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A synthetic multicellular system for programmed pattern formation

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Presentation on theme: "A synthetic multicellular system for programmed pattern formation"— Presentation transcript:

1 A synthetic multicellular system for programmed pattern formation
- Basu et al, 2005

2 Pattern formation

3 Examples

4 Amorphous Computing 1. How do we obtain coherent behaviour from the cooperation of large numbers of unreliable parts that are interconnected in unknown, irregular, and time-varying ways? 2. What are the methods for instructing myriads of programmable entities to cooperate to achieve particular goals?

5 Principle Sender cell

6 Principle Black Box Input AHL Output GFP

7 High-detect component Low-detect component
Principle High-detect component Input AHL Output GFP Low-detect component

8 High-detect component Low-detect component
Principle High-detect component Output GFP Low-detect component

9 High-detect component Low-detect component
Principle High-detect component +AHL Output GFP Low-detect component

10 High-detect component Low-detect component
Principle High-detect component +AHL Output GFP Low-detect component

11 High-detect component Low-detect component
Principle High-detect component ++AHL Output GFP Low-detect component

12 High-detect component Low-detect component
Principle High-detect component ++AHL Output GFP Low-detect component

13 Principle Sender cell

14 Receiver Cell pLux pLux pLac

15 Model + Data High Threshold Device Threshold Hypersensitive Wild type
Low copy no.

16 Model + Data

17 Model + Data WT LuxI Unstable LuxI

18 Higher conc range and lower conc range
Model + Data Higher conc range and lower conc range

19 But, how much control do they have?
Conclusion Illustrated a way to achieve pattern formation using a chemical signal and genetic circuits to obtain coherent behaviour. Examined the system dynamics and how the band of detection could be tuned. But, how much control do they have? How complex can the patterns be made?

20 Discussion

21 Discussion


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