Team:NTU-Singapore/Project/Prototype/Image

From 2009.igem.org

(Difference between revisions)
Line 146: Line 146:
And then finally we can determine an equation for rate of infrared signal, (assuming that intensity of infrared signal is directly proportional with the amount of bound-IFP-Biliverdin in the system).
And then finally we can determine an equation for rate of infrared signal, (assuming that intensity of infrared signal is directly proportional with the amount of bound-IFP-Biliverdin in the system).
-
[[Image:NTUifpsign.png|x50px]] based on the ratio of bound / activated to total [IFP] available: [[Image:NTUifpact.png|x50px]]
+
[[Image:NTUifpsig.png|x50px]] based on the ratio of bound / activated to total [IFP] available: [[Image:NTUifpact.png|x50px]]
 +
 
 +
 
=== Modelling & Simulation ===
=== Modelling & Simulation ===

Revision as of 00:14, 21 October 2009

Imaging Device



The Imaging device is also one of our featured parts.

As we have elaborated earlier in the Prototype Design section, the device consists of mainly pTet regulated expression of IFP & HO-1, which in turn generate a unique fluorescence signal in the infrared spectrum!


We are extremely pleased to report that we have successfully converted this novel reporter protein into a standard Biobrick! Let us now see how exactly the device works.

Abstract

As part of the imaging capability we want for our system, we have eschewed traditional reporter proteins like GFP or YFP and have identified a novel reporter protein, infrared fluorescent protein (IFP). A recent work by Xiaokun et. al. (Tsien Lab, UCSD) has shown successful mammalian expression of infrared fluorescent protein engineered from a bacterial phytochrome. Xiaokun et. al. have also expressed the infrared fluorescent protein in E. coli strain TOP10.


IFP is preferred for our system over other FPs such as GFP or YFP because it has a unique excitation and emission maxima. The wavelength range of IFP fits so well with the wavelength range of typical in vivo optical imaging in deep tissues of animals i.e. between 650 and 900 nm for excitation and emission maxima respectively. This is because this range of wavelength minimizes the absorbance by haemoglobin, water and lipids, as well as light-scattering.

Therefore, IFP is particularly suitable for our ideal system as we desire to locate the atherosclerotic plaque site without invasive procedures.


Background

Our pLaqUe Out! system must be capable of highlighting the atherosclerotic plaque site upon detection by the preceding sensing mechanism of nitric oxide sensing promoter (pNO). The first thing that came to our mind was the variety of known fluorescent proteins (FPs) such as GFP, RFP, YFP, CFP. However, since our ultimate environment for our pLaqUe Out! system is in vivo, we envisioned an ideal system that can express a novel reporter protein with properties suitable for in vivo optical imaging. IFP was chosen as a potential candidate.


The gene encoding IFP used in our expression system is essentially the gene for IFP1.4. Xiaokun et. al. have shown that IFP1.4 was obtained from the gene encoding IFP1.0 by saturation, random mutagenesis, and DNA shuffling; and it was shown to be about four times brighter than IFP1.0, with a relative brightness of 383%.


NTUifpspec.png



Fig 1. - Normalized excitation (blue) and emission (red) spectra for Infrared Fluorescent Protein


Overall, IFP has an excitation and emission maxima of 684 nm & 708 nm respectively; compare this with the excitation and emission maxima for other fluorescent proteins, which have not exceeded 598 and 655 nm respectively.


Mechanism

Infrared fluorescent protein is a monomeric protein engineered from a bacterial phytochrome of the species Deinococcus radiodurans.


This bacteriophytochrome incorporates biliverdin IXα (BV) as the chromophore. Biliverdin IXα is in fact a natural product of heme catabolism by the enzyme heme oxygenase-1 (HO-1). BV is essential because in a mouse experiment conducted by Xiaokun et. al., BV has been shown to increase the infrared fluorescence to a maximal fivefold 1 hour after BV injection in the mouse with exogenously added BV.

In a phone call made to Dr. Xiaokun Shu, we have also been told that BV helps to stabilize the infrared fluorescent protein. Hence, it is essential that we incorporate HO-1 into our system to generate biliverdin IXα.


Construct Design

As you recall, our ideal system is designed to be in a T-helper cell chassis. However, for the purpose of expression of the infrared fluorescent protein, we have used E. coli strain K12 as our bacterial expression system. In order to realize the expression system, we incorporate parts i.e. the genes encoding infrared fluorescent protein and heme oxygenase-1 into the device.


The Imaging device is designed to function this way, working only in low [NO] conditions (i.e. in atherosclerotic plaque sites) :

NTUifpprosys.png


Once IFP production has begun, we can begin imaging for the plaque site from without, and establish the location of the plaque site.

Of course, at this stage we also foresee numerous other medical/non-medical uses for the IFP protein!


Characteristic Equations

Transcription of IFP / HO-1

First, we can define the stoichiometric ration of IFP to HO-1 transcribed.

NTUifpstoi.png


Next, we establish the deterministic repression-regulated transcription rate of IFP & HO-1.

NTUifptransc.png

Where Vmax is max transcription rate & Dm is the degradation rate of mRNA.

Again, bracketed term generates the fraction of pTet not bound with TetR i.e. actively promoting pTet sites.


Translation of IFP / HO-1

Deterministic first order ODE is used again to represent the translation of IFP / HO-1 protein. Same eqn with appropriate term and constants changed.

NTUifptransl.png

Where Ktl is the translation rate of mRNA & Dp is the degradation rate of IFP / H0-1 protein.


Infrared signal production

Before the infrared signal can be produced, HO-1 must first convert haem to biliverdin.

NTUifpbil.png


And then finally we can determine an equation for rate of infrared signal, (assuming that intensity of infrared signal is directly proportional with the amount of bound-IFP-Biliverdin in the system).

NTUifpsig.png based on the ratio of bound / activated to total [IFP] available: NTUifpact.png


Modelling & Simulation

We make the following assumptions:

  1. Biological systems of transcription and translation are assumed to be linear and time-invariant
  2. Concentration of the transcription factor, NorR in E.coli is assumed to be in excess and constant. Hence, [NorR] is not taken into account in our model
  3. There is no time lag for NO diffusion from ext. environment into the cell
  4. Constant Degradation rates for mRNA as well as protein

Instead of modelling with TetR, we are using GFP as our output. This is part of our effort in trying to predict the wetlab characterization of pNO.


The following is our Sensing device represented as a Simulink system. Please click on it for a larger view.

NTUpnosys.png


Device Construction

Researchers at Tsien’s Lab graciously provided us the gene sequence of IFP1.4 optimized for E. coli, and we synthesize the gene encoding IFP1.4 with GeneArt in accordance with the standard stated by the Registry of Standard Biological Parts.

Part: BBa_I15008 from the Registry of Standard Biological Parts contains the HO-1 gene sequence of cyanobacteria, Synechocystis and therefore is extracted directly for our needs.


Device Characterization

Literature / References

Please proceed here to view our full list of references.



NTU@iGEMcc 2009. Some rights reserved.