding cell number.</li> 
 +
            <p><br>For ex: If we get values of absorbance 600 of a cell sample as 0.5 Abs units. Following calculations can be performed to determine the cell no. of the sample.<br>
 +
             &emsp;Y=mx+c<br>
 +
            &emsp;y = 3E-09x + 0.0392<br>
 +
            &emsp;0.5 = 3E-09 * cell number + 0.0392<br>
 +
            &emsp;Cell number = 0.5 – 0.0392 / 3E-09<br>
 +
            &emsp;<span>&#8756;</span>cell number = 1.536 * 10^8 cfu/100 uL<br></p>
 +
            <li>
 +
              We obtained almost constant Abs600 values for higher dilutions which we suspect is because of:<br>• Pipetting errors<br>• Microspheres at higher dilutions might be in negligible concentration causing their Abs600 values to tend to the values of blank.
 +
            </li>
 +
            <li>
 +
              Abs600 values of the 4th replicate were observed to be low compared to the previous replicates which may be due to the settling of microsphere between the reading frames of the instrument.
 +
            </li>
 +
          </ol>
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            <img src="https://static.igem.org/mediawiki/2018/b/b3/T--Ruia-Mumbai--interlab_1.PNG" style="margin: 0 auto; height:70%; display:block">
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            <img src="https://static.igem.org/mediawiki/2018/5/5d/T--Ruia-Mumbai--interlab_2.PNG" style="margin: 0 auto; height:70%; display:block">
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         <div class="row">
             <h2> PLATE READER: </h2>
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          <div class="col-sm">
 +
             <h4>FLUORESCEIN CALIBRATION</h4>
 +
              <ul>
 +
              <li>Fluorescein calibration protocol passed all the common sense tests i.e. the fluorescence readings reduced 1/2 times with every dilution and the blank showed less fluorescence than the test.</li>
 +
              <li>The fluorescence readings gave an almost perfect 1:1 plot on both linear and log scale. The drifting of higher dilution readings from the trendline may be attributed to the pipetting error.</li>
 +
              <li>The fluorescence readings of the test devices could be extrapolated on the fluorescein calibration curve obtained by this protocol using the above equations to get an estimate cell number of the respective test devices.</li>
 +
              </ul>
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            <img src="ruia4.png" style="margin: 0 auto; height:70%; display:block">
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             <h3> INTERLAB DATA ANALYSIS </h3>
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          <div class="col-sm">
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             <h4>CELL MEASUREMENT PROTOCOL</h4>
 +
              <ol>
 +
              <li>The competent E.coli DH5α cells were transformed with 8 devices provided in the iGEM distribution kit. The transformed cultures were viewed under fluorescence microscope as 7 out of 8 devices express GFP.</li>
 +
              <li>INCOMPLETE CONTENT</li>
 +
              <li>The net fluorescence in a.u.values increased for all 7 devices excluding negative control  after 6 hours. However, the fluorescence per OD and fluorescence per particle values for 6 hours for all the devices decreased when compared to their O hour readings inspite of increase in Abs600 unlike the proportionate increase in fluorescence compared to increase in Abs600 as expected. We hypothesize that it might be happening because all the increased cell population might not be fluorescing to the same extent.</li>
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                    <img src="https://static.igem.org/mediawiki/2018/7/7c/T--Ruia-Mumbai--interlabnet5.png" style="margin: 0 auto; height:70%; display:block">
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                    <img src="https://static.igem.org/mediawiki/2018/f/f3/T--Ruia-Mumbai--interlabnet6.png" style="margin: 0 auto; height:70%; display:block">
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                    <img src="https://static.igem.org/mediawiki/2018/4/4b/T--Ruia-Mumbai--interlab_7.PNG" style="margin: 0 auto; height:70%; display:block">
 +
                  </div>
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                    <img src="https://static.igem.org/mediawiki/2018/b/b5/T--Ruia-Mumbai--interlab_8.PNG" style="margin: 0 auto; height:70%; display:block">
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                    <img src="https://static.igem.org/mediawiki/2018/5/5b/T--Ruia-Mumbai--interlab_9.PNG" style="margin: 0 auto; height:70%; display:block">
 +
                  </div>
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                    <img src="https://static.igem.org/mediawiki/2018/2/26/T--Ruia-Mumbai--interlab_10.png" style="margin: 0 auto; height:70%; display:block">
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                    <img src="https://static.igem.org/mediawiki/2018/5/50/T--Ruia-Mumbai--interlab_11.png" style="margin: 0 auto; height:70%; display:block">
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                    <img src="https://static.igem.org/mediawiki/2018/d/d1/T--Ruia-Mumbai--interlab_12.png" style="margin: 0 auto; height:70%; display:block">
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                  </div>
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                </div>
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 +
                <li>The test device 3, 5 and 6 are the devices showing maximum fluorescence. The relative order of fluorescence shown by these three devices is as follows:-<br><br></li>
 +
 
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                    <img src="table1.png" style="margin: 0 auto; height:50%; display:block">
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                </div>
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 +
                <br><li>We always faced a time lag between setting up OD600 of starting sample and taking measurements after pipetting on 96 well plate reader due to the sheer enormity of pipetting such a huge number of samples.</li><br>
 +
              </ol>
 +
          </div>
 +
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 +
 
 
         <div class="row">
 
         <div class="row">
            We at Team Ruia-Mumbai tried our hands at working for an international collaborative experiment of publishable quality by participating in the IGEM Fifth International Interlab Measurement Study. It is a great feeling to be part of a world-wide community working for standardizing measurements in synthetic biology. We realized the importance of planning, precision and accuracy while performing experiments and were amazed by the variabilities caused due to so minute changes. We learned team spirit and work ethics. Moreover, we experienced the sheer joy and satisfaction when our Interlab data got accepted in first attempt!!
+
          <div class="col-sm">
            This year’s Interlab study mainly focused on standardizing GFP expression for each cell. The absorbance and fluorescence of the cell populations were used to calculate cell concentration by Calibration Curve method. Moreover, absolute cell number of the samples was obtained by performing Standard plate count. The above two approaches were used to determine the exact fluorescence value for each cell. We performed both plate reader as well as Flow cytometry protocol as a part of the IGEM Interlab study 2018. We had a fruitful collaboration with National Institute for Research in Reproductive Health (NIRRH), Mumbai for the Interlab study as we don’t have access to 96-well plate reader and flow cytometer.
+
            <h4>CFU COUNT PROTOCOL</h4>
            Data is just information till we analyse it. Once analysed, it becomes a powerful tool for scientific study. We analyzed our Interlab data and tried to interpret it in best possible ways. The Excel sheets provided by IGEM measurement committee 2018 were noteworthily explicit explaining all the calculations precisely. The sheets helped us immensely in our Interlab data analysis.
+
              <ol>
        </div>
+
              <li>The overnight culture was diluted and the OD600 was measured. The culture was set to 0.1OD600 after doing relevant mathematical calculations using the diluted culture. Subsequently the OD600 measurements were taken after a delay of one hour due to machine availability by which time the readings obtained were approximately 0.2OD600. Hence, all the 0.2OD cultures were 1:2 diluted to get a projected OD600 of 0.1. The OD600 readings after 1:2 dilutions were not taken due to unavailability of the plate reader at the required time.</li>
        <div class="row">
+
              <li>We found it difficult to prepare 1:20 dilutions in 2ml eppendorrf tubes as the solution was filled up to the brim making it difficult to aliquot for further dilutions and effective vortexing.</li>
            &nbsp;
+
              <li>The results obtained for cfu count were as follows:-</li><br>
        </div>
+
             
        <div class="row">
+
              <div class="row">
            <h3> LUDOX CALIBRATION </h3>
+
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        </div>
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                    <img src="table2.png" style="margin: 0 auto; height:50%; display:block"><br>
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                    <p>All the replicates of both positive and negative control devices showed Too numerous to count (TNTC) colonies in lowest dilution plated and too less colonies in highest dilution plated. In the dilution having countable number of colonies, the replicates did not show much uniformity.</p><br>
            Low absorbance values were observed as expected for both LUDOX (~0.07) as well as ddH2O (~0.03).
+
                    <img src="https://static.igem.org/mediawiki/2018/9/99/T--Ruia-Mumbai--interlab13.png" style="margin: 0 auto; height:50%; display:block"><br>
        </div>
+
                    <p style="text-align: center">Legend:-<br>Series 1 – Colony 1<br>Series 2 – Colony 2<br></p><p>The cfu count/ml for 0.1OD600 cultures did not show much congruency between the two biological replicates – colony 1 and colony 2 for both positive and negative control devices.<br><br>However, we got an estimate cfu count for both the biological replicates of positive and negative control devices as follows:-<br></p>
        <div class="row">
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                    <img src="table3.png" style="margin: 0 auto; height:30%; display:block">
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            <h3> MICROSPHERE CALIBRATION </h3>
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        </div>
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        <div class="row">
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                  </div>
        <ul>
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              </div><br>
            <li> Microsphere beads settled in less than 10 mins (~10 secs) </li>
+
             
            <li> The values obtained did not give a perfect 1:1 plot as expected for both the graphs. However the calculated R2 values were approximately equal to 1.  </li>
+
 
            <li> The microsphere calibration protocol gives us a standard plot of Absorbance (A600) vs Particle size, which is equivalent to the size of E.coli cells (DH5 alpha). The values obtained in the cell measurement protocol, can be extrapolated on this curve to get the corresponding cell number.  </li>
+
              </ol>
        </ul>
+
          </div>
        <pre>
+
         </div>  
            For ex: If we get values of absorbance 600 of a cell sample as 0.5 Abs units.
+
 
            Following calculations can be performed to determine the cell no. of the sample.
+
    </div>
            Y=mx+c
+
  </body>
            y = 3E-09x + 0.0392
+
            0.5 = 3E-09 * cell number + 0.0392
+
            Cell number = 0.5 – 0.0392 / 3E-09
+
            Therefore  cell number = 1.536 * 10^8 cfu/100 uL
+
        </pre>
+
        <ul>
+
            <li> We obtained almost constant Abs600 values for higher dilutions which we suspect is because of: </li>
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                <li>Pipetting errors</li>
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                    Microspheres at higher dilutions might be in negligible concentration causing their Abs600 values to tend to the values of blank.
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                    Abs600 values of the 4th replicate were observed to be low compared to the previous replicates which may be due to the settling of microsphere between the reading frames of the instrument.
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            <h2> FLUORESCEIN CALIBRATION </h2>
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            Fluorescein calibration protocol passed all the common sense tests i.e. the fluorescence readings reduced 1/2 times with every dilution and the blank showed less fluorescence than the test.
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            The fluorescence readings gave an almost perfect 1:1 plot on both linear and log scale. The drifting of higher dilution readings from the trendline may be attributed to the pipetting error.
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            The fluorescence readings of the test devices could be extrapolated on the fluorescein calibration curve obtained by this protocol using the above equations to get an estimate cell number of the respective test devices.
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            <h2> CELL MEASUREMENT PROTOCOL </h2>
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            The competent E.coli DH5α cells were transformed with 8 devices provided in the iGEM distribution kit. The transformed cultures were viewed under fluorescence microscope as 7 out of 8 devices express GFP.
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            The 1:10 diluted overnight culture was used for setting the target Abs600 to 0.02 in 12 ml. However the 0 hour OD600 and fluorescence readings were taken after an hour delay due to unavailability of instrument at 0 hour. Till then the 0 hour samples were kept on ice. Nonetheless, the 0 hours samples showed a threefold increase in their OD600 readings.
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            The 1:10 diluted Abs600 measurement of one of the two biological replicates of devices 2F and 2P was found to be too low compared to their counterpart. Hence, the subsequent mathematical calculations expressed the need of adding more than 5 ml of 1:10 diluted culture to set the target Abs600. As a result, the Abs600 of the above two colonies was set to 0.02 units using the overnight culture.
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            The net fluorescence in a.u.values increased for all 7 devices excluding negative control  after 6 hours. However, the fluorescence per OD and fluorescence per particle values for 6 hours for all the devices decreased when compared to their O hour readings inspite of increase in Abs600 unlike the proportionate increase in fluorescence compared to increase in Abs600 as expected. We hypothesize that it might be happening because all the increased cell population might not be fluorescing to the same extent.
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Revision as of 09:33, 17 October 2018

Inter Lab

 

Interlab


1. OBJECTIVE


Accurate, precise and reproducible measurement is a key component of all disciplines and synthetic biology is not an exception for that. However, the ability to reproduce measurements in different labs is a difficult task to achieve.
The goal of the Fifth International Interlab study was standardizing GFP expression per cell across all the world laboratories. GFP is widely used as a measurement tool in synthetic biology. Hence, it is of immense importance to standardize the GFP expression for all laboratories so that they can compare and build upon each other’s data. Last year’s iGEM Interlab study focused on standardizing GFP expression for a cell population calibrated against a known concentration of fluorescent molecule. This year, the study has been extrapolated to calculate GFP expression for a single cell thus eliminating error caused due to cell-to-cell variability. Moreover, this study has been carried out by laboratories across the world using a standardized protocol provided by iGEM Measurement Committee to minimize lab-to-lab variability.

For the Fifth International Interlab study 2018, the absorbance and fluorescence of the cell populations were used to calculate cell concentration by Calibration Curve method. Moreover, absolute cell number of the samples at zero hour was obtained by performing Standard plate count. The above two approaches were used to determine the exact fluorescence value per cell.

We, Team Ruia-Mumbai performed both the plate reader as well as the Flow cytometry protocol as a part of the IGEM Interlab study 2018. We had a fruitful collaboration with National Institute for Research in Reproductive Health (NIRRH), Mumbai for the Interlab study.


2. EXPERIENCE



We, Team Ruia-Mumbai tried our hands on working for an international collaborative experiment of publishable quality by participating in the IGEM Fifth International Interlab Measurement Study 2018. It is a great feeling to be part of a world-wide community working for standardizing measurements in synthetic biology. After going through the protocol for plate reader and flow cytometer for around 10-15 times, the next challenge for us was of executing the experiments.The execution of experiment required three to four days of rigorous planning and there we realized the importance of planning and patience. We got an opportunity to analyse our data using a flow cytometer in collaboration with NIRRH and it was a great experience of learning new techniques. The Excel sheets provided by IGEM measurement committee 2018 were explicit explaining all the calculations precisely. The sheets helped us immensely in our Interlab data analysis.Data is just information till we analyse it. Once analysed, it becomes a powerful tool for scientific study.

While analysing the data from the plate reader and the flow cytometer we were amazed by the readouts and trends within biological and technical replicates. We learnt team spirit and work ethics. Moreover, we experienced the sheer joy and satisfaction when our Interlab data got accepted in the very first attempt!!


4. PLATE READER


LUDOX CALIBRATION

  1. Low absorbance values were observed as expected for both LUDOX (~0.07) as well as ddH2O(~0.03).

MICROSPHERE CALIBRATION

  1. Microsphere beads settled in less than 10 mins (~10 secs)
  2. The values obtained did not give a perfect 1:1 plot as expected for both the graphs. However the calculated R2 values were approximately equal to 1.
  3. The microsphere calibration protocol gives us a standard plot of Absorbance (A600) vs Particle size, which is equivalent to the size of E.coli cells (DH5 alpha). The values obtained in the cell measurement protocol, can be extrapolated on this curve to get the corresponding cell number.

  4. For ex: If we get values of absorbance 600 of a cell sample as 0.5 Abs units. Following calculations can be performed to determine the cell no. of the sample.
     Y=mx+c
     y = 3E-09x + 0.0392
     0.5 = 3E-09 * cell number + 0.0392
     Cell number = 0.5 – 0.0392 / 3E-09
    cell number = 1.536 * 10^8 cfu/100 uL

  5. We obtained almost constant Abs600 values for higher dilutions which we suspect is because of:
    • Pipetting errors
    • Microspheres at higher dilutions might be in negligible concentration causing their Abs600 values to tend to the values of blank.
  6. Abs600 values of the 4th replicate were observed to be low compared to the previous replicates which may be due to the settling of microsphere between the reading frames of the instrument.

FLUORESCEIN CALIBRATION

  • Fluorescein calibration protocol passed all the common sense tests i.e. the fluorescence readings reduced 1/2 times with every dilution and the blank showed less fluorescence than the test.
  • The fluorescence readings gave an almost perfect 1:1 plot on both linear and log scale. The drifting of higher dilution readings from the trendline may be attributed to the pipetting error.
  • The fluorescence readings of the test devices could be extrapolated on the fluorescein calibration curve obtained by this protocol using the above equations to get an estimate cell number of the respective test devices.

CELL MEASUREMENT PROTOCOL

  1. The competent E.coli DH5α cells were transformed with 8 devices provided in the iGEM distribution kit. The transformed cultures were viewed under fluorescence microscope as 7 out of 8 devices express GFP.
  2. INCOMPLETE CONTENT
  3. The net fluorescence in a.u.values increased for all 7 devices excluding negative control after 6 hours. However, the fluorescence per OD and fluorescence per particle values for 6 hours for all the devices decreased when compared to their O hour readings inspite of increase in Abs600 unlike the proportionate increase in fluorescence compared to increase in Abs600 as expected. We hypothesize that it might be happening because all the increased cell population might not be fluorescing to the same extent.
  4. The test device 3, 5 and 6 are the devices showing maximum fluorescence. The relative order of fluorescence shown by these three devices is as follows:-


  5. We always faced a time lag between setting up OD600 of starting sample and taking measurements after pipetting on 96 well plate reader due to the sheer enormity of pipetting such a huge number of samples.

CFU COUNT PROTOCOL

  1. The overnight culture was diluted and the OD600 was measured. The culture was set to 0.1OD600 after doing relevant mathematical calculations using the diluted culture. Subsequently the OD600 measurements were taken after a delay of one hour due to machine availability by which time the readings obtained were approximately 0.2OD600. Hence, all the 0.2OD cultures were 1:2 diluted to get a projected OD600 of 0.1. The OD600 readings after 1:2 dilutions were not taken due to unavailability of the plate reader at the required time.
  2. We found it difficult to prepare 1:20 dilutions in 2ml eppendorrf tubes as the solution was filled up to the brim making it difficult to aliquot for further dilutions and effective vortexing.
  3. The results obtained for cfu count were as follows:-


  4. All the replicates of both positive and negative control devices showed Too numerous to count (TNTC) colonies in lowest dilution plated and too less colonies in highest dilution plated. In the dilution having countable number of colonies, the replicates did not show much uniformity.



    Legend:-
    Series 1 – Colony 1
    Series 2 – Colony 2

    The cfu count/ml for 0.1OD600 cultures did not show much congruency between the two biological replicates – colony 1 and colony 2 for both positive and negative control devices.

    However, we got an estimate cfu count for both the biological replicates of positive and negative control devices as follows:-



Our co-ordinates:

L .Nappo Road, Matunga
Dadar East,Mumbai,
Maharashtra 400019,
India

catechewingcoli@gmail.com

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