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Published byCoral Harrison Modified over 6 years ago
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A synthetic multicellular system for programmed pattern formation
- Basu et al, 2005
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Pattern formation
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Examples
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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?
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Principle Sender cell
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Principle Black Box Input AHL Output GFP
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High-detect component Low-detect component
Principle High-detect component Input AHL Output GFP Low-detect component
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High-detect component Low-detect component
Principle High-detect component Output GFP Low-detect component
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High-detect component Low-detect component
Principle High-detect component +AHL Output GFP Low-detect component
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High-detect component Low-detect component
Principle High-detect component +AHL Output GFP Low-detect component
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High-detect component Low-detect component
Principle High-detect component ++AHL Output GFP Low-detect component
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High-detect component Low-detect component
Principle High-detect component ++AHL Output GFP Low-detect component
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Principle Sender cell
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Receiver Cell pLux pLux pλ pLac
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Model + Data High Threshold Device Threshold Hypersensitive Wild type
Low copy no.
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Model + Data
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Model + Data WT LuxI Unstable LuxI
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Higher conc range and lower conc range
Model + Data Higher conc range and lower conc range
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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?
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Discussion
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Discussion
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