Highly Extensible Programmed Biosensing Circuits with Fast Memory

Abstract

The overall aim of the project is to develop a robust platform for an array based detector that could sense, distinguish and quantify diverse collections of environmental analytes. We have previously developed cell based reporters that afford the ability to recognize a large number of chemicals, built around G-protein coupled receptors (GPCRs), which provide high diversity and broad specificity. To render this detector system able to function in real time, we are applying synthetic biology approaches to engineer cells with a fast, phosphorylation based memory circuit. This solves two problems: the readout is based on protein phosphorylation and thus occurs within seconds. Second, the response, once established, remains fixed, so that the readout can be analyzed without a transient loss of signal. In order to interpret the results we obtain from the proposed array detector, we have developed a Bayesian-based computational method for extracting the identities and amounts of compounds in a mixture. Applying our computation approach to results obtained with a prototype GPCR-based array, we were able to extract the identity and amounts of compounds in complex mixtures. This provides validation of the method, which could be of broad use for any array based detector system.

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Document Details

Document Type
Technical Report
Publication Date
Dec 16, 2011
Accession Number
ADA559064

Entities

People

  • Alexandre Morozov
  • James Broach
  • Ron Weiss

Organizations

  • Princeton University

Tags

Communities of Interest

  • Biomedical
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Biosensors
  • Chemical Compounds
  • Chemistry
  • Complex Mixtures
  • Computational Science
  • Detection
  • Detectors
  • Engineering
  • Fungi
  • Genetic Structures
  • Recognition
  • Standards
  • Steady State
  • Students
  • Synthetic Biology
  • Toggle Switches

Readers

  • Analytical Chemistry
  • Distributed Systems and Data Platform Development
  • Image Processing and Computer Vision.

Technology Areas

  • AI & ML
  • Biotechnology