Overview Introduction Biological model Physical and Chemical - - PowerPoint PPT Presentation

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Overview Introduction Biological model Physical and Chemical - - PowerPoint PPT Presentation

Overview Introduction Biological model Physical and Chemical properties of our glue Mathematical modeling Conclusions I NTRO B IOLOGICAL MODEL P ROPERTIES M ATH MODELING C ONCLUSIONS Introduction Model : Caulobacter


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  • Introduction
  • Biological model
  • Physical and Chemical properties of our glue
  • Mathematical modeling
  • Conclusions

Overview

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Introduction

 Model : Caulobacter crescentus

GRAM –

Motile or sessile cell

Sessile stage : stalk

  • holdfast structure
  • elastic & adhesive
  • Tensile strength

68N/mm2 (!) how to extract it ?

INTRO BIOLOGICAL MODEL PROPERTIES MATH MODELING CONCLUSIONS

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 Holdfast synthesis pathway in C. crescentus

→ holdfast biosynthesis

→ holdfast export

→ holdfast anchoring Aim: transfer C. crescentus holdfast biosynthesis to E. coli

  • E. coli has homolog proteins

hfsG & hfsH genes insertion

INTRO BIOLOGICAL MODEL PROPERTIES MATH MODELING CONCLUSIONS

  • E. Toh et al. Journal of Bacteriology 2008
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 GluColi was born…and stuck !

INTRO BIOLOGICAL MODEL PROPERTIES MATH MODELING CONCLUSIONS

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INTRO BIOLOGICAL MODEL PROPERTIES MATH MODELING CONCLUSIONS

MATERIALS & METHODS

Biological model

 Materials and Methods

Final plasmid

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INTRO BIOLOGICAL MODEL PROPERTIES MATH MODELING CONCLUSIONS

MATERIALS & METHODS

Ligations

Final plasmid

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 Safety : GluColi and a free-antibiotics alternative

Antibiotics : selectable markers in industry

Why ? plasmid-free cells grow faster than plasmid-carrying cells recombinant molecules production

INTRO BIOLOGICAL MODEL PROPERTIES MATH MODELING CONCLUSIONS

SAFETY

Solution : StabyTM system → poison-antidote genes, natural plasmid maintenance → poison : CcdB protein → antidote: CcdA protein → ccdB in E. coli chromosome → ccdA in the plasmid DNA 2 bricks (ccdA) submitted

http://www.delphigenetics.com

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 GluColi, engineering a biological circuit

Objective : producing the glue at a specific point

How ? Three main phases : 1. Attracting GluColi to the target point

  • 2. Glue production at the leaking point
  • 3. Preventing GluColi proliferation

INTRO BIOLOGICAL MODEL PROPERTIES MATH MODELING CONCLUSIONS

CIRCUIT

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INTRO BIOLOGICAL MODEL PROPERTIES MATH MODELING CONCLUSIONS

CIRCUIT

Simplified model

  • 1. Attracting GluColi

chemotaxis Chemotaxis

http://2008.igem.org/Team:Heidelberg

QS

  • 2. Synthesizing the glue

quorum sensing

LuxR LuxR LuxR LuxR

  • 3. Preventing proliferation

http://web.virginia.edu/Heidi/chapter30/chp30.htm

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INTRO BIOLOGICAL MODEL PROPERTIES MATH MODELING CONCLUSIONS

CIRCUIT

Chemotaxis Quorum sensing

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Detailed circuit → http://2009.igem.org/Team:ULB-Brussels

INTRO BIOLOGICAL MODEL PROPERTIES MATH MODELING CONCLUSIONS

CIRCUIT

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Physical & chemical properties

 Fluorescence microscopy

Temperature incubation

  • At 37°C
  • → Isolated bacteria
  • At 27°C

→ Higher agglomeration

INTRO BIOLOGICAL MODEL PROPERTIES MATH MODELING CONCLUSIONS

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Presence of an inclusion Visible inclusion in a transformed bacterium Function: containing the glue ?

INTRO BIOLOGICAL MODEL PROPERTIES MATH MODELING CONCLUSIONS

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 Wet strength

→ Inhibition of the adhesive effect

INTRO BIOLOGICAL MODEL PROPERTIES MATH MODELING CONCLUSIONS

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 Wet strength

→ Inhibition of the adhesive effect → Assumptions :

Homolog hfs genes

Exogenes → transferring all the hfs genes

Anchoring proteins → transferring the hfa genes

Composition of the glue

INTRO BIOLOGICAL MODEL PROPERTIES MATH MODELING CONCLUSIONS

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 Tensile strength

< 68N/mm2

Technical problems

  • unappropriate materials
  • humidity problems
  • no purification

Lack of anchoring genes

INTRO BIOLOGICAL MODEL PROPERTIES MATH MODELING CONCLUSIONS

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INTRO BIOLOGICAL MODEL PROPERTIES MATH MODELING CONCLUSIONS

Hill equations

activator

repressor Dynamical equations

Mathematical modeling

 First model → testing the logic of the circuit

LuxR + HSL quickly formed

No « cell death » Results:

3 steady states : - 2 stable states

  • 1 unstable

without glue synthesis with glue synthesis

BUT : hard to regulate with IPTG

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INTRO BIOLOGICAL MODEL PROPERTIES MATH MODELING CONCLUSIONS

 2nd model

→ taking into account :

complex LuxR-HSL formation

« cell death » Results :

very sensitive to IPTG

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INTRO BIOLOGICAL MODEL PROPERTIES MATH MODELING CONCLUSIONS

 3rd model : toggle switch

Results :

better robustness

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INTRO BIOLOGICAL MODEL PROPERTIES MATH MODELING CONCLUSIONS

Conclusions

 Production of an adhesive

BUT more experiments are necessary → strength → glue characterization

 Parts submission  Biological circuit design

controlled glue production

 Mathematical modeling explored the bistability of

the circuit but further research is necessary

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INTRO BIOLOGICAL MODEL PROPERTIES MATH MODELING CONCLUSIONS

Acknowledgement

 Special thanks to

Bacterial Genetics and Physiology Laboratory, ULB

Sponsors :

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