Team:Paris/Project

From 2008.igem.org

(Difference between revisions)
(FIFO)
(FIFO)
Line 24: Line 24:
The same goes for the bacterium flagella. To be efficient they naturally need to produce the proteins of the base first. But when you stop making flagella, the base proteins are also the first thing you need to stop producing. It has been proposed [http://www.ncbi.nlm.nih.gov/pubmed/15186773?ordinalpos=2&itool=EntrezSystem2.PEntrez.Pubmed.Pubmed_ResultsPanel.Pubmed_DefaultReportPanel.Pubmed_RVDocSum| (Kalir S., Alon U. 2004)] that the gene network controlling the production of E.coli flagellum behaves as a FIFO. We thus decided to use this regulatory network to implement our FIFO.
The same goes for the bacterium flagella. To be efficient they naturally need to produce the proteins of the base first. But when you stop making flagella, the base proteins are also the first thing you need to stop producing. It has been proposed [http://www.ncbi.nlm.nih.gov/pubmed/15186773?ordinalpos=2&itool=EntrezSystem2.PEntrez.Pubmed.Pubmed_ResultsPanel.Pubmed_DefaultReportPanel.Pubmed_RVDocSum| (Kalir S., Alon U. 2004)] that the gene network controlling the production of E.coli flagellum behaves as a FIFO. We thus decided to use this regulatory network to implement our FIFO.
-
<br><br><br>
+
<br><br>
== Oscillations ==
== Oscillations ==

Revision as of 16:11, 28 October 2008

Presentation of the project


Contents

Specifications

Dessintechnique.png

Our project aims at constructing a sequence of genes activated sequentially in a First In First Out (FIFO) order and periodically and synchronized at population scale. To this end we implement a biological FIFO circuit in a negative feedback loop and a cell-cell communication channel. Such a setup is designed to trigger a sequence of several genes successive activations repeated periodically. Thus, it can be considered as a biological clock.

  • FIFO behavior : Our setup involves three genes which will get activated and deactivated successively following a “FIFO : First In, First Out” order. This sequence is monitored by a logic structure called Feed-Forward Loop (FFL). This system would be more interesting if it has the capacity to automatically reboot.
  • Oscillatory behavior : It will consist in providing a periodic output for the duration of the experiment. To do so, we will use a genetic cascade, initiated by a specific inducer which last step will inhibit the previously mentioned inducer. The period of the oscillations is even more interesting if it allows the sequential switching on and off of several genes.
  • Synchronization : Yet, being able to control this sequential activation within a single cell can be seen as a “first step” in biological clock devising. In order to amplify this phenomenon (to observe it in an easier way or even to find future applications), it has to be extended to a whole population of bacteria. Here comes the synchronization issue: we will use methods based on the “quorum sensing” phenomenon.

We will base our project on an already existing structure, partly fulfilling the evoked specifications: the system that leads to the production of E. coli flagella.

Motivations

FIFO

First In First Out (FIFO) systems are present everywhere from flux management or electronics to genetic networks. A queue in front of the post office works as a FIFO. More generally, it is interesting in any process that requires several steps in a defined order. FIFO behavior indeed prevents from needlessly performing the first steps while the last ones are OFF.

Queue.jpg

If you want to make French fries you need to produce potatoes before you can cut them and you need to cut them before frying them. But it would be a waste to continue producing potatoes if you've already turned off the fryer. You would accumulate unprocessed intermediates !

The same goes for the bacterium flagella. To be efficient they naturally need to produce the proteins of the base first. But when you stop making flagella, the base proteins are also the first thing you need to stop producing. It has been proposed [http://www.ncbi.nlm.nih.gov/pubmed/15186773?ordinalpos=2&itool=EntrezSystem2.PEntrez.Pubmed.Pubmed_ResultsPanel.Pubmed_DefaultReportPanel.Pubmed_RVDocSum| (Kalir S., Alon U. 2004)] that the gene network controlling the production of E.coli flagellum behaves as a FIFO. We thus decided to use this regulatory network to implement our FIFO.

Oscillations

Oscill.png

Genetic oscillators based on the interaction of a small set of molecular components have been shown to be involved in the regulation of the cell cycle, the circadian rhythms, or the response of several signaling pathways. Uncovering the functional properties of such oscillators then becomes important for the understanding of these cellular processes and for the characterization of fundamental properties of more complex clocks.

Creating an oscillating device has always been at the core of synthetic biology. There are many systems that can lead in theory to this complex behavior with different properties : number of cycles, oscillating period and robustness. Our oscillator has an original structure that has not been tested yet, based on a particular gene network called Feed Forward Loop.

Engineering and tuning such complex cellular behaviors is a real challenge for synthetic biology.

Synchronization

Nicoderm.JPG

In order to make visualization easier and to permit the development of future applications, our system must reach a higher scale. The synchronization of the oscillation is a key issue in our system. WHY? The classical way to do so, is to introduce a checkpoint at the end of each cycle, as in the eukariotic cell cycle.

Several teams around the world worked on the synchronization of oscillations. Most of them used the phenomenon of quorum-sensing. And we are doing the same... conclude

One of the possible applications of our system could be a patch composed of a nutrient medium and microbes that synthesize and deliver regularly a drug. Give details (here or in a link), or it is not clear



Previous Step : Home

Next Step : Network design