Team:Groningen/Project/Transport
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# Made [http://spreadsheets.google.com/pub?key=t4gilzCbEaCFAvpEVWUE_zQ a Google Docs spreadsheet] of the wild-type line in figure 1B in [[Team:Groningen/Literature#Meng2004|Meng2004]], converting to units of concentration by using the data in Meng2004 and [http://gchelpdesk.ualberta.ca/CCDB/cgi-bin/STAT_NEW.cgi the CCDB] (assuming that the cells are resting). Here we disregarded the fact that the measurements were made by taking out 0.1mL samples, as this does not change the concentrations. Specifically (note that uptake is in nmol/mg): | # Made [http://spreadsheets.google.com/pub?key=t4gilzCbEaCFAvpEVWUE_zQ a Google Docs spreadsheet] of the wild-type line in figure 1B in [[Team:Groningen/Literature#Meng2004|Meng2004]], converting to units of concentration by using the data in Meng2004 and [http://gchelpdesk.ualberta.ca/CCDB/cgi-bin/STAT_NEW.cgi the CCDB] (assuming that the cells are resting). Here we disregarded the fact that the measurements were made by taking out 0.1mL samples, as this does not change the concentrations. Specifically (note that uptake is in nmol/mg): | ||
#* uptake<sub>total</sub> (nmol) = uptake · 8mg · 0.3 {{infoBox|The ratio between dry and wet weight is 0.3 (see the [http://gchelpdesk.ualberta.ca/CCDB/cgi-bin/STAT_NEW.cgi CCDB]).}} | #* uptake<sub>total</sub> (nmol) = uptake · 8mg · 0.3 {{infoBox|The ratio between dry and wet weight is 0.3 (see the [http://gchelpdesk.ualberta.ca/CCDB/cgi-bin/STAT_NEW.cgi CCDB]).}} | ||
- | #* As(III)<sub>ex</sub> (µM) = ( | + | #* As(III)<sub>ex</sub> (µM=nmol/mL) = (10nmol/mL · 1mL - uptake<sub>total</sub>) / (1.1-0.0073)mL {{infoBox|The total volume of the solution is 1.1mL and 0.0073mL is an estimate of the total volume of cells in the solution, see below.}} |
# Computed the Michaelis-Menten constants in Mathematica (see [http://igemgroningen.googlecode.com/svn/trunk/buoyant/Models/Meng2004%20Figure%201B.nb the Mathematica notebook in SVN]) using the method from [[Team:Groningen/Literature#Goudar1999|Goudar1999]] (a least squares fit of a closed-form solution of the differential equation). | # Computed the Michaelis-Menten constants in Mathematica (see [http://igemgroningen.googlecode.com/svn/trunk/buoyant/Models/Meng2004%20Figure%201B.nb the Mathematica notebook in SVN]) using the method from [[Team:Groningen/Literature#Goudar1999|Goudar1999]] (a least squares fit of a closed-form solution of the differential equation). | ||
# Normalized the V<sub>max</sub> parameter by the volume of the cells in suspension. The K parameter need not be changed, as it only depends on the reaction rate constants, not on the concentration of receptors. | # Normalized the V<sub>max</sub> parameter by the volume of the cells in suspension. The K parameter need not be changed, as it only depends on the reaction rate constants, not on the concentration of receptors. |
Revision as of 11:51, 11 August 2009
[http://2009.igem.org/Team:Groningen http://2009.igem.org/wiki/images/f/f1/Igemhomelogo.png]
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Introduction
We are trying to find suitable systems capable of isolating heavy metals from the environment. There are several different mechanisms to achieve such a thing. We examined 3 kinds:
- Metal transporters, that transport the metal from the environment (ie. wastewater) to the cytoplasm
- Uncoupled
- Coupled with 'helper' compounds
- Metal binding proteins in the periplasm
We will investigate severals systems, to find which are suitable for the final design. the following systems are under concideration.
- Copper/zinc uptake via HmtA
- heavy metal uptake coupled to citrate via efCitH bsCitM
- Arsenite uptake via GlpF
- Periplasmic accumulation of heavy metals via Mer Operon.
HmtA
![](/wiki/images/5/5b/Hmta.gif)
HmtA, heavy metal transporter A from Pseudomonas aeruginosa Q9I147 is a P-type ATPase importer. It mediates the uptake of Copper (Cu) and Zinc (Zn) and is functionally expressed in E.coli.
>gi|81857196|sp|Q9I147|Q9I147_PSEAE Probable cation-transporting P-type ATPase
Enzyme | Number of Sites |
---|---|
EcoRI | 0 |
XbaI | 0 |
NotI | 0 |
SpeI | 0 |
PstI | 2 |
Regulation of the Ars operon
The Ars operon contains three open reading frames. The first is ArsR, second ArsB and the last one is ArsC. Transcription is controlled by the ArsR repressor. All the genes lie in the same frame and there are no others genes between the ArsRBC genes in the E. coli k12. See for more information: [http://biocyc.org/ECOLI/NEW-IMAGE?type=GENE-IN-CHROM-BROWSER&object=EG12235 biocyc].
Missing information/To do
- Expression assesment
- Stability
- Level
- Functional assesment
- Uptake speed
- Affinity
- Electrolyte potential generating force
- Eliminate BioBrick restriction sites
Literature
Lewinson O., Lee A.T., Rees D.C. 2009. A P-type ATPase importer that discriminates between essential and toxic transition metals. PNAS. vol. 106, no. 12, p. 4677-4682. http://www.ncbi.nlm.nih.gov/pubmed/19264958 PMID: 19264958
Citrate coupled uptake
Citrate uptake coupled to heavy metals enables forcefeeding of the toxic compounds into the cell when citrate is the only carbound source available. This could be a very effecient strategy to accumelate vass ammounts of heavy metals. The current candidates are CitM from Bacilus subtilis and CitH form Enterococcus faecalis
Missing information/To Do
- Expression assesment
- Stability
- Level
- Functional assesment
- Uptake speed
- Affinity
- Electrolyte potential generating force
- Eliminate BioBrick restriction sites
Literature
Blancato, V.S., Magni, C. & Lolkema, J.S. Functional characterization and Me2+ ion specificity of a Ca2+–citrate transporter from Enterococcus faecalis. FEBS Journal 273, 5121-5130(2006). http://gbb.eldoc.ub.rug.nl/root/2006/FEBSJBlancato/ GBB
Bastiaan krom Citrate transporters of Bacilus subtilis PhD thesis. http://dissertations.ub.rug.nl/faculties/science/2002/b.p.krom/ Dissertation Groningen
Jessica B. Warner Regulation and expression of the metal citrate transporter CitM PhD thesis. http://dissertations.ub.rug.nl/faculties/science/2002/j.b.warner/ Dissertation Groningen
GlpF
Modelling
The import of As(III) via GlpF is modelled as a simple import reaction with Michaelis-Menten kinetics, in part because this makes it easy to specify in Simbiology, but also because we only have very high level data. To determine the needed constants we performed the following steps:
- Pasted figure 1B of Meng2004 in a drawing program and aligned/scaled the axes for easier reading of the lines.
- Made [http://spreadsheets.google.com/pub?key=t4gilzCbEaCFAvpEVWUE_zQ a Google Docs spreadsheet] of the wild-type line in figure 1B in Meng2004, converting to units of concentration by using the data in Meng2004 and [http://gchelpdesk.ualberta.ca/CCDB/cgi-bin/STAT_NEW.cgi the CCDB] (assuming that the cells are resting). Here we disregarded the fact that the measurements were made by taking out 0.1mL samples, as this does not change the concentrations. Specifically (note that uptake is in nmol/mg):
- uptaketotal (nmol) = uptake · 8mg · 0.3 The ratio between dry and wet weight is 0.3 (see the [http://gchelpdesk.ualberta.ca/CCDB/cgi-bin/STAT_NEW.cgi CCDB]).i
- As(III)ex (µM=nmol/mL) = (10nmol/mL · 1mL - uptaketotal) / (1.1-0.0073)mL The total volume of the solution is 1.1mL and 0.0073mL is an estimate of the total volume of cells in the solution, see below.i
- uptaketotal (nmol) = uptake · 8mg · 0.3
- Computed the Michaelis-Menten constants in Mathematica (see [http://igemgroningen.googlecode.com/svn/trunk/buoyant/Models/Meng2004%20Figure%201B.nb the Mathematica notebook in SVN]) using the method from Goudar1999 (a least squares fit of a closed-form solution of the differential equation).
- Normalized the Vmax parameter by the volume of the cells in suspension. The K parameter need not be changed, as it only depends on the reaction rate constants, not on the concentration of receptors.
The following allows a comparison with the data gotten from figure 1B from Meng2004.
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Loading graph...
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Missing information/To Do
- Expression assesment
- Stability
- Level
- Functional assesment
- Uptake speed
- Affinity
- Electrolyte potential generating force
- Eliminate BioBrick restriction sites
- What does the ars operon of our E. coli look like? Do we have both ArsA and ArsB? (And what about ArsR and ArsD?)
Literature
- Meng2004 (As(III) and Sb(III) Uptake by GlpF and Efflux by ArsB in Escherichia coli)
- Rosen2009 (Transport pathways for arsenic and selenium: A minireview)
MerR family
Periplasmic accumulation of heavy metals via Mer proteins enables the harvesting of heavy metals from the medium. By binding the cytosolic and periplasmic metals to metallothionein and transporting the metal-protein complex into the periplasm. The MerR family consists of different proteins for one specific metal. (ie. PbrR(Lead), CueR(Copper), ZntR(Zinc), MerR(Mercury), ArsR(Arsenic), CadR(Cadmium))
As the cells die after uptake of Mg (and induction of the Mer transporter) this system is not very well usable for our project. The dead cells will not produce the gas vesicles (it may be used however by having the gas vesicles consitutively expressed), thereby bouyancy may be a problem.
Missing information/To Do
- Expression assesment
- Stability
- Level
- Functional assesment
- Uptake speed
- Affinity
- Electrolyte potential generating force
- Eliminate BioBrick restriction sites
Literature
Kao, W., Huang, C. & Chang, J. Biosorption of nickel, chromium and zinc by MerP-expressing recombinant Escherichia coli. J. Hazard. Mater 158, 100-106(2008). http://www.ncbi.nlm.nih.gov/pubmed/18313216 PMID: 18313216
Pennella, M.A. & Giedroc, D.P. Structural determinants of metal selectivity in prokaryotic metal-responsive transcriptional regulators. Biometals 18, 413-428(2005).http://www.ncbi.nlm.nih.gov/pubmed/16158234 PMID: 16158234
Planning and requirements:
- Modelling:
- Import speed
- Amount
- Max
- Lab:
- HmtA
- Zn/Cu alone
- B-type ATPase (could be use if there is a ATP shortage?)
- CitM (probably not used)
- Divalent ions
- Citrate around
- Citrate can bind metals that are already bound.
- Measurements (both for the "normal" cell and the cell with overexpression of the transporter)
- Transporter, on/off mechanism, up to what concentration (in the cell) does it still have metal uptake.
- Measure concentration of metal. difference between begin and end concentrations of metal outside the cell.
- How fast does it transport metal in/out the cell.
- Set up tests with (initial) extracellular concentrations of about 1/3K (25% of Vmax), K (50% of Vmax), 3K (75% of Vmax) and 10mM (99.7% of Vmax, corresponding to extremely polluted water), and a control with no arsenic. Obviously, more tests is better. In general a desired fraction of Vmax at the initial concentration can be attained by using an initial concentration of x/(1-x) times K.
- Determine "final" (steady-state) concentration of As(III) in the solution and in the cells. (Concentration over time is even better!)
- This means that the total volume of the cells (and the solution) has to be determined. Possibly through looking at the dry weight (without arsenic!).
- By manipulating the equation for the derivative of As(III) in equilibrium, As(III) can be expressed as a function of As(III)ex (given the V and K constants). We can try to fill in the computed V and K constants for GlpF and then use a least squares fit to estimate the V and K constants for ArsB.
- NOTE: Interestingly Kostal2004 already did an experiment like this with cells that overexpressed ArsR. We're looking at analysing these results under the assumption that overexpressing ArsR only gives a constant factor more accumulation (for 1-100µM As(III)), but it would be very nice to do this ourselves for unmodified cells to determine whether this is indeed true (and to determine the factor).
- HmtA