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Digital Cells  Foothill College Nanotechnology  Image by John Alsop
 
Outline ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Central Dogma in Biology ,[object Object],[object Object],[object Object],Protein feedback Transcription control Transcription Translation
Concept of a Gene ,[object Object],[object Object],[object Object],[object Object],[object Object]
Fundamental Interactions There are three ‘semi-distinct’ layers of process and information space inside a cell – connected through molecular networks
The (Really) Big Picture Ion Channels Receptors Transcription Factors Ligands ELECTROPHYSIOLOGY Extracellular space Cytoplasm Nucleus Translation +  processing cis  sites Intracellular Signaling Genetic Regulatory Network mRNA
Proteins and Pathways
Cellular Operating System ,[object Object],[object Object],[object Object]
Genomic Decision Networks Simplified version of the phage decision network that determines whether an infected  E. coli  cell follows the lytic or lysogenic pathway.  Dashed arrows  indicate the direction of transcription, and  bold arrows  indicate regulatory interactions between a gene product and particular DNA region.
Oscillating Networks ,[object Object],[object Object],[object Object],[object Object],[object Object]
Strategy of Genes ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Mechanics of Transcription Genes rely on several molecular signals and processes to manifest a solution, which is part of a larger decision network
Genes are  just  Solutions ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Genetic Algorithms
Genetic Algorithms
Self-Assembled Algorithms ---------------------------  1010110001011010 ATGCCAGTACTGG TACGGTCATGACC 0101001110100101 ---------------------------
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
Basic GRN Circuits 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
Goal of Digital Cells ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Digital Cells ,[object Object],[object Object],[object Object],[object Object],[object Object]
Digital Cells 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
Gene Regulatory Network
Goals of Network Modelling ,[object Object],[object Object],[object Object],Molecular interaction  networks Molecular interaction  networks Molecular interaction  networks
Different Network Types ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Advantages of Graphical Representation ,[object Object],[object Object],[object Object]
Diagram Proposal by A.Funashi & H.Kitano ERK ERK Ras PDK-1 ERK ERK ERK RSK RSK RSK RSK RSK CREB c-Myc c-Myc Raf Ras Raf Raf MEK MEK ERK ERK CREB P P P P * * P P P P P P P P P P P P P P P P P Process Diagram
Process Diagram ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Notation of the Process Diagram A State transition –  changes the state of modification    rather than activation Activation Inhibition Translocation of module Dashes line indicates active state of a molecule Specific state of molecular species A
Gene Regulatory Networks ,[object Object],[object Object],activation or inhibition (instead of state transition & indicates ‘AND’ - relationship
Molecular Interaction Maps (M.Aladjem, K.Kohn) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Molecular Interaction Maps (MIM) ,[object Object],[object Object],[object Object],[object Object],[object Object]
Symbols / Conventions used in eMIMs A B A B C Ph’tase A A X Y Protein  A  and  B  can bind to each other The node represents the A:B complex Multimolecular complex:  x  is A:B;  y  is (A:B):C Endless extendable  Reactions: P P A B Covalent modification of protein A.  A can exist in a phosphorylated state. Cleavage of a covalent bond: dephosphorylation of A  by a phosphatase. Stoichiometric conversion of  A  to  B .
Symbols / Conventions used in eMIMs A A Reactions: Cytosol Nucleus Contingencies: Transport of  A  from cytosol to nucleus.  The dot represents  A  after transport to the nucleus. Formation of homodimer. Dot on the right represents  copy of  A . Dot on line represents the homodimer  A:A Enzymatic stimulation of a reaction Enzymatic of a reaction in  trans. Stimulation of a process. Bar indicates necessity. Inhibition Transcriptional activation Transcriptional inhibition
Molecular Interaction Map (eMIM)
KEGG ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Pathway Diagram in KEGG
Microarrays And Models Reliable Microarray  Measurements Predictive Models Model Validation Experiments Hypothesis Biology Engineering Delaware Biotech Institute
Pathway Kinetics
BioSPICE – Open Source http://biospice. lbl .gov/
BioCyc ,[object Object],[object Object],[object Object],[object Object]
 
E-Cell ,[object Object]
 
 
CellML ,[object Object],[object Object]
CellML < model  name =&quot; bi_egf_pathway_1999 &quot;  cmeta:id =&quot; bi_egf_pathway_1999 &quot;  xmlns =&quot; http://www.cellml.org/cellml/1.0# &quot;  xmlns:cellml =&quot; http://www.cellml.org/cellml/1.0# &quot;  xmlns:cmeta =&quot; http://www.cellml.org/metadata/1.0# &quot;  xmlns:mathml =&quot; http://www.w3.org/1998/Math/MathML &quot;> < rdf:Description  rdf:about =&quot;&quot;> <!--  The Human Readable Name metadata.  --> < dc:title > Epidermal growth factor stimulation of mitogen-associated protein kinase and activation of Ras </ dc:title >
SBML ,[object Object],[object Object],[object Object],[object Object]
 
Bio-Nano-Info ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],Three Dimensions of Nano
Self Assembly ,[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
Bio-Nano Convergence
Summary  ,[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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Digital Cells

  • 1. Digital Cells Foothill College Nanotechnology Image by John Alsop
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  • 6. Fundamental Interactions There are three ‘semi-distinct’ layers of process and information space inside a cell – connected through molecular networks
  • 7. The (Really) Big Picture Ion Channels Receptors Transcription Factors Ligands ELECTROPHYSIOLOGY Extracellular space Cytoplasm Nucleus Translation + processing cis sites Intracellular Signaling Genetic Regulatory Network mRNA
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  • 10. Genomic Decision Networks Simplified version of the phage decision network that determines whether an infected E. coli cell follows the lytic or lysogenic pathway. Dashed arrows indicate the direction of transcription, and bold arrows indicate regulatory interactions between a gene product and particular DNA region.
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  • 13. Mechanics of Transcription Genes rely on several molecular signals and processes to manifest a solution, which is part of a larger decision network
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  • 17. Self-Assembled Algorithms --------------------------- 1010110001011010 ATGCCAGTACTGG TACGGTCATGACC 0101001110100101 ---------------------------
  • 18. 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
  • 19. Basic GRN Circuits 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/
  • 20. http://doegenomestolife.org/ Gene regulatory networks ‘interface’ with cellular processes
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  • 24. 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
  • 25. 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
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  • 30. Diagram Proposal by A.Funashi & H.Kitano ERK ERK Ras PDK-1 ERK ERK ERK RSK RSK RSK RSK RSK CREB c-Myc c-Myc Raf Ras Raf Raf MEK MEK ERK ERK CREB P P P P * * P P P P P P P P P P P P P P P P P Process Diagram
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  • 32. Notation of the Process Diagram A State transition – changes the state of modification rather than activation Activation Inhibition Translocation of module Dashes line indicates active state of a molecule Specific state of molecular species A
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  • 36. Symbols / Conventions used in eMIMs A B A B C Ph’tase A A X Y Protein A and B can bind to each other The node represents the A:B complex Multimolecular complex: x is A:B; y is (A:B):C Endless extendable Reactions: P P A B Covalent modification of protein A. A can exist in a phosphorylated state. Cleavage of a covalent bond: dephosphorylation of A by a phosphatase. Stoichiometric conversion of A to B .
  • 37. Symbols / Conventions used in eMIMs A A Reactions: Cytosol Nucleus Contingencies: Transport of A from cytosol to nucleus. The dot represents A after transport to the nucleus. Formation of homodimer. Dot on the right represents copy of A . Dot on line represents the homodimer A:A Enzymatic stimulation of a reaction Enzymatic of a reaction in trans. Stimulation of a process. Bar indicates necessity. Inhibition Transcriptional activation Transcriptional inhibition
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  • 41. Microarrays And Models Reliable Microarray Measurements Predictive Models Model Validation Experiments Hypothesis Biology Engineering Delaware Biotech Institute
  • 43. BioSPICE – Open Source http://biospice. lbl .gov/
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  • 50. CellML < model name =&quot; bi_egf_pathway_1999 &quot; cmeta:id =&quot; bi_egf_pathway_1999 &quot; xmlns =&quot; http://www.cellml.org/cellml/1.0# &quot; xmlns:cellml =&quot; http://www.cellml.org/cellml/1.0# &quot; xmlns:cmeta =&quot; http://www.cellml.org/metadata/1.0# &quot; xmlns:mathml =&quot; http://www.w3.org/1998/Math/MathML &quot;> < rdf:Description rdf:about =&quot;&quot;> <!-- The Human Readable Name metadata. --> < dc:title > Epidermal growth factor stimulation of mitogen-associated protein kinase and activation of Ras </ dc:title >
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