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Related Concept Videos

Synthetic Biology02:55

Synthetic Biology

Synthetic biology is an interdisciplinary science that involves using principles from disciplines such as engineering, molecular biology, cell biology, and systems biology. It involves remodeling existing organisms from nature or constructing completely new synthetic organisms for applications such as protein or enzyme production, bioremediation, value-added macromolecule production, and the addition of desirable traits to crops, to name a few.
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Rapid Characterization of Genetic Parts with Cell-Free Systems
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A "lookup table" schema for synthetic biological patterning.

Frederick B Reitz1

  • 1Center on Human Development and Disability, University of Washington, Box 357920, Seattle, WA 98195-7920, USA. freitz@u.washington.edu

Theory in Biosciences = Theorie in Den Biowissenschaften
|February 22, 2012
PubMed
Summary
This summary is machine-generated.

This study proposes a genetic "lookup table" to encode organism development. Diffusive signals and kinase gene interactions control enzyme activation, enabling the specification of complex biological structures and developmental sequences.

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Area of Science:

  • Developmental biology
  • Systems biology
  • Synthetic morphology

Background:

  • Understanding the genetic basis of biological form and development is crucial.
  • Current models often lack a comprehensive mechanism for encoding complex 3D structures and temporal dynamics.
  • Synthetic morphology aims to engineer novel biological forms and functions.

Purpose of the Study:

  • To propose a novel genetic schema for encoding and implementing the three-dimensional structure and temporal development of biological organisms.
  • To provide a computational framework for synthetic morphology.
  • To explore the potential for specifying arbitrary gross anatomy, surface pigmentation, and developmental sequencing.

Main Methods:

  • A proposed schema utilizing diffusive morphogen gradients and/or global signal concentration to index kinase genes.
  • Specificity enhancement through concomitant expression of phosphatases.
  • Activation of enzymes within a virtual, multi-dimensional array via multiple phosphorylation, guided by a genetic 'lookup table'.
  • Development of a 2D surface coloration model and accompanying LabVIEW software.

Main Results:

  • The proposed schema provides a mechanism for indexing gene sets based on morphogen gradients and signal concentrations.
  • Kinase and phosphatase interactions create specific signaling pathways.
  • A virtual enzyme array, controlled by the 'lookup table', allows for spatio-temporal activation.
  • A model for 2D surface coloration demonstrates the schema's applicability.

Conclusions:

  • The proposed genetic 'lookup table' schema offers a viable mechanism for encoding complex biological development.
  • This framework has the potential to significantly advance the field of synthetic morphology.
  • The developed model and software provide tools for exploring and implementing this developmental encoding scheme.