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Turing meets synthetic biology

Introduction

The work of Turing

In 1952 Alan M. Turing in his classical paper called The chemical basis of morphogenesis he sugested that a system of chemical substances, called morphogens, reacting together and diffusing through a tissue, is adequate to account for the main phenomena of morphogenesis." This system is amazing by its simplicity. With only two morphogens it's possible to reproduce nontrivial patterns that are similar to those of zebras or leopards.

Although there is not enough evidence of the existence of these morphogens in living organisms, the likeliness of the patterns obtained by theoretical means using this model with the ones found in nature is astonishing.

zebra stripes pattern

leopard spots pattern

Turing assumed that the morphogenes can react with each other and diffuse through cells. It is necessary that at the beginning there is a non-homogeneous distribuition of these morphogenes, which is often called chemical prepattern and can be given merely by random disturbances. An intuitive notion would tell us that the diffusion of the morphogenes starting from this chemical prepattern would led to a homogenous state of the system, but surprisingly the Turing proposal says that non-homgenous structures will arise, as a direct consequence of diffusion (the turing hyphotesis); reaching a stable state with regions with high concentrantions of one morphogen and regions with high concentration of the others. This non-homogeneous distribuition patterns of morphogens resembles those found in nature during some stages of morhpogenesis (from the gastrulation or the tentacle patterns on hydras to the jaguar spots).

Reaction-Diffusion equations

Turing formally described his proposal with a set of Partial Differential Equations where is possible to represent the chemical interactions of the morphogens and the way they move over the space. This kind of dynamics are commonly called reaction-diffusion mechanisms, and the equations that describe them are named Reaction-Diffusion equations. In section modeling we formally present them.

The Activator-Inhibitor

In 1972 A. Gierer and H. Meinhardt published his work called A theory of biological pattern formation presenting a network based in the interaction of at least two morphogenes acting as an activator and an inhibitor. The main qualitative dynamics of the morphogens is:

Short range activation, longer range inhibition and a conceptual distinction between effective concentrations of activator and inhibitor, on one hand, and the density of their sources on the other.

Schematically we can see this description as:

Local activation & long range inhibition

J.D. Murray presented a good example of how patterns can arise from this kind of dynamics so we cite his text literally:

"Consider a field of dry grass in which there is a large number of grasshoppers which can generate a lot of moisture by sweating if they get warm. Now suppose the grass is set alight at some point and a flame front starts to propagate. We can think of the grasshopper as an inhibitor and the fire as an activator. If there were no moisture to quench the flames the fire would simply spread over the whole field which would result in a uniform charred area. Suppose, however, that when the grasshoppers get warm enough they can generate enough moisture to dampen the grass so that when the flames reach such a pre-moistened area the grass will not burn. The scenario for spatial pattern is then as follows. The fire starts to spread it is one of the reactants, the activator, with a diffusion coefficient DF say. When the grasshoppers, the inhibitor reactant, ahead of the flame front feel it coming they move quickly well ahead of it; that is, they have a diffusion coefficient, DG say, which is much larger than DF . The grasshoppers then sweat profusely and generate enough moisture to prevent the fire spreading into the moistened area. In this way the charred area is restricted to a finite domain which depends on the diffusion coefficients of the reactants fire and grasshopperand various reaction parameters. If, instead of a single initial fire, there were a random scattering of them we can see how this process would result in a final spatially heterogeneous steady state distribution of charred and uncharred regions in the field and a spatial distribution of grasshoppers, since around each fire the above scenario would take place. If the grasshoppers and flame front diffused at the same speed no such spatial pattern could evolve."

Synthesizing, we can now represent the interactions between the activator and the inhibitor as follows:

The activator is autocathalyzed and it also triggers the formation of the inhibitor. Accordingly to its name, the inhibitor inhibits the production of the activator, leading to a simple but very rich dymamics (For more details on the acivator-inhibitor equations please go to modelling section). From the grass field and the fire analogy we can deduce that the diffusion coefficients of the fire should be slower than the grasshoppers one; if not the fire (activator) would spread completely in the area. This is an important fact that we mention again later.

There are some variants of the classical Activator-Inhibitor system, like the Activator-Inhibitor with Substrates. Those systems describe the aditional existence of a substance that is degraded or inactivated along the time and the production of the activator is limited to its availability. This kind of substrates can sometimes play the role of the inhibitor, and due to this duality we can model our project in several ways with no loss of generality.

GENERAL CONDITIONS FOR PATTERN GENERATION

Although this kind of conditions refers mainly to a mathematical analyses of the reaction-diffusion systems like the Activator-Inhibitor of J.D. Murray , we can qualitative simplify and establish according to this analyses the general conditions for pattern formation:

The existence of at least of two morphogenes with different nature that interacts chemically between them diffuse over the space
The coefficient rates of diffusion should be different.
The starting distribution of morphogenes should not be completely homogeneous over the space.
The Gierer and Mainhardt proposal: local activation and long range inhibition.

TURING MEETS SYNTHETIC BIOLOGY

The Synthetic Biology has became in the last years an excellent tool to designe biological systems with particular purposes. In our team we decided to used it as a way to contribute not only with technological aspects but mainly with theoretical and foundational research.

The Turing's ideas about cellular differentiation in zygote according to gradients of morphogenes that react and diffuse through the cellular tissue have not been completely confirmed due to the lack of biological evidence. The main objective of this project is to give an example of a biological system that contains reaction-diffusion mechanisms and is able to reproduce spatiotemporal Turing-type patterns or another kind of nontrivial patterns.

The biobricks found in the [http://www.partsregistry.org Registry of Biological parts] are a good starting point to construct a synthetic network of genes that due to their interactions could behave as an Activator-Inhibitor system. This genetic network inserted innto an E. coli' should respond to the concentration gradients of morphogens in the media and have the potential to accordingly differentially respond.

The main challenge was to design a synthetic network that fulfills the general conditions for generating a spatiotemporal pattern (see above). But we must act carefully, since in Murray's book literaly says :

"...the genes, however, themselves cannot create the pattern. They only provide a blueprint or recipe, for the pattern generation"

an advise that few teams in the past years' competitions may have considered.

Reaction-Diffusion systems implemented on Biobricks

Inspired by the Gierer and Meinhardt work we designed a synthetic genetic network that acts as an Activator-Inhibitor with limiting substrates. Our proposal is that genes of the quorum system las will have the role of the Activator, while genes of the lux quorum system are going to be the Inhibitors and IPTG and ATC will be the substrates that will delimit de pattern. We explain each particular characteristics of reaction, diffusion and substrates in the following subsections.

Reaction - Diffusion

We suppose the existence of two morphogenes, represented by Lux, Las and AI, PAI lactones respectively. This compounds are very small and travel through the membrane rapidly diffusing in the media.

We used two promoters, one inducible by LasR+PAI ([http://www.partsregistry.org/Part:Bba_R0079 Bba_R0079]) and the other double controlled ([http://www.partsregistry.org/Part:Bba_RK091146 Bba_K091146]), repressed by LuxR+AI and induced by LasR+PAI. in our genetic network the cell will differentially respond to the different concentrations in the gradients of PAI and AI by expressing different levels of GFP.

We also used a constitutive Lac inverter that allows us to control the production of LasR with IPTG and a constitutive Tet inverter that allows us to control LuxR with aTc. The controlling system of inverters provide a good way to make more sensitive the parameters adjustment.

For a complete documentation of the biobricks check parts section.

Lac inverter

The Lac Inverter is constitutive producing LacI and repressing plac promoter. Plac promoter controls de expression of LasR.

Tet inverter

The Tet Inverter is constitutive producing TetR and repressing ptet promoter. Ptet promoter controls de expression of LuxR.

Lux AHL

This biobrick is a signaling protein generator that is expected to be activated by LasR+PAI controlling the expression of LuxI enzyme.

Las AHL

This biobrick is a signaling proteing generator that is expected to be controlled in two different ways, activated by LasR+PAI and repressed by LuxR+AI. It controls the expression of LasI enzyme and GFP in a polycistronic way.

Substrates

[http://openwetware.org/wiki/IPTG IPTG] & [http://openwetware.org/wiki/ATc ATC]

Different concentrations of IPTG and ATC is expected to control too the expression of LasR and LuxR correspondly

The Activator-Inhibitor system on biobricks: The dynamics

The questions now is, how the BioBricks system works?, in this subsection we will answer this question starting from a prototypical point of view, the activator activates the inhibitor.

Autocatalisis

If we suppose that LacI is no produced, then the Lac promoter will produce LasR, if this happens, and the colony of E. coli is big enough to achieve a threshold of activation, a phenomena of positive feedback will start by LasR+PAI, the last one produced by LasI enzyme. This complex will induce the double promoter, the GFP will be overexpressed and much more LAS AHL will be released. A local Activation will take place.

Activation

Later LuxI enzyme will be produced by the efect of LasR+PAI on its controlling promoter, and Lux AHL will become released.

Inhibition

When there is enough Lux AHL to achieve a second threshold, and if we supose that the tet promoter is not repressed, LuxR will be produced, forming a complex with Lux AHL, LuxR + AI which in turn will repress de double promoter. The Long range inhibition will take place.

Diffusion

Just by molecular weights, the 3OC12HSL from Las AHL and 3OC6HSL from Lux AHL, the Lux AHL will diffuse faster, (check modelling section) which covers one of the requests for generating patterns (see above).

Substrates

IPTG and ATC in the media will provide the characteristics of limiting substrates because if any of them is missing simply LuxR or LasR will not be produced because of the inverters that control them, and no interaction by quorum sensing will be possible, i.e., the reaction and diffusion part will not work and the system should arrive to an steady state.

Complete system

The two sequences from below in the picture represents the biobricks before described but in a particular order for easy work at lab only.

Synthesizing

The project of the IPN-UNAM-MEXICO team will provide biological evidence of a classical theoretical work of morphogenesis by means of synthetic biology. The biobricks synthetic network that we propose recover the qualitative requeriments to generate a spatiotemporal pattern because it recognize at least two differente morphogens Lux AHL and Las AHL, they diffuse with different rates, we can give a non-homogeneous starting point to the area where the morphogens will interact and diffuse with IPTG and ATC; and in areas where there are enough substrates IPTG and ATC those zones can remain activated while in a farther place the inhibitory morphogen will predomain. Hence our biobricks system is of reaction-diffusion-substrate type. For more information check de modeling, parts and results sections.

@@ Line 1: / Line 1: @@
 {{Template:IPN-UNAM-Mexico}}
+__NOTOC__
 <center><h1>Turing meets synthetic biology</h1></center>
+==[[Image:Month-icon.png | 50px]]Introduction==
-===Reaction===
+===The work of Turing===
-'''Lac inverter'''
+In 1952 Alan M. Turing in his classical paper called ''The chemical basis of morphogenesis '' he sugested that a system of chemical substances, called morphogens, reacting together and diffusing through a tissue, is adequate to account for the main phenomena of morphogenesis." This system is amazing by its simplicity. With only two morphogens it's possible to reproduce nontrivial patterns that are similar to those of zebras or leopards.
-[[Image:AI Lac.jpg‎‎‎|500px|center|link=https://2009.igem.org/Team:IPN-UNAM-Mexico/Parts]]
+Although there is not enough evidence of the existence of these morphogens in living organisms, the likeliness of the patterns obtained by theoretical means using this model with the ones found in nature is astonishing.
-'''Tet inverter'''
+[[Image:Zebra.jpg|thumb|200px|zebra stripes pattern]]
-[[Image:AI Tet.jpg‎‎‎|500px|center|link=Parts]]
+[[Image:Leopard.jpg|thumb|200px|leopard spots pattern]]
-===Diffusion===
+Turing assumed that the morphogenes can react with each other and diffuse through cells. It is necessary that at the beginning there is a non-homogeneous distribuition of these morphogenes, which is often called chemical prepattern and can be given merely by random disturbances. An intuitive notion would tell us that the diffusion of the morphogenes starting from this chemical prepattern would led to a homogenous state of the system, but surprisingly the Turing proposal says that non-homgenous structures will arise, as a direct consequence of diffusion (the turing hyphotesis); reaching a stable state with regions with high concentrantions of one morphogen and regions with high concentration of the others. This non-homogeneous distribuition patterns of morphogens resembles those found in nature during some stages of morhpogenesis (from the gastrulation or the tentacle patterns on hydras to the jaguar spots).
-'''[http://partsregistry.org/Lux Lux] AHL'''
+===Reaction-Diffusion equations===
-[[Image:AI LuxI.jpg‎‎‎|300px|center|texto descriptivo]]
+Turing formally described his proposal with a set of Partial Differential Equations where is possible to represent the chemical interactions of the morphogens and the way they move over the space. This kind of dynamics are commonly called reaction-diffusion mechanisms, and the equations that describe them are named Reaction-Diffusion equations. In section [[Team:IPN-UNAM-Mexico/Modeling|modeling]] we formally present them.
-'''Las AHL'''
+===The Activator-Inhibitor===
-[[Image:AI LasI.jpg‎‎‎|400px|center|texto descriptivo]]
+In 1972 A. Gierer and H. Meinhardt published his work called ''A theory of biological pattern formation'' presenting a network based in the interaction of at least two morphogenes acting as an activator and an inhibitor. The main qualitative dynamics of the morphogens is:
+''Short range activation, longer range inhibition and a conceptual distinction between effective concentrations of activator and inhibitor, on one hand, and the density of their sources on the other.''
+Schematically we can see this description as:
+[[Image:Curv ACT-INH.jpg‎ ‎|200px|center|Local activation & long range inhibition]]
+[[Team:IPN-UNAM-Mexico/Modeling/References|J.D. Murray]] presented a good example of how patterns can arise from this kind of dynamics so we cite his text literally:
+<center>''"Consider a field of dry grass in which there is a large number of grasshoppers''</center>
+<center>''which can generate a lot of moisture by sweating if they get warm. Now suppose the''</center>
+<center>''grass is set alight at some point and a flame front starts to propagate. We can think of''</center>
+<center>''the grasshopper as an inhibitor and the fire as an activator. If there were no moisture''</center>
+<center>''to quench the flames the fire would simply spread over the whole field which would''</center>
+<center>''result in a uniform charred area. Suppose, however, that when the grasshoppers get''</center>
+<center>''warm enough they can generate enough moisture to dampen the grass so that when the''</center>
+<center>''flames reach such a pre-moistened area the grass will not burn. The scenario for spatial''</center>
+<center>''pattern is then as follows. The fire starts to spread it is one of the reactants, the''</center>
+<center>''activator, with a diffusion coefficient DF say. When the grasshoppers, the inhibitor''</center>
+<center>''reactant, ahead of the flame front feel it coming they move quickly well ahead of''</center>
+<center>''it; that is, they have a diffusion coefficient, DG say, which is much larger than DF .''</center>
+<center>''The grasshoppers then sweat profusely and generate enough moisture to prevent the''</center>
+<center>''fire spreading into the moistened area. In this way the charred area is restricted to a''</center>
+<center>''finite domain which depends on the diffusion coefficients of the reactants fire and''</center>
+<center>''grasshopperand various reaction parameters. If, instead of a single initial fire, there''</center>
+<center>''were a random scattering of them we can see how this process would result in a final''</center>
+<center>''spatially heterogeneous steady state distribution of charred and uncharred regions in''</center>
+<center>''the field and a spatial distribution of grasshoppers, since around each fire the above''</center>
+<center>''scenario would take place. If the grasshoppers and flame front diffused at the same''</center>
+<center>''speed no such spatial pattern could evolve."''</center>
+Synthesizing, we can now represent the interactions between the activator and the inhibitor as follows:
+[[Image:ACT-INH.jpg|center|200px|Activator-Inhibitor dynamics]]
+The activator is autocathalyzed and it also triggers the formation of the inhibitor. Accordingly to its name, the inhibitor inhibits the production of the activator, leading to a simple but very rich dymamics (For more details on the acivator-inhibitor equations please go to [[Team:IPN-UNAM-Mexico/Modeling|modelling]] section). From the grass field and the fire analogy we can deduce that the diffusion coefficients of the fire should be slower than the grasshoppers one; if not the fire (activator) would spread completely in the area. This is an important fact that we mention again later.
+There are some variants of the classical Activator-Inhibitor system, like the Activator-Inhibitor with Substrates. Those systems describe the aditional existence of a substance that is degraded or inactivated along the time and the production of the activator is limited to its availability. This kind of substrates can sometimes play the role of the inhibitor, and due to this duality we can model our project in several ways with no loss of generality.
+==='''GENERAL CONDITIONS FOR PATTERN GENERATION'''===
+Although this kind of conditions refers mainly to a mathematical analyses of the reaction-diffusion systems like the Activator-Inhibitor of [[Team:IPN-UNAM-Mexico/Modeling/References|J.D. Murray]] , we can qualitative simplify and establish according to this analyses the general conditions for pattern formation:
+# The existence of at least of two morphogenes with different nature that interacts chemically between them diffuse over the space
+# The coefficient rates of diffusion should be different.
+# The starting distribution of morphogenes should not be completely homogeneous over the space.
+# The Gierer and Mainhardt proposal: local activation and long range inhibition.
+==[[Image:Month-icon.png | 50px]]'''TURING MEETS SYNTHETIC BIOLOGY'''==
+The Synthetic Biology has became in the last years an excellent tool to designe biological systems with particular purposes. In our team we decided to used it as a way to contribute not only with technological aspects but mainly with theoretical and foundational research.
+The Turing's ideas about cellular differentiation in zygote according to gradients of morphogenes that react and diffuse through the cellular tissue have not been completely confirmed due to the lack of biological evidence. The main objective of this project is to give an example of a biological system that contains reaction-diffusion mechanisms and is able to reproduce spatiotemporal Turing-type patterns or another kind of nontrivial patterns.
+The  biobricks found in the [http://www.partsregistry.org Registry of Biological parts] are a good starting point to construct  a synthetic network of genes that due to their interactions could behave as an Activator-Inhibitor system. This genetic network inserted innto an ''E. coli''' should respond to the concentration gradients of morphogens in the media and have the potential to accordingly differentially respond.
+The main challenge was to design a synthetic network that fulfills the general conditions for generating a spatiotemporal pattern (see above). But we must act carefully, since in Murray's book literaly says :
+<center>''"...the genes, however, themselves cannot create the pattern. They only provide a blueprint or recipe, for the pattern generation"''</center>
+an advise that few teams in the past years' competitions may have considered.
+==[[Image:Month-icon.png | 50px]]Reaction-Diffusion systems implemented on Biobricks==
+Inspired by the Gierer and Meinhardt work we designed a synthetic genetic network that acts as an Activator-Inhibitor with limiting substrates. Our proposal is that genes of the quorum system ''las'' will have the role of the Activator, while genes of the ''lux'' quorum system  are going to be the Inhibitors and ''IPTG'' and ''ATC'' will be the substrates that will delimit de pattern. We explain each particular characteristics of reaction, diffusion and substrates in the following subsections.
+===Reaction - Diffusion===
+We suppose the existence of two morphogenes, represented by ''Lux'', ''Las'' and ''AI'', ''PAI'' lactones respectively. This compounds are very small and travel through the membrane rapidly diffusing in the media.
+We used two promoters, one inducible by ''LasR''+''PAI'' ([http://www.partsregistry.org/Part:Bba_R0079 Bba_R0079]) and the other double controlled ([http://www.partsregistry.org/Part:Bba_RK091146 Bba_K091146]), repressed by ''LuxR''+''AI ''and induced by ''LasR''+''PAI''. in our genetic network the cell will differentially respond to the different concentrations in the gradients of ''PAI'' and ''AI'' by expressing different levels of ''GFP''.
+We also used a constitutive ''Lac'' inverter that allows us to control the production of ''LasR'' with ''IPTG'' and a constitutive ''Tet'' inverter that allows us to control ''LuxR'' with ''aTc. ''The controlling system of inverters provide a good way to make more sensitive the parameters adjustment.
+For a complete documentation of the biobricks check [[Team:IPN-UNAM-Mexico/Parts | parts section]].
+===='''[[Team:IPN-UNAM-Mexico/Parts | Lac inverter]]'''====
+[[Image:AI Lac.jpg‎‎‎|500px|center|Lac Inverter]]
+The ''Lac ''Inverter is constitutive producing ''LacI ''and repressing ''plac ''promoter. ''Plac ''promoter controls de expression of ''LasR''.
+===='''[[Team:IPN-UNAM-Mexico/Parts | Tet inverter]]'''====
+[[Image:AI Tet.jpg‎‎‎|500px|center|link=https://2009.igem.org/Team:IPN-UNAM-Mexico/Parts]]
+The Tet'' ''Inverter is constitutive producing ''TetR ''and repressing ''ptet ''promoter. ''Ptet ''promoter controls de expression of ''LuxR''.
+===='''[[Team:IPN-UNAM-Mexico/Parts | Lux AHL]]'''====
+[[Image:AI LuxI.jpg‎‎‎|300px|center|Lux AHL]]
+This biobrick is a signaling protein generator that is expected to be activated by ''LasR''+''PAI'' controlling the expression of ''LuxI'' enzyme.
+===='''[[Team:IPN-UNAM-Mexico/Parts | Las AHL]]'''====
+[[Image:AI LasI.jpg‎‎‎|400px|center|Las AHL]]
+This biobrick is a signaling proteing generator that is expected to be controlled in two different ways, activated by ''LasR''+''PAI'' and repressed by ''LuxR''+''AI.'' It controls the expression of LasI enzyme and GFP in a polycistronic way.
 ===Substrates===
-'''[http://openwetware.org/wiki/IPTG IPTG] & [http://openwetware.org/wiki/ATc ATC]'''
+===='''[http://openwetware.org/wiki/IPTG IPTG] & [http://openwetware.org/wiki/ATc ATC]'''====
-[[Image:AI substrates.jpg‎‎‎‎|500px|center|texto descriptivo]]
+[[Image:AI substrates.jpg‎‎‎‎|500px|center|substrates]]
-'''Turing qualitative mechanisms'''
+Different concentrations of ''IPTG '' and ''ATC'' is expected to control too the expression of ''LasR'' and ''LuxR'' correspondly
-<center>
-{|
-|[[Image:Curv ACT-INH.jpg‎ ‎|200px|center|texto descriptivo]]
-|[[Image:ACT-INH.jpg‎ ‎|200px|center|texto descriptivo]]
-|}
-</center>
+==[[Image:Month-icon.png | 50px]] The Activator-Inhibitor system on biobricks: The dynamics==
-'''Autocatalisis'''
+The questions now is, how the BioBricks system works?, in this subsection we will answer this question starting from a prototypical point of view, the activator activates the inhibitor.
+==='''Autocatalisis'''===
 [[Image:AI Biobricks wiki 1.jpg‎‎|500px|center|texto descriptivo]]
-'''Activation'''
+If we suppose that ''LacI ''is no produced, then the ''Lac'' promoter will produce ''LasR'', if this happens, and the colony of ''E. coli'' is big enough to achieve a threshold of activation, a phenomena of positive feedback will start by ''LasR''+''PAI'', the last one produced by ''LasI enzyme''. This complex will induce the double promoter, the ''GFP'' will be overexpressed and much more ''LAS AHL'' will be released. A local Activation will take place.
+==='''Activation'''===
 [[Image:AI Biobricks wiki 3.jpg‎‎|500px|center|texto descriptivo]]
-'''Inhibition'''
+Later ''LuxI'' enzyme will be produced by the efect of ''LasR''+''PAI'' on its controlling promoter, and ''Lux AHL'' will become released.
+==='''Inhibition'''===
 [[Image:AI Biobricks wiki 4.jpg‎‎|500px|center|texto descriptivo]]
-'''Diffusion'''
+When there is enough ''Lux AHL ''to achieve a second threshold, and if we supose that the ''tet'' promoter is not repressed, ''LuxR'' will be produced, forming a complex with ''Lux AHL'', ''LuxR ''+ ''AI ''which in turn will repress de double promoter. The Long range inhibition will take place.
+==='''Diffusion'''===
 [[Image:AI Biobricks wiki 5.jpg‎‎|500px|center|texto descriptivo]]
-'''Substrates'''
+Just by molecular weights, the ''3OC12HSL'' from ''Las AHL'' and ''3OC6HSL'' from ''Lux AHL,'' the ''Lux AHL'' will diffuse faster, (check [[Team:IPN-UNAM-Mexico/Modeling | modelling section]]) which covers one of the requests for generating patterns (see above).
+==='''Substrates'''===
 [[Image:AI Biobricks wiki 6.jpg‎‎|500px|center|texto descriptivo]]
-'''Complete system'''
+IPTG and ATC in the media will provide the characteristics of limiting substrates because if any of them is missing simply ''LuxR'' or ''LasR'' will not be produced because of the inverters that control them, and no interaction by quorum sensing will be possible, i.e., the reaction and diffusion part will not work and the system should arrive to an steady state.
-[[Image:AI Biobricks wiki grande.jpg‎|500px|center|texto descriptivo]]
+==='''Complete system'''===
+[[Image:AI Biobricks wiki grande.jpg‎|500px|center|Biobricks system]]
+The two sequences from below in the picture represents the biobricks before described but in a particular order for easy work at lab only.
+===Synthesizing===
+The project of the IPN-UNAM-MEXICO team will provide biological evidence of a classical theoretical work of morphogenesis by means of synthetic biology. The biobricks synthetic network that we propose recover the qualitative requeriments to generate a spatiotemporal pattern because it recognize at least two differente morphogens ''Lux AHL'' and ''Las AHL'', they diffuse with different rates, we can give a non-homogeneous starting point to the area where the morphogens will interact and diffuse with IPTG and ATC; and in areas where there are enough substrates IPTG and ATC those zones can remain activated while in a farther place the inhibitory morphogen will predomain. Hence our biobricks system is of reaction-diffusion-substrate type.
+For more information check de [[Team:IPN-UNAM-Mexico/Modeling | modeling]], [[Team:IPN-UNAM-Mexico/Modeling | parts]] and [[Team:IPN-UNAM-Mexico/Results | results]] sections.
 {{Template:IPN-UNAM-Mexico-footer}}

Team:IPN-UNAM-Mexico/Project

From 2009.igem.org

Latest revision as of 06:54, 9 December 2009

Turing meets synthetic biology

Introduction

The work of Turing

Reaction-Diffusion equations

The Activator-Inhibitor

GENERAL CONDITIONS FOR PATTERN GENERATION

TURING MEETS SYNTHETIC BIOLOGY

Reaction-Diffusion systems implemented on Biobricks

Reaction - Diffusion

Lac inverter

Tet inverter

Lux AHL

Las AHL

Substrates

[http://openwetware.org/wiki/IPTG IPTG] & [http://openwetware.org/wiki/ATc ATC]

The Activator-Inhibitor system on biobricks: The dynamics

Autocatalisis

Activation

Inhibition

Diffusion

Substrates

Complete system

Synthesizing