Difference between revisions of "Team:Vanderbilt/Project/Achievements"

 
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<li>Invented an innovative software tool for minimizing any gene’s susceptibility to mutation</li>
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        <li>Invented an innovative software tool for minimizing any gene’s susceptibility to mutation</li>
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<li>Validated rapid spread of mutants in a genetically modified population by mathematical and empirical techniques</li>
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        <li>Validated rapid spread of mutants in a genetically modified population by mathematical and empirical techniques</li>
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<li>Experimentally validated decreased mutation in optimized sequences with</li>
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        <li>Experimentally validated decreased mutation in optimized sequences with</li>
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<ul><li>Multiple mutagen types (UV radiation, oxidation)</li>
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<li>Multiple quantification protocols (Alkaline gel, plasmid conformation, PCR inhibition)</li></ul>
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          <li>Multiple mutagen types (UV radiation, oxidation)</li>
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<li>Established high expression of optimized sequences</li>
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          <li>Multiple quantification protocols (Alkaline gel, plasmid conformation, PCR inhibition)</li>
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<li>Modeling and computational strategies for further improvements and expansion of software</li>
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<li>Investigated potential for nanopore sequencing to become next-generation of ultra high-throughput DNA damage detection</li>
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        <li>Established high expression of optimized sequences</li>
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        <li>Modeling and computational strategies for further improvements and expansion of software</li>
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        <li>Investigated potential for nanopore sequencing to become next-generation of ultra high-throughput DNA damage detection</li>
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<li>Introduced quantitative metric of expected evolutionary stability and computationally modeled simple circuits</li>
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<li>Invented software tool to analyze circuit designs, calculate stability, and suggest modifications to improvements </li>
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<li>Developed assays for measuring decreased recombination with homology-minimization software</li>
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<li>Constructed optimized circuit to demonstrate improved stability with VERT technique</li>
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<li>Validated bidirectional promoter for use with system to select against promoter mutation
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        <li>Introduced quantitative metric of expected evolutionary stability and computationally modeled simple circuits</li>
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<li>Cloned five exogenous DNA repair enzymes </li>
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        <li>Invented software tool to analyze circuit designs, calculate stability, and suggest modifications to improvements </li>
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<li>Incorporated KIKO vector for genomic integration and simultaneous knock-out</li>
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        <li>Developed software for minimizing sequence homology between synthesized genes</li>
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<li>Designed “Incorruptible Cell” that commits suicide instead of passing on mutations
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      <li>Designed assay for quantifying the effect of lowering homology on rates of unwanted recombination</li>
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</li></ul>
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        <li>Constructed optimized circuit to demonstrate improved stability with VERT technique</li>
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        <li>Validated bidirectional promoter for use with an antibiotic system to select against promoter mutation</li>
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       <img class="no-shadow fit" src="https://static.igem.org/mediawiki/2015/1/14/VU15_circuit_logo.png" style="width:70%;"/>
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  <h2> Organism </h2>
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  <div class='row'>
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  <div class="col-md-9">
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    <ul>
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      <li>Verified modeling predictions about population growth with simulated mutant cells</li>
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      <li> Calculated the selective pressure against transgene expression by comparing experimental data with the Price equation</li>
 +
      <li>Cloned five exogenous DNA repair enzymes </li>
 +
      <li>Incorporated KIKO vector for genomic integration and simultaneous knock-out</li>
 +
      <li>Designed “Incorruptible Cell” that commits suicide instead of passing on mutations</li>
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    </ul>
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  </div>
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  <div class="col-md-3">
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    <img class="no-shadow fit" src="https://static.igem.org/mediawiki/2015/2/27/VU15_organism_logo.png"  style="width:60%;"/>
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Latest revision as of 03:57, 26 November 2015

Vanderbilt iGEM 2015

Sequence

  • Invented an innovative software tool for minimizing any gene’s susceptibility to mutation
  • Validated rapid spread of mutants in a genetically modified population by mathematical and empirical techniques
  • Experimentally validated decreased mutation in optimized sequences with
    • Multiple mutagen types (UV radiation, oxidation)
    • Multiple quantification protocols (Alkaline gel, plasmid conformation, PCR inhibition)
  • Established high expression of optimized sequences
  • Modeling and computational strategies for further improvements and expansion of software
  • Investigated potential for nanopore sequencing to become next-generation of ultra high-throughput DNA damage detection

Circuit

  • Introduced quantitative metric of expected evolutionary stability and computationally modeled simple circuits
  • Invented software tool to analyze circuit designs, calculate stability, and suggest modifications to improvements
  • Developed software for minimizing sequence homology between synthesized genes
  • Designed assay for quantifying the effect of lowering homology on rates of unwanted recombination
  • Constructed optimized circuit to demonstrate improved stability with VERT technique
  • Validated bidirectional promoter for use with an antibiotic system to select against promoter mutation

Organism

  • Verified modeling predictions about population growth with simulated mutant cells
  • Calculated the selective pressure against transgene expression by comparing experimental data with the Price equation
  • Cloned five exogenous DNA repair enzymes
  • Incorporated KIKO vector for genomic integration and simultaneous knock-out
  • Designed “Incorruptible Cell” that commits suicide instead of passing on mutations


Team

About
Members
Attributes
Sponsors

Project

Background
Sequence
Circuit
Organism
Nanopore
Achievements

Parts

Part Collection
Optimized RFPs
Visualizing Evolution
Repair Enzymes

Notebook

May
June
July
August
September

Practices

Safety
Collaborations
Applications
Interlab

Software

Development
User Guide
Statistics

Modeling

Sequences
Circuits
Populations