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RNA Strand Displacement forInformation Processing in
Mammalian Cells
1
World Jamboree
11.04.2012
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Motivation Mechanism Processing InterfacingProduction Key Reaction Conclusion Human Practices
The Importance of Smaller Parts
DNA required to encode logic circuits
Numberofgates
Circuits with
typical sizedparts
Circuits with
10X smallerparts
2
SynBio Challenge: Make more sophisticated
circuits to control cell behavior
1
23
Current Transcriptional Parts:
~10X Smaller Parts:
11 12 13 14 15 16 17 18 19 20
1 2 3 4 5 6 7 8 9 10
21 22 23 24 25 26 27 28 29 30
Motivation
Greater sophistication per unit DNA Better delivery with payload limits Less energy cost
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Motivation Mechanism Processing InterfacingProduction Key Reaction Conclusion Human Practices
0
5
10
15
20
25
30
35
40
2000 2002 2004 2006 2008 2010 2012
Year
Progression of Circuit Sophistication Over Time
3
Analysis of strand displacement publications from Pierce,
Winfree, and Yurke groups
NumberofPromoters/dsGates
Adapted from Purnick et al.,Nature MCB 2009
Moon et al.,Nature 2012
Qian et al.,Science 2011
Transcription-translational circuits
In vitro strand displacement circuits
Motivation
AIM: Demonstrate strand displacement
computation in cells
In vitro = In solution
In vivo = In cells
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Motivation Mechanism Processing InterfacingProduction Key Reaction Conclusion Human Practices
Signals and Computation
0 0
1 1
Low activatorInput signal = 0
Low proteinOutput signal = 0
High activator
Input signal = 1
High protein
Output signal = 1
Mechanism
BUFFER
BUFFER NOT OR AND
In traditional transcriptional circuits:
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Motivation Mechanism Processing InterfacingProduction Key Reaction Conclusion Human Practices
Signals and Computation: Strand Displacement
1 1
Low signal
High signal
Input signal = 0 Output signal = 0
Input signal = 1 Output signal = 1
Mechanism
BUFFER
0 0
High signal (single-stranded DNA): 1Low signal (double-stranded DNA): 0
(We use fluorescence as a proxy to indicate signal level)
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Motivation Mechanism Processing InterfacingProduction Key Reaction Conclusion Human Practices
Mechanism of Toehold-Mediated
Strand Displacement
6
Input
Signal
S1
S2
S3
S2*
S2
Gate
Output
Signal
BUFFER
Mechanism
15 nt
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Mechanism of Toehold-Mediated Strand
Displacement
7
Input
Signal
S1
S2
S3
S2*
S2
Gate
Output
Signal
S2TInput
Signal
S1
S2*
S2
S3
Gate
Output
Signal
T* T*
T
Output
Signal
S2
T
S3
Gate
S2*T* T*
S2TInput
Signal
S1
Mechanism
BUFFER
Qian et al. 2011
15 nt
5 nt
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Mechanism of Signal Cascading
8
Qian et al. 2011
Gate
S2*T* T*
S2TInput
Signal
S1
S2
T S3Input
Signal
BUFFER BUFFER
Mechanism
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Mechanism of Signal Cascading
9
te
* T*
S2
T S3Input
Signal
S3*
S3
S4
Gate
Output
Signal
T* T*
T
S3*
Gate
T* T*
S2
T S3Input
Signal
S4
Output
Signal
T
S3
Mechanism
BUFFER BUFFER
Qian et al. 2011
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10
Overview ofIn Vivo Strand Displacement
Systems
Processing
Information
Sensing
Inputs
Actuating
Responses
Producing
Circuits
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Processing Information
AND OR
True if both inputs true True if at least one input is true
Qian et al. 2011
?NOT
Inverts a signal
Nothing compatible
11
Processing
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Our NOT Gate Using Strand Displacement
Dynamic Gate
(A)
Output (B) Output (B)
B is free to act downstream!
C is displaced.
Dynamic Gate(A)
Input Strand
Buffer (C)
Output (B)
Fuel / Catalyst (D)
12
Processing
Operation: Low Input High Output
NOT
0 1
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Our NOT Gate Using Strand Displacement
13
B is trapped, cannot act downstream!
C is stable.
Dynamic Gate(A)
Input Strand
Buffer (C)
Output (B)
Fuel / Catalyst (D)
Dynamic Gate
(A)
Output (B)
Input Strand
Operation: High Input Low Output
Processing
NOT
1 0
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Our NOT Gate In Vitro
TestSimulateDesign
Cooperative Hybridization at Low
ConcentrationsInitial Simulation
Input
O
utput
Input
Output
Initial Transfer FunctionNOT Gate Transfer Function
Simulations using Visual DSD; experiment by Jon, Giulio
Processing
Visual DSD
Using ODEs
9 reactions per NOT gate
Plate reader studies
Measuring fluorescence
100 uL reactions
14
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15
Producing Circuits
Processing
Information
Sensing
Inputs
Actuating
Responses
Producing
Circuits
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In Vivo Implementation Choices
Utilize RNA Mammalian Cells
Tl* Sl*
T S
In vitro In vivo
24 hours
1 cell cycle
Slow dilution rate
Natural RNAi pathway
RNA more stable
Can be produced continuously
Provide for dynamic circuit operation
Production
16
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18
Interfacing With the Cell
Processing
Information
Sensing
Inputs
Actuating
Responses
Producing
Circuits
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Sensing mRNA Inputs
Short RNA
Output
Signal
+
19
Design rules orthogonality
three-letter code
accessibility
Downstream
Input
Signal
Sensor
Input mRNA
+
Fuel
Output
Gate
Gate
Interfacing
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Sensing mRNA for Cellular Interfacing
20
NUPACK Rendering of eBFP2 mRNA
Interfacing
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22
Using Strand Displacement: Feasible
Processing
Information
Sensing
Inputs
Actuating
Responses
Producing
Circuits
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Motivation Mechanism Processing InterfacingProduction Key Reaction Conclusion Human Practices
The Key Reaction Behind It All
24
Input Strand
Gate
Input StrandOutput Strand
Output Strand
High green / High red
Key Reaction
REPORTER
1 1
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Motivation Mechanism Processing InterfacingProduction Key Reaction Conclusion Human Practices
The Key Reaction: In Vitro with RNA
Input Strand
S6TT
T* S6*
S6
Fluorescent Complex
+ +
S6
T* S6*
S6
WasteReporterIncorrect Input
Strand
S1
Data collected by Eerik/Chelsea/Felix 25
Key Reaction
REPORTER
1 1
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Video Here
HEK293
cell
Vesicle
Tagged
RNA
In Vivo RNA Delivery
T = 0h T = 2h T = 3h T = 4h
Experiment by Katie
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Motivation Mechanism Processing InterfacingProduction Key Reaction Conclusion Human Practices27
The Key Reaction with RNA in Cells: Iteration 1
Input Strand
ST + +
T* S*
S
Reporter
T* S*
T S
Fluorescent Complex
S
Waste
Transfection by Katie, FACS by NathanKey Reaction
REPORTER
1 1
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Motivation Mechanism Processing InterfacingProduction Key Reaction Conclusion Human Practices28
Design Test
Key Reaction
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An Example Future Cancer Detect and Destroy Circuit
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Motivation Mechanism Processing InterfacingProduction Key Reaction Conclusion Human Practices31
An Example Future Cancer Detect-and-Destroy Circuit
Enabled by Our Results
S8T
S7w
7,8
G9:9,10
T*S9*T*
S9 T
S10
w9,fS9 T
Sf
S9*T*s8*
S9
Th8,9:9
G8:8,9
T*S8*T*
S8 T
S9
Th5:8,7
m5*T5*
m5 S8* T* s7*
S8
Th6:8,7
m6*T6*
m6 S8* T* s7*
S8
G1:1,8
T*m1*T1*
m1 T
S8
G2:2,8
T*m2*T2*
m2 T
S8
G3:3,8
T*m3*T3*
m3 T
S8
Th4:8,7
m4*T4*
m4 S8* T* s7*
S8
Processing Actuation
Killer
protein
production
ANXA2CD-55
SEL1LBRCA2
INK4A
CEACAM-6
Conclusion
ANXA2
CD-55
CEACAM-6
SEL1L
BRCA2
INK4A
Sensing
Pancreatic Cancer (PDAC)
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40MammoBlocks
New MammoBlocks (RFC 65) / BioBricks
Best 22 Parts Submitted To Registry
10 Regulatory
Composite Parts
BBa_K779400 BBa_K779405
BBa_K779401 BBa_K779406
BBa_K779402 BBa_K779407
BBa_K779403 BBa_K779408
BBa_K779404 BBa_K779409
37Biobricks
37 Logic Parts for Strand
Displacement
BBa_K779500 BBa_K779501 BBa_K779502
BBa_K779503 BBa_K779504 BBa_K779100
BBa_K779101 BBa_K779102 BBa_K779103
BBa_K779104 BBa_K779105 BBa_K779106
BBa_K779107 BBa_K779108 BBa_K779109
BBa_K779110 BBa_K779111 BBa_K779112
BBa_K779113 BBa_K779114 BBa_K779115
BBa_K779116 BBa_K779117 BBa_K779118
BBa_K779119 BBa_K779120 BBa_K779121
BBa_K779122 BBa_K779123 BBa_K779124
BBa_K779125 BBa_K779126 BBa_K779127
BBa_K779128 BBa_K779129 BBa_K779130BBa_K779131
3 PromotersBBa_K779200
BBa_K779201
BBa_K779202
4 Hammerhead Ribozyme
Coding Sequences
BBa_K779315
BBa_K779316
BBa_K779317
Bba_K779318
13 Reporters
BBa_K779300 BBa_K779307
BBa_K779301 BBa_K779309
BBa_K779302 BBa_K779310
BBa_K779303 BBa_K779311
BBa_K779304 BBa_K779312
BBa_K779306 BBa-K779313BBa_K779314
BBa_K779305BBa_K779308
2 Transcriptional
Regulators
10 Generators
BBa_K779600 BBa_K779601
BBa_K779602 BBa_K779603
BBa_K779604 BBa_K779605
BBa_K779606 BBa_K779607BBa_K779608 BBa_K779609
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Motivation Mechanism Processing InterfacingProduction Key Reaction Conclusion Human Practices
Outreach: Middle School, High School, College
Splash: Educating local high school students
MIT Educational Studies Program
Coming soon! November 17, 2012
Wellesley: Building multi-university communities
Use case for Wellesley HCI software
Bridging gap between tool designer and end-user
Summer HSSP: Educating local middle school students Biology Lecture Series: Synthetic Biology
Focus on applications, practices, and opportunities in synthetic biology
33
MIT: January Term Synthetic Biology Class
Engineer Your Own Bacteria 2 week lecture, wet lab
Human Practices
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Acknowledgments
MIT iGEM 2012 TeamFelix Sun, Giulio Alighieri, Eta Atolia, Katie Bodner, Jonathan Elzur, Keren Greenbaum, Divya Israni, Lealia
Xiong, Chelsea Voss, Kristjan Eerik Kaseniit, Nathan Kipniss, Jenna Klein, Robert Learsch, Wilson Louie,Alaa Siam, Linh Vuong
Ron Weiss (faculty)
Jonathan Babb
Deepak Mishra
Coordinators:
Lab Shift Monitors:
Additional thanks to:
Jameel Zayed
Kenneth H. Hu
Leanna S. Morishini
Mariya Barch
Mark Andrew Keibler
Nathan S. Lachenmyer
Sebastien Lemire
Lulu Qian
Peter Andrew Carr
Nevin M. Summers
Timothy Lu
Domitilla Del
Vecchio
Alice M. Rushforth
Roger KammBU-Wellesley iGEM Team
Thanks to our sponsors for their generous support!
Christopher Voigt
Feng Zhang
Jacquin Niles
Kristala L. Jones
Prather
Rahul Sarpeshkar
Narendra Maheshri
Natalie Kuldell
NOT Gate Transfer Function
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PROCESSING
CIRCUIT PRODUCTION
CELL INTERFACING
KEY REACTION
Thank you!
Questions?
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Highly Scalable Parts Comparison
U6
187 bp
Hef1A
1174 bp
Cag
1718 bp
Transcriptional:
HH Gate:Output HH
216 bp
Strand Displacement:
Hef1A: TAL Effector
TAL-VP16 w/ 17bp DNA recognition
1174 + 2477 = 3651bp
Poly A / Terminator
527 bp
U6 terminator
6 bp
3651+527 = 4178bp 187+216+6 = 409bp
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38
Strand Displacement Reactions
Qian et al. 2011
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39
AND, OR Logic Using Strand Displacement
Qian et al. 2011
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40
Full NOT Gate Reaction Diagram
Case: Input present
low output signal
Irreversible
Trapped!
Case: No input present high output signalReversible
Downstream
Input (B)
B
No Input
Strand
Dynamic Gate (A)
Input Strand
Dynamic Gate (A)
Downstream Input (B) reacts:
Downstream
Input (B) Buffer (C)
Fuel / Catalyst (D)
Signal!
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Digital NOT Gate Behavior
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42
RFC65 Review: Recombination Cloning
pDEST
L1 L2
pENTR
Gene
LR
Kan
L4 R1
pENTR
Prom
pEXPR
Ori Kan Ori
Amp Marker
Amp Marker
R4 R2ccdBCm Term
B1 B2Gene TermPromB4
ll h d
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cleaves
43
Actuation: Controlling Hammerhead Activity
Hammerhead-Stem
(inactive)Input Strand Active Hammerhead
c.f.
+
cleaves
cleaves
Design by Divya & Eerik, Hammerhead adapted from Yen et al. 2004
d i f l i id i O
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Transduction of Nucleic Acids to Protein Outputs
Input Output Protein
None
mRNA is stable,
protein produced
mRNA unstable,no protein expression
GFP
GFP cleaves
A i T i H h d Cl
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45
Actuation: Testing Hammerhead Cleavage
Hef1A mKate Hef1A Hammerhead mKate Hef1A HammerheadmKate
Producing Components Using Transcription and
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Hammerhead
Hammerhead
Initial RNA Transcript
RNA Folds
T*
Output
TS2
S3
GateS2* T*
46
Producing Components Using Transcription and
Hammerheads
Hammerhead
Cleaves
Goal:
I Vit St d Di l t It ti 2
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47
In Vitro Strand Displacement: Iteration 2
Input Strand
SlongTlongTlong
Tlong* Slong*
Slong
Fluorescent Complex
+ +Slong/bulge
Tlong* Slong*
Slong/bulge
WasteReporter
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Th K R ti I Vi It ti 2 (B l )
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49
The Key Reaction: In Vivo Iteration 2 (Bulge)
Input Strand
SlongTlong + +
Tlong* Slong*
Slong
Reporter
Tlong* Slong*
Tlong Slong
Fluorescent Complex
Slong
Waste
Nucleofection by Giulio, FACS by Rob
Longer toehold
Longer hybridization domain
Incorporation of bulge region
Orthogonal sequences
REPORTER
1
O ti i i T f ti f 2 O M d RNA
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50
Optimizing Transfection of 2-O-Me dsRNA
I d ibl E i S t
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Inducible Expression Systems
Cellular-RNA-Compatible Actuation: Relieving miRNA
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p g
Repression with Decoys
Hef1A-LacO eYFP-4xFF4Hef1A mKate-Intronic
miR-FF4
U6-TetO Decoy FF4
TuD FF4
Slight Relief of miRNA Knock-Down of Reporter via Antisense Decoy RNA
1:0:1 Reporter:miRNA:Decoy
1:1:1 Reporter:miRNA:Decoy
1:1:2 Reporter:miRNA:Decoy
Antisense to miRNA
miRNA
Outreach: International
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Motivation Mechanism Processing InterfacingProduction Key Reaction Conclusion Human Practices
53
Internationalization Project of Synthetic Biology
Launching a collaboration between MIT and Tel-AvivUniversity.
Bringing together high school Palestinians and Israelis
for three years to work on an iGEM technical and
entrepreneurial projects.
One-year pilot program to be launched this summer.
A college component and an incubator to follow.
Synthetic Biology Policy Research One student conducted synthetic biology policy research, with
Prof. Kenneth Oye of MITs Engineering Systems Division.
Work presented in SynBERC retreat and at a conference in the
Woodrow Wilson International Center for Scholars.
Outreach: International
Human Practices
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