First, about our team: Ali Celentano Dominique MacCalla Nicole - - PowerPoint PPT Presentation
First, about our team: Ali Celentano Dominique MacCalla Nicole - - PowerPoint PPT Presentation
First, about our team: Ali Celentano Dominique MacCalla Nicole Matamala Danielle Peters Courtney Pozzi Niteesh Sundaram Lena Wang Ali Celentano: Senior, Business/Biology Dominique MacCalla: Nicole Matamala Danielle Peters Courtney Pozzi
First, about our team:
Ali Celentano Dominique MacCalla Nicole Matamala Danielle Peters Courtney Pozzi Niteesh Sundaram Lena Wang
Ali Celentano: Senior, Business/Biology Dominique MacCalla: Nicole Matamala Danielle Peters Courtney Pozzi Niteesh Sundaram Lena Wang
Ali Celentano: Senior, Business/Biology Dominique MacCalla: Junior, MatSci/BME Nicole Matamala Danielle Peters Courtney Pozzi Niteesh Sundaram Lena Wang
Ali Celentano: Senior, Business/Biology Dominique MacCalla: Junior, MatSci/BME Nicole Matamala: Sophomore, CivE/BME Danielle Peters Courtney Pozzi Niteesh Sundaram Lena Wang
Ali Celentano: Senior, Business/Biology Dominique MacCalla: Junior, MatSci/BME Nicole Matamala: Sophomore, CivE/BME Danielle Peters: Senior, Biology Courtney Pozzi Niteesh Sundaram Lena Wang
Ali Celentano: Senior, Business/Biology Dominique MacCalla: Junior, MatSci/BME Nicole Matamala: Sophomore, CivE/BME Danielle Peters: Senior, Biology Courtney Pozzi: Soph, Industrial
Design/BME
Niteesh Sundaram Lena Wang
Ali Celentano: Senior, Business/Biology Dominique MacCalla: Junior, MatSci/BME Nicole Matamala: Sophomore, CivE/BME Danielle Peters: Senior, Biology Courtney Pozzi: Soph, Industrial Design,
BME
Niteesh Sundaram: Senior, ECE Lena Wang
Ali Celentano: Senior, Business/Biology Dominique MacCalla: Junior, MatSci/BME Nicole Matamala: Sophomore, CivE/BME Danielle Peters: Senior, Biology Courtney Pozzi: Soph, Industrial
Design/BME
Niteesh Sundaram: Senior, ECE Lena Wang: Senior, Biology/BME
Ali Celentano: Senior, Business/Biology Dominique MacCalla: Junior, MatSci/BME Nicole Matamala: Sophomore, CivE/BME Danielle Peters: Senior, Biology Courtney Pozzi: Soph, Industrial
Design/BME
Niteesh Sundaram: Senior, ECE Lena Wang: Senior, Biology/BME
Our Project
The development of a biosensor for estrogenic activity in water
The Problem: Endocrine disruptors, such
as estrogens find their way into our water systems and are incredibly hard to detect.
Between 1999 and 2000, the U.S. Geological Survey sampled 139 surface waters throughout the U.S. Through this study, it was determined that 80% of those waters contained endocrine disrupting chemicals, most of them being estrogens.
Environmental Impact
Environmental Impact
Fish Feminization
- Studies have documented crashing fish
populations due to the feminization of male fish by estrogens.
- Entire ecosystems are affected.
How do we demonstrate ecosystem effects?
Modeling allows us to simulate possible scenarios to predict the effect of estrogenic activity on ecosystems.
Elements of Environmental NetLogo Model
Bird Population Fish Population
No Estrogen
Low Estrogen
Medium Estrogen
High Estrogen
How does modeling inform policy?
The Politics of Regulation
The Politics of Regulation
Thousands of estrogen-containing products enter our water system and are difficult (pharmaceuticals) or impossible (natural estrogens) to regulate.
Current Policies
- Switzerland is investing in source
control regulations for estrogenic products.
- EU wants less expensive
technologies that detect endocrine disruptors.
Current Policies
- Strategy Micropoll Project has shown
that pollutants in surface waters can be reduced by at least 80% with additional treatment of already cleaned wastewater.
Current Policies
- Amendment to the Swiss Water
Protection Law: upgrading of 100
- f ~700 Swiss wastewater treatment
plants, requiring an investment of approximately 1.2 billion Swiss francs (1.247 billion USD).
Current Policies
- "Polluter pays” wastewater tax:
maximum tax of 9 Swiss francs (9.35 USD) per person per year collected until
- 2040. The tax should finance 75% of the
investment costs.
Our Solution: T
- engineer a rapid
sensitive biosensor to detect estrogenic activity in water.
Responding to Policy
Industrial Impact: Our biosensor is
intended to improve on the current industrial standard, which takes days to complete.
Synthesis of STREAM
We began by analyzing a set of fluorescent proteins in order to determine the optimal reporter for our biosensor.
Fluorescent Protein Evaluation
- Analyzed five fluorescent proteins
as reporters for our sensor
- Technology: TECAN plate reader
- Measurement: signal-to-noise ratios
- Cell Lines: MACH and TOP10 E. coli
Fluorescent Protein Evaluation
Fluorescent Protein Evaluation
Blue
Fluorescent Protein Evaluation
Blue Green
Fluorescent Protein Evaluation
Blue Green Yellow
Fluorescent Protein Evaluation Orange
Blue Green Yellow
Fluorescent Protein Evaluation Orange
Red Blue Green Yellow
Fluorescent Protein Results
Our Biosensor
Bacterial Biosensor Model
Characterizing Our Biosensor
Modeling Verification
Using a rule-based model helped save time in the wet lab and identify bottlenecks
Modeling Verification
Modeling Verification
BioBrick Improvements
BioBrick Improvements
- Codon optimization to improve yield
- Monomeric version
KillerRed and SuperNova
KillerRed and SuperNova
iGEM Measurement Interlab Study
iGEM Measurement Interlab Study
Collaborations
- iGEM Measurement Interlab Study
- IvyT
ech Kit Modification
- iGEM Meetup
- Pitt Modeling
Collaborations
IvyT ech Wheat Germ DNA Extraction
5 teams, 50 iGEMers
Addressed current policy dealing with endocrine disruptors Used modeling simulations to demonstrate impact Applied our backgrounds to teaching the community about synthetic biology Ensured that our practices will last longer than one iGEM summer
Addressed current policy dealing with endocrine disruptors Used modeling simulations to demonstrate impact Applied our backgrounds to teaching the community about synthetic biology Ensured that our practices will last longer than one iGEM summer
Our project stemmed out of current policy needs in:
- European Union
- Switzerland
Policy into Practice
Who’s at home?
Who’s at home? Underprivileged elementary and middle school students who just started learning about science in Pittsburgh, PA
How does policy help them understand
- ur project?
How does policy help them understand
- ur project?
It really doesn’t.
What practices do we develop to engage, educate, and excite students about synthetic biology?
What practices do we develop to engage, educate, and excite students about synthetic biology? Can these practices last longer than an IGEM summer?
Addressed current policy dealing with endocrine disruptors Used modeling simulations to demonstrate impact Applied our backgrounds to teaching the community about synthetic biology Ensured that our practices will last longer than one iGEM summer
Environmental NetLogo Simulation
helped us visually explain environmental impact of estrogens motivated us to work on this project
Addressed current policy dealing with endocrine disruptors Used modeling simulations to demonstrate impact Applied our backgrounds to teaching the community about synthetic biology Ensured that our practices will last longer than one iGEM summer
Friday June 6, 2014 1 PM “This sounds like a great opportunity! It would be best for us if you could do three 80 minute classes for scheduling purposes.” –Hilary Buttenfield, ECS
Engineering + Design In a Synthetic Biology World?
SynBio Educational Series
The iGEM team created and aided in the development of four kits for students and teachers to use in a classroom setting
SynBio Educational Series
The iGEM team created and aided in the development of four kits for students and teachers to use in a classroom setting Creature Feature DNA Base Pairing Kit Wheat Germ DNA Extraction Strawberry DNA Extraction
iGEM asked us to beyond the bench, We decided to go beyond the bench[mark]
Creature Feature An engaging modeling lab that takes foundational concepts from genetics and evolution and concludes into the field of synthetic biology.
DNA Base Pairing Kit: (improved) DNA modeling kit for the visualizing the principles of base pairing.
Wheat Germ and Strawberry DNA Extraction
Wheat Germ and Strawberry DNA Extraction
Improvements
Wheat Germ and Strawberry DNA Extraction
Improvements Wheat Germ Strawberry
Self contained activity Reduced time to 8 minutes Simplified Able to store activity infinitely Easier Introduced a syringe filtering technique Reduced time to10 minutes Created much higher DNA yields Less mess Easier
Future Initiative
Future Initiative
- Beta with even more students
- Taught teachers who
- Gave feedback
- Provided support
- Demanded lesson plans immediately
Future Initiative
Future Initiative
Outreach by Numbers
Outreach by Numbers
Reached 655 people; 615 students 40 educators 648 labs completed to date
Outreach by Numbers
Reached 655 people; 615 students 40 educators 648 labs completed to date After the jamboree?
1080+
Outreach by Location
Project Conclusions
Biological
Biological
- Our E. coli biosensor platform showed a 400
fold increase in RFP signal but was unresponsive to estrogen.
Biological
- Our E. coli biosensor platform showed a 400
fold increase in RFP signal but was unresponsive to estrogen.
- The Mycbacterium tuberculosis RecA intein
will be tested (Skretas and Wood 2005) and
- ther inteins that splice optimally at 37oC
(Shah and Muir, 2014)
Outreach
Outreach
- All of our kits and labs will be available online
- n DNAZone starting January 2015.
- Creature Feature has 20 more scheduled and
confirmed appearances by December for approximately1080 people
Acknowledgements
- Dr. Cheryl Telmer, main advisor
- Dr. Natasa Miskov-Zivanov, modeling advisor
- Dr. Marcel Bruchez, advisor, providing funding
- Dr. Diana Marculescu, advisor, securing funding
- Dr. Carrie Doonan, outreach advisor
- Dr. Jeanne VanBriesen, environmental advice
- Dr. Terrence Collins, advice on policies
- Dr.
Catalina Achim and Hannah Diorio-Toth, DNAzone
- Taylor Canady and Genoa Warner, DNA kits
Acknowledgements cont.
- Annette Jacobson and Nathan Urban, funding
- Jason Lohmueller, experimental advice
- James Faeder, BioNetGen advice
- Yi Wang, provided competent cells
- Jonathan Dewerd, wiki advice
- Eric Pederson, past iGEM team member, advice
- Yang Choo, past iGEM team member, advice
- David Casillas and Carol Lee, Biology Business
- ffice
- Amie Rose DiTomasso, Sciencepalooza coordinator
- Matthew Salyers, Web designer, Biological Sciences