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2014 Michigan Synthetic Biology Team University of Michigan Ann Arbor, MI ScFV Antibody Secretion in E. coli
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Page 1: Boston Presentation

2014 Michigan Synthetic Biology TeamUniversity of Michigan

Ann Arbor, MI

ScFV Antibody Secretion in E. coli

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Eukaryote Prokaryote

Purifying Mammalian Proteins in E. coli is Problematic

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Prokaryotic Periplasm mimics the Reducing Environment of ER

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E. coli OsmY Secretes into the Periplasm

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Utilization of OsmY as a Secretion-Based Protein Purification Method

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Human Practice:Project Implications

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Antibodies and the Economy

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Meeting with Covance to Determine Market Viability for Antibody Detection

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• Fluorescence Microscopy of Secreted mCherry

• Western Blot Analysis of Secreted mCherry

• Western Blot Analysis of Secreted ScFV Antibody

Results

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Expression Vector Creates Functioning Polypeptide

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Expression Vector is Capable of Secreting Protein Fusion

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Functional Antibodies can be Secreted from the Construct

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Future Directions• Optimize overexpression conditions for construct

• Perform ELISA with antibody-rich supernatant

• Compare OsmY construct with industry standards

• Identify effects of cleaving OsmY from ScFV on binding efficiency

• Quantify construct secretion rates, providing models with data (ELISA)

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Modeling

[C]=k-1k1[P]+Sk1(1-e-k1t) [P]=1k-1+k2(k1[C]+k-2[M]) [M]=1k-2+D[M](k2[P]) [P]=[C]k1(k-2+D[M])k-1(k-2+D[M])+k2D[M] [P]=S(1-e-k1t)(k-2+D[M]k2D[M]) [M]=SD[M](1-e-k1t)

[C]=S(k-1(k-2+D[M])+k2D[M]k1k2D[M])(1-e-k1t) [C]ss=S+k-1[P]ssk1 [P]ss=k-2[M]ss+k1[C]ssk-1+k2 [M]ss=k2[P]ssk-2+D[M] [P]ss=S(k-2+D[M])k2D[M], k1(k-1+k2)(k-2+D[M])0[M]ss=SD[M] [C]ss=S(k2D[M]+k-1(k-2+D[M])k1k2D[M])

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Modeling:Secretion of OsmY-Fusion

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Solving the System

Assumptions:• Volume of Cytoplasm, Periplasm, and Media are constant

• Synthesis rate is independent of time

• Transfer reactions are first order

• Periplasm and Cytosol quickly reach a steady state

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Secreted Protein Concentration:Predicting the Steady State

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Next Step: Test and Develop

Perform ELISA,Get Data

Compare Model to Data

Adjust ModelPredict new outcomes

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We Can Check One Assumption Now:

[P] and [C] quickly reach a steady state

Mol L

Time

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Future Directions• Quantify periplasmic and media

concentrations of OsmY-Fusion via ELISA• Utilize ELISA data to adjust parameters,

improving robustness of models

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Monetization: The Real Driving Force

• OsmY can be used to secrete diverse proteins

• We can predict how such proteins will secrete

• OsmY can be used in a bioreactor

• Useful tool for industries

STEP 1: MAKE PROTEIN

SECRETION SYSTEM

Step 2:Predict rate of Synthesis and

Secretion

STEP 3: PROFIT

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Carnegie Mellon Regional Meet-Up

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Collaborations

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Outreach

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OutreachOutreach

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Acknowledgements

University of Michigan• Marcus Ammerlaan, Ph.D, Advisor• Anuj Kumar, Ph.D, Advisor• Kaitlin Flynn, Advisor• Victor DiRita, Ph.D• James Bardwell, Ph.D• Ursula Jacob, Ph.D• Ming Liu, Ph.D

TU-Braunschweig• Michael Hust, Ph.D

Covance• Christine Gwinn, Microbiology Supervisor

Thank You, Sponsors!

Acknowledgements