Team:Toronto/Modeling

From 2013.igem.org

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Regulatory System Mapping
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The system map was created to help the team to select genes relevant to biofilm response regulation as targets for characterizing overexpression strains and deletion strains.
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Species such as proteins, mRNAs, csRNAs, genes, metabolites, etc. are nodes in the map; interactions between the species are represented by lines between them. Arrows indicate positive influence (the product of an enzyme, a ligand binding to a DNA-bound transcriptional repressor, etc.), while lines ending in a single bar indicates negative influence (an enzyme breaking down a signal molecule, a csRNA interfering with transcription, etc.).
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Environmental stimuli that are external perturbations to the represented system influence a large chain on interactions, some amplificatory, some repressive; hence one use of this diagram can be to overall track which phenotypes a perturbation may affect. Likewise, such a map can also suggest the effect of a gene deletion on the transmission of an environmental stimuli through the regulatory network.
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The current version of the system map was made by referring to ECOCYC entries, extracting the regulatory influence data from the entries for each node, and connecting the influences.
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NOTE: This map was created solely for picking interesting genes, no annotations that make references to ECOCYC were made.
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The CellDesigner model can be found here: (Insert link here)
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A .pdf containing the graphic representation can be found here: (Insert link here)
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<h7><font color=black><p style = "text-align:center; font-size:35px;"><b>BIOFILM ENGINEERING</b></p><br/>
<h7><font color=black><p style = "text-align:center; font-size:35px;"><b>BIOFILM ENGINEERING</b></p><br/>
<p style = "font-size:17px;"><b><u>What are biofilms?</u></b><br/>
<p style = "font-size:17px;"><b><u>What are biofilms?</u></b><br/>

Revision as of 23:28, 27 September 2013

Regulatory System Mapping The system map was created to help the team to select genes relevant to biofilm response regulation as targets for characterizing overexpression strains and deletion strains. Species such as proteins, mRNAs, csRNAs, genes, metabolites, etc. are nodes in the map; interactions between the species are represented by lines between them. Arrows indicate positive influence (the product of an enzyme, a ligand binding to a DNA-bound transcriptional repressor, etc.), while lines ending in a single bar indicates negative influence (an enzyme breaking down a signal molecule, a csRNA interfering with transcription, etc.). Environmental stimuli that are external perturbations to the represented system influence a large chain on interactions, some amplificatory, some repressive; hence one use of this diagram can be to overall track which phenotypes a perturbation may affect. Likewise, such a map can also suggest the effect of a gene deletion on the transmission of an environmental stimuli through the regulatory network. The current version of the system map was made by referring to ECOCYC entries, extracting the regulatory influence data from the entries for each node, and connecting the influences. NOTE: This map was created solely for picking interesting genes, no annotations that make references to ECOCYC were made. The CellDesigner model can be found here: (Insert link here) A .pdf containing the graphic representation can be found here: (Insert link here)

BIOFILM ENGINEERING


What are biofilms?
Biofilms are communities of microbes where the cells are in an aggregate on a surface, bound together by extra-membrane material made of a mixture of specialized carbohydrates and extra-membrane proteins. The special environment in the biofilm allows cells to survive harsher environments.

What is the “biofilm response”?
Bacteria cells can exist in multiple physiological states, which are caused by environmental factors. Common ones include heat shock, nutrient (carbohydrate or amino acid) starvation, metal micronutrient starvation, etc.
Gene expression in each of these physiological states is mediated by the changing the sigma factor involved in transcript synthesis. Each sigma factor has its own consensus sequence; the sigma factor on the RNA polymerase recognizes and binds to promoter regions. When a sigma factor is active, its effect is to shift which fractions of the genome are preferably expressed, because of the different promoter recognition consensus sequences. The sigma factor that is involved in the stationary phase (I.E. no motility, no reproduction) of E. coli strains is the σS factor. It directs the expression of genes necessary to induce biofilm and aggregation behavior are a subset of those genes whose promoters are recognized by the σSfactor.

Modulating and Measuring the Biofilm Response
The focus of our project is to characterize the physical and chemical manifestations of the biofilm response in cells where key genes in the biofilm response (for both structural and regulatory aspects) have been either overexpressed or deleted. The numerous assays that need to be done drove us to develop a standardized battery of assays, so that the cell can be studied as an entire system, as opposed to the methods used in past literature that only measured the effects of genetic engineering on just one manifestation.

Defect in the Biobrick Paradigm
The Biobrick paradigm is that gene parts are necessarily additive, due to the mechanics of the Biobrick Assembly method. Consequently, apart from by using “additive” exotic methods such as RNAi to disrupt gene expression to achieve functional gene silencing, gene deletions from a genome (negative “additive” modifications) simply cannot be submitted to the Gene Parts Registry. Modulating and Measuring the Biofilm Response
The focus of our project is to characterize the physical and chemical manifestations of the biofilm response in cells where key genes in the biofilm response (for both structural and regulatory aspects) have been either overexpressed or deleted. The numerous assays that need to be done drove us to develop a standardized battery of assays, so that the cell can be studied as an entire system, as opposed to the methods used in past literature that only measured the effects of genetic engineering on just one manifestation.

Defect in the Biobrick Paradigm
The Biobrick paradigm is that gene parts are necessarily additive, due to the mechanics of the Biobrick Assembly method. Consequently, apart from by using “additive” exotic methods such as RNAi to disrupt gene expression to achieve functional gene silencing, gene deletions from a genome (negative “additive” modifications) simply cannot be submitted to the Gene Parts Registry. Modulating and Measuring the Biofilm Response
The focus of our project is to characterize the physical and chemical manifestations of the biofilm response in cells where key genes in the biofilm response (for both structural and regulatory aspects) have been either overexpressed or deleted. The numerous assays that need to be done drove us to develop a standardized battery of assays, so that the cell can be studied as an entire system, as opposed to the methods used in past literature that only measured the effects of genetic engineering on just one manifestation.

Defect in the Biobrick Paradigm
The Biobrick paradigm is that gene parts are necessarily additive, due to the mechanics of the Biobrick Assembly method. Consequently, apart from by using “additive” exotic methods such as RNAi to disrupt gene expression to achieve functional gene silencing, gene deletions from a genome (negative “additive” modifications) simply cannot be submitted to the Gene Parts Registry. Modulating and Measuring the Biofilm Response
The focus of our project is to characterize the physical and chemical manifestations of the biofilm response in cells where key genes in the biofilm response (for both structural and regulatory aspects) have been either overexpressed or deleted. The numerous assays that need to be done drove us to develop a standardized battery of assays, so that the cell can be studied as an entire system, as opposed to the methods used in past literature that only measured the effects of genetic engineering on just one manifestation.

Defect in the Biobrick Paradigm
The Biobrick paradigm is that gene parts are necessarily additive, due to the mechanics of the Biobrick Assembly method. Consequently, apart from by using “additive” exotic methods such as RNAi to disrupt gene expression to achieve functional gene silencing, gene deletions from a genome (negative “additive” modifications) simply cannot be submitted to the Gene Parts Registry. Modulating and Measuring the Biofilm Response
The focus of our project is to characterize the physical and chemical manifestations of the biofilm response in cells where key genes in the biofilm response (for both structural and regulatory aspects) have been either overexpressed or deleted. The numerous assays that need to be done drove us to develop a standardized battery of assays, so that the cell can be studied as an entire system, as opposed to the methods used in past literature that only measured the effects of genetic engineering on just one manifestation.

Defect in the Biobrick Paradigm
The Biobrick paradigm is that gene parts are necessarily additive, due to the mechanics of the Biobrick Assembly method. Consequently, apart from by using “additive” exotic methods such as RNAi to disrupt gene expression to achieve functional gene silencing, gene deletions from a genome (negative “additive” modifications) simply cannot be submitted to the Gene Parts Registry.
The spectacular success of the metabolic engineering field eminently shows the defect in this paradigm. Successful engineering of model organisms is based on using chemical kinetics and metabolic networks, where metabolite flux is directed by both gene up-regulation and deletion. (Insert examples here...)
Since deletions from a cell's genome is another means to engineering the cell as a system, we have also characterized the biofilm response of a set of knockout E. coli. Unfortunately, these systems cannot be submitted to the biobrick registry because they do not conform to the Biobrick paradigm, an issue we hope that the iGEM competition can address.