fluorescent reporter characterization2011.igem.org/files/poster/virginia_tech.pdf · at virginia...

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Fluorescent Reporter Characterization Judith Eeckman, Adam Grose, Miranda Hagen, Brittany Harwell, Swetha Pasala, Meghan Savage, Hayley Schaefer, Loran Steinberger, Mark Stewart, Daniel Thorpe, Laura Adam, Dr. David Ball, Dr. Martha Eborall, Matthew Lux, Julie Marchand, Dr. Jean Peccoud Laboratory of Synthetic Biology, Virginia Bioinformatics Institute, Virginia Tech, Blacksburg, VA Design Results and Analysis Objectives Workflow Fabrication 2011 1. Establish a general workflow for parts characterization 2. Characterize fluorescent reporters in vivo in different contexts pLac E. coli S. cerevisiae pGal Fluorescent Proteins Degradation Tags Plasmids/ Promoters Organisms Sul20C LVA PEST Ubi-Lys mCitrine AcGFP tagRFP ECFP mCherry mTFP1 GFP mOrange mRuby tdTomato EYFP YPet Venus CFP tGFP sfGFP DsRed No Tag No Tag We added our own attribute grammar to to design all our constructs and generate their SBML files. E. coli Insert Suf FP Single FP (Tag) Fusion FP (Link) FP Pre Pro Vector Stop Reporter Single FP Fusion E. coli Construct Suffix S. cerevisiae Insert Stop Reporter Single FP Fusion Promoter Prefix S. cerevisiae Construct Single FP Fusion Start Stop (Tag) (Tag) (Tag) Suf FP (Tag) FP (Link) FP Pre Pro Stop (Tag) (Tag) (Tag) Suffix Stop Reporter Promoter Prefix Vec FP (Tag) FP (Link) FP Stop (Tag) (Tag) (Tag) Vec FP (Tag) FP (Link) FP Stop (Tag) (Tag) (Tag) Vector Stop Reporter Grammar Theoretical level of fluorescence of a reporter protein in vivo. Stabilization phase: Cells acclimate to conditions. Induction phase: Cells proliferate reporter. Inhibition Phase: Reporter matures and degrades. Fluorescence in vivo Technique Automated microfluidics custom control software Tracks hundreds of individual cells Optimized time resolution d degraded Immature Protein Mature protein m expression d degraded m = 0.035 min -1 d = 0.003 min -1 Fluorescence over time of mCherry E2060. The resulting curve is the R-squared value optimized. AveragingMethod Cell-by-CellMethod Time Time Time Methods of Data Processing Gene Organism m (min -1 ) Maturation half time d (min -1 ) Half Time* mCitrine E. coli 0.0082 ±10 -5 85 min 0.0032 ±10 -5 216 min GFPmut3b E. coli 0.0014 ±10 -4 215 min 0.0033 ±10 -5 91 min mCherry E. coli 0.0167 ±10 -5 18 min 0.0047 ±10 -5 67 min Acknowledgments All lab work was conducted at the Virginia Bioinformatics Institute at Virginia Tech. The Team would like to thank Dr. Jean Peccoud, Laura Adam, Dr. David Ball, Dr. Eborall, Matthew Lux and Julie Marchand for their guidance in the execution of the project. The project was supported through funding from the National Science Foundation. Motivations Specific goals *degradation could be due to photobleaching 1. Standardized workflows for Parts characterization are lacking in Synthetic Biology 2. Context dependencies are not well understood 3. Most fluorescent proteins have only been characterized in vitro 1. Use live-cell imaging to determine maturation & degradation rates for different fluorescent proteins 2. Compare rates in eukaryotes and prokaryotes with or without degradation tags 3. Design and test full workflow 4. Expand the use of yeast in iGEM Design Fabrication Characterization Analysis Characterization Model Parameter Estimation Calculated m and d Rates # Designed # Constructed # Sequenced # Imaged # Analyzed # Submitted to Registry 28 17 13 11 3 9 Achievements

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Page 1: Fluorescent Reporter Characterization2011.igem.org/files/poster/Virginia_Tech.pdf · at Virginia Tech. The Team would like to thank Dr. Jean Peccoud, Laura Adam, Dr. David Ball, Dr

Fluorescent Reporter Characterization Judith Eeckman, Adam Grose, Miranda Hagen, Brittany Harwell, Swetha Pasala, Meghan

Savage, Hayley Schaefer, Loran Steinberger, Mark Stewart, Daniel Thorpe,

Laura Adam, Dr. David Ball, Dr. Martha Eborall, Matthew Lux, Julie Marchand, Dr. Jean Peccoud

Laboratory of Synthetic Biology, Virginia Bioinformatics Institute, Virginia Tech, Blacksburg, VA

Design Results and Analysis Objectives

Workflow

Fabrication

Characterization

2011

1. Establish a general workflow for parts characterization

2. Characterize fluorescent reporters in vivo in different contexts

pLac

E. coli

S. cerevisiae

pGal

Fluorescent

Proteins

Degradation

Tags Plasmids/

Promoters Organisms

Sul20C

LVA

PEST

Ubi-Lys

mCitrine

AcGFP

tagRFP

ECFP

mCherry

mTFP1

GFP mOrange

mRuby

tdTomato

EYFP

YPet

Venus

CFP

tGFP

sfGFP

DsRed

No Tag

No Tag

We added our own attribute grammar to to design all

our constructs and generate their SBML files.

E. coli Insert

Suf FP

Single FP

(Tag)

Fusion

FP (Link) FP Pre Pro

Vector Stop Reporter

Single FP Fusion

E. coli

Construct

Suffix

S. cerevisiae

Insert

Stop Reporter

Single FP Fusion

Promoter Prefix

S. cerevisiae Construct

Single FP Fusion

Start

Stop (Tag) (Tag) (Tag)

Suf FP (Tag) FP (Link) FP Pre Pro Stop (Tag) (Tag) (Tag)

Suffix Stop Reporter Promoter Prefix

Vec FP (Tag) FP (Link) FP Stop (Tag) (Tag) (Tag)

Vec

FP (Tag) FP (Link) FP Stop (Tag) (Tag) (Tag)

Vector

Stop Reporter

Grammar

Theoretical level of

fluorescence of a reporter

protein in vivo.

Stabilization

phase: Cells

acclimate to

conditions.

Induction

phase: Cells

proliferate

reporter.

Inhibition

Phase: Reporter

matures and

degrades.

Fluorescence in vivo

Technique

• Automated microfluidics

• – custom control software

• Tracks hundreds of individual cells

• Optimized time resolution

d degraded

Immature Protein Mature protein

m expression

d

degraded

m = 0.035 min-1

d = 0.003 min-1

Fluorescence over

time of mCherry

E2060. The resulting

curve is the R-squared

value optimized.

“Averaging”

Method

“Cell-by-Cell”

Method

Time

Time Time

Methods of Data Processing

Gene Organism m (min-1) Maturation

half time d (min-1) Half Time*

mCitrine E. coli 0.0082 ±10-5 85 min

0.0032 ±10-5 216 min

GFPmut3b E. coli 0.0014 ±10-4 215 min

0.0033 ±10-5 91 min

mCherry E. coli 0.0167 ±10-5 18 min

0.0047 ±10-5 67 min

Acknowledgments

All lab work was conducted at the Virginia Bioinformatics Institute

at Virginia Tech. The Team would like to thank Dr. Jean Peccoud,

Laura Adam, Dr. David Ball, Dr. Eborall, Matthew Lux and Julie

Marchand for their guidance in the execution of the project. The

project was supported through funding from the National Science

Foundation.

Motivations

Specific goals

*degradation could be due to photobleaching

1. Standardized workflows for Parts characterization are

lacking in Synthetic Biology

2. Context dependencies are not well understood

3. Most fluorescent proteins have only been

characterized in vitro

1. Use live-cell imaging to determine maturation &

degradation rates for different fluorescent proteins

2. Compare rates in eukaryotes and prokaryotes with or

without degradation tags

3. Design and test full workflow

4. Expand the use of yeast in iGEM

Design Fabrication Characterization Analysis

Characterization

Model

Parameter Estimation

Calculated m and d Rates

# Designed # Constructed # Sequenced # Imaged # Analyzed

# Submitted to

Registry

28 17 13 11 3 9

Achievements