The Role of Single Occupancy Effects on Integrase Dynamics in a Cell-Free System

Abstract

Phage integrase-based circuits are an alternative approach to relying on transcriptional and translational repression for biomolecular circuits. Previous research has shown that circuits based on integrases can perform a variety of functions, including counters, Boolean logic operators, memory modules and temporal event detectors. It is therefore essential to develop a principled theoretical and experimental framework for the design, implementation and study of such circuits. One of the fundamental questions that such a framework should address concerns the functionality limitations and temporal dynamics of the integrases as regulatory elements. Here, we test the functionality of several large serine integrases from a recently published library in a cell-free transcription-translation (TX-TL) platform. Additionally, we use a combination of experimental data and models to investigate integrase dynamics as a function of enzyme concentration and number of binding sites. We report that sequestration of integrase molecules, either in the form of monomers or dimers, by the integrase's own binding sites dominates integrase dynamics, and that the delay in the activation of the reporter is negatively correlated with integrase plasmid concentration. We have validated our sequestration hypothesis by building a model with MATLABs SimBiology toolbox, and running simulations with various integrase and binding sites concentrations. The simulation results qualitatively match the experimental results, and offer further insights into the system.

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Document Details

Document Type
Technical Report
Publication Date
Jun 18, 2016
Accession Number
AD1053433

Entities

People

  • Clarmyra A. Hayes
  • Georgios Artavanis
  • Richard M. Murray
  • Victoria Hsiao

Organizations

  • California Institute of Technology

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Bioengineering
  • Cell-Free System
  • Cells
  • Chemical Reactions
  • Copyrights
  • Dynamic Response
  • Dynamics
  • Engineering
  • Experimental Data
  • Mathematical Models
  • Models
  • Molecules
  • Platforms
  • Simulations
  • Software Prototyping
  • Steady State
  • Synthetic Biology

Fields of Study

  • Biology

Readers

  • Computational Modeling and Simulation
  • Distributed Systems and Data Platform Development
  • Molecular Genetics