Difference between revisions of "Team:William and Mary/Description"
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| − | + | <a href="https://2015.igem.org/Team:William_and_Mary" class="navbar-brand">W&M iGEM 2015</a> | |
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| + | <a href="https://2015.igem.org/Team:William_and_Mary/Description"> | ||
| + | Project Description | ||
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| − | <p> | + | <p>Despite the extensive characterization of the average strength of the promoters available on the Biobrick registry, very few have information pertaining to the variability in their expression. This variability, also commonly referred to as stochasticity or noise, in gene expression can be split into two components: extrinsic and intrinsic noise. Extrinsic factors, like differing RNA polymerase concentrations and nucleotide availability, affect transcription equally within the cell, regardless of what cis-regulatory elements drive transcription of the genes in question. Intrinsic components, like DNA-protein binding kinetics, are promoter-specific contributions to noise. Our project aims to tease apart the extrinsic and intrinsic components of gene expression noise, and characterize the noise inherent to commonly used promoters in synthetic biology. |
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| − | + | Original work done by the Elowitz lab at the California Institute of Technology investigated stochasticity in gene expression at the single cell level using a dual-reporter fluorescent system (Elowitz, Michael B., et al. "Stochastic gene expression in a single cell." Science 297.5584 (2002): 1183-1186.). In this method two constructs are created that both drive expression of a fluorescent protein using the same promoter, RBS, and terminator. One of these reporter constructs uses YFP and the other CFP. This dual reporter system is what allows the investigator to differentiate between the extrinsic factors of noise, which should affect both constructs equally, and the intrinsic factors, which will result in a difference in the ratio of CFP: YFP fluorescence. These constructs are then integrated (notebook link here) into specific sites on the genome and the fluorescence output measured using fluorescent imaging. | |
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| − | <div class=" | + | <p><(IMAGE HERE: On drive) |
| − | < | + | Schematic of dCas9/CRISPR system. gRNAs targeting the promoter region of the gene of interest will guide dCas9 binding. Bound dCas9 sterically hinders RNAP and transcription factors from binding and promoting transcription. |
| − | + | Figure taken from: Qi, Lei S., et al. "Repurposing CRISPR as an RNA-guided platform for sequence-specific control of gene expression." Cell 152.5 (2013): 1173-1183./p> | |
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| − | + | <p>Once individual cell measurements have been taken for both CFP and YFP expression using confocal microscopy, the intrinsic noise measurements can be calculated (link to John’s part about this) and further analyzed. | |
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| − | + | In addition to characterizing the noise of promoters in iGEM, we contributed additional tools for manipulating their expression. CRISPR/Cas9 has been used extensively in synthetic biology, both inside and out of iGEM. In particular, new functionalizations of the Cas9 protein that remove its catalytic nuclease domain while retaining its DNA-binding activity have allowed for novel methods in molecular biology. This catalytically inactive variant of Cas9, known as dCas9, can be used to repress gene expression by targeting the promoter region of a gene of interest. This repression is mediated by the CRISPR/Cas9 complex binding to the promoter region and can block RNAP binding or prevent transcriptional elongation. All of our gRNAs prevent RNAP binding and initiation of transcription. | |
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| − | + | (IMAGE HERE: On drive) | |
| − | + | Schematic of dCas9/CRISPR system. gRNAs targeting the promoter region of the gene of interest will guide dCas9 binding. Bound dCas9 sterically hinders RNAP and transcription factors from binding and promoting transcription. | |
| − | + | Figure taken from: Qi, Lei S., et al. "Repurposing CRISPR as an RNA-guided platform for sequence-specific control of gene expression." Cell 152.5 (2013): 1173-1183. | |
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| − | + | We created a codon-optimized dCas9 variant for expression in E. coli that, when used with an appropriate gRNA, reduced observed gene expression by 97%. In addition to making both a dCas9 coding region (BBa_K1795000), and a dCas9 operon for constitutive expression (BBa_K1795001), we also contribute 12 gRNAs that target commonly used promoters in iGEM, and a scrambled gRNA to be used as a negative control. | |
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| − | + | We believe that our contributions to iGEM 2015 will not only open the door for more noise-related iGEM projects in the future, but will allow for more sophisticated synthetic gene regulatory network design both through the additional promoter characterization we have performed and the availability of new negative regulators of gene expression. | |
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| + | <div class="project-details"> | ||
| + | <span class="icon-close"><i class="pe-7s-close-circle"></i></span> | ||
| + | <div class="container"> | ||
| + | <div class="project-title"> | ||
| + | <p class "h2WM">dCas9s</p> | ||
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| − | + | <p><span>Detail</span>2</p> | |
| − | + | <p><span>Detail</span>3</p> | |
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| − | + | <br> | |
| − | < | + | <p>text</p> |
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| + | </div> | ||
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| + | <img alt="..." src="assets/img/rubik_background2.jpg"/> | ||
| + | </div> | ||
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| + | <div class="project-image"> | ||
| + | <img alt="..." src="assets/img/rubik_background2.jpg"/> | ||
| + | </div> | ||
| + | </div> | ||
| + | <div class="col-md-6"> | ||
| + | <div class="project-image"> | ||
| + | <img alt="..." src="assets/img/rubik_background2.jpg"/> | ||
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| − | + | <div class="col-md-4"> | |
| + | <div class="project-text"> | ||
| + | <p><span>Detail</span>1</p> | ||
| + | <p><span>Detail</span>2</p> | ||
| + | <p><span>Detail</span>3</p> | ||
| + | <p><span>Detail</span>4</p> | ||
| + | <br> | ||
| + | <p>text</p> | ||
| + | <p>text</p> | ||
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| + | <img alt="..." src="assets/img/rubik_background2.jpg"/> | ||
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| + | <div class="project-image"> | ||
| + | <img alt="..." src="assets/img/rubik_background2.jpg"/> | ||
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| + | <div class="project-image"> | ||
| + | <img alt="..." src="assets/img/rubik_background2.jpg"/> | ||
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| + | <div class="project-title"> | ||
| + | <p class "h2WM">XFPs Under Various Promoters</p> | ||
| + | </div> | ||
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| + | <div class="col-md-4"> | ||
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| + | </div> | ||
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| + | <div class="col-md-4"> | ||
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| + | <p><span>Detail</span>1</p> | ||
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Revision as of 20:21, 17 September 2015
Who we are section. Despite the extensive characterization of the average strength of the promoters available on the Biobrick registry, very few have information pertaining to the variability in their expression. This variability, also commonly referred to as stochasticity or noise, in gene expression can be split into two components: extrinsic and intrinsic noise. Extrinsic factors, like differing RNA polymerase concentrations and nucleotide availability, affect transcription equally within the cell, regardless of what cis-regulatory elements drive transcription of the genes in question. Intrinsic components, like DNA-protein binding kinetics, are promoter-specific contributions to noise. Our project aims to tease apart the extrinsic and intrinsic components of gene expression noise, and characterize the noise inherent to commonly used promoters in synthetic biology.
Original work done by the Elowitz lab at the California Institute of Technology investigated stochasticity in gene expression at the single cell level using a dual-reporter fluorescent system (Elowitz, Michael B., et al. "Stochastic gene expression in a single cell." Science 297.5584 (2002): 1183-1186.). In this method two constructs are created that both drive expression of a fluorescent protein using the same promoter, RBS, and terminator. One of these reporter constructs uses YFP and the other CFP. This dual reporter system is what allows the investigator to differentiate between the extrinsic factors of noise, which should affect both constructs equally, and the intrinsic factors, which will result in a difference in the ratio of CFP: YFP fluorescence. These constructs are then integrated (notebook link here) into specific sites on the genome and the fluorescence output measured using fluorescent imaging.
<(IMAGE HERE: On drive)
Schematic of dCas9/CRISPR system. gRNAs targeting the promoter region of the gene of interest will guide dCas9 binding. Bound dCas9 sterically hinders RNAP and transcription factors from binding and promoting transcription.
Figure taken from: Qi, Lei S., et al. "Repurposing CRISPR as an RNA-guided platform for sequence-specific control of gene expression." Cell 152.5 (2013): 1173-1183./p>
Once individual cell measurements have been taken for both CFP and YFP expression using confocal microscopy, the intrinsic noise measurements can be calculated (link to John’s part about this) and further analyzed.
In addition to characterizing the noise of promoters in iGEM, we contributed additional tools for manipulating their expression. CRISPR/Cas9 has been used extensively in synthetic biology, both inside and out of iGEM. In particular, new functionalizations of the Cas9 protein that remove its catalytic nuclease domain while retaining its DNA-binding activity have allowed for novel methods in molecular biology. This catalytically inactive variant of Cas9, known as dCas9, can be used to repress gene expression by targeting the promoter region of a gene of interest. This repression is mediated by the CRISPR/Cas9 complex binding to the promoter region and can block RNAP binding or prevent transcriptional elongation. All of our gRNAs prevent RNAP binding and initiation of transcription.
(IMAGE HERE: On drive)
Schematic of dCas9/CRISPR system. gRNAs targeting the promoter region of the gene of interest will guide dCas9 binding. Bound dCas9 sterically hinders RNAP and transcription factors from binding and promoting transcription.
Figure taken from: Qi, Lei S., et al. "Repurposing CRISPR as an RNA-guided platform for sequence-specific control of gene expression." Cell 152.5 (2013): 1173-1183.
We created a codon-optimized dCas9 variant for expression in E. coli that, when used with an appropriate gRNA, reduced observed gene expression by 97%. In addition to making both a dCas9 coding region (BBa_K1795000), and a dCas9 operon for constitutive expression (BBa_K1795001), we also contribute 12 gRNAs that target commonly used promoters in iGEM, and a scrambled gRNA to be used as a negative control.
We believe that our contributions to iGEM 2015 will not only open the door for more noise-related iGEM projects in the future, but will allow for more sophisticated synthetic gene regulatory network design both through the additional promoter characterization we have performed and the availability of new negative regulators of gene expression.
Integrator Suites Detail1 Detail2 Detail3 Detail4 text text Antibiotic Operons Detail1 Detail2 Detail3 Detail4 text text dCas9s Detail1 Detail2 Detail3 Detail4 text text gRNAs Detail1 Detail2 Detail3 Detail4 text text XFPs Under Various Promoters Detail1 Detail2 Detail3 Detail4 text text G^2 Detail1 Detail2 Detail3 Detail4 text text
