iGEM Projects PubMed Entries per 100 000 2 Cas as9 Protein - - PowerPoint PPT Presentation
iGEM Projects PubMed Entries per 100 000 2 Cas as9 Protein - - PowerPoint PPT Presentation
Exponential increase of scientific interest in CRISPR-Cas9 iGEM Projects PubMed Entries per 100 000 2 Cas as9 Protein cleaves DNA Target DNA PAM Sit ite allows sg sgRNA binds target DNA Cas9 binding 3 I was standing there with some
Exponential increase of scientific interest in CRISPR-Cas9 PubMed Entries per 100 000 iGEM Projects
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Target DNA Cas as9 Protein cleaves DNA sg sgRNA binds target DNA PAM Sit ite allows Cas9 binding
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“I was standing there with some biologists... and they started to lose their s---, like genuinely lose their s---, about this thing called CRISPR.”
Jad Abumrad, Radiolab, Antibodies Part 1: CRISPR
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sgRNA Efficiency Different sgRNA have difficult-to-predict biochemical efficiencies PAM Seq equence Only sgRNA target with an adjacent NGG PAM site can be chosen
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Re-engineering sgRNA structure with restriction sites that allow target sequence exchange
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Re-engineering sgRNA structure with restriction sites that allow target sequence exchange Original sgRNA Modified sgRNA
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Re-engineering sgRNA structure with restriction sites that allow target sequence exchange
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sgRNA Targeting Nucleotide Preference
Reproduced from Rational design of highly active sgRNAs for CRISPR-Cas9–mediated gene inactivation, Figure 3. Doench et al., 2014
sgRNA optimization still requires testing in the lab e.g. Wang et al. 2015
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Original sgRNA Modified sgRNA
sgRNA secondary structure modules determined by Briner et al. 2014
11 +sgRNA +sgRNA
Original sgRNA: targeting RFP Modified sgRNA: targeting RFP Control: Used BBa-K1645999 without dCas9 Expect low RFP Expect low RFP Expect high RFP
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Original sgRNA Modified sgRNA Identical decrease in RFP expression with each sgRNA structure
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- Designed a new sgRNA scaffold that
allows easy exchange of target sites
- Verified that the scaffold does not
interfere with dCas9 binding and expression control
- Foundation of a functional prototype,
next steps include full verification of exchange
Overcoming NGG PAM limit on target selection through molecular dynamics models
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Found a 3D dCas9 structure (Nishimasu et al. 2014) Modeled using PyRosetta molecular dynamics software
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Modeling background: 3D protein structure
Suite of Python scripts to rank PAM specificity for Cas9 mutants
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Mutate Cas9 structure Cluster and rank scores Generate 256 PAM variants AAAA AAAC AAAG AAAT ... TTTT Determine binding score 27.1 27.3
- 10.1
27.8 ... 200.6
Docking energy minimization as a measure of binding affinity
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Available data: Cas9 with altered PAM specificity
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Ju June 2015: Empirical validation: Cas9 mutants that bind NGAG and NGA PAMs found by Kleinstiver et al. (Nature, 2015) using directed evolution
N G G N N G A G
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Wild-type NGAG Mutant
NGGN
Wild-type reproduces fairly well, mutant less so
NGNG
R = 0.4 .46 p = 1.1 .1e-14 14 R = 0.6 .66 p = 2.2 .2e-16 16
Investigating binding profile of Kleinstiver mutant dCas9
20 TARGET
NGG
+ TARGET
NGAG
+
5000 10000 15000 20000 25000 30000 35000 40000 45000 50000 NGG PAM Site NGAG PAM Site GFP Intensity
Mutant dCas9 does not produce expected binding profile
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NGAG NGG
GFP Intensity
- Explored dCas9-DNA binding affinities in
silico
- Created framework for testing sgRNAs
computationally
- Results suggest more work and a
reassessment of assumptions
- Framework & documentation
available online
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sgRNA Efficiency PAM Seq equence
Applications: gene editing gene drives expression control
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CRISPieR Application: engineered plants with CRISPR-Cas9 antiviral defense
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Model Plant: Arabidopsis thaliana Model Virus: Cauliflower Mosaic Virus (CaMV)
How does CaMV affect plant cells?
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CaMV Production without CRISPR Defense
- NetLogo models available on
- Agent-based stochastic modeling
- Incorporates intracellular ODEs via
Euler’s method
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How does CaMV infection spread among plant cells?
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Using protoplasts as a model
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Can we express our CRISPR-Cas9 defense system in plant cells?
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Trial #1 Trial #2
Mathematical models are not bound by the same constraints
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How does CRISPR-Cas9 deactivate viral genomes?
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Results for Plant Tissue
Results for Single Cell
Could improved sgRNA efficiency or PAM flexibility aid defense?
34 CRISPR (t1/2 = 1.8h) CRISPieR (t1/2 = 0.9h)
CRISPR Plant Defense
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CRISPR Plant Defense → CRISPieR Plant Defense
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121 121 Person sample size 60 60 GMO surveys 61 61 Gene editing surveys
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Do people respond differently to different wording?
Similar questions using the words:
GMO versus CRISPR-Cas9 Technology
Ran a survey at the university and a local farmer’s market
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Do people respond differently to different wording?
How do you feel about eating food with [GMO or CRISPR-Cas9] ingredients?
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Why do people oppose the sale of GM foods?
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WOULD YOU SUPPORT SCIENTIFIC
RESEARCH INTO THE FIELD OF GM FOODS?
YES 96%
CRISPieR Application
CRISPR Plant Defense
- Cas9 expression in Arabidopsis
protoplasts
- Viral models suggesting system will
work
- Models also suggest CRISPieR will work
Gold Requirements
- Additional Practices work (IP, business)
- uOttawa, Aalto-Helsinki collaborations
- Improved characterization of xylose
(BBa_K1323014 and BBa_K1323002)
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CRISPieR
Simple sgRNA Exchange
- Added restriction sites to sgRNA
scaffold
- Showed modified scaffold didn’t
affect dCas9 activity
Cas9 PAM Flexibility
- Python suite using PyRosetta
- Correlated affinities for wild type
- Inconclusive results for NGAG and
NGAN PAMs
- Potentially due to different dCas9
Elementary School High School University iGEM Academy Digest Calculator PyRosetta Suite + GitHub Commercialization iGEM Critique Floral Dip
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- Dr. Marc Aucoin
- Dr. Trevor Charles
- Dr. Andrew Doxey
- Dr. Barbara Moffatt
- Dr. Brian Ingalls
Radmila Kovac Julia Manalil
- Dr. Jiujun Cheng
Maya D’Alessio John Heil Kathy Lam
- Dr. Simon Chuong
- Dr. Susan Lolle
- Dr. Pearl Chang
Cherry Chen Maye Saechao
- Dr. Aiming Wang
Destin Sigurdson Jamie McNeil Lauren Kennedy Suzie Alexander Pavel Shmatnik Dragos Chiriac
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1. Briner, A. E., et al., Guide RNA Functional Modules Direct Cas9 Activity and Orthogonality, Molecular Cell, vol. 56, no. 2, pp. 333-339 (Oct. 2014). 2. Kleinstiver, B. P., et al. Engineered CRISPR-Cas9 nucleases with altered PAM specificities. Nature, 523, pp. 481-485 (Jun. 2015). 3. Nishimasu, H. Crystal structure of Streptococcus pyogenes Cas9 in complex with guide RNA and target DNA. Cell, 156, pp. 935-949, (2014). 4. Doench, J. G., et al. Rational design of highly active sgRNAs for CRISPR- Cas9–mediated gene inactivation. Nature Biotechnology, 32, 12, pp. 1262–1267 (Sep. 2014). 5. Wang, X. et al. Efficient CRISPR/Cas9-mediated biallelic gene disruption and site-specific knockin after rapid selection of highly active sgRNAs in
- pigs. Sci. Rep. 5, 13348; doi: 10.1038/srep13348 (2015).
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