Difference between revisions of "Part:BBa K4165254"
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This part encodes Cohesin 2 protein tagged with GST for its purification and characterization | This part encodes Cohesin 2 protein tagged with GST for its purification and characterization | ||
− | |||
===Usage and Biology=== | ===Usage and Biology=== | ||
+ | The Cohesin 2 module comes from the C. thermocellum scaffoldin and it could recognize and bind tightly to its complementary counterpart Dockerin S. The Coh2–DocS pair represents the interaction between two complementary families of protein modules that exhibit divergent specificities and affinities, ranging from one of the highest known affinity constants between two proteins to relatively low-affinity interactions. This serves an essential role in the assembly of cellulosomal enzymes into the multienzyme cellulolytic complex (cellulosome), this interaction happens in two different forms, called the dual binding mode, in a calcium-dependent manner due to the presence of a calcium-binding site in the dockerin protein. | ||
+ | We used the DocS-Coh2 binding in our Snitch system to form the PROTAC pair that will conjugate E3 ligase trim 21 (BBa_K4165001) with the binding peptide for our targeted protein tau. | ||
<!-- --> | <!-- --> | ||
<span class='h3bb'>Sequence and Features</span> | <span class='h3bb'>Sequence and Features</span> | ||
<partinfo>BBa_K4165254 SequenceAndFeatures</partinfo> | <partinfo>BBa_K4165254 SequenceAndFeatures</partinfo> | ||
+ | |||
+ | ===Dry lab characterization=== | ||
+ | <p style=" font-weight: bold; font-size:14px;"> 1.1.Modeling </p> | ||
+ | Coh2 was modeled tagged with GST to purify it and measure its expression yield, the models were done using (Alphafold - Modeller - trRosetta - Rosettafold) and the top models were obtained from Alphafold and trRosetta ranking 5 out of 6 according to our QA code. | ||
+ | |||
+ | <html> | ||
+ | <p><img src="https://static.igem.wiki/teams/4165/wiki/parts-registry/switches/gst-coh.png" style="margin-left:200px;" alt="" width="500" /></p> | ||
+ | </html> | ||
+ | |||
+ | Figure 1.: Predicted 3D structure of Coh2 protein tagged by GST designed by AlphaFold tool visualized on Pymol. | ||
+ | |||
+ | <p style=" font-weight: bold; font-size:13px;"> Table 1: Quality assessment parameters of GST-Coh2 model. </p> | ||
+ | |||
+ | <html> | ||
+ | <p><img src="https://static.igem.wiki/teams/4165/wiki/parts-registry/switches/gst-cohqa.png" style="margin-left:100px;" alt="" width="800" /></p> | ||
+ | </html> | ||
+ | |||
+ | |||
+ | |||
+ | <p style=" font-weight: bold; font-size:14px;"> 1.2. Docking </p> | ||
+ | <html> | ||
+ | The docking results showed that the fusion of GST to DocS increased its binding affinity score to Coh2 more than without the GST. Illustrating that GST increases the contact between both proteins. In addition, Galaxy and ClusPro docking results showed that the affinity when GST is fused to DocS is better than when fused to Coh2, this may be due to decreasing the overall non-interacting surface of the protein and consequently increasing the affinity. So, we ordered the four parts (His-DocS, GST-DocS, His-Coh2, GST-DocS) to prove our theory experimentally. | ||
+ | |||
+ | |||
+ | All of the docking results were ranked using our code for calculating the binding affinity based on PRODIGY (please refer to our <a href="https://2022.igem.wiki/cu-egypt/ProgrammingClub.html">Programming club page a code under the name of son</a>.</p> | ||
+ | <p style=" font-weight: bold; color: red; font-size:14px;"> ΔG = -13.15 kcal/mol</p> | ||
+ | |||
+ | <html> | ||
+ | <p><img src="https://static.igem.wiki/teams/4165/wiki/parts-registry/switches/gst-coh2-galaxy.png" style="margin-left:200px;" alt="" width="500" /></p> | ||
+ | </html> | ||
+ | |||
+ | |||
+ | Figure 2.: 3D structure of GST-Coh2 docked with His-DocS on Galaxy and visualized on pymol. | ||
+ | |||
+ | |||
+ | <p style=" font-weight: bold; font-size:14px;"> His-Docs VS GST-Coh by ClusPro </p> | ||
+ | |||
+ | |||
+ | <html> | ||
+ | <p><img src="https://static.igem.wiki/teams/4165/wiki/parts-registry/gst-coh2-dochis-cluspro.png" style="margin-left:200px;" alt="" width="500" /></p> | ||
+ | </html> | ||
+ | |||
+ | Figure 3.: Docked structure of His-Docs VS GST-Coh2 designed by ClusPro visualized by Pymol. | ||
+ | |||
+ | |||
+ | |||
+ | <p style=" font-weight: bold; font-size:14px;"> Binding energies of Docs VS Coh2 </p> | ||
+ | |||
+ | <html> | ||
+ | <style> | ||
+ | table, th, td { | ||
+ | border:1px solid black; margin-left:auto;margin-right:auto; | ||
+ | } | ||
+ | </style> | ||
+ | <body> | ||
+ | <table style="width:40%"> | ||
+ | <table> | ||
+ | <tr> | ||
+ | <th>Binnding affinities of DocS Vs Coh2 docking (kcal/mol)</th> | ||
+ | </tr> | ||
+ | <tr> | ||
+ | <th>Model</th> | ||
+ | <th>Galaxy</th> | ||
+ | <th>Cluspro</th> | ||
+ | </tr> | ||
+ | <tr> | ||
+ | <th>GST_Coh2 vs His_DocS</th> | ||
+ | <td>-13.153</td> | ||
+ | <td>-11.635</td> | ||
+ | </tr> | ||
+ | <tr> | ||
+ | <th>GST_DocS vs His_Coh2</th> | ||
+ | <td>-13.488</td> | ||
+ | <td>-14.026</td> | ||
+ | </tr> | ||
+ | </table> | ||
+ | </body> | ||
+ | </html> | ||
+ | |||
+ | Table 3.: Binding energies of Docs VS Coh2 tagged with GST and His docked using Galaxy and ClusPro. | ||
===WetLab Results=== | ===WetLab Results=== | ||
− | <p style=" font-weight: bold; font-size:14px;"> | + | In the wet lab, we started with cloning in the pJET vector followed by the expression in the pGS-21a, then we performed two different kinds of lysis to extract the protein to find which lysis buffer would give a better yield and quantified the protein expression before and after induction using BCA assay, in the end, we tested the GST Coh affinity by the pulldown assay against His Doc. |
+ | <p style=" font-weight: bold; font-size:14px;"> Ligation reaction between GST Coh and pJET cloning vector </p> | ||
+ | We used T4 ligase to ligate GST Coh with the pJET cloning vector, so we incubated GST Coh with pJET overnight at 15°C. | ||
<html> | <html> | ||
− | <p><img src="https://static.igem.wiki/teams/4165/wiki/parts-registry/wetlab-results/gst-coh. | + | <p><img src="https://static.igem.wiki/teams/4165/wiki/parts-registry/wetlab-results/ligation-of-gst-coh.png" style="margin-left:200px;" alt="" width="500" /></p> |
</html> | </html> | ||
− | + | Figure 3. This figure shows the ligation between GST Coh and pJET cloning vector. | |
− | <p style=" font-weight: bold; font-size:14px;"> Transformation of GST COH in DH-5 alpha using pJET vector </p> | + | <html> |
+ | <p style=" font-weight: bold; font-size:14px;"> Transformation of GST COH in DH-5 alpha using pJET cloning vector </p> | ||
+ | The transformation was done using the TSS buffer protocol, after trying three buffers which are Calcium chloride, Magnesium chloride, and a combination between Calcium chloride and Magnesium chloride, we optimized our protocol to use the TSS buffer protocol as it showed the best results with a transformation efficiency of GST Coh in DH-5 alpha using pJET vector is 400000 No. of transformants/μg, you can find the complete protocol optimization in our <a href="https://2022.igem.wiki/cu-egypt/ProtocolOptimization.html wiki | ||
<html> | <html> | ||
<p><img src="https://static.igem.wiki/teams/4165/wiki/parts-registry/wetlab-results/gst-coh-pjet.jpg" style="margin-left:200px;" alt="" width="500" /></p> | <p><img src="https://static.igem.wiki/teams/4165/wiki/parts-registry/wetlab-results/gst-coh-pjet.jpg" style="margin-left:200px;" alt="" width="500" /></p> | ||
</html> | </html> | ||
− | Figure | + | Figure 4. The transformed plate of GST COH + pJET. |
+ | <p style=" font-weight: bold; font-size:14px;"> Miniprep for GST Coh </p> | ||
+ | Miniprep is a technique that is done to extract the plasmid that contains our part. So, we performed miniprep for GST Coh in the pJET cloning vector to extract our protein. | ||
+ | <html> | ||
+ | <p><img src="https://static.igem.wiki/teams/4165/wiki/parts-registry/wetlab-results/gst-coh-miniprep.png" style="margin-left:200px;" alt="" width="500" /></p> | ||
+ | </html> | ||
+ | Figure 5. This figure shows the miniprep of GST Coh in pJET cloning vector. | ||
+ | |||
+ | <p style=" font-weight: bold; font-size:14px;"> Transformation of GST Coh in BL-21 using pGS-21a expression vector </p> | ||
+ | <html> | ||
+ | <p><img src="https://static.igem.wiki/teams/4165/wiki/parts-registry/wetlab-results/gst-coh.jpg" style="margin-left:200px;" alt="" width="500" /></p> | ||
+ | </html> | ||
+ | Figure 6. The transformed plate of GST Coh + pGS-21a. | ||
+ | <p style=" font-weight: bold; font-size:14px;"> SDS PAGE for induced and non induced samples of GST Coh </p> | ||
+ | SDS PAGE depends on the molecular weight of the protein, so we performed SDS PAGE to check GST Coh size and to compare between induced and non-induced samples | ||
+ | <html> | ||
+ | <p><img src="https://static.igem.wiki/teams/4165/wiki/parts-registry/wetlab-results/induced-and-non-induced-of-gst-coh.png" style="margin-left:200px;" alt="" width="500" /></p> | ||
+ | </html> | ||
+ | Figure 7. This figure shows the SDS PAGE of induced and non-induced samples of GST Coh where well no.1 is the | ||
+ | non-induced sample while well no.2 is the induced sample, showing that the induced sample of GST Coh appeared | ||
+ | at the expected size, which is 45Kda. | ||
+ | |||
<p style=" font-weight: bold; font-size:14px;"> Comparison between chemical lysis and sonication for GST COH </p> | <p style=" font-weight: bold; font-size:14px;"> Comparison between chemical lysis and sonication for GST COH </p> | ||
+ | Chemical lysis and physical using sonication were done to check which of them gave better results in the protein extraction. After comparing the results, we optimized our protocol to use sonication for GST Coh. after we had the result, we optimized our protocol to use sonication for GST Coh extraction. | ||
<html> | <html> | ||
<p><img src="https://static.igem.wiki/teams/4165/wiki/data-analysis/sonication-or-chemical/sonication-or-chemical/gst-coh2.jpg" style="margin-left:200px;" alt="" width="500" /></p> | <p><img src="https://static.igem.wiki/teams/4165/wiki/data-analysis/sonication-or-chemical/sonication-or-chemical/gst-coh2.jpg" style="margin-left:200px;" alt="" width="500" /></p> | ||
</html> | </html> | ||
− | Figure | + | |
+ | Figure 8. This graph shows a highly significant difference between the chemical lysis and sonication for GST Coh. | ||
+ | <p style=" font-weight: bold; font-size:14px;"> Pull-down assay of His Coh with GST Doc and His Doc with GST Coh </p> | ||
+ | Pull-down assay is a one-step technique performed to check the protein-protein interaction. To check if they bind properly, we performed the pull-down assay to check the binding between His doc and GST Coh. | ||
+ | <html> | ||
+ | <p><img src="https://static.igem.wiki/teams/4165/wiki/parts-registry/wetlab-results/coh-vs-doc.jpg" style="margin-left:200px;" alt="" width="500" /></p> | ||
+ | </html> | ||
+ | Figure 9. This graph illustrates that the binding between His Doc with GST Coh is more stable | ||
+ | than that of His Coh with GST Doc. | ||
+ | <p style=" font-weight: bold; font-size:14px;"> BCA assay results for His Coh and GST Coh </p> | ||
+ | BCA assay is a technique that is performed to quantify the proteins, and it depends on the color of the BCA working reagent, which is directly proportional to the quantity of the protein, we performed BCA for GST Coh to know its concentration, and it found to be 0.1158. | ||
+ | <html> | ||
+ | <p><img src="https://static.igem.wiki/teams/4165/wiki/parts-registry/wetlab-results/standard-curve.jpg" style="margin-left:200px;" alt="" width="500" /></p> | ||
+ | </html> | ||
+ | |||
+ | <html> | ||
+ | <p><img src="https://static.igem.wiki/teams/4165/wiki/parts-registry/wetlab-results/bca-gst-coh.png" style="margin-left:200px;" alt="" width="500" /></p> | ||
+ | </html> | ||
+ | Figure 10. This graph illustrates the results of the BCA assay for GST COH, showing that our protein | ||
+ | concentration is expected to be 0.1158 | ||
+ | <p style=" font-weight: bold; font-size:14px;"> Pull-down assay was performed to check the protein-protein interactions </p> | ||
+ | <html> | ||
+ | <p><img src="https://static.igem.wiki/teams/4165/wiki/data-analysis/pull-down/his-doc-gst-coh.jpg" style="margin-left:200px;" alt="" width="500" /></p> | ||
+ | </html> | ||
+ | Figure 11. This figure shows that the binding between his doc and GST Coh happened as the concentration of | ||
+ | the GST Coh and His Doc more than that of His Doc alone. | ||
+ | |||
+ | ===References=== | ||
+ | |||
+ | 1. Brás, J. L., Carvalho, A. L., Viegas, A., Najmudin, S., Alves, V. D., Prates, J. A., Ferreira, L. M., Romão, M. J., Gilbert, H. J., & Fontes, C. M. (2012). Escherichia coli Expression, Purification, Crystallization, and Structure Determination of Bacterial Cohesin–Dockerin Complexes. Methods in Enzymology, 510, 395-415. https://doi.org/10.1016/B978-0-12-415931-0.00021-5 | ||
+ | |||
+ | 2. Slutzki, M., Ruimy, V., Morag, E., Barak, Y., Haimovitz, R., Lamed, R., & Bayer, E. A. (2012). High-Throughput Screening of Cohesin Mutant Libraries on Cellulose Microarrays. Methods in Enzymology, 510, 453-463. https://doi.org/10.1016/B978-0-12-415931-0.00024-0 | ||
+ | |||
+ | 3. Stahl, S. W., Nash, M. A., Fried, D. B., Slutzki, M., Barak, Y., Bayer, E. A., & Gaub, H. E. (2012). Single-molecule dissection of the high-affinity cohesin–dockerin complex. Proceedings of the National Academy of Sciences, 109(50), 20431-20436. | ||
+ | |||
+ | 4. Karpol A, Kantorovich L, Demishtein A, Barak Y, Morag E, Lamed R, Bayer EA. Engineering a reversible, high-affinity system for efficient protein purification based on the cohesin-dockerin interaction. J Mol Recognit. 2009 Mar-Apr;22(2):91-8. doi: 10.1002/jmr.926. PMID: 18979459. | ||
+ | |||
+ | 5. Wojciechowski, M., Różycki, B., Huy, P.D.Q. et al. Dual binding in cohesin-dockerin complexes: the energy landscape and the role of short, terminal segments of the dockerin module. Sci Rep 8, 5051 (2018). https://doi.org/10.1038/s41598-018-23380-9 | ||
<!-- Uncomment this to enable Functional Parameter display | <!-- Uncomment this to enable Functional Parameter display | ||
===Functional Parameters=== | ===Functional Parameters=== | ||
<partinfo>BBa_K4165254 parameters</partinfo> | <partinfo>BBa_K4165254 parameters</partinfo> | ||
<!-- --> | <!-- --> |
Latest revision as of 03:04, 14 October 2022
GST-Coh2
This part encodes Cohesin 2 protein tagged with GST for its purification and characterization
Usage and Biology
The Cohesin 2 module comes from the C. thermocellum scaffoldin and it could recognize and bind tightly to its complementary counterpart Dockerin S. The Coh2–DocS pair represents the interaction between two complementary families of protein modules that exhibit divergent specificities and affinities, ranging from one of the highest known affinity constants between two proteins to relatively low-affinity interactions. This serves an essential role in the assembly of cellulosomal enzymes into the multienzyme cellulolytic complex (cellulosome), this interaction happens in two different forms, called the dual binding mode, in a calcium-dependent manner due to the presence of a calcium-binding site in the dockerin protein.
We used the DocS-Coh2 binding in our Snitch system to form the PROTAC pair that will conjugate E3 ligase trim 21 (BBa_K4165001) with the binding peptide for our targeted protein tau. Sequence and Features
- 10COMPATIBLE WITH RFC[10]
- 12COMPATIBLE WITH RFC[12]
- 21COMPATIBLE WITH RFC[21]
- 23COMPATIBLE WITH RFC[23]
- 25COMPATIBLE WITH RFC[25]
- 1000INCOMPATIBLE WITH RFC[1000]Illegal SapI.rc site found at 85
Dry lab characterization
1.1.Modeling
Coh2 was modeled tagged with GST to purify it and measure its expression yield, the models were done using (Alphafold - Modeller - trRosetta - Rosettafold) and the top models were obtained from Alphafold and trRosetta ranking 5 out of 6 according to our QA code.
Figure 1.: Predicted 3D structure of Coh2 protein tagged by GST designed by AlphaFold tool visualized on Pymol.
Table 1: Quality assessment parameters of GST-Coh2 model.
1.2. Docking
The docking results showed that the fusion of GST to DocS increased its binding affinity score to Coh2 more than without the GST. Illustrating that GST increases the contact between both proteins. In addition, Galaxy and ClusPro docking results showed that the affinity when GST is fused to DocS is better than when fused to Coh2, this may be due to decreasing the overall non-interacting surface of the protein and consequently increasing the affinity. So, we ordered the four parts (His-DocS, GST-DocS, His-Coh2, GST-DocS) to prove our theory experimentally. All of the docking results were ranked using our code for calculating the binding affinity based on PRODIGY (please refer to our Programming club page a code under the name of son.
ΔG = -13.15 kcal/mol
Figure 2.: 3D structure of GST-Coh2 docked with His-DocS on Galaxy and visualized on pymol.
His-Docs VS GST-Coh by ClusPro
Figure 3.: Docked structure of His-Docs VS GST-Coh2 designed by ClusPro visualized by Pymol.
Binding energies of Docs VS Coh2
Binnding affinities of DocS Vs Coh2 docking (kcal/mol) | ||
---|---|---|
Model | Galaxy | Cluspro |
GST_Coh2 vs His_DocS | -13.153 | -11.635 |
GST_DocS vs His_Coh2 | -13.488 | -14.026 |
Table 3.: Binding energies of Docs VS Coh2 tagged with GST and His docked using Galaxy and ClusPro.
WetLab Results
In the wet lab, we started with cloning in the pJET vector followed by the expression in the pGS-21a, then we performed two different kinds of lysis to extract the protein to find which lysis buffer would give a better yield and quantified the protein expression before and after induction using BCA assay, in the end, we tested the GST Coh affinity by the pulldown assay against His Doc.
Ligation reaction between GST Coh and pJET cloning vector
We used T4 ligase to ligate GST Coh with the pJET cloning vector, so we incubated GST Coh with pJET overnight at 15°C.
Figure 3. This figure shows the ligation between GST Coh and pJET cloning vector.
Transformation of GST COH in DH-5 alpha using pJET cloning vector
The transformation was done using the TSS buffer protocol, after trying three buffers which are Calcium chloride, Magnesium chloride, and a combination between Calcium chloride and Magnesium chloride, we optimized our protocol to use the TSS buffer protocol as it showed the best results with a transformation efficiency of GST Coh in DH-5 alpha using pJET vector is 400000 No. of transformants/μg, you can find the complete protocol optimization in ourFigure 4. The transformed plate of GST COH + pJET.
Miniprep for GST Coh
Miniprep is a technique that is done to extract the plasmid that contains our part. So, we performed miniprep for GST Coh in the pJET cloning vector to extract our protein.
Figure 5. This figure shows the miniprep of GST Coh in pJET cloning vector.
Transformation of GST Coh in BL-21 using pGS-21a expression vector
Figure 6. The transformed plate of GST Coh + pGS-21a.
SDS PAGE for induced and non induced samples of GST Coh
SDS PAGE depends on the molecular weight of the protein, so we performed SDS PAGE to check GST Coh size and to compare between induced and non-induced samples
Figure 7. This figure shows the SDS PAGE of induced and non-induced samples of GST Coh where well no.1 is the non-induced sample while well no.2 is the induced sample, showing that the induced sample of GST Coh appeared at the expected size, which is 45Kda.
Comparison between chemical lysis and sonication for GST COH
Chemical lysis and physical using sonication were done to check which of them gave better results in the protein extraction. After comparing the results, we optimized our protocol to use sonication for GST Coh. after we had the result, we optimized our protocol to use sonication for GST Coh extraction.
Figure 8. This graph shows a highly significant difference between the chemical lysis and sonication for GST Coh.
Pull-down assay of His Coh with GST Doc and His Doc with GST Coh
Pull-down assay is a one-step technique performed to check the protein-protein interaction. To check if they bind properly, we performed the pull-down assay to check the binding between His doc and GST Coh.
Figure 9. This graph illustrates that the binding between His Doc with GST Coh is more stable than that of His Coh with GST Doc.
BCA assay results for His Coh and GST Coh
BCA assay is a technique that is performed to quantify the proteins, and it depends on the color of the BCA working reagent, which is directly proportional to the quantity of the protein, we performed BCA for GST Coh to know its concentration, and it found to be 0.1158.
Figure 10. This graph illustrates the results of the BCA assay for GST COH, showing that our protein concentration is expected to be 0.1158
Pull-down assay was performed to check the protein-protein interactions
Figure 11. This figure shows that the binding between his doc and GST Coh happened as the concentration of the GST Coh and His Doc more than that of His Doc alone.
References
1. Brás, J. L., Carvalho, A. L., Viegas, A., Najmudin, S., Alves, V. D., Prates, J. A., Ferreira, L. M., Romão, M. J., Gilbert, H. J., & Fontes, C. M. (2012). Escherichia coli Expression, Purification, Crystallization, and Structure Determination of Bacterial Cohesin–Dockerin Complexes. Methods in Enzymology, 510, 395-415. https://doi.org/10.1016/B978-0-12-415931-0.00021-5
2. Slutzki, M., Ruimy, V., Morag, E., Barak, Y., Haimovitz, R., Lamed, R., & Bayer, E. A. (2012). High-Throughput Screening of Cohesin Mutant Libraries on Cellulose Microarrays. Methods in Enzymology, 510, 453-463. https://doi.org/10.1016/B978-0-12-415931-0.00024-0
3. Stahl, S. W., Nash, M. A., Fried, D. B., Slutzki, M., Barak, Y., Bayer, E. A., & Gaub, H. E. (2012). Single-molecule dissection of the high-affinity cohesin–dockerin complex. Proceedings of the National Academy of Sciences, 109(50), 20431-20436.
4. Karpol A, Kantorovich L, Demishtein A, Barak Y, Morag E, Lamed R, Bayer EA. Engineering a reversible, high-affinity system for efficient protein purification based on the cohesin-dockerin interaction. J Mol Recognit. 2009 Mar-Apr;22(2):91-8. doi: 10.1002/jmr.926. PMID: 18979459.
5. Wojciechowski, M., Różycki, B., Huy, P.D.Q. et al. Dual binding in cohesin-dockerin complexes: the energy landscape and the role of short, terminal segments of the dockerin module. Sci Rep 8, 5051 (2018). https://doi.org/10.1038/s41598-018-23380-9