Presented by: University of Ottawa iGEM 2008 Nations Capital - - PowerPoint PPT Presentation

presented by university of ottawa igem 2008 nation s
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Presented by: University of Ottawa iGEM 2008 Nations Capital - - PowerPoint PPT Presentation

Presented by: University of Ottawa iGEM 2008 Nations Capital University of Ottawa Research intensive University First participation in iGEM competition Team exclusively composed and run by undergraduates Recombinant Proteins


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Presented by: University of Ottawa iGEM 2008

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Nation’s Capital

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University of Ottawa

  • Research intensive University
  • First participation in iGEM competition
  • Team exclusively composed and run by undergraduates
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Recombinant Proteins

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Expression System

Bacteria Plant Mammalian Cells Yeast

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Over-expression of recombinant protein

  • High metabolic burden + stress
  • Reduced cell growth and productivity
  • Selective advantage of non-producers

I’m Tired

Limitations

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Our Project: The Pulsilator

Synthesize recombinant proteins in short, controlled pulses, rather than continuously

  • Reduce average metabolic load and cellular stress
  • Allow cells time to recuperate
  • Maintain productivity of culture over long periods of time
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Our Project: The Pulsilator

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Chen M.-T., and Weiss R. (2005). Nature Biotech. 23(12): 1551-1555.

Chassis

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Chen M.-T., and Weiss R. (2005). Nature Biotech. 23(12): 1551-1555.

Chassis

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Sender cells Receiver cells

Chen M.-T., and Weiss R. (2005). Nature Biotech. 23(12): 1551-1555.

Chassis

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Sender cells Receiver cells Objectives: (1) Enable pulse-generation (2) Design network reset Incorporate: (1) tet repressor feedforward (2) Inducer degradation – Ckx

Chen M.-T., and Weiss R. (2005). Nature Biotech. 23(12): 1551-1555.

Chassis

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SKN7 TetR GFP IP

IT1 FFL

Incoherent Type 1 Feedforward loop

Pulse Generator Network Motif

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SKN7 TetR GFP IP CKX

IT1 FFL Neg. Feedback IT1 FFL

Pulse Generator Reset

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The Design

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The Design

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SKN7 TetR GFP IP CKX

aTc EA

gal/gluc

Non-Genetic Knobs and Dials

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Modeling

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Chen & Weiss, 2005

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Chen & Weiss, 2004 Pulse Generator Network Population dynamics Inducer

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Pulse Characteristics

Time (h) 20 30 10 Resp. Time Width Gain = (c-b)/b Offset = b-a 1.1 1.3 1.5 Amp. Concentration (a.u.) a b c

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Mixed Sender-Receiver Population

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Pulsilator oscillations somewhat fragile to variation in Ckx parameters

KM = 40 KM = 1.5 KM = 0.15 Time (hours)

Concentration (a.u.)

0.050 25 50 75 0.025 0.050 0.025 25 50 75

kdeg= 0.5 min-1 kdeg= 50 min-1 KM = 0.015

Mixed Sender-Receiver Population

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Pulsilation!!! Periodic Induction

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Periodic Induction

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Periodic Induction

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  • ffset
  • ffset

…Low-pass filter!!! Periodic Induction

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SKN7 TetR GFP IP CKX

aTc EA

gal/gluc

Fine Tuning

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0.5 1.0 No aTc Medium aTc Low aTc High aTc 40 Time (min) 80 Concentration (a.u.)

Fine Tuning

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  • Pulse generation

– Pulse characteristics sensitive to transcriptional kinetic parameters

  • Pulsilation

– Sender-receiver configuration

  • Highly sensitive to enzyme kinetics of IP degradation

– Periodic induction configuration

  • Robust
  • Low-pass filter
  • Tunable

Modeling Summary

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Lab Work

Coarse tuning (genetic)

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SSRE Induction by IP

Fluorescence Intensity at 530nm Cell Count

Flow cytometry – single SSRE

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SSRE Induction by IP

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Fluorescence Intensity (530nm)

101 102 103

Cell Count

Without IP With IP

900

Flow cytometry – tandem SSRE

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IP dose response curve

Mean Fluorescence (530nm) IP concentration (µM)

SSRE Induction by IP

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  • Maximize induction by IP
  • Integrate Ckx/TetR elements
  • Monitor IP decay by MS
  • Fine tuning
  • Adapt protocol for bioreactor production of

different recombinant proteins

Future Directions

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  • Mila Tepliakova
  • Simon St. Pierre
  • Dawn Fraser
  • Dr. Ron Weiss
  • Dr. Ernesto Andrianantoandro
  • Dr. James Collins
  • Dr. Thomas Schmülling
  • Dr. Jikta Frébortová
  • Dr. André Lalonde

Acknowledgements

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Thank you to our sponsors