conditionally dimerizable split protein systems for
play

Conditionally Dimerizable Split Protein Systems for Genetic - PowerPoint PPT Presentation

Conditionally Dimerizable Split Protein Systems for Genetic Logic and Genome Editing Applications Presented by: BostonU iGEM 2015 Background Motivation Design Achievements Results Engineering Synthetic


  1. � � Conditionally Dimerizable Split Protein Systems for Genetic Logic and Genome Editing Applications � Presented by: BostonU iGEM 2015 � Background Motivation � Design � Achievements � Results �

  2. � Engineering Synthetic Control � Synthetic biologists want to engineer precise control of biological systems � Protein � DNA � DNA � Original Phenotype � Desired Phenotype � 2 � Background Motivation � Design � Achievements � Results �

  3. Control of Protein Activity � 1. Faster response time � 2. Potentially lower basal activity � 3. Able to integrate post-translational modifications with previously characterized pre-transcriptional methods � Pre-Transcriptional Modification Post-Translational Modification 3 � Background Motivation � Design � Achievements � Results �

  4. Conditional Dimerization of Protein Systems Naturally proteins generally contain multiple domains that together coordinate protein function. � By separating functional domains, we can regulate protein activity. � N-Terminal Domain + Dimerizable Domain � Inducer � C-Terminal Domain + Dimerizable Domain � 4 � Background Motivation � Design � Achievements � Results �

  5. Application #1: � Conditionally Dimerizable Integrases and RDFs for Use in Controlled Gene Expression Background Motivation Design � Design Results Achievements Background �

  6. Overview of Genetic Recombination � Recombination Gene of Interest Recombination Site 1 (GOI) Site 2 Margaret Smith et. al JMB 2014 6 � Motivation Design � Achievements � Background � Results �

  7. Catalyzing Reversible Inversion Reactions � Site-Specific Recombinases Perform Directional Reactions: � Inversion � Deletion � Insertion � GOI GOI GOI GOI GOI GOI Margaret Smith et. al JMB 2014 7 � Motivation Design � Achievements � Background � Results �

  8. Catalyzing Reversible Inversion Reactions � “Off” State � GOI Integrase � Integrase � Recombination Directionality Factor (RDF) � GOI “On” State � 8 � Motivation Design � Achievements � Background � Results �

  9. Design Overview of a Conditionally Dimerizable System � Our design answers these three questions: � 1. Which integrases and RDFs do we split? � 2. Where should we split the proteins? � 3. What should we use to dimerize the proteins? � Integrase, RDF � Split Sites � Dimerizable Domains � Orientation � 9 � Motivation � Design Achievements � Background � Results �

  10. Which Integrases and RDF proteins do we split? � Integrases RDFs GOI Integrase � Integrase + RDF � + � TP901-1 � orf7 � + � PhiC31 � gp3 � GOI Integrase, RDF � Split Sites � Dimerizable Domains � Orientation � 10 � Motivation � Design Achievements � Background � Results �

  11. Splitting Method: How Do We Choose Where to Split The Proteins? � Primary Structure � Tertiary Structure � Quaternary Structure � Secondary Structure � Integrase, RDF � Split Sites � Dimerizable Domains � Orientation � 11 � Motivation � Design Achievements � Background � Results �

  12. Splitting Method: How Do We Choose Where to Split The Proteins? � 1. Avoid interior regions � 2. Avoid secondary structures � 3. Avoid catalytic domain � Hydrophobic � Hydrophilic � Alpha Helices � Beta Sheets � Courtesy of Billy Law and Wilson Wong � Catalytic Residues � Catalytic Domain DNA Binding Domain Billy Law Integrase, RDF � Split Sites � Dimerizable Domains � Orientation � 12 � Motivation � Design Achievements � Background � Results �

  13. Identification of Conditionally Dimerizable Domains � CRY2 � FKBP � PYL � Abscisic Acid FRB � ABI � CIBN � Stuart Schreiber et al. Nature 1996 Gerald R. Crabtree et al. Science Signaling 2011 Chandra L Tucker et al. Nature 2010 Integrase, RDF � Split Sites � Dimerizable Domains � Orientation � 13 � Motivation � Design Achievements � Background � Results �

  14. Identification of Conditionally Dimerizable Domains � CRY2 � FKBP � PYL � Abscisic Acid FRB � ABI � CIBN � N-terminal � C-terminal � Stuart Schreiber et al. Nature 1996 N-terminal � C-terminal � Gerald R. Crabtree et al. Science Signaling 2011 Chandra L Tucker et al. Nature 2010 Integrase, RDF � Split Sites � Dimerizable Domains � Orientation � 14 � Motivation � Design Achievements � Background � Results �

  15. Experimental Pipeline � 1. Cloning � 15 � Motivation � Design Achievements � Background � Results �

  16. Experimental Pipeline � Protein DNA � Mammalian � Expression � Backbones � 1. Cloning � 16 � Motivation � Design Achievements � Background � Results �

  17. Experimental Pipeline � 1. Cloning � 17 � Motivation � Design Achievements � Background � Results �

  18. Experimental Pipeline � 1. Cloning � E. Coli � 18 � Motivation � Design Achievements � Background � Results �

  19. � Experimental Pipeline � 1. Cloning � 1. Cloning � 2. Purification � 19 � Motivation � Design Achievements � Background � Results �

  20. � � � Experimental Pipeline � 1. Cloning � 2. Purification � 3. Transfection � 20 � Motivation � Design Achievements � Background � Results �

  21. � � � � � � � � Experimental Pipeline � 1. Cloning � 2. Purification � 3. Transfection � 3. Transfection � 4. Flow Cytometry � 21 � Motivation � Design Achievements � Background � Results �

  22. Experimental Pipeline � mRuby Integrase N-Terminal Domain Dimerizable Domain � Dimerizable Domain Integrase C-Terminal Domain � mRuby 22 � Motivation � Design Achievements � Background � Results �

  23. Experimental Pipeline � Dimerized Integrase � 23 � Motivation � Design Achievements � Background � Results �

  24. Experimental Pipeline � mRuby INDUCER � RDF N-Terminal Domain Dimerizable Domain � Dimerizable Domain RDF C-Terminal Domain � mRuby 24 � Motivation � Design Achievements � Background � Results �

  25. Experimental Pipeline � mRuby mRuby 25 � Motivation � Design Achievements � Background � Results �

  26. Characterization of Dimerizable Integrase and RDF Constructs � 137 78 Integrase Constructs Constructs Tested 18 6 RDF Constructs Constructs Tested 26 � Motivation � Design Achievements � Background � Results �

  27. Normalizing activity � split protein mRuby fluoresence (a.u.) % mRuby expression = 100 x full protein mRuby fluoresence (a.u) 27 � Motivation � Design � Results Achievements � Background �

  28. Functional split TP901-1 activity! � 28 � Motivation � Design � Results Achievements � Background �

  29. Functional split PhiC31 activity! � 29 � Motivation � Design � Results Achievements � Background �

  30. Does split site location affect activity? � 30 � Motivation � Design � Results Achievements � Background �

  31. Does orientation of domain affect activity? � 31 � Motivation � Design � Results Achievements � Background �

  32. Integrase + RDF Part Characterization � ABI Biobrick Prefix Biobrick Suffix PYL Biobrick Prefix Biobrick Suffix Orf7 Biobrick Prefix Biobrick Suffix 32 � Motivation � Design � Results � Achievements Background �

  33. Application #2: Conditionally Dimerizable SaCas9 for inducible in-vivo genome editing � Background Motivation Design � Design Results Achievements Background �

  34. Overview of Cas9 � sgRNA � Target Sequence � PAM Sequence � Insertion Deletion Mutation Sander, Jeffry D., Joung, J. Keith, “CRISPR-Cas systems for editing, regulating, and targeting genomes”, Nature Biotechnology, 2013. 34 � Motivation Design � Achievements � Background � Results �

  35. SpCas9 vs. SaCas9 � We would like to control the activity of staphylococcus aureus Cas9 (SaCas9 SaCas9) � Adeno Associated Virus can hold ~4.7kb � SaCas9: ~3.3kb | NLS: 42 bp | FKBP: 327bp | FRB: 276bp Size ~4.3kb = ~3.9kb � sgRNA SpCas9 Size ~3.3kb SaCas9 sgRNA Daya, Shyam, Berns, Kenneth I., “Gene Therapy using Adeno-Associated Virus Vectors”, Clinical Microbiology Reviews, 2008. Feng Zhang et al. “In vivo genome editing using Staphylococcus aureus Cas9”, Nature, 2015 35 � Motivation Design � Achievements � Background � Results �

  36. Experimental Pipeline � PAM Sequence � Target Sequence � Scharenberg, Andrew M. et al., “Tracking genome engineering outcome at individual DNA breakpoints”, Nature Methods, 2011 36 � Motivation � Design Achievements � Background � Results �

  37. Experimental Pipeline � 37 � Motivation � Design Achievements � Background � Results �

  38. Experimental Pipeline � EGFP mCherry 2-bp frameshift � renders this Gibberish � EGFP Non-homologous End Joining � Homology Directed Repair � Scharenberg, Andrew M. et al., “Tracking genome engineering outcome at individual DNA breakpoints”, Nature Methods, 2011 38 � Motivation � Design Achievements � Background � Results �

Download Presentation
Download Policy: The content available on the website is offered to you 'AS IS' for your personal information and use only. It cannot be commercialized, licensed, or distributed on other websites without prior consent from the author. To download a presentation, simply click this link. If you encounter any difficulties during the download process, it's possible that the publisher has removed the file from their server.

Recommend


More recommend