Transcription Terminator Efficiency Calculator (TTEC) - - PowerPoint PPT Presentation
Transcription Terminator Efficiency Calculator (TTEC) - - PowerPoint PPT Presentation
Transcription Terminator Efficiency Calculator (TTEC) SUSTC-Shenzhen-B Outline 1 Background & Motivation 2 Terminator Efficiency Calculator Algorithm Database Experiment 3 Human Practice Background & Motivation RBS CDS
Outline
Background & Motivation
1
Terminator Efficiency Calculator
2
Human Practice
3
Algorithm Database Experiment
Promoter RBS CDS Terminator Background & Motivation
A rho-independent terminator
Terminator efficiency
Case 1:
Completely terminate transcription.
Double terminators, 100% efficiency !
Case 2:
2 : 1
Ter ermina minator
- r ef
efficienc iciency : : 50% 50%
Promoter RBS CDS1 CDS2
Imperfectly terminate transcription.
Control gene expression.
Terminator is not well characterized
Efficiency: Promoter RBS CDS Terminator
√ √ ?
Number of working parts Promoter 67 RBS 55 terminator 16 Predicting promoter efficiency PNAS (2010) vol. 107 no. 72854 Predicting RBS efficiency Nature Biotechnology (2009) 27, 946 Predicting terminator efficiency: ? Partsregistry Database
Outline
Terminator Efficiency Calculator
2
Algorithm
- Step 1
– Input the sequence of terminator
- 1. 50bp on average
- 2. poly A,GC rich
part,poly T
AAAAAAACCCCGCGGTTTTCCGCGGGGTTTTTTTTTTTTTTT
Algorithm
- Step 2
– Predict the secondary structure of terminator – Recognize A tail, stem loop, T tail
RNA folding algorithm: Minimal free energy model
A Tail T Tail Stemloop
Algorithm
- Step 3
– Define a d score based on Gibbs free energy
Algorithm
n=1 the n nucleotide is T the nucleotide is not T
- 1. International Open Facility
Advancing Biotechnology (BIOFAB) from Stanford and UC Berkely
- 2. Terminator efficiency
experimental data available
- Step 4
From d score to terminator efficiency
Algorithm Linear fitting
- Step 4
From d score to terminator efficiency
Algorithm Class Efficiency High efficiency Low efficiency significant difference in d score of high and low efficiency terminators
Outline
Terminator Efficiency Calculator
2
Database
Database Data Sources Partsregist ry 16 Literature 25 Biofab 34 Database Information
Efficiency
Sequence Direction Enviroment
Correlation coefficient between model prediction and data: 0.84
Data used in the figure Partsregistry: 4 Literatures: 18
Validate our model by existing database
Current problem in existing terminator data: Inconsistent methods of measuring terminator efficiency Database
- 1. Gel
- 2. Fluorescence protein + Flow cytometry
Outline
Terminator Efficiency Calculator
2
Experiment
Experiment Design The Experimental Group The Control Group
RFP GFP RFP terminator GFP Efficiency GFP level 0% As much as control group 100% none
Experiment Procedure
Sequence Selection 1 Plasmid Construction 2 Terminator Insertion 3 Fluorescence Measurement Flow cytometry 4 Efficiency Analysis 5
Experiment Validation
Fluorescent Microscope Results
the expression of GFP
Flow cytometry measurement
- f GFP intensity
Experiment Validation
Agreement between prediction and experiment
Correlation coefficient: 0.93
Experimental Standard
Technical Standard
BBF RFC 90: The Measurement of rho-independent Transcription Terminator Efficiency. We create the standard for future terminator efficiency measurement
Technical standards framework is formed to reduce the complexity and cost of producing synthetic living
- rganisms by leveraging time-honored engineering
principles of abstraction and standardization.
Demo
Online version
www.terminatorefficiency.com
To Integrate promoter, RBS and terminator prediction method; To create a tool to predict the efficiency of whole transcription.
Terminator Efficiency Calculator
In the future
Promoter RBS CDS Terminator
√ √ √
Outline
Human Practice
3
Lecture 5 Lab Work Lecture 4 BioBrick and Basic Idea Lecture 3 Central Dogma Lecture 2 Interesting Stories Lecture 1 Introduction to Synthetic Biology
Human Practice (Open Classes)
Human Practice (Open Classes)
9.24 9.26 9.28 9.30 10.2 10.4 200 400 600 800 1000 1200 1400 1600 1800 2000 Audiences
Rapidly Increase
“I’m not in this field and know nothing abou t synthetic biology, but now I’m quite intereste d in it!” “This lecture is very interesting and very easy to understand. “
Comments
Date Number of audience
- We developed a theoretical model to
predict the efficiency of terminator
- We performed experiment to validate our
model
- We created a large database of efficiency
- f terminators
- We developed a technical standard on
terminator efficiency measurement
Summary
Thanks to:
- Prof. Huang Wei (Hong Kong University)
Dr.Ying-Ja Chen ( Synthetic Biology Center, MIT ) 2012 iGEM team: Shenzhen 2012 iGEM team: Shenzhen-SUSTC-A 2012 iGEM team: OUC