1/45. 2/45 1. Tri-Stable Switch 2. Lead Detector 3. iGEM Community.

Slides:



Advertisements
Similar presentations
Construction of a Suppressor Logic Toolkit and its use in a Bacterial Quasi-Hash Function iGEM 2008 Finisher Team Bob Cool, Kin Lau, Xiao Zhu.
Advertisements

Brown iGEM international genetically engineered machines competition July Update 1/86.
A SYNTHETIC GENE- METABOLIC OSCILLATOR Reviewed by Fei Chen.
Synthetic Biology Lab Techniques (I). Outline  Motivation - To increase genetic circuit stability under mutation  Plasmids and cells (E. coli).  Restriction.
IGEM 2007 ETH Zurich ETH Zurich iGEM Team 2 ETH Zurich team.
Goal Show the modeling process used by both Collins (toggle switch) and Elowitz (repressilator) to inform design of biological network necessary to encode.
Davidson College Synth-Aces Tamar Odle (’08), Oscar Hernandez (’06), Kristen DeCelle (’06), Andrew Drysdale (’07), Matt Gemberling (’06), and Nick Cain.
Programmed population control by cell-cell communication and regulated killing Lingchong You, Robert Sidney Cox III, Ron Weiss & Frances H. Arnold Programmed.
Synthetic Biology = design and engineering of biological systems that aren’t found in nature Why would we want to do this? - Want to understand natural.
Genetic Toggle Switch construction and modeling. Toggle switch design.
Combinatorial Synthesis of Genetic Networks Guet et. al. Andrew Goodrich Charles Feng.
BioWire Progress Report Week Nine Orr Ashenberg, Patrick Bradley, Connie Cheng, Kang-Xing Jin, Danny Popper, Sasha Rush.
Regulation of Transcription in Prokaryotes
Fundamental Concepts in Genetic Logic Design - Principles of Control, Digital and Analog Devices Medicine 2B 徐廷儀 2009/03/11.
Adiel Loinger Ofer Biham Nathalie Q. Balaban Azi Lipshtat
CS 374, Algorithms in Biology. Florian Buron Transforming cells into automata Genetic Circuit Building Blocks for Cellular Computation (Gardner, Cantor.
Logical operations Jesse Wu Outline Logic review Logical operators Promoters Host conscious circuit design.
Programmed cells: Interfacing natural and engineered gene networks Kobayashi, Kærn, Araki, Chung, Gardner, Cantor & Collins,( PNAS 2004). You, Cox, Weiss.
Synthetic Mammalian Transgene Negative Autoregulation Harpreet Chawla April 2, 2015 Vinay Shimoga, Jacob White, Yi Li, Eduardo Sontag & Leonidas Bleris.
Encapsulation for Drug Delivery
First Institute of Higher Education in Modern China Since 1895 A World-class, Progressive, and Multidisciplinary Research University.
Synthetic Biology Presentation by Brown iGEM Team.
Design of Digital Logic by Genetic Regulatory Networks Ron Weiss Department of Electrical Engineering Princeton University Computing Beyond Silicon Summer.
VictoriaBC iGEM 2009 Signal Integration: Applications of RNA Riboregulator Capabilities VictoriaBC iGEM 2009 Signal Integration: Applications of RNA Riboregulator.
MURI Pattern Detection Circuits
The Programming of a Cell By L Varin and N Kharma Biology and Computer Engineering Departments Concordia University.
Reconstruction of Transcriptional Regulatory Networks
IGEM 2006 PRESENTATION The NCBS Team : Adil, Aparna, Ashesh, Dhanya, Krithiga, Ruchi, Sugat and Mukund
Gene repression and activation
Genetically Engineered H 2 Detector Mississippi State University.
Introduction to Chemical Kinetics and Computational Modeling Hana El-Samad Byers Hall (QB3), Rm 403D.
Why synthetic Biology? Reverse Engineering vs. Forward engineering: »Synthetic replicas of natural genetic circuits.
Environmental Signal Integration by a Modular AND Gate By J Christopher Anderson, Christopher A Voigt and Adam P Arkin Presented by Alexandra Doolittle.
Photos in Living Color Purdue University iGEM Team Purdue University iGEM Team.
Imperial College iGEM Jamboree MIT – Nov 4th 2006.
Construction of a Genetic Toggle Switch in Escherichia coli
A Genetic Differential Amplifier: Design, Simulation, Construction and Testing Seema Nagaraj and Stephen Davies University of Toronto Edward S. Rogers.
Construction of a genetic toggle switch in Escherichia coli Farah and Tom.
Synthetic Biology = design and engineering of biological systems that aren’t found in nature Why would we want to do this? - Want to understand natural.
Harvard iGEM 2005: Team BioWire and BioLoserz!!! LOL Orr Ashenberg, Patrick Bradley, Connie Cheng, Kang-Xing Jin, Danny Popper, Sasha Rush.
Networks in Engineering A network consists of a set of interconnected components that deliver a predictable output to a given set of inputs. Function InputOutput.
Harvard iGEM 2005: Team BioWire Orr Ashenberg, Patrick Bradley, Connie Cheng, Kang-Xing Jin, Danny Popper, Sasha Rush.
Programmed population control by cell-cell communication and regulated killing Lingchong You, Robert Sidney Cox III, Ron Weiss & Frances H. Arnold Programmed.
Project Proposal for iGEM Project Specifications - Detect pH of a system Report pH of a system Genetically Engineered pH Buffering Machine Maintain.
Characterization of the Hrp Regulatory System Project 1 of the Imperial iGEM 2007 team.
Quorum Sensing iGEM2007. Target (eg Nickel) luxI OHHL luxR.
Harvard iGEM 2005: Team BioWire and BioLoserz!!! LOL Orr Ashenberg, Patrick Bradley, Connie Cheng, Kang-Xing Jin, Danny Popper, Sasha Rush.
Establishing Baseline Performance Scores for the CAGEN Robust Gene Response Challenge Shaunak Sen Caltech CDS Dec 14, 2011.
GENETIC TOGGLE SWITCH IN E. COLI COLLINS LAB (2000) Allen Lin 1.
Brown iGEM international genetically engineered machines competition August Update 1/55.
IGEM 2005: Team BioWire and BioLoserz!!! LOL Orr Ashenberg, Patrick Bradley, Connie Cheng, Kang-Xing Jin, Danny Popper, Sasha Rush.
Encapsulation for Drug Delivery Encapsulation for Drug Delivery 31 st July iGEM Team 2009 Charles Dave Dineka James Kun Nuri Royah Tianyi.
Combinatorial Synthesis of Genetic Networks Calin C. Guet, Michael B. Elowitz, Weihong Hsing, Stanislas Leibler Amit Meshulam Bioinformatics Seminar Technion,
Directed Evolution of a Genetic Circuit 15 February 2008 George McArthur This presentation is primarily based on content taken from the paper “Directed.
Introduction to Synthetic Biology II Jonathan Foley //Josh Kittleson // Emily Pertu // Lane Weaver.
BioWire Progress Report Week Six “Halfway There” Orr Ashenberg, Patrick Bradley, Connie Cheng, Kang-Xing Jin, Danny Popper, Sasha Rush.
BioWire Progress Report Week Six “Halfway There” Orr Ashenberg, Patrick Bradley, Connie Cheng, Kang-Xing Jin, Danny Popper, Sasha Rush.
Modelling Our System Christin S. and Farah V..
2007 Brown iGEM Team 7 undergraduates 7 grad student advisors
Course outline 1 Introduction 2
Distributed computation: the new wave of synthetic biology devices
Oscillating Fluorescence in E. coli
Registry of Standard Biological Parts
A synthetic multicellular system for programmed pattern formation
Design of Adjacent Transcriptional Regions to Tune Gene Expression and Facilitate Circuit Construction  Fuqing Wu, Qi Zhang, Xiao Wang  Cell Systems 
Virginia iGEM Workshop #2 High School Education Series.
Design of Adjacent Transcriptional Regions to Tune Gene Expression and Facilitate Circuit Construction  Fuqing Wu, Qi Zhang, Xiao Wang  Cell Systems 
Modelling Our System Christin and Farah.
Central Dogma Theory and Kinetic Models
Nicholas S. McCarty, Rodrigo Ledesma-Amaro  Trends in Biotechnology 
Presentation transcript:

1/45

2/45 1. Tri-Stable Switch 2. Lead Detector 3. iGEM Community

Tri-Stable Switch Adam Emrich, Norris Hung, Kyle Schutter Inspiration Architecture Modeling Applying the Model Status

Inspiration

Gardner, Cantor, & Collins in Nature 2000 Our Role Model

n-Stable Switch “If I have seen a little further it is by standing on the shoulders of Giants." - Isaac Newton -Apply their logic - Apply their model - Use iGem Parts

ModelProduct

Architecture

Black Box aTc IPTG Arabinose GFP RFP YFP

P AraC/BAD TetR Lac I TetR AraC P Lac I P Tet R GFP YFP RFP L-arabinose IPTG aTc

Modeling

β = cooperativity of repression α = repressor production rate x = repressor1 y = repressor2 z = repressor3 The Model Change in Repressor Less Repression by Other Repressors Degradation Repressor Production

Applying the model

β=1 β=10 β=2 β=3 Rate of Change of Repressor vs Repressor Concentration for Different Cooperativity Levels dY (X or Z)

Experimentally Determine Model Parameters

How Can the Tri-Stable Switch be used? C A B GFP YFP RFP Protein 1 Protein 2 Protein 3

Applications Basic Circuit Component Memory (Trinary?) Drug Delivery Cell Differentiation

α=? Summer Goals Design Genetic Architecture Derive Model Experimentally Determine Model Parameters Test and Build Switch Summer Accomplishments tests designed ligations underway

Lead Detector Deepa Galaiya, Jeff Hofmann, Rohan Maddamsetti Inspiration Architecture Part Characterization Progress

Inspiration

Contaminated Water: __% Clean Water: __% Contaminated Water: 40% Clean Water: 60% WHO Inspiration

23/45 Chen P, Greenberg B, Taghavi S, Romano C, van der Lelie D, He C (2005) An exceptionally selective lead(II)-regulatory protein from Ralstonia metallidurans : development of a fluorescent lead(II) probe. Angew Chem Int Ed Engl 44:2715–2719

24/45 Architecture

25/45 Simple Lead Detector Fluorescent Protein Lead Promoter Lead Binding Protein

26/45 Low Fluorescence

27/45 Solution: Amplify the Signal Fluorescent Protein Lead Promoter Amplifier Lead Binding Protein

28/45 Amplified Fluorescence Low Fluorescence

29/45 Architecture pTet (Constitutive On) PbrR691 Lead Promoter PbrR691 LuxI GFP LuxR AHL = Cell Signaling Molecule Made by LuxI To other cells AHL Binding Protein/Promoter Complex + Amplifier AHL Producer Fluorescent

30/45 Part Characterization

31/45 Lead Promoter Amplifier 1.Develop Assay to Measure AHL 2.Characterize New Parts: Lead Promoter and Lead Binding Protein 3.Characterize Amplifier 3 2 Experimental Steps:

32/45 AHL = Signal Lead Promoter Amplifier LuxI AHL Output AHL Input Match Output to Input to complete circuit. PbrR AHL Assay

33/45 How did we measure the AHL Signal? AHL to GFP Converter (Part T9002) 1. AHL Assay AHLGFP AHL to GFP Converter

34/45

2. New Lead Parts Lead Promoter Lead Binding Protein 4 New Parts: 1.Lead Promoter 2.Lead Binding Protein 3.2 Lead Binding Proteins under native promoter

36/45 Hypothesis: Direct relationships between AHL and GFP Result: Inverse relationship between AHL and GFP 3. Characterize Amplifier

37/45 Inverse relationship between AHL input and GFP output

Amplifier Doesn’t Work! Why? Hypothesis: AHL molecules affect Fluorescence

39/45 Simple Lead Detector Fluorescent Protein Lead Promoter Lead Binding Protein

40/45 Develop AHL Assay Characterize Amplifier Characterize New Lead Parts Summer Accomplishments

Community

42/45

43/45 Tri-Stable Switch Applying a Model Lead Detector Part Characterization Community Highschoolers Synthetic Biology class Brown iGEM

44/45 John Cumbers Alex Brodsky Tayhas Palmore Gary Wessel Multidisciplinary Lab CCMB MCB MPPB Department of Physics Division of Engineering

43/45

46/45