Difference between revisions of "Team:Madrid-OLM/AptDiscovery"

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         <title>Aptamer Characterization</title>
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         <title>Aptamer Discovery</title>
 
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                         <a href="#diglab" class="inner-link" data-title="DIG-Labelling"></a>
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                         <a href="#selex" class="inner-link" data-title="Selex"></a>
 
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                         <a href="#elona" class="inner-link" data-title="ELONA"></a>
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                         <a href="#qPCR" class="inner-link" data-title="qPCR"></a>
 
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                             <h1 id="Teamtittle">Biochemical characterization of the aptamers</h1>
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                             <h1 id="Teamtittle">Aptamer Discovery</h1>
                             <p class="lead">One of the most important steps when you are working with aptamers, especially if you are looking for aptamers for a downstream application, is to demonstrate that aptamers have high affinity, specificity and selectivity for its substrate. It is logical to think that any aptamer with flexible conformational structure would also demonstrate interaction with many off-targets having similar motifs. However, aptamers with a defined ground state would bind only to specific targets with high affinity.</p>
+
                              
                            <p class="lead">Affinity is a term that makes reference to the strength of the interaction that exists between a molecule (aptamer in this case) and its target. The key variable to measure if you want to assess the binding capacity of an aptamer is the dissociation constant (Kd). </p>
+
                            <p class="lead">Aptamers that show low dissociation constants have strong interactions with their targets. In this case, we have developed aptamers from scratch. Because of this, it was very important to know if we ended up with a specific aptamer against his target and which was their affinity. </p>
+
                            <p class="lead">To solve this problem, we decided to attempt to do an ELONA (Enzyme-Linked Oligonucleotide Assay). ELONA is a biochemical method based on enzyme-linked immunosorbent assay (ELISA). You have a plate with your target protein linked in the surface and you test different concentrations of your aptamer instead of doing so with a first antibody (like in an ELISA assay).</p>
+
                            <p class="lead">It has been described different ELONA formats for aptamer-based protein detection. We have chosen one of them, which uses an anti-digoxigenin antibody to recognize an aptamer previously labelled with digoxigenin. This antibody is conjugated with a peroxidase enzyme, and once it adds ABTS with hydrogen peroxide, it will be responsible for the colourimetric reaction which will be detected.</p>
+
                            <p class="lead">ELONA is a quantitative experiment and allows to calculate the Kd of the aptamers tested. This method improves the ones than previous iGEM teams have used to measure the affinity of aptamers like the <a href="https://2016.igem.org/Team:INSA-Lyon">Lyon team</a>t hat uses polyacrylamide gels. This is a qualitative experiment that only tells if the aptamer binds to the target protein but does not give you further information about the interaction ( Kd),  neither allow you to compare between different sequences, to choose the one with the best affinity.</p>
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             </section>
 
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             <section id="diglab" class="text-center">
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             <section id="selex" class="text-center">
 
                 <div class="container">
 
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                             <h2>DIG-Labelling</h2>
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                             <h2>Selex</h2>
                             <p class="lead">We choose to mark our aptamers with digoxigenin, so the second antibody could detect the aptamers binding to the protein, as it would do in a normal ELISA assay. We choose this method because it is performed as a normal PCR, but with modified primers. We followed the steps described in the “ELONA Protocol” and successfully labelled the sixth round of OLE-E1:</p>
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                             <p class="lead"><b>SELEX:</b> Systematic Evolution of Ligands via Exponential Selection is the process of identifying specific aptamers.</p>
                             <img class="figureimage" alt="Figure1" src="https://static.igem.org/mediawiki/2018/5/52/T--Madrid-OLM--Aptamer--Characterization--DIGlabeling.png" style="width:80%;"/>
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                            <p class="lead">To select a binding aptamer, you don't look for epitopes. It simplifies the process as you don't need to design a determined structure, but to reduce little by little an already binding population.</p>
                             <p class="lead" style="margin-left:10%; margin-right:10%;">Figure 1: Agarose gel after 15 cycles of amplification: line 1 negative control; line 2 initial population; line 3 round 6 of OLE-E1, line 4 round 6 of OLE-E1.</p>
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                            <p class="lead">The SELEX screening process starts with a random library of nucleotide oligomers of a fixed size with known sequences in each end (for further amplification by PCR). Then the library is incubated with the target molecule. A number of this random sequences will bind to the target and the unbound sequences will be discarded.</p>
 +
                            <p class="lead">The bound sequences are now separated from the target molecule (elution step) and amplified to create a new library.</p>
 +
                            <p class="lead">With every round, more and more oligonucleotides with low binding-affinity for our protein of interest will be discarded leaving only strong binding aptamers at the end:</p>
 +
                            <img alt="Image1" src="https://static.igem.org/mediawiki/2018/c/c3/T--Madrid-OLM--Aptamer--Discovery--Selexsquema.png" style="width:80%;"/>
 +
                            <p class="lead">This process used to imply a high amount of time, money and expertise to be performed correctly.  This is why it has been so difficult to earlier iGEM teams to work with aptamers, or why they skip the aptamer developing process and work only with already discovered aptamers.</p>
 +
                            <p class="lead">For the first time in iGEM we present a successful, affordable, and fast SELEX process. You could see the details on how to perform it in our protocol page:</p>
 +
                            <a class="btn btn--primary-2 btn--sm type--uppercase" href="https://2018.igem.org/Team:Madrid-OLM/AptamerProtocols#Discovery">
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                                <span class="btn__text">
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                                    Selex Protocol
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                                </span>
 +
                            </a>
 +
                            <br/><br/>
 +
                            <p class="lead">We hope that with this approach, in recent years, we will see the aptamers registry page getting larger and larger.</p>
 +
                           
 +
                            <h4>Our experiment:</h4>
 +
                            <p class="lead">To separate the bound sequences from the unbound ones, we decided to use a nitrocellulose membrane.</p>
 +
                            <p class="lead">Nitrocellulose membranes can bind protein through hydrophobic interactions, so when applying the incubated library pool with the target protein to the membrane and forced the liquid to pass through it, the protein will stay in the membrane as well as the bound sequences.</p>
 +
                            <p class="lead">The pore size was chosen after folding the aptamers and testing both 0,22 um and 0.45 um pore size. After analyzing the results we conclude that the 0.22 um pore was too small and the aptamers were being trapped because of their size and not by unspecific interactions.</p>
 +
                            <p class="lead">The other improvement and the most relevant one was the column system we designed and 3D printed to conduct our experiment. Its design was calculated to fit in a 1.5 ml Eppendorf tube, allowing us not only to lose as little as possible flow-through in each experiment ( take into account that the volumes we use are in a microlitre scale) but also to save material.</p>
 +
                            <p class="lead">Another change we introduced with our columns, was to use a centrifuge instead than a vacuum bomb, to force the liquid to pass through the membrane. A centrifuge is almost an essential item in a laboratory and extremely easy to use, so in the end, we simplified the protocol.</p>
 +
                            <img alt="Image1" src="https://static.igem.org/mediawiki/2018/8/80/T--Madrid-OLM--Aptamer--Discovery--Columns.gif" style="width:35%;"/>
 +
                            <p class="lead">You can download the columns stl files from <a href="http://github.com/OpenLabMadrid/iGEM-Madrid-OLM/tree/master/Nitrocellulose%20columns">our github repository</a> and see further instructions on how to print it, pre-treat it and mount it at our protocol page:</p>
 +
                            <a class="btn btn--primary-2 btn--sm type--uppercase" href="https://2018.igem.org/Team:Madrid-OLM/AptamerProtocols#Discovery">
 +
                                <span class="btn__text">
 +
                                    Selex Protocol
 +
                                </span>
 +
                            </a>
 +
                            <br/><br/>
 +
                            <p class="lead">Initially, we tested two different kinds of material: PLA ( the most commonly used when 3D printing) and PTEG. Our first choice was the PLA, however, when using the columns made with PLA, we observed a bit of contamination in the nanodrop curve around 260 nm. With the PTEG material, the curve showed no contamination whatsoever.</p>
 +
                            <img class= "figureimage" alt="Image1" src="https://static.igem.org/mediawiki/2018/1/1c/T--Madrid-OLM--Aptamer--Discovery--Nanodrop1.png" style="width:60%;"/>
 +
                            <p class="lead" style="margin-left:20%; margin-right:20%;">Figure 1. Nanodrop measure of the  library pool after passing through a PLA column.</p>
 +
                            <img class= "figureimage" alt="Image1" src="https://static.igem.org/mediawiki/2018/7/7a/T--Madrid-OLM--Aptamer--Discovery--Nanodrop2.png" style="width:60%;"/>
 +
                            <p class="lead" style="margin-left:20%; margin-right:20%;">Figure 2. Nanodrop measure of the library pool after passing through a PTEG column.</p>
 +
                           
 +
                            <p class="lead">We tried in parallel two different proteins:</p>
 +
                            <ol class="ourlist">
 +
                                <li class="nomargin"><p class="lead">BSA</p></li>
 +
                                <li><p class="lead">Ole-e1</p></li>
 +
                            </ol>
 +
                           
 +
                           
 +
                            <h4>BSA</h4>
 +
                            <p class="lead">We tested the detection limit of the ponceau dye to visualize the protein on the nitrocellulose membrane, which was 25 ug. This was decided to allow us to be able to detect, during the process,  if the protein was being correctly binding with the membrane:</p>
 +
                            <img class= "figureimage" alt="Image1" src="https://static.igem.org/mediawiki/2018/e/e7/T--Madrid-OLM--Aptamer--Discovery--BSA.png" style="width:80%;"/>
 +
                            <p class="lead" style="margin-left:10%; margin-right:10%;">Figure 1. It is shown the OD600 measurement by the first calibration experiment. The corrected Abs600 is made subtracting H2O measurements from LUDOX CL-X ones. The OD600/Abs600 result (3,652) is the multiplication factor, which you have to use after a cell density measurement with the plate reader to have a correct analysis.</p>
 +
                            <p class="lead">From that point on, the ratio between the aptamer/protein was 1:1. The recommended one is 1: 10, protein/aptamer, so there is competence for the binding sites and only the sequences with the best affinity are selected.</p>
 +
                            <p class="lead">Using our ratio means that further rounds of selection will be needed in order to achieve the same range of affinity than other SELEX selection using less protein.</p>
 +
                            <p class="lead">We start the Selex by dismissing the sequences that bind unspecifically to the system itself. We fold the aptamers and forced them through the membrane and keep the flowthrough. </p>
 +
                            <p class="lead">With each round, we will repeat this process before incubating with the target protein and see that the amplified libraries did not bind to the membrane alone, only after incubation with the protein:</p>
 +
                            <img class= "figureimage" alt="Table1" src="https://static.igem.org/mediawiki/2018/9/99/T--Madrid-OLM--Aptamer--Discovery--BSATable.png" style="width:50%;"/>
 +
                            <p class="lead" style="margin-left:20%; margin-right:20%;">Table 1. Nmol of aptamers trapped in the membrane and the % of sequences retain by unspecifically interactions for each round of Selex with BSA protein.</p>
 +
                            <p class="lead">After the incubation with the target, we forced the mix through the membrane again but this time keeping the membrane. Because of the amount of protein, we use in each round and as in can be seen in figure 1, not all the protein was being trapped by the membrane and in all the measures done by the nanodrop the curves from the protein concentration and DNA concentration overlap, making impossible to measure the flowthrough.</p>
 +
                            <p class="lead">During the consecutive rounds, the number of cycles to amplified by PCR were reduced from 30 to 10:</p>
 +
                            <p class="lead" style="margin-left:5%;">-  The second round of selection..</p>
 +
                             <img class= "figureimage" alt="Image1" src="https://static.igem.org/mediawiki/2018/1/1c/T--Madrid-OLM--Aptamer--Discovery--BSAgelesronda2.png" style="width:70%;"/>
 +
                             <p class="lead" style="margin-left:15%; margin-right:15%;">Figure 2: A:Agarose gel after 10 cycles of amplification. B: Agarose gel after 30 cycles of amplification.</p>
 +
                            <p class="lead" style="margin-left:5%;">-  Fourth round of selection:</p>
 +
                            <img class= "figureimage" alt="Image1" src="https://static.igem.org/mediawiki/2018/4/4d/T--Madrid-OLM--Aptamer--Discovery--BSAgelesronda4.png" style="width:25%;"/>
 +
                            <p class="lead" style="margin-left:30%; margin-right:10%;">Figure 3: Agarose gel after 10 cycles of amplification.</p>
 +
                           
 +
                            <h4>OLE-E1</h4>
 +
                            <p class="lead">We start the SELEX protocol as we did with BSA, with the exception that we followed the 1:10 ratio of aptamer/protein proportion, so for this experiment, we used 2 ugs of protein for each round.</p>
 +
                            <p class="lead">We had problems with the amplification of the rounds of selection so instead of checking the proper number of amplification cycles, we fixed 50 cycles. We eventually could manage to see enough DNA in the agarose gel, but the number of cycles boosts the creation of concatamers. Concatamers are long continuous DNA molecules that contain multiples copies of the same DNA sequences linked in series.</p>
 +
                            <p class="lead">Not only were clearly seen in the agarose gels. The amount of DNA that was being trapped in the membrane before the incubation with the target protein increased too.</p>
 +
                           
 +
                            <img class= "figureimage" alt="Image1" src="https://static.igem.org/mediawiki/2018/9/9e/T--Madrid-OLM--Aptamer--Discovery--OLEgeles.png" style="width:60%;"/>
 +
                            <p class="lead" style="margin-left:20%; margin-right:20%;">Figure 4. A: Agarose gel after the second round.  B: Agarose gel after the sixth round.</p>
 +
                            <img class= "figureimage" alt="Image1" src="https://static.igem.org/mediawiki/2018/8/84/T--Madrid-OLM--Aptamer--Discovery--OLETable.png" style="width:60%;"/>
 +
                            <p class="lead" style="margin-left:20%; margin-right:20%;">Table 2. Nmol of aptamers trapped in the membrane and the % of sequences retain by unspecifically interactions for each round of Selex with Ole-E1 protein.</p>
 +
                           
 +
                            <p class="lead">At the end we finish for each protein:</p>
 +
                            <p class="lead nomargin" style="margin-left:5%;">- BSA: six rounds.</p>
 +
                            <p class="lead nomargin" style="margin-left:5%;">- Ole-1: seven rounds.</p>
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             <section id="elona" class="text-center">
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             <section id="qPCR" class="text-center">
 
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                             <h2>ELONA</h2>
+
                             <h2>qPCR</h2>
                             <p class="lead">During the DIG-labelling, we only obtained enough nanograms of aptamers to test only one concentration, 1 ng/µL. Because of this, we did a triplicate, instead of a duplicate like in our protocol. We also didn’t use thrombin as positive control, because we run out of it while tuning up the protocol. We used another proven aptamer ceded from the Victor González research group.</p>
+
                             <p class="lead">The real-time PCR can show the evolution and enrichment of your selection process. When the amount of different sequences is very high, like in the initial population, the fluorescence star to grow and reaches a peak before decreasing.</p>
                             <a class="btn btn--primary-2 btn--sm type--uppercase" href="https://2018.igem.org/Team:Madrid-OLM/AptamerProtocols#characterization">
+
                             <p class="lead">This happens because as the SELEX id performed, the number of different sequences are drastically reduced, therefore the amplification can be done as usual and the characteristic sigmoid curve finally appears.</p>
                                <span class="btn__text">
+
                            <p class="lead">This happens because as the SELEX id performed, the number of different sequences are drastically reduced, therefore the amplification can be done as usual and the characteristic sigmoid curve finally appears. With each round of selection, we are able to reduce the number of sequences until the ideal curve it's achieved.</p>
                                    Elona Protocol
+
                             <img class= "figureimage" alt="Image1" src="https://static.igem.org/mediawiki/2018/a/aa/T--Madrid-OLM--Aptamer--Discovery--qPCRGraph.png" style="width:80%;"/>
                                </span>
+
                             <p class="lead" style="margin-left:10%; margin-right:10%;">Figure 5: Graph with the cycles of the rounds of qPCR against Relative Fluorescence Units (RFU) for the different round of Selex.</p>
                            </a>
+
                            <p class="lead">Using the qPCR to check the selection and the numbers of sequences we are left with improves the work of the <a href="https://2017.igem.org/Team:UBonn_HBRS">UBonn iGEM team</a> characterization because they use next-generation sequencing to see the number of sequences and their representation. With our technique, we still don’t the sequence, but we can know the number of sequences there are, and until confirming their affinity with the target, the sequence is less important. The final advantage is that using qPCR saves time: a day instead of 1 month and can be used frequently to check rounds.</p>
                            <h5>Results</h5>
+
                           
                            <ol class="ourlist">
+
                                <li><p class="lead">We performed a successful ELONA assay, as it can be seen in the positive control. As the positive control is an aptamer that we know that has a high affinity, it shows a high absorbance, proving that we were able to measure aptamers binding to their target. </p></li>
+
                                <li><p class="lead">The absorbance from round 6 increased in comparison to the initial population. This fact showed that we were able to recover the sequences that actually binds as well as discard the ones that don’t.</p></li>
+
                                <li><p class="lead">The results also tell, together with the qPCR ones, that a few more rounds will be needed to achieve the desired affinity. Because if you compare the absorbance of our round 6 to the positive control, it is still low.</p></li>
+
                            </ol>
+
                            <p class="lead">We did an additional round of SELEX, restricting the time to half an hour to force the selection, but we did not repeat an ELONA with the new round because of the lack of time.</p>
+
                             <img class="figureimage" alt="Figure2" src="https://static.igem.org/mediawiki/2018/8/81/T--Madrid-OLM--Aptamer--Characterization--Elona.png" style="width:60%;"/>
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                             <p class="lead" style="margin-left:20%; margin-right:20%;">Figure 2: Absorbance of the initial population against negative control (BSA), round 6 of OLE-E1 against negative control, noise and positive control.</p>
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Revision as of 00:17, 18 October 2018

Madrid-OLM

Aptamer Discovery

Aptamer Discovery

Selex

SELEX: Systematic Evolution of Ligands via Exponential Selection is the process of identifying specific aptamers.

To select a binding aptamer, you don't look for epitopes. It simplifies the process as you don't need to design a determined structure, but to reduce little by little an already binding population.

The SELEX screening process starts with a random library of nucleotide oligomers of a fixed size with known sequences in each end (for further amplification by PCR). Then the library is incubated with the target molecule. A number of this random sequences will bind to the target and the unbound sequences will be discarded.

The bound sequences are now separated from the target molecule (elution step) and amplified to create a new library.

With every round, more and more oligonucleotides with low binding-affinity for our protein of interest will be discarded leaving only strong binding aptamers at the end:

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This process used to imply a high amount of time, money and expertise to be performed correctly. This is why it has been so difficult to earlier iGEM teams to work with aptamers, or why they skip the aptamer developing process and work only with already discovered aptamers.

For the first time in iGEM we present a successful, affordable, and fast SELEX process. You could see the details on how to perform it in our protocol page:

Selex Protocol

We hope that with this approach, in recent years, we will see the aptamers registry page getting larger and larger.

Our experiment:

To separate the bound sequences from the unbound ones, we decided to use a nitrocellulose membrane.

Nitrocellulose membranes can bind protein through hydrophobic interactions, so when applying the incubated library pool with the target protein to the membrane and forced the liquid to pass through it, the protein will stay in the membrane as well as the bound sequences.

The pore size was chosen after folding the aptamers and testing both 0,22 um and 0.45 um pore size. After analyzing the results we conclude that the 0.22 um pore was too small and the aptamers were being trapped because of their size and not by unspecific interactions.

The other improvement and the most relevant one was the column system we designed and 3D printed to conduct our experiment. Its design was calculated to fit in a 1.5 ml Eppendorf tube, allowing us not only to lose as little as possible flow-through in each experiment ( take into account that the volumes we use are in a microlitre scale) but also to save material.

Another change we introduced with our columns, was to use a centrifuge instead than a vacuum bomb, to force the liquid to pass through the membrane. A centrifuge is almost an essential item in a laboratory and extremely easy to use, so in the end, we simplified the protocol.

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You can download the columns stl files from our github repository and see further instructions on how to print it, pre-treat it and mount it at our protocol page:

Selex Protocol

Initially, we tested two different kinds of material: PLA ( the most commonly used when 3D printing) and PTEG. Our first choice was the PLA, however, when using the columns made with PLA, we observed a bit of contamination in the nanodrop curve around 260 nm. With the PTEG material, the curve showed no contamination whatsoever.

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Figure 1. Nanodrop measure of the library pool after passing through a PLA column.

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Figure 2. Nanodrop measure of the library pool after passing through a PTEG column.

We tried in parallel two different proteins:

  1. BSA

  2. Ole-e1

BSA

We tested the detection limit of the ponceau dye to visualize the protein on the nitrocellulose membrane, which was 25 ug. This was decided to allow us to be able to detect, during the process, if the protein was being correctly binding with the membrane:

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Figure 1. It is shown the OD600 measurement by the first calibration experiment. The corrected Abs600 is made subtracting H2O measurements from LUDOX CL-X ones. The OD600/Abs600 result (3,652) is the multiplication factor, which you have to use after a cell density measurement with the plate reader to have a correct analysis.

From that point on, the ratio between the aptamer/protein was 1:1. The recommended one is 1: 10, protein/aptamer, so there is competence for the binding sites and only the sequences with the best affinity are selected.

Using our ratio means that further rounds of selection will be needed in order to achieve the same range of affinity than other SELEX selection using less protein.

We start the Selex by dismissing the sequences that bind unspecifically to the system itself. We fold the aptamers and forced them through the membrane and keep the flowthrough.

With each round, we will repeat this process before incubating with the target protein and see that the amplified libraries did not bind to the membrane alone, only after incubation with the protein:

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Table 1. Nmol of aptamers trapped in the membrane and the % of sequences retain by unspecifically interactions for each round of Selex with BSA protein.

After the incubation with the target, we forced the mix through the membrane again but this time keeping the membrane. Because of the amount of protein, we use in each round and as in can be seen in figure 1, not all the protein was being trapped by the membrane and in all the measures done by the nanodrop the curves from the protein concentration and DNA concentration overlap, making impossible to measure the flowthrough.

During the consecutive rounds, the number of cycles to amplified by PCR were reduced from 30 to 10:

- The second round of selection..

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Figure 2: A:Agarose gel after 10 cycles of amplification. B: Agarose gel after 30 cycles of amplification.

- Fourth round of selection:

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Figure 3: Agarose gel after 10 cycles of amplification.

OLE-E1

We start the SELEX protocol as we did with BSA, with the exception that we followed the 1:10 ratio of aptamer/protein proportion, so for this experiment, we used 2 ugs of protein for each round.

We had problems with the amplification of the rounds of selection so instead of checking the proper number of amplification cycles, we fixed 50 cycles. We eventually could manage to see enough DNA in the agarose gel, but the number of cycles boosts the creation of concatamers. Concatamers are long continuous DNA molecules that contain multiples copies of the same DNA sequences linked in series.

Not only were clearly seen in the agarose gels. The amount of DNA that was being trapped in the membrane before the incubation with the target protein increased too.

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Figure 4. A: Agarose gel after the second round. B: Agarose gel after the sixth round.

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Table 2. Nmol of aptamers trapped in the membrane and the % of sequences retain by unspecifically interactions for each round of Selex with Ole-E1 protein.

At the end we finish for each protein:

- BSA: six rounds.

- Ole-1: seven rounds.

qPCR

The real-time PCR can show the evolution and enrichment of your selection process. When the amount of different sequences is very high, like in the initial population, the fluorescence star to grow and reaches a peak before decreasing.

This happens because as the SELEX id performed, the number of different sequences are drastically reduced, therefore the amplification can be done as usual and the characteristic sigmoid curve finally appears.

This happens because as the SELEX id performed, the number of different sequences are drastically reduced, therefore the amplification can be done as usual and the characteristic sigmoid curve finally appears. With each round of selection, we are able to reduce the number of sequences until the ideal curve it's achieved.

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Figure 5: Graph with the cycles of the rounds of qPCR against Relative Fluorescence Units (RFU) for the different round of Selex.

Using the qPCR to check the selection and the numbers of sequences we are left with improves the work of the UBonn iGEM team characterization because they use next-generation sequencing to see the number of sequences and their representation. With our technique, we still don’t the sequence, but we can know the number of sequences there are, and until confirming their affinity with the target, the sequence is less important. The final advantage is that using qPCR saves time: a day instead of 1 month and can be used frequently to check rounds.