Front Page

Purpose

Audience

Audience Characteristics
Information Preferences
Computer Specifications
Web Experience

Experiment Planning

Objectives

To roughly characterise the emulsion process
- Prepare emulsions from three suspensions:
  - POPC/dodecane
  - DOPC/dodecane
  - Span80/dodecane
- Estimate volume of phase-separated aqueous solution at set intervals
  - Intervals of 30 minutes
  - Create five sample containers with fifths of the total aqueous emulsion volume under oil
- Collect 5μl emulsion samples at set intervals for observation in the microscope
  - Intervals of 30 minutes
  - Use light microscopy
  - Know image volume
  - Photograph random population samples (how many samples for significance?)
- Characterise mixing process
  - Measure RPM of mixer
  - Ensure all mixing is done at the same RPM
  - Calculate surface area of glass container
  - Estimate shear force (how????)
- Relate shear force and time to vesicle size and emulsion efficiency
To evaluate the efficiency of the interface transfer
- Measure vesicle density in emulsion
- Measure vesicle density in emulsion after centrifugation over the interface
- Measure vesicle density in solution
- Compare size of vesicles in all three measurements above
To test Span80 emulsion on POPC and DOPC interface
- Form interfaces with POPC/dodecane and DOPC/dodecane
- Add Span80 emulsion to interface according to protocol
To compare performance between suspensions with and without overnight incubation
To assess the effect of circulation by 23 gauge syringe needle
- Take a sample without circulation, and look at it under the microscope.
- Take a sample with circulation, and compare to that without.
Perform a rough test on gene expression within vesicles
- Carry out only two experiments, using POPC/dodecane 10ml emulsion, with and without interface
- Select construct to use and DNA concentration
- Prepare solution for encapsulation
- If induction is necessary, account for it in the process

Preparations

Desiccations

6x POPC 10ml
4x DOPC 10ml

Suspensions

3x POPC/dodecane 10ml
2x DOPC/dodecane 10ml
1x Span80/dodecane 10ml

Emulsions

POPC/GFP
DOPC/GFP
Span80/GFP
POPC/Cell Extract
POPC/GFP 2ml
DOPC/GFP 2ml

Interfaces

POPC/dodecane for POPC/GFP
POPC/dodecane for Span80/GFP
POPC/dodecane for POPC/Cell Extract
POPC/dodecane for DOPC/GFP
DOPC/dodecane for DOPC/GFP
DOPC/dodecane for Span80/GFP
DOPC/dodecane for POPC/GFP

No interface

POPC/GFP
DOPC/GFP
POPC/Cell Extract
Span80/GFP

Samples to be taken

From solution

POPC no interface
POPC with interface
DOPC no interface
DOPC with interface
POPC no interface CELL EXTRACT
POPC with interface CELL EXTRACT
Span80 no interface
POPC:Span80
DOPC:Span80
POPC:DOPC
DOPC:POPC

From emulsion (every 30mins)

POPC/dodecane
DOPC/dodecane
Span80/dodecane
POPC/Cell Extract
POPC/GFP 2ml
DOPC/GFP 2ml

Tomorrow

Plan more of the experiments
Plan schedule and prepare for the next day

The day after

Run the cell extract experiment (one day protocol) as a pilot - not worrying about whether expression occurs before or after encapsulation
Maybe run some of the characterisation experiments

Notes

Decide which method to continue improving
experiment on osmolarity
Improve emulsion step
- Test different surfaces, volumes, speeds, and durations
- Collect samples at regular intervals to assess emulsion process
calculate the volume of sampling area
set up lab notebook template
- experiment aim
- protocol modifications
- samples taken
- data sought
- results
- comments
propose shear calculations

Vesicle References

Reviews

All Medline abstracts: PubMed | HubMed

Cell Free Extracts

All Medline abstracts: PubMed | HubMed

Gene Expression

All Medline abstracts: PubMed | HubMed

Modelling

All Medline abstracts: PubMed | HubMed

Vesicle Formation Techniques

All Medline abstracts: PubMed | HubMed

Membrane Proteins

All Medline abstracts: PubMed | HubMed

Permeability and Diffusion

All Medline abstracts: PubMed | HubMed

Stability

All Medline abstracts: PubMed | HubMed

Measurements

All Medline abstracts: PubMed | HubMed

Applications

All Medline abstracts: PubMed | HubMed

Priority

All Medline abstracts: PubMed | HubMed

Other Intersting Bits

All Medline abstracts: PubMed | HubMed

Suff removed from the vesicles page

The following chart cross-references the input variables to the dependent quantities. Each cell links to the protocol for that experiment. The number in each cell corresponds to the priority of that experiment.

	Lifespan	Rate of Protein Synthesis	PoPS Effect	Membrane Traffic
Temperature	1	3
Media	2	4
Parts
Piping

Vesicle Preparation

The protocol is based on A vesicle bioreactor as a step toward an artificial cell assembly by Vincent Noireaux and Albert Libchaber.

Materials

Equipment

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..
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Chemicals and reagents

E.coli Extract
- A buffer that maintains pH between 7.4 and 8
- Crude extract [ribosomes (70S), tRNA, translation initiation, elongation, and termination factors]
- RNA polymerase
- 20 amino acids between 10 and 100 μM
- 4 ribonucleotides ATP, GTP, UTP, and CTP between 0.2 and 2 mM
- 8–15 mM magnesium salt
- 100–250 mM potassium salt
- An ATP regenerating system
- Sulfhydryl compounds (2-mercaptoethanol or DTT)
Feeding Solution
- Same components as E.coli extract except the crude extract, the RNA polymerase and the kinase for the ATP regenerating system.
To reduce osmotic pressure effect
- Dilute extract one time in feeding solution (50% extract–50% feeding)
- Supplement feeding solution with 4% extract

Supplies

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..
..
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Procedure

Hydration/Swelling method

Electroformation

Use cells from Turner's project (about 10microlitres of 0.5 mg/ml each time)
Clean electroformation cell
Deposit lipid in chloroform onto the electrode.
Put under vacuum for about three hours.
Add buffer to the cell (usually contains 100mM sucrose, about 3ml)
Pass current through the electrodes (10Hz, sinsoidal wave. Slowly increase volatage from 0 to 1V over the cause of 10 min)
Take between 1 and 4 hours to grow.

Mineral oil method

Dissolve egg lecithin in mineral oil at 5 mg/ml
Heat solution at 50°C, and sonicate in a bath
Incubate overnight at room temperature
Collect 10–20 μl of the clear supernatant in a tube
In another tube, add 1 μl of the E.coli cell extract to 200 μl of mineral oil with dissolved phospholipids
Gently vortex for a few seconds to obtain an extract-oil emulsion
Place 50 μl of the emulsion on top of the feeding solution to form a monolayer of phospholipids at the interphase
Centrifuge to form vesicles of 1 to a few tens of μm in diameter
Recover the vesicles in the feeding solution

Total Time Required

Quantities Varied

Notes

Reaction to be carried out at room temperature (25°C)
Use BSA–rhodamine isothiocyanate and fluorescein-12-UTP to test vesicle leakage
Selective permeability of the vesicles is obtained with the α-hemolysin toxin from S. aureus

List of Experiments

Lifespan as a function of Temperature

Materials

Equipment

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Chemicals and reagents

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Supplies

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Procedure

Place 10 μl of in vitro expression system in 7 tubes
Incubate each tube in 4, 10, 15, 20, 25, 30, or 37°C
Measure GFP expression using photomultiplier tube at one hour intervals up to 5h
Plot a graph of GFP expression against time at each temperature

Total Time Required

Quantities Varied

Notes

Lifespan as a function of Media

Materials

Equipment

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..
..
..

Chemicals and reagents

..
..
..
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Supplies

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..
..
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Procedure

..
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Total Time Required

Quantities Varied

Notes

Protein Synthesis as a function of Temperature

Materials

Equipment

..
..
..
..

Chemicals and reagents

..
..
..
..

Supplies

..
..
..
..

Procedure

..
..
..
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Total Time Required

Quantities Varied

Notes

Protein Synthesis as a function of Media

Materials

Equipment

..
..
..
..

Chemicals and reagents

..
..
..
..

Supplies

..
..
..
..

Procedure

..
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Total Time Required

Quantities Varied

Notes

Experiments

Testing In Vitro system

1. Do both S30 and S12 extract on the K12 strain at 25°C.
2. Add E.coli and T7 RNA polymerases separately to each cell extract.
3. Make a reporter gene construct for GFP using pLux and T7 promoters respectively.
4. Mix gene contructs with S30 cell extracts.
*E.coli RNAP + pLux
*T7 RNAP + T7 promoter
5. Repeat step 4 with S12 cell extracts.
6. Measure fluorescence intensity at hourly intervals for 5 hours.
7. Determine the optimal translational activity of S30 and S12.
8. Choose which ever is best for strain K12.
9. Carry out subsequent experiments with the appropriate cell extract.

Testing Temperature Dependence

1. Carry out steps 2 to 6 at 4°C, 10°C, 15°C, 20°C, 25°C, 30°C, and 37°C; at pH 7.
2. Measure fluorescence intensity at hourly intervals for 5 hours.

Testing pH Dependence

1. Carry out steps 2 to 6 at pH 2, 4, 6, 7, 8, 10, 12; at 25°C.
2. Measure fluorescence intensity at hourly intervals for 5 hours.

Testing Lifespan of the system

Testing In Veso System

1. Follow the protocol for vesicle preparation in the "Design" section.
2. Repeat steps 2 to 6 above using only the optimal cell extract solution.

Testing for membrane trafficking and pore formation

1. Insert fluorescent markers BSA-rhodamine and UTP-fluorescein into the cell extract before vesicle formation.
2. Follow protocol for vesicle formation.
3. Observe fluorescence patterns in the feeding solution and vesicles.

Testing Temperature Dependence

1. Carry out steps 2 to 6 at 4°C, 10°C, 15°C, 20°C, 25°C, 30°C, and 37°C; at pH 7.
2. Measure fluorescence intensity at hourly intervals for 5 hours.

Testing pH Dependence

1. Carry out steps 2 to 6 at pH 2, 4, 6, 7, 8, 10, 12; at 25°C.
2. Measure fluorescence intensity at hourly intervals for 5 hours.

Testing Lifespan of the system

DNA Constructs

Generic Constructs

pTet GFP

Registry part: BBa_I13522
Comments: Untagged GFP behind a constitutive promoter.
DNA Available in the registry
for use in CBD

T7 promoter

Registry part: BBa_J34814
T7 promoter sequence: gaatttaatacgactcactatagggaga
Comments: T7 Promoter to be used qith t7 polymerase BBa_J34811
DNA still in planning
for use in CBD
pT7 sequence from Ambion:

Arabinose -> pBad = GFP

Registry part: BBa_J5528
Comments: Similar to part J5527 where mRFP is replaced with GFP
DNA Available in the registry
for use in CBD

The Biofilm Saboteur

Summary

Biofilms are a huge problem in medicine and in industry. The dispersal of biofilms has long posed a problem to biologists, chemists, and engineers. Recently, a paper[11] was published describing the use of an engineered bacteriophage that would also produce DspB, an enzyme that breaks down one of the major structural components of biofilm. However, it was pointed out that bacteriophages target very specific cells, which may not be present in the biofilm under consideration. Furthermore, bacteria often evolve defences against phages. Thus, although the phage technique has proven that the principle of infecting a biofilm is a good strategy to disperse it, it is far from becoming usable outside the tightly controlled lab environments.

This project proposes an alternative method of biofilm dispersal. In short, a bacteria will be modified to express DspB as a response to three input signals - quorum sensing, biofilm presence, and anaerobic conditions. These bacteria can then be sprayed over a biofilm, which they infiltrate, and disperse.

There are three major assumptions that may prove problematic in this proposal:

That the saboteur bacteria will be able to penetrate the biofilm
That the saboteur bacteria will survive in the biofilm
That the quorum sensing mechanism will work

A list of references can be found at the bottom, that may be able to help addressing these concerns.

The Hrp system may be used with its three inputs: biofilm detection, quorum sensing, and anaerobic conditions sensing (inverted in V input). By inverting the anaerobic conditions sensing, a basal level (the 10% leakage of the V-inhibition) of DspB will be produced. As soon as anaerobic conditions are reached, V-expression is inhibited (the inversion) which kicks the Hrp system into full swing.

Resources

Imperial College contacts:

Web pages:

Biofilms Online
Biofilm Hypertextbook
- With a very rich references section.

Biofilms and your health...

Biofilms are responsible for diseases such as otitis media, the most common acute ear infection in children in the U.S. Other diseases in which biofilms play a role include bacterial endocarditis (infection of the inner surface of the heart and its valves), cystic fibrosis (a chronic disorder resulting in increased susceptibility to serious lung infections), and Legionnaire's disease (an acute respiratory infection resulting from the aspiration of clumps of Legionnella biofilms detached from air and water heating/cooling and distribution systems).
Biofilms may be responsible for a wide variety of nosocomial (hospital-acquired) infections. Sources of biofilm-related infections can include the surfaces of catheters, medical implants, wound dressings, or other types of medical devices.
Biofilms are highly resistant to antibiotics. Consequently, very high and/or long-term doses are often required to eradicate biofilm-related infections.
Biofilms happily colonize many household surfaces, including toilets, sinks, countertops, and cutting boards in the kitchen and bath. Poor disinfection practices and ineffective cleaning products may increase the incidence of illnesses associated with pathogenic organisms associated with normal household activity.

Biofilms and industry...

Biofilms are responsible for billions of dollars in lost industrial productivity and both product and capital equipment damage each year. For example, biofilms are notorious for causing pipe plugging, corrosion and water contamination.
Biofilm contamination and fouling occurs in nearly every industrial water-based process, including water treatment and distribution, pulp and paper manufacturing, and the operation of cooling towers.

From Biofilms Online

Notes

The metabolism of cells is different at different depths within the biofilm. At the deepest level of a mature biofilm, anaerobic respiration may predominate.

Clusters of nitrite oxidizers crowd around distinct clusters of ammonia oxidizers (20, 29) (see references above). Thus, is the metabolic waste product of the ammonia oxidizers, nitrite, made available to the bacteria that can use it as a substrate for oxidation. The activities of these commingled species lead to the consumption of ammonia and oxygen near the biofilm surface and the simultaneous production and consumption of nitrite slightly below the biofilm surface.

Biofilm References

All Medline abstracts: PubMed | HubMed

Favourite Ideas

Detecting, collecting, and packaging of 'garbage'
Solar powered bacteria
characterisation of HRP part
UV sensitivity in the SOS gene initiating apoptosis (instead of DNA repair)
Use of HRP AND gate function: substrate present AND quorum, start collection. Third signal for full cell stops collection, and starts fluorescence.

Step 1: detection using biosensor leads to cell replication Step 2: as cells divide, quorum is reached Step 3: collection apparatus is built, and collection begins Step 4: the cell fills up, and is not able to collect anymore Step 5: the cell signals itself to stop collection, and begin fluorescence

Method for trapping the cells in a matrix in order to pass water through. What rate can water be passed through?

(maybe the HRP part can be used in the collector system above?)

What we should do regardless of choice:

in-vitro parts testing
chassis characterisation

HRP System Notes

When controlling R & S, use promoters with equal rates
HrpBOX is VERY specific
50 sigma54 systems in e.coli, and about 20 sigma54 regulators
use Suhail to find S and V interaction
Lon proteins degrade R
The stability (half-life) of R & S is not characterised
The response time is not characterised, but it is very fast
How strongly does V bind S? Are there any interfering factors?

Three 5 ml cultures of supplemented M9 medium and antibiotic (kanamycin, 20 µg/ml) were inoculated with single colonies from a freshly streaked plate of MG1655 containing <partinfo>BBa_T9002</partinfo>. One 5 ml culture was inoculated with a single colony from a freshly streaked plate of MG1655 containing a <partinfo>BBa_T9002</partinfo> mutant lacking a GFP expression device (see the stability section).
Cultures were grown in 17 mm test tubes for 15 hrs at 37°C with shaking at 70 rpm.
Cultures were diluted 1:1000 into 5.5 ml of fresh medium and grown to an OD600 of 0.15 under the same conditions as before. This growth took on average 4.25 hrs.
Twenty-four 200 µl aliquots of each of the cultures were transferred into a flat-bottomed 96 well plate (Cellstar Uclear bottom, Greiner).
2 µl of the stock concentrations of the cognate AHL, 3-oxohexanoyl-homoserine lactone (3OC₆HSL), was added to each well to yield 8 different final concentrations (0, 1E-10, 1E-9, 1E-8, 1E-7, 1E-6, 1E-5 and 1E-4 M). Three replicate wells were measured for each concentration of 3OC₆HSL. Three wells were each filled with 200 µl of medium to measure the absorbance background. Three further wells were each filled with 200 µl of the <partinfo>BBa_T9002</partinfo> mutant culture to measure fluorescent background.
The plate was incubated in a Wallac Victor3 multi-well fluorimeter (Perkin Elmer) at 37°C and assayed with an automatically repeating protocol of absorbance measurements (600 nm absorbance filter, 0.1 second counting time through 5 mm of fluid), fluorescence measurements (488 nm excitation filter, 525 nm emission filter, 0.5 seconds, CW lamp energy 12901 units), and shaking (1 mm, linear, normal speed, 5 seconds). Time between repeated measurements was 2 min and 21 s. Approximately 6 min elapsed between beginning addition of 3OC₆HSL to the wells and the first plate reader measurement. 3OC₆HSL was added in order of increasing concentration to minimize GFP synthesis during plate loading. Cells appear to grow exponentially for the duration of the plate reader measurement protocol (see Figure 2 for representative growth curves).
We repeated steps 1 through 6 on three separate days to obtain data for nine colonies from a single plate.
Data processing was used to calculate the GFP synthesis rate for each well and is described on the Data analysis page. The data for each colony tested was averaged across the three replicate wells. The mean for each colony was then averaged to obtain a global weighted mean. The contribution of each data point to the mean was weighted in inverse proportion to the square root of the uncertainty in the data point. The time-dependent input-output surface is shown above in Figure 3. Following an initial transient response, device output reached an approximate steady state.
The snapshot transfer function in Figure 1 is the 60 min time-slice from the surface shown in Figure 3 (highlighted as a heavy black line). Error bars in Figure 1 representing the 95% confidence interval for the global weighted mean are smaller than the data markers. At this time point, the output of the device ranges from a minimum of 0 to a maximum of 503 molecules GFP CFU^-1 s^-1. Characteristics of the snapshot transfer curve were defined relative to that maximum output.
The Input Swing is defined as the minimum range of measured inputs for which device output ranges from 5% to 95% of its maximum value.
The Switch Point is defined as the input level at which device output is 50% of the maximum output. This characteristic is calculated by linear interpolation between the measured data points. The uncertainty in the switch point was calculated by propagating the uncertainty in the measurement of the maximum output level through the switch point calculation.

Response Time

Two cultures, one of MG1655 bearing <partinfo>BBa_T9002</partinfo> and one of MG1655 bearing the <partinfo>BBa_T9002</partinfo> mutant lacking a GFP expression device (see stability section) were prepared as described in steps 1 – 3 of the transfer function protocol.
Six 200 µl aliquots of the <partinfo>BBa_T9002</partinfo> culture were transferred into a flat-bottom 96 well plate.
Three wells were each filled with 200 μl of medium to measure the absorbance background. Three further wells were each filled with 200 μl of the <partinfo>BBa_T9002</partinfo> mutant culture to measure fluorescent background. 3OC₆HSL was added to three of the wells containing the <partinfo>BBa_T9002</partinfo> culture to a final concentration of 1E-7 M.
The plate was incubated in a Wallac Victor3 multi-well fluorimeter at 37°C and assayed with an automatically repeating protocol of fluorescence measurements, absorbance measurements, and shaking (all as described in the transfer function protocol). Time between repeated measurements was 54 s.
Data processing is described on the Data analysis page. The short interval between measurements resulted in apparent noise in the calculated GFP synthesis rates. Thus, the time response data shown in Figure 1 had an additional processing step in which the raw fluorescence data was smoothed using MATLAB’s, rlowess smoothing filter across five time points. The same data, processed without the smoothing filter, is shown in Figure 2. In both Figure 1 and Figure 2, the error bars represent the 95% confidence interval for the mean.
The low-to-high (LH) response time of the device was parameterized by calculating the time taken for the output to rise to 50% and 90% of its maximum value. These times were calculated by linearly interpolating between the measured data values.

Specificity

Two cultures, one MG1655 bearing <partinfo>BBa_T9002</partinfo> and one of MG1655 bearing the <partinfo>BBa_T9002</partinfo> mutant lacking a GFP expression device (see stability section) were prepared as described in steps 1 – 3 of the transfer function section above. However, in this case the overnight cultures were diluted into 20 ml of fresh medium in a 200 ml flask and shaken at 220 rpm during growth.
Three of the eight AHL variants (see table below) were preloaded into a flat-bottom 96 well plate to eight different final concentrations (0, 1E-10, 1E-9, 1E-8, 1E-7, 1E-6, 1E-5 M, and 1E-4 M). Three wells were each filled with 200 μl of media to measure the absorbance background. Three further wells were filled with 200 µl of the mutant <partinfo>BBa_T9002</partinfo> culture to measure the fluorescent background.
Seventy-two 200 µl aliquots of the <partinfo>BBa_T9002</partinfo> culture were transferred to the plate. Three replicate wells were filled for each concentration of each AHL.
The plate was incubated in a Wallac Victor3 multi-well fluorimeter at 37°C and assayed with an automatically repeating protocol of absorbance measurements, fluorescence readings, and shaking (as described in the transfer function protocol). Time between repeated measurements was 2 min and 21 s.
Steps 1 through 4 were repeated once with three more of the AHL variants and again with the final two AHL variants. The time between repeated measurements was kept fixed in each case.
Data processing is described here. In Figure 1, snapshot transfer functions are plotted for each AHL variant at the 60 min time point similar to the transfer function experiment. The error bars represent the 95% confidence interval for the mean of the three replicate wells of each measurement.

Full Name	Molecule abbreviation	Species	Notes	Source	Images (from Sigma Aldrich)
Butanoyl-homoserine lactone	C₄HSL	P. aeruginosa		Sigma Aldrich (#09945)	File:Butryl-homoserine lactone.GIF
3-oxohexanoyl-homoserine lactone	3OC₆HSL	V. fischeri	Lux system signaling molecule	Sigma Aldrich (#K3007)	File:3-oxohexanoyl-homoserine lactone.GIF
Hexanoyl-homoserine lactone	C₆HSL	C. violaceum	Very similar to 3OC6HSL	Sigma Aldrich (#09926)	File:Hexanoyl-homoserine lactone.GIF
Heptanoyl-homoserine lactone	C₇HSL	E. psidii R. IBSBF 435T		Sigma Aldrich (#10939)	File:Heptanoyl-homoserine lactone.GIF
Octanoyl-homoserine lactone	C₈HSL	B. cepacia, V. fischeri		Sigma Aldrich (#10940)	File:Octanoyl-homoserine lactone.GIF
3-oxoctanoyl-homoserine lactone	3OC₈HSL	A. tumefaciens		Sigma Aldrich (#O1764)	File:3-Oxooctanoyl-L-homoserine lactone2.GIF
Decanoyl-homoserine lactone	C₁₀HSL	B. pseudomallei		Sigma Aldrich (#17248)	File:Decanoyl-homoserine lactone.GIF
Dodecanoyl-homoserine lactone	C₁₂HSL	Synthetic		Sigma Aldrich (#17247)	File:Dodecanoyl-homoserine lactone.GIF

Stability

A 5 ml culture of supplemented M9 medium and antibiotic (kanamycin, 20 µg/ml) was inoculated with a single colony of <partinfo>BBa_T9002</partinfo> from a fresh plate.
The culture was grown in a 17 mm test tube for 15 hrs at 37°C with shaking at 70 rpm.
The culture was diluted 1:400 into 5 ml of fresh medium and grown under identical conditions for a further 10 hrs. The culture was diluted 1:4096 into two identical 5 ml cultures. 3OC₆HSL was added to one of the cultures to an input level of 1E-7 M.
These two cultures were propagated in a similar manner with 1:400 and 1:4096 dilutions in the morning and evening respectively every day for 5 days.
Each day, following the overnight incubation of cultures, a sample of the overnight cultures was stored in a 20% glycerol solution at –80°C to allow later sequencing. Samples to be sequenced were streaked on LB plates containing kanamycin (20 µg/ml). Plasmid DNA from five colonies on each plate was purified using a Qiagen Spin Miniprep Kit (Qiagen). DNA was sequenced and analyzed as described earlier using standard primers internal and external to the receiver and reporter device (BBa_G00100, BBa_G00101, and G00602).
Each morning, a second culture was inoculated by a 1:400 dilution from the overnight culture for both the high and low input condition. These second cultures were grown in the absence of 3OC₆HSL for 8 hrs. This growth period diluted-out the accumulated GFP from the culture propagated in the presence of 3OC₆HSL before assaying performance.
Samples from both of the second copies were induced with a high input level of 3OC₆HSL (1E-7 M) at 37°C with shaking at 70 rpm for 45 min. Single-cell fluorescence measurements were carried out on a FACScan flow cytometer (Becton-Dickinson) with a 488 nm Argon excitation laser and 525 nm emission filter. During each flow-cytometer measurement, data was collected from 50,000 cells. 2 µl of Sphero fluorescent beads (0.87 µm ø, Spherotech) in 500 µl H₂O was used as a control for experiment-to-experiment variation of cytometer performance. FACScan data were analyzed using Cell Quest (Becton-Dickinson) and FlowJo (FlowJo).
Genetic stability is defined as the number of replication events until a mutant becomes fixed in the population. The performance stability of a device is defined as the number of replication events until the majority of the devices in the population have lost the ability to respond correctly to an input. Both the genetic and the performance stability were estimated from the FACS data shown in Figure 1 and genetic stability was confirmed by sequence analysis.

Feasibility Criteria

Level 1

Application driven
Sources of knowledge / research
reuse old knowledge
novel, no overlap with other iGEMs
project must be approves (Ethics, Safety)
scope - needs to be functional in 9 weeks

Level 2

Application has to be low cost
has to be portable
safe, no contamination
inspire confidence in synthetic biology
must have a contingency
use parts in registry
no heavy metals
no human testing
no quantum shift (big change)
keep to the status quo
base on a commercialised product
budget
equipment

Level 3

based on reliable, basic parts
max 3 components
well documented
easily modelled
limited to college grounds
restricted booking
easy learning curve

Level 4

well characterised biobricks and chassis
use PoPS

Tree Structure

Application driven
- Application has to be low cost
- has to be portable
- safe, no contamination
- inspire confidence in synthetic biology
- must have a contingency
Sources of knowledge / research
Reuse old knowledge
- use parts in registry
  - based on reliable, basic parts
    - well characterised biobricks and chassis
  - avoid composite systems
  - standards adherence
    - use PoPS
Novel and no overlap with past iGEMS
Project must be approved, Safety & Ethics
- no heavy metals
- no human testing
Scope - needs to be functional in 9 weeks
- no quantum shift (big change)
  - max 3 components
  - well documented
  - easily modelled
- keep to the status quo
- base on a commercialised product
- budget
- equipment
  - limited to college grounds
  - restricted booking
  - easy learning curve

User:Dirk Van Swaay/Sandbox

Front Page

Purpose

Audience

Experiment Planning

Tomorrow

The day after

Notes

Vesicle References

Reviews

Cell Free Extracts

Gene Expression

Modelling

Vesicle Formation Techniques

Membrane Proteins

Permeability and Diffusion

Stability

Measurements

Applications

Priority

Other Intersting Bits

Suff removed from the vesicles page

Vesicle Preparation

Materials

Equipment

Chemicals and reagents

Supplies

Procedure

Hydration/Swelling method

Electroformation

Mineral oil method

Total Time Required

Quantities Varied

Notes

List of Experiments

Lifespan as a function of Temperature

Materials

Equipment

Chemicals and reagents

Supplies

Procedure

Total Time Required

Quantities Varied

Notes

Lifespan as a function of Media

Materials

Equipment

Chemicals and reagents

Supplies

Procedure

Total Time Required

Quantities Varied

Notes

Protein Synthesis as a function of Temperature

Materials

Equipment

Chemicals and reagents

Supplies

Procedure

Total Time Required

Quantities Varied

Notes

Protein Synthesis as a function of Media

Materials

Equipment

Chemicals and reagents

Supplies

Procedure

Total Time Required

Quantities Varied

Notes

Experiments

Testing In Vitro system

Testing Temperature Dependence

Testing pH Dependence

Testing Lifespan of the system

Testing In Veso System

Testing for membrane trafficking and pore formation

Testing Temperature Dependence

Testing pH Dependence