Team:Bielefeld-Germany/Results/Characterization/K389016
From 2010.igem.org
(→Different possible inducers) |
(→Transfer function of K389016) |
||
Line 75: | Line 75: | ||
==Transfer function of <partinfo>K389016</partinfo>== | ==Transfer function of <partinfo>K389016</partinfo>== | ||
- | The data for the transfer function was measured and analyzed as [[Team:Bielefeld-Germany/Results/Characterization/K389016#Data analysis for BBa_K389016 | described below]]. The data was fitted with a | + | The data for the transfer function was measured and analyzed as [[Team:Bielefeld-Germany/Results/Characterization/K389016#Data analysis for BBa_K389016 | described below]]. Nelson ''et al'' suggests using a dose response function and fitting it with a logistical equation for the data analysis of receptor systems ([http://www.nature.com/nature/journal/v416/n6877/abs/nature726.html Nelson ''et al.'', 2002]). The data was fitted with a function of the form |
Line 111: | Line 111: | ||
So the fully induced VirA/G signaling system has a 2.6 fold increased expression compared to the uninduced system. The Hill coefficient is > 1, so a positive cooperation can be observed ([http://www.sciencedirect.com/science?_ob=ArticleURL&_udi=B6WMD-4V42JG5-1&_user=10&_rdoc=1&_fmt=&_orig=search&_sort=d&_docanchor=&view=c&_acct=C000050221&_version=1&_urlVersion=0&_userid=10&md5=b6431553217aca1129c5b441f4b78425 D Chu ''et al.'', 2009]). The [http://partsregistry.org/Switch_Point switch point] of the system is at about 25 µM, so this is the concentration at which the device output is 50% of the maximum output. | So the fully induced VirA/G signaling system has a 2.6 fold increased expression compared to the uninduced system. The Hill coefficient is > 1, so a positive cooperation can be observed ([http://www.sciencedirect.com/science?_ob=ArticleURL&_udi=B6WMD-4V42JG5-1&_user=10&_rdoc=1&_fmt=&_orig=search&_sort=d&_docanchor=&view=c&_acct=C000050221&_version=1&_urlVersion=0&_userid=10&md5=b6431553217aca1129c5b441f4b78425 D Chu ''et al.'', 2009]). The [http://partsregistry.org/Switch_Point switch point] of the system is at about 25 µM, so this is the concentration at which the device output is 50% of the maximum output. | ||
- | |||
==Data analysis for <partinfo>K389016</partinfo>== | ==Data analysis for <partinfo>K389016</partinfo>== |
Revision as of 18:36, 27 October 2010
Contents |
Characterization of BBa_K389016
On this page the experiments and results that lead to the BBa_K389016 characterization data presented on our characterization page are shown in detail.
Growth functions and mRFP expression for BBa_K389016
To characterize this part we performed several cultivations with different concentrations of acetosyringone as inducer and measured the fluorescence emitted by mRFP ( Protocol). We used Escherichia Coli DB3.1 carrying the pSB1C3::K389016 plasmid. Even without inducer the bacteria, carrying the plasmid showed decelerated growth. In addition acetosyringone affected the growthrates (we used a stocksolution of 20 mM acetosyringone solved in 10 % (v/v) DMSO). Growth curves, averaged specific growth rates and doubling times are shown below. It can be observed, that E. coli carrying the pSB1C3::K389016 plasmid growths nearly linear.
The specific growth rates µ and doubling times td are calculated with the OD600 and following formulas:
E. coli DB3.1 | µ / h^{-1} | t_{d} / h |
---|---|---|
without plasmid | 0.35 | 1.98 |
carrying K389016 | 0.27 | 2.57 |
carrying K389016 with 150 µM acetosyringone | 0.25 | 2.77 |
carrying K389016 with 1000 µM acetosyringone | 0.23 | 3.01 |
Exemplary induction curves with the fluorescence normalized to OD600 are shown in Fig.2. We observed a basal Transcription, but the Induction with acetosyringone is undoubtedly. The detailed data analysis and transfer function is described below.
Transfer function of BBa_K389016
The data for the transfer function was measured and analyzed as described below. Nelson et al suggests using a dose response function and fitting it with a logistical equation for the data analysis of receptor systems (Nelson et al., 2002). The data was fitted with a function of the form
with the Hill coefficient p, the bottom asymptote A1, the top asymptote A2 and the switch point log(x_{0}). Figure 3 shows the measured normalized specific production rates q_{P,n} (eq. 8) plotted against the logarithm of the concentration of the inductor acetosyringone in µM. The fit has an R^{2} = 0.99.
The important data from the transfer function is summarized in table 2:
Parameter | Value |
---|---|
Hill coefficient | 1.673 |
Switch point | 26.5 µM |
Top asymptote | 2.62 |
So the fully induced VirA/G signaling system has a 2.6 fold increased expression compared to the uninduced system. The Hill coefficient is > 1, so a positive cooperation can be observed (D Chu et al., 2009). The switch point of the system is at about 25 µM, so this is the concentration at which the device output is 50% of the maximum output.
Data analysis for BBa_K389016
The data analysis is made in three steps. First step is the processing of the fluorescence raw data gained by the fluorescence plate reader for every sample:
In the second step the RFU_{corrected} of every sample is plotted against the cultivation time it was drawn. The data is fitted by an exponential fit of the following style:
The accumulation of mRFP in the cells is always exponential. A typical fitted product accumulation curve is shown below:
The product accumulation in a cultivation can be described as:
with the amount of product P, the cell count X and the specific production rate q_{P}.
RFU is commensurate to the concentration of mRFP (P) and the OD_{600} is commensurate to the cell count (X) ( Canton and Labno, 2004):
With these assumptions it is possible to calculate the specific production rate of mRFP q_{P} in the third step: the specific production rate for every sample of a cultivation is calculated by the derivation of the exponential fit line which describes the accumulation of product in the culture (dRFU/dt) and the measured OD_{600} data:
The specific production rates q_{P} of all samples of all cultivations made with a specific inductor concentration c are averaged and normalized against the specific production rate of the uninduced system q_{P,0}:
This normalized specific production rate we calculated is commensurate to relative promotor units (RPU) which is commensurate to PoPS (polymerase per seconds) (Canton and Labno, 2004; Pasotti et al., 2009):
Plasmid conformation analysis
A plasmid conformation analysis for the BioBrick BBa_K389016 in pSB1C3 was performed by the PlasmidFactory by Capillary Gel Electrophoresis (CGE). The chromatogram is shown in fig. 5 and the results in tab. 3. The data shows a high percentage of covalently closed circular (ccc) plasmid DNA. This is the biological active shape of plasmids so a high percentage of ccc plasmid DNA indicates a high quality of plasmid DNA (PlasmidFactory).
Conformation | Ratio / % |
---|---|
ccc monomer | 91.2 |
ccc dimer | 3.2 |
oc | 5.6 |
Different possible inducers
A list of testet possible inducers for a VirA/G signaling system is shown in tab. 4. These inducers where testet as a mix. The specific production rate of mRFP q_{P} measured as described above for the mix did not significantly differ from the synthesis rate of the uninduced system (t-Test, p < 0.005). So none of the possible inducers listet in tab. 4 induce the VirA/G signaling system significantly in the measured concentration range. In tab. 4 the chemical structures of the testet possible inducers are shown, too. Acetosyringone is also in tab. 4 although it was not testet in the inducer mix to show the chemical similarity of the testet possible inducers to the natural inducer of the VirA/G signaling system.
For more information about the possible inducers click here.
Inducer | Concentration / µM | Chemical structure |
---|---|---|
Capsaicin | 200 | |
Dopamine | 200 | |
Homovanillic acid | 200 | |
3-Methoxytyramine | 200 | |
Acetosyringone | 200 |
References
Canton B and Labno A (2004) Data processing of Part BBa_F2620.
Chu D, Zabet NR, Mitavskiy B (2009) Models of transcription factor binding: Sensitivity of activation functions to model assumptions, J Theor Biol 257(3):419-429.
Pasotti L, Zucca S, Del Fabbro E (2009) Characterization experiment on BBa_J23100, BBa_J23101, BBa_J23118, http://partsregistry.org/Part:BBa_J23101:Experience.