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Synthetic Biology (The Cell as a Nanosystem) ARC Bioinformatics UC Davis Summer 2006
 
Synthetic Biology ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
 
DNA  2.0 ,[object Object]
Nano-Bio-Info-Tech (NBIT) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Some  Definitions… ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Bio-Nano  Convergence
Bio-Nano  Machinery ,[object Object],Earth’s early nanostructures ~ 2 billion years ago
NanoBio Convergence ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
 
Affymetrix  GeneChip™
Nature’s Toolkit ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Molecular  Self Assembly Figure1:  3D diagram of a lipid bilayer membrane - water molecules not represented for clarity http://www.shu.ac.uk/schools/research/mri/model/micelles/micelles.htm   ,[object Object],[object Object],[object Object]
Viral  Self-Assembly http://www.virology.net/Big_Virology/BVunassignplant.html
Self-Assembled  Algorithms ---------------------------  1010110001011010 ATGCCAGTACTGG TACGGTCATGACC 0101001110100101 ---------------------------
Bio-Nano-Info ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Nano-Bio-Info-Tech Nano Bio Info Self assembly Microarrays, BioMEMS Quantum computing nanoelectronic devices Digital cells DNA computing insilico biology Concept by Robert Cormia
Bio- Informatics ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Goal of  Digital Cells ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Digital Cell Components ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Digital Cell  Basics http://www.ee.princeton.edu/people/Weiss.php
Digital Cell Circuit  (1) INVERSE LOGIC. A digital inverter that consists of a gene encoding the instructions for protein B and containing a region (P) to which protein A binds. When A is absent (left)—a situation representing the input bit 0—the gene is active. and B is formed—corresponding to an output bit 1. When A is produced (right)—making the input bit 1—it binds to P and blocks the action of the gene—preventing B from being formed and making the output bit 0.  Weiss  http://www.ee.princeton.edu/people/Weiss.php
Digital Cell Circuit  (2) In this biological AND gate, the input proteins X and Y bind to and deactivate different copies of the gene that encodes protein R. This protein, in turn, deactivates the gene for protein Z, the output protein. If X and Y are both present, making both input bits 1, then R is not built but Z is, making the output bit 1. In the absence of X or Y or both, at least one of the genes on the left actively builds R, which goes on to block the construction of Z, making the output bit 0.  Weiss http://www.ee.princeton.edu/people/Weiss.php
Digital Cells – Bio  Informatics http://www.ee.princeton.edu/people/Weiss.php   Modeling life as an information system
Gene Regulatory  Network
Basic GRN  Circuit Flow Gross anatomy of a minimal gene regulatory network (GRN) embedded in a regulatory network. A regulatory network can be viewed as a cellular input-output device.   http://doegenomestolife.org/
http://doegenomestolife.org/ Gene regulatory networks ‘interface’ with cellular processes
Information   vs.   Processing Just as in a computer, data bits and processing bits are made from the same material, 0 or 1, or A, T, C, G, or U in biology
Nature as a Computer ,[object Object],[object Object]
E-Cell ,[object Object]
Computer Modeling Metabolic Pathways ,[object Object],[object Object]
Digital Cells  Meet Synthetic Biology ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Gene Therapy ,[object Object],http://en.wikipedia.org/wiki/Gene_therapy
DNA Vaccines ,[object Object],[object Object],[object Object],[object Object]
Animal  Model Systems ,[object Object],[object Object],[object Object],[object Object],[object Object]
Stem Cell   Technology ,[object Object]
Cell as a  Nanosystem ,[object Object],[object Object],[object Object],[object Object],[object Object]
Green Algae at  Work Making H 2 Algal cell suspension / cells Thylakoid membrane   These little critters are very happy just to be working!
Proposed  Engineered H 2  Bacterium http://gcep.stanford.edu/pdfs/tr_hydrogen_prod_utilization.pdf
In Vitro  Photo-Production of H 2 Yellow arrow marks insertion of hydrogenase promoter. Right side data  cell optimized for continuous H 2  production .
Synthetic Biology  Roadmap ,[object Object],[object Object],[object Object],[object Object]
Role of Bioinformatics ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Global Gene Expression Gene expression tells you  how  the machine is working Bioinformatics shows you  where  the control points are
Reprogramming the Cell ,[object Object],[object Object]
Synthetic Proteins All proteins are  ‘synthetic’  – peptides => polymers
Synthetic Proteins ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Nature as a NanoToolbox http://www.cse.ucsc.edu/~hongwang/ATP_synthase.html
Summary ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
References ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

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Synthetic Biology

  • 1. Synthetic Biology (The Cell as a Nanosystem) ARC Bioinformatics UC Davis Summer 2006
  • 2.  
  • 3.
  • 4.  
  • 5.
  • 6.
  • 7.
  • 9.
  • 10.
  • 11.  
  • 13.
  • 14.
  • 15. Viral Self-Assembly http://www.virology.net/Big_Virology/BVunassignplant.html
  • 16. Self-Assembled Algorithms --------------------------- 1010110001011010 ATGCCAGTACTGG TACGGTCATGACC 0101001110100101 ---------------------------
  • 17.
  • 18. Nano-Bio-Info-Tech Nano Bio Info Self assembly Microarrays, BioMEMS Quantum computing nanoelectronic devices Digital cells DNA computing insilico biology Concept by Robert Cormia
  • 19.
  • 20.
  • 21.
  • 22. Digital Cell Basics http://www.ee.princeton.edu/people/Weiss.php
  • 23. Digital Cell Circuit (1) INVERSE LOGIC. A digital inverter that consists of a gene encoding the instructions for protein B and containing a region (P) to which protein A binds. When A is absent (left)—a situation representing the input bit 0—the gene is active. and B is formed—corresponding to an output bit 1. When A is produced (right)—making the input bit 1—it binds to P and blocks the action of the gene—preventing B from being formed and making the output bit 0. Weiss http://www.ee.princeton.edu/people/Weiss.php
  • 24. Digital Cell Circuit (2) In this biological AND gate, the input proteins X and Y bind to and deactivate different copies of the gene that encodes protein R. This protein, in turn, deactivates the gene for protein Z, the output protein. If X and Y are both present, making both input bits 1, then R is not built but Z is, making the output bit 1. In the absence of X or Y or both, at least one of the genes on the left actively builds R, which goes on to block the construction of Z, making the output bit 0. Weiss http://www.ee.princeton.edu/people/Weiss.php
  • 25. Digital Cells – Bio Informatics http://www.ee.princeton.edu/people/Weiss.php Modeling life as an information system
  • 26. Gene Regulatory Network
  • 27. Basic GRN Circuit Flow Gross anatomy of a minimal gene regulatory network (GRN) embedded in a regulatory network. A regulatory network can be viewed as a cellular input-output device. http://doegenomestolife.org/
  • 28. http://doegenomestolife.org/ Gene regulatory networks ‘interface’ with cellular processes
  • 29. Information vs. Processing Just as in a computer, data bits and processing bits are made from the same material, 0 or 1, or A, T, C, G, or U in biology
  • 30.
  • 31.
  • 32.
  • 33.
  • 34.
  • 35.
  • 36.
  • 37.
  • 38.
  • 39. Green Algae at Work Making H 2 Algal cell suspension / cells Thylakoid membrane  These little critters are very happy just to be working!
  • 40. Proposed Engineered H 2 Bacterium http://gcep.stanford.edu/pdfs/tr_hydrogen_prod_utilization.pdf
  • 41. In Vitro Photo-Production of H 2 Yellow arrow marks insertion of hydrogenase promoter. Right side data cell optimized for continuous H 2 production .
  • 42.
  • 43.
  • 44. Global Gene Expression Gene expression tells you how the machine is working Bioinformatics shows you where the control points are
  • 45.
  • 46. Synthetic Proteins All proteins are ‘synthetic’ – peptides => polymers
  • 47.
  • 48. Nature as a NanoToolbox http://www.cse.ucsc.edu/~hongwang/ATP_synthase.html
  • 49.
  • 50.