Team:EPF-Lausanne/Project

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Genetic Network Generating Spatial Patterns Through Cell-Cell Communication


and Controlled Information Processing

Contents

Abstract

Biological systems are unique in their ability to combine information and energy to generate complex entities. Genetically encoded networks drive many of these patterning processes. Furthermore, developmental studies have highlighted the importance of gradient formation and cell-cell communication for the generation of cellular patterns in the early stages of life. It has been shown that simple networks can form both static and dynamic patterns. Nonetheless, a system whose pattern formation is dependent on combinations of multiple signals has yet to be demonstrated. Here we address this question by designing a network, involving two different quorum-sensing based signaling mechanisms. Upon introduction in E.coli, the system can sense the relative amounts of two input molecules. Using a pre-define set of rules which was selected on its ability to generate spatial patterns, the cell can then express its final state by emitting red or green fluorescence and transmit its state to its neighbors.

General concept2.png

General Introduction and Context

In recent years quorum sensing has been of wide-spread interest in synthetic biology. The ability for populations of cells to communicate in such a way that they either relay information or create specific patterns in culture is one which has been used in several studies (cite...). Some have relied on two different cell populations (predator-prey ref. for example) to engineer novel in vitro behavior.

The idea of the project is to build a system which uses two different quorum sensing sets of molecules that enable the cell to integrate three different levels of signal, and emit a different response according to a predetermine rule-set, producing a given fluorescent protein and a quorum sensing molecule.

Our project uses a single population of cells, which all contain the same genetic information. Thus, the different behavior of the sub-populations will only be dictated by neighboring sub-populations. We also take advantage of the high-level engineering competences found in our Institute (EPFL) by using microfluidic devices in order to culture the cells in an ordered and controllable manner. Our devices are custom-made for the project fabricated using PDMS and multilayer soft lithography (MSL). We designed an array of miniature chambers to culture cells. The chambers are linked to one another with a network of ducts enabling us to culture sub-populations of our cells in contact with each other. Depending on the chamber connectivity and the genetic rule-set used, we expect complex patterns of GFP/RFP expression to form (see patterns below).

The aim is to initiate a signal on one side of the channel and observe the propagation along the plate.

Initiation.png
   
Establishment.png


Our microfluidic devices are also used in a side-project in order to characterize transcription factors (the MITOMI devices).

Biomedical application

Our system could be further developed to analyse blood samples, put within the cells on the first column of our chip. These cells would be enigneered to detect different molecules in blood, molecules reflecting a disorder. The system would then be able to integrate the signal across the chip. Once the signal integrated and brought to the last column, the cells placed there would be able to produce drugs to cure the disorder detected first.

Initiation of the project

Our goal was to produce a system as simple as possible giving patterns as complex as possible. We therefore decided to use only two quorum sensing systems - and two fluorescent proteins - while testing various network geometries and rule sets. We tried two different fluidic networks, determining the patterns formed by all possible rule-sets. We mean by "rule-set" the law determining the output response of the system to a given input.


The first fluidic network, with simple connections, gave two simple patterns, like the "barcode" one.

Connection2.png 5050.jpg


The second network, with more complex connectivity, gave more interesting patterns like the "triangles" one.

Connection1b.png Fullpatches 1010.jpg Triangles.jpg


We choose to keep this pattern, and to try to implement its rule set, given in the following table. You can see the desired expression level of each fluorescent protein on the graph below.


Input Output
GGG R
RGG R
RRG G
RRR R


The rules in this table are what we tried to implement in our system. When the cell receives a given input, it will respond by producing the correct output.


Rule6.JPG

Project Details

General scheme :

The genetic circuit which will be implemented in the cells is the following :

Genscheme.jpg

Pattern:

This genetic circuit must give this following pattern :

Triangles.jpg

Plasmids:

Our system is the combination between a new plasmid and a pre-existing system ("A synthetic multicellular system for programmed pattern formation", from Ron Weiss et al., Nature, vol.434, April 2005) which detect different levels of the luxI quorum sensing molecule and give a specific response according to the concentration received. As shown on the previous genetic circuit, we will add the RhlI molecule after the GFP, Rhl being our second quorum sensing molecule used. In addition to the two Ron Weiss system plasmids, we have to build an extra plasmid with the second part of the genetic circuit. We will add an extra copy of the LacIm gene so that we can test it idenpendently from the Ron Weiss system.

Here is the scheme of the plasmid with the Registry of Standard Parts references for each Biobrick we use.

PiGEM2.png

Response:

The response of our network depends on the incoming signal. Four cases can be found :

1) GGG

If there is green but no red, the AHLRhl will bind to the RhlR to allow the LacIm transcription. This LacIm will inhibit the GFP and the TetR. This latter inhibition allows the transcription of RFP and LuxI.