User:Anthony Lazzaro / SANDBOX
Fooling around with columns
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right column |
Fooling around with colums to make modelling sexy
left column for construct 1 |
right column for construct 2 |
Modelling Dump
Previous work
Overall our modelling for this project will take the form of
[math]\displaystyle{ \frac{dFP}{dt}=k(t)-\delta_{FP}[FP] }[/math]
- k : Function of Temperature. k is based on the promoter used as promoters take time to turn on.
- dFP : Function of System. May be considered to be a function of temperature as proteins may degrade at high temperatures.
- FP : The particular fluorescent protein employed e.g. GFP, DsRed, etc.
Two graphs of k vs. time (special pt is ko.) and [FP] vs. time key point is [FP]ss
- Our major problem at the moment is estimating the errors involved with our fluorometer and experimental procedures, including the use of pipettes; we hope to address these through calibration curves.
For each experiment we will do the following
- Calibration curve to determine error in fluorometer
- Decay Experiment @ varying temperatures
- Plug together to find transient response and k
- Find these parameters as a function of temperature(T)
Construct Specific Modelling
Modelled by 2006 Imperial Team, as part of their prey-sensing module of the molecular predation oscillator:
Test construct modelling & general derivation.
Parts page.
An operating/working version is quoted on the parts registry as T9002 - Link to MIT Parts Registry
The major problem with last year's derivation is that they assumed LuxR concentration to be constant and they didn't look into the co-operativity of the Plux Promoter e.g. the threshold of quorum.
- LuxR concentration:
LuxR will be constituitively expressed in our system, this means that the older our system is the more LuxR present and so the less sensitive our system will be to the amount of AHL around.
We can model this by having a initial condition or history of our system in addition to last year's path way.
[math]\displaystyle{ [LuxR]_{0}\; at\; t=t_{0} }[/math]
[math]\displaystyle{ LuxR+AHL\rightarrow A }[/math]
[math]\displaystyle{ A+P\leftarrow\rightarrow\;PA\;\rightarrow\;GFP }[/math]
[math]\displaystyle{ \frac{d[LuxR]}{dt}=k-d_{LuxR}[LuxR]-k_{1}[LuxR][AHL]+k_{2}[A] }[/math]
We will first consider the concentration of LuxR to be constant as per last year. Following this we will consider the history of the system and so the initial concentration of LuxR when AHL is detected.
- Cooperativity of Plux Promoter:
We do not know what the cooperativity of the Plux Promoter is and in effect we do not know what exactly the threshold of our system will be.
[math]\displaystyle{ \frac{d[GFP]}{dt}=\frac{X^a}{1+X^a} }[/math]
[math]\displaystyle{ X=[LuxR][AHL]\;complex }[/math]
[math]\displaystyle{ a\gt 1 }[/math] : initial gradient is zero and we see a step response
[math]\displaystyle{ a=1 }[/math] : response similar to first order eg. no threshold visible we have to define
[math]\displaystyle{ a\lt 1 }[/math] : initial gradient is infinite // to y-axis and mabye we get a step response ???? (is this true)
The threshold for biofilm detection, via AHL quorum sensing molecule is approximately 0.1nM.
Feedback from Matty
Overview of modelling this construct:
- Experiment 1 : Get Data - k vs. [AHL]
- Analysis 1 : Determine whether minimum [AHL] neded to get visible level is below target concentration [AHL]t = 0.1nM
- Experiment 1 : Get Data - k vs. [LuxR]
- Analysis 2 : Determine how age of system affects its sensitivity
Breakdown of specific sections:
Experiment 1:
- Determine constant LuxR concentrations to be used
- Determine Po? (may not be possible)
- Determine value of rate constants in below derivation
- Determine Visible GFP level in terms of Fluoresence
- Convert this level into a concentration
- Determine error associated with this concentration
- For constant luxR concentration determine range of AHL concentrations
- For each AHL concentration record transient resonse esp. Steady State Value (this is the only real value we want) and time taken to reach steady state.
- Protocols said they can Get us either , k vs. [AHL] or [GFP]ss vs. [AHL] for both [LuxR] will be a constant.
Analysis 1:
- We have determine the Menten Kinetics Equations describing our pathway excluding cooperativity to give us insight into what's going on:
[math]\displaystyle{ \frac{d[GFP]}{dt}=k_{5}\left\{\frac{[AHL][LuxR][P]_{0}}{K+[AHL][LuxR]}\right\}-\delta_{GFP}[GFP] }[/math]
- plot steady state Value of GFP concentration [GFP] vs. concentration of AHL
- Draw [GFP] level indicicative of Minimum visible concentration
- Steady state value is equal to k/delta , using this we can find alpha by comparing to a family of curves
- [math]\displaystyle{ k=\frac{([AHL][LuxR])^\alpha}{1+([AHL][LuxR])^\alpha} }[/math]
- [math]\displaystyle{ k=\frac{([AHL][LuxR])^\alpha}{1+([AHL][LuxR])^\alpha} }[/math]
- With this plot we can also find the minimum [AHL] needed for a visible [GFP]
- Compare this with desired value
Experiment 2:
- We have not considered this yet
Analysis 2:
- We have not considered this yet
Considerations
- Modelled deterministically; possibility for additional stochastic modelling.
- Degradation term in model lacks dilution term - look into amending the model to incorporate dilution of specific molecule due to cell growth (dilution)
- HRP system is employed as amplifier of low-level signal (where signal-to-noise ration is high)- amplification here probably amplifies the noise, leading to possible false positives for biofilm presence.
- A potential issue with the experiment is regarding using pTet as the promoter for LuxR expression. It may be necessary to add a gene for TetR expression to ensure control over this promoter. Issue of sensitivity control...
Diffusion coefficient of HSL in water - 4.9*10-6 Daq cm2/s
Diffusion coefficient is approximately half in biofilms
[1]
Case1
Case 1 : Both initial concentrations of LuxR and AHl are controllled
[math]\displaystyle{ [A]=K_{\alpha}[AHL]_{0}[LuxR]_{0} }[/math]
[math]\displaystyle{ [AP]=\frac{K_{\alpha}K_{\beta}[AHL]_{0}[LuxR]_{0}[P]_{0}}{1+K_{\alpha}K_{\beta}[AHL]_{0}[LuxR]_{0}}
}[/math]
[math]\displaystyle{ R_{y}(x)=\frac{[AP]}{[P]_{0}}=\frac{K_{\alpha}K_{\beta}xy}{1+K_{\alpha}K_{\beta}xy} }[/math]
[math]\displaystyle{ R_{y}(x)=1-\frac{1}{1+K_{\alpha}K_{\beta}xy} }[/math]
[math]\displaystyle{ R_{y}'(x)=\frac{K_{\alpha}K_{\beta}y}{\left(1+K_{\alpha}K_{\beta}xy\right)^2} }[/math]
Case2
Case 3 : Only y is controlled
[math]\displaystyle{ x=[AHL]_{0}=[AHL]+[A] }[/math]
[math]\displaystyle{ [A]=x-[AHL] }[/math]
but [math]\displaystyle{ [A]=K_{\alpha}[AHL]y }[/math]
therefore [math]\displaystyle{ x-[AHL]=K_{\alpha}y }[/math]
therefore [math]\displaystyle{ [AHL]=\frac{x}{1+K_{\alpha}y} }[/math]
[math]\displaystyle{ [A]=K_{\alpha}\left(\frac{xy}{1+K_{\alpha}y}\right) }[/math]
Now [math]\displaystyle{ Ry(x)=\frac{K_{\alpha}K_{\beta}xy}{1+yK_{\alpha}+K_{\alpha}K_{\beta}xy} }[/math]
Construct 1 : Intro
With the chemical pathway below for construct 1 we can make form some initial equations about the system.
- Picture of pathway for construct from Jerry
Our aim in modelling Infector Detector is to determine the concentration of biofilm we can detect such that we report a visible signal. Therefore we want to relate the GFP concentration to the concentration of AHL. Starting that the rate of change in GFP concentration:
[math]\displaystyle{ \frac{d[GFP]}{dt}=k_{6}[AP]-\delta_{GFP}[GFP] }[/math]
Aussume : [AP] reaches a constant level
Reason : Treat 1st formation of AP complex as a black box - it just reaches steady state.
[math]\displaystyle{ \therefore\frac{d[AP]}{dt}=0=k_{4}[A][P]-k_{5}[AP] }[/math]
we can infer that [math]\displaystyle{ [AP]=\frac{k_{4}}{k_{5}}[A][P] }[/math]
Assume : Conservation of Plux Promoters Reason : no damage to Promoters will occour eg. no DNA damage due to old age or cell defence mechanisms attacking the DNA
[math]\displaystyle{ [P]_{0}=[P]+[AP] }[/math] [math]\displaystyle{ Insert formula here }[/math]
Construct 1 : Case 1 (Previously called case 4)
Construct 2 : Intro
Construct 2 : Case1
Case 1 : Both initial concentrations of LuxR and AHL are controllled
[math]\displaystyle{ \displaystyle[A]=K_{\alpha}[AHL]_{0}[LuxR]_{0} }[/math]
[math]\displaystyle{ [AP]=\frac{K_{\alpha}K_{\beta}[AHL]_{0}[LuxR]_{0}[P]_{0}}{1+K_{\alpha}K_{\beta}[AHL]_{0}[LuxR]_{0}}
}[/math]
[math]\displaystyle{ R_{y}(x)=\frac{[AP]}{[P]_{0}}=\frac{K_{\alpha}K_{\beta}xy}{1+K_{\alpha}K_{\beta}xy} }[/math]
[math]\displaystyle{ R_{y}(x)=1-\frac{1}{1+K_{\alpha}K_{\beta}xy} }[/math]
[math]\displaystyle{ R_{y}'(x)=\frac{K_{\alpha}K_{\beta}y}{\left(1+K_{\alpha}K_{\beta}xy\right)^2} }[/math]
Construct 2 : Case 2
Jerry Has this in his sandbox
Construct 2 : Case3
Case 3 : Only y is controlled
[math]\displaystyle{ x=[AHL]_{0}=[AHL]+[A] }[/math]
[math]\displaystyle{ [A]=x-[AHL] }[/math]
but [math]\displaystyle{ [A]=K_{\alpha}[AHL]y }[/math]
therefore [math]\displaystyle{ x-[AHL]=K_{\alpha}y }[/math]
therefore [math]\displaystyle{ [AHL]=\frac{x}{1+K_{\alpha}y} }[/math]
[math]\displaystyle{ [A]=K_{\alpha}\left(\frac{xy}{1+K_{\alpha}y}\right) }[/math]
Now [math]\displaystyle{ Ry(x)=\frac{K_{\alpha}K_{\beta}xy}{1+yK_{\alpha}+K_{\alpha}K_{\beta}xy} }[/math]
Construct 2 : Case 4(Previously called case 5)
Construct 2 : Case 5(Previously called case 6)
Milestones for PR on week basis
- Motif
- Tshirt / Logo / Photo : Finalise Defn of Wiki / Russell Peters
- Slide Layout : Finalise Tshirt / Logo / Photo
- Contact Tom Millar
- Drinks
- Champange reception
Imperial's 2007 iGEM Project Definition
VesoCops - Imperial College iGEM 2007 Team ** Work in Progress We're making VesoCop!!! **
The Imperial College iGEM 2007 team consists of ten undergraduate bioengineering and bioscience students. This year, we are engineering VesoCops, biological systems that report the presence of nasty bacteria. Under the Cell-Free Intelligence (CFI), we have two divisions. First, a surveillance team called Cell By Date that determines when food is spoilt more accurately than printed sell by dates. It exploits the thermal dependence of the rate of expression of a simple reporter system. The second division consists of an undercover team - Infector Detector, which detects biofilms that are antibiotic-resistant and a major source of infection in hospitals. This system makes use of Lux quorum sensing to eavesdrop on the communication between biofilm-forming bacteria.
Our contributions to the synthetic biology community will be the characterization of Cell-Free Chassis, the common platform on which Cell By Date and Infector Detector will be built. The cell-free approach is particularly useful for VesoCops to operate in the food and medical industries. We believe this new chassis will unlock fresh potential in simple constructs. Our project strategy is based on the Engineering Cycle, of which we have completed specification and design of the systems. We are starting on modelling and implementation and we aim to test our final constructs in the new chassis. By the end of the summer, the VesoCops will be combat-ready.
The Story:
We approach synthetic biology with a view of making bacteria help us. The media is rife with stories of Synthetic Biology being a threat as it could make the next super weapon and how bacteria are bad and make us sick. We want bacteria that serve us, to inspire confidence in Synthetic biology, and that protect us from these daily threats to show that bacteria can be well behaved. The idea of to protect & serve leads us to the idea of a cop , a bactocop of you will.
The Project:
BactoCops, Imperial College’s iGEM 2007 project, delivers a new breed of grime fighting officers. The current state of affairs is that only the run of the mill BactoCops are in operation, the make up the BAPD is you will. These BactoCops can’t do a lot because they use E.Coli as a chassis – they can’t be near open wounds or near our food for example. We are focusing on bringing a new type of agency to the BactoCop world consisting of SuperBactocops – we call it the CIA : the Cell Free Intelligence Agency. This new agency has unbelievable potential and to demonstrate this we have two amazing teams. Firstly, a surveillance team called Cell By Date that determines when food is spoilt more accurately than printed sell by dates. It exploits the thermal dependence of the rate of expression of a simple reporter system. Our second team goes undercover, codename - Infector Detector, it detects biofilms that are antibiotic-resistant and a major source of infection in hospitals. This system makes use of Lux quorum sensing to eavesdrop on the communication between biofilm-forming bacteria.
Our contributions to the synthetic biology community will be the characterization of Cell-Free Chassis, the common platform on which Cell By Date and Infector Detector will be built. The cell-free approach is particularly useful for BactoCops to operate in the food and medical industries. This is because living, replicating engineered bacteria pose major health risks. We believe this new chassis will unlock fresh potential in simple constructs.
The Progress:
Our project strategy is based on the Engineering Cycle, of which we have completed specification and design of the systems. We are starting on modelling and implementation and we aim to test our final constructs in the new chassis. By the end of the summer, the BactoCops will be combat-ready.
Re-Revised Project dEscription corrections:
1. Remove BactoCops
2. Make Biofilm Detector Picture look more medical
My Project Description Corrections:
1. Story needs to be re-written it paints syn bioin a very negative light
2. Cell by date doesn't report the presence of nasty bacteria
3. BactoCops is misleading because we are not using bacteria
Possible way forward is to extend the RoboCop / VesoCop Idea
Potentials for Motifs
- Mr.Bean
- James Bond
- Dr.Who
- Austin Powers
- Sherlock Homes
- Robin Hood
- Alice in Wunderland
- The Queen
- MI6
- Scotland Yard
- Inspector Morse
- The Bill
- Bobbies
- Red Phone Box
- The Avengers
- Red Bus
- Royal Guards
- Bad Teeth
- Repressed Women
- The Beetles
- Oasis
- Spice Girls
- David Beckham
- Monty Python
- Billy Conelly
- Beer
- Drunkedness
- The InVesible Man
Mr. Bean
James Bond
We'll be Q-Branch
1. Bond as human get new gadget which is our project cell by date / infector detector
2. Bond is a cell : he goes through transformation and becomes a super agent
Project Description:
Projects are missions
1. Cell by Date :
vehicle sounds like vesicle
James Bond 007 : Licence to Glow
Vesper Vesicle - Bond's no. 57 on the bang list.
Pussy Galore - Lipids Galore
Octopussy - Spherical Pussy - Pleasure from all angles
Revised VesoCop Story
- Back Story - how VesoCop came to be
- VesoCop in action - Project Definition
The Story: Current state of affairs is that syn. Bio has made tremendous progress in terms of making Bacteria Do wonderful things for us protecting us in Variety of situations, they behave like the police men around us they are if you will BactoCops. But these bactocops can't do everything, with E.Coli as a Chassis they are ineffective in certain situation. There is a need now for a new breed of BactoCop that can go to these places, further than any BactoCop before him : we can him VesoCop The Project: The Progress:
- Potential as a motif - Look forward to slide layout / presentation / Logo / Tshirt Design
Austin Veso Story
- Feedback from Group on Austin Veso:
- Jerry likes big chicks
- Teeth need changing - make them whiter less crooked
- Colar needs fixing
- Consider 3/4 view
- Text is too bland - make it in crazy 60s theme
- Back Story - how Austin Veso came to be
- Austin Veso in action - Project Definition
The Story:
Synthetic Biology has amde awe inspiring Progress to date : it has helped to produce a malaria vacine and by the the looks of previous iGEM it will improve our lives in many other ways(Need more wow! milestones here). We feel that we can contribute to this amazing movement through the exploration of Cell Free Chasis. In Looking into Cell Free Chassis we think we've come up with something special we call him Veso Powers: International Bag Of Lipids
The Project:
Veso Powers: International Bag of Lipids is the ultimate spy, using his cell free mojo he can do amazing things. Check out two incredible missions that Veso Powers will be able to carry out by the end of summerof after he has completed our rigerous trainging programme in the ways of the Mojo at our super secret HQ in london.
Click here to find out more about how Austin Veso came to be (link to Austin Veso Back Story Page)
Mission 1: Thermal Steakout
Veso Powers' First mission involves our food. Using his special Cell By Date ability he can determine when food is spoilt more accurately than printed sell by dates. Veso Powers Cell By Date ability exploits the thermal dependence of the rate of expression of a simple reporter system.
Mission 2: A lot of Biofilm's Penthouse
Austin Veso Second Mission is to go undercover, using his Infector Detector ability. With this ability Veso Powers can detect biofilm that are antibiotic-resistant and a major source of infection in hospitals. The Infector Detector ability system makes use of Lux quorum sensing to eavesdrop on the communication between biofilm-forming bacteria.
Through Veso Powers our contributions to the synthetic biology community will be the characterization of Cell-Free Chassis, the common platform on which Cell By Date and Infector Detector will be built. The cell-free approach is particularly useful for Veso Powers to operate in the food and medical industries. We believe this new chassis will unlock fresh potential in simple constructs.
The Progress:
Our project strategy is based on the Engineering Cycle, of which we have completed specification and design of the systems. We are starting on modelling and implementation and we aim to test our final constructs in the new chassis. By the end of the summer, Veso Powers will have his mojo in full swing and will be mission ready - Yeah Baby !.
- Potential as a motif - Look forward to slide layout / presentation / Logo / Tshirt Design
Sherlock Veso Story
- Back Story - how VesoCop came to be
- VesoCop in action - Project Definition
The Story:
Current state of affairs is that syn. Bio has made tremendous progress in terms of making Bacteria Do wonderful things for us protecting us in Variety of situations, they behave like the police men around us they are if you will BactoCops. But these bactocops can't do everything, with E.Coli as a Chassis they are ineffective in certain situation. There is a need now for a new breed of BactoCop that can go to these places, further than any BactoCop before him : we can him VesoCop
The Project:
The Progress:
- Potential as a motif - Look forward to slide layout / presentation / Logo / Tshirt Design
Pictures:
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text below picture
Download Link :
Anchoring
Citations for PubMed
Links
Internal : internal
External : ign
Time Stamp
Anthony Lazzaro 11:23, 12 July 2007 (EDT)
Google specific search
Search Term site :openwetware.org
Well Characterised Part in Registry:
Recievers:
BBa_F2620 :
- Input: 3OC6HCL
- Output: Pops
Summary of Brainstorming 18th July:
Hrp has promise as a black box feedback loop mechanism
- Application Thermoregulation
- General application to a system that needs feedback loop - duh!
Hrp has promise as a very specific switch
Other Promising Ideas:
Lucas: Bacteria that move away from a source
- Could expand to bacteria that move away or towards a chemical source & incorporate feedback loop seen in signals
- Possible conflict with chemotaxis (?) from last year need to check could reuse there parts if no conflict
Density flow receptor:
Not only detect presence of bacteria but also how much of it there is a particular location
eg.how much dust here compared to here
- Need some kind of measurement device or quorum sensing set up (so more stuff more cells more reporter)
Uses for Hrp System: (Blood testing)
Immediate blood-test results can mean the difference between life and death in medical situations such as poisonings and infectious diseases. In many cases, by the time the test results are analyzed and a diagnosis made, the patient is in critical condition or beyond treatment
Blood poisoning is an illness due to an infectious agent or its toxin spreading through the bloodstream. The presence of bacteria in the blood is called bacteremia.
Short bursts of low levels of bacteria in the blood usually do not cause problems. For example, mild bacteremia typically occurs during a dental cleaning or when brushing your teeth. Your body's immune system fights off these bacteria.
If bacteria persist in the blood, however, they may cause sepsis, a serious, life-threatening condition.
- Slovenia has already covered this what other blood test could we do ?
20th July
Further Brainstorming for new ideas:
All my ideas have been rejected so far
Avenues to explore for new ideas:
1.Pre-2006 iGEMs
- 2005:
2.Registry 3.New Parts in Papers (start with reviews)
Focus on Adhesion:
1.Easy Application
-Make Bacteria Bind to something when told to do so
- E. coli MC1061 synthesize type I pili encoded by the fim (fimbria) operon, which bind to
mammalian surface carbohydrates [2]
- We could use this to simply bind bacteria to carbohydrates when the operon is expressed
(eg. simple promoter activation)
- 'The ability of enteropathogenic Escherichia coli (EPEC) to form attaching and effacing intestinal lesions is a major characteristic of EPEC pathogenesis' a group has identified a chromosomal gene (eae, for E. coli attaching and effacing) that is necessary for this activity.[3]
- Anderson JC, Clarke EJ, Arkin AP, and Voigt CA. Environmentally controlled invasion of cancer cells by engineered bacteria. J Mol Biol. 2006 Jan 27;355(4):619-27. DOI:10.1016/j.jmb.2005.10.076 |
- Jerse AE, Yu J, Tall BD, and Kaper JB. A genetic locus of enteropathogenic Escherichia coli necessary for the production of attaching and effacing lesions on tissue culture cells. Proc Natl Acad Sci U S A. 1990 Oct;87(20):7839-43. DOI:10.1073/pnas.87.20.7839 |
2.Technical Use
-Determine how many bacteria are attached to target
3.Real World Application
-Determine A certain concentraion of a species on a surf
4.Modular Real World Application
Focus on Biofilm:
1.Easy Application
Secrete Biofilm when inducer given:
- Chemical Control of Biofilm Production [taken from MIT 2006 Wiki] :
- Oxindolyl-L-alanine inhibits, in a dose-dependent manner, indole production and biofilm formation by strain S17-1 grown in Luria-Bertani (LB) medium. Supplementation with indole at physiologically relevant concentrations restores biofilm formation by strain S17-1 in the presence of oxindolyl-L-alanine and by mutant strain E. coli 3714 (S17-1 tnaA::Tn5) in LB medium
- http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=14569285&dopt=Abstract
- could we try to get this mutant e. coli 3714 strain?
- if you can find the strain here: http://cgsc.biology.yale.edu/cgsc.html we can easily get it.
- Here are 2 more articles on the mutant indole-negative e. coli strain 3714
- I hope that we can get mutant strain 3714 -- (or make our own mutant) -- what do you guys think about e. coli biofilm and cell-cell signaling systems/applications?? anyways, take a look...
2.Technical Use
- Apparantly biofilm production is initiated when bacteria adhese to a surface through a CPX signalling pathway the genes encoding for this pathway have been found.[2]
- Otto K and Silhavy TJ. Surface sensing and adhesion of Escherichia coli controlled by the Cpx-signaling pathway. Proc Natl Acad Sci U S A. 2002 Feb 19;99(4):2287-92. DOI:10.1073/pnas.042521699 |
3.Real World Application
4.Modular Real World Application
22nd July Last Minute Susan Time
Major Focus on Biofilm
1.Easy Application
Secrete Biofilm when inducer given:
- Chemical Control of Biofilm Production [taken from MIT 2006 Wiki] :
- Oxindolyl-L-alanine inhibits, in a dose-dependent manner, indole production and biofilm formation by strain S17-1 grown in Luria-Bertani (LB) medium. Supplementation with indole at physiologically relevant concentrations restores biofilm formation by strain S17-1 in the presence of oxindolyl-L-alanine and by mutant strain E. coli 3714 (S17-1 tnaA::Tn5) in LB mediumlink. Problem with this is that we need to get this mutant e. coli 3714 strain?
- 2-Component System Control:
- Apparantly biofilm production is initiated when bacteria adhese to a surface through a CPX signalling pathway the genes encoding for this pathway have been found.[5]
2.Technical Use
3.Real World Application
4.Modular Real World Application
Papers:
- Martino PD, Fursy R, Bret L, Sundararaju B, and Phillips RS. Indole can act as an extracellular signal to regulate biofilm formation of Escherichia coli and other indole-producing bacteria. Can J Microbiol. 2003 Jul;49(7):443-9. DOI:10.1139/w03-056 |
- Di Martino P, Merieau A, Phillips R, Orange N, and Hulen C. Isolation of an Escherichia coil strain mutant unable to form biofilm on polystyrene and to adhere to human pneumocyte cells: involvement of tryptophanase. Can J Microbiol. 2002 Feb;48(2):132-7. DOI:10.1139/w02-001 |
- Otto K and Silhavy TJ. Surface sensing and adhesion of Escherichia coli controlled by the Cpx-signaling pathway. Proc Natl Acad Sci U S A. 2002 Feb 19;99(4):2287-92. DOI:10.1073/pnas.042521699 |
Quick note on Noise reduction in iGEM
I think one way to reduce noise & cross talk in iGEM projects is to have 'comm channels'
'Channels' used by the chassis should be chara