A population‐based temporal logic gate for timing and recording chemical events

Abstract

Engineered bacterial sensors have potential applications in human health monitoring, environmental chemical detection, and materials biosynthesis. While such bacterial devices have long been engineered to differentiate between combinations of inputs, their potential to process signal timing and duration has been overlooked. In this work, we present a two‐input temporal logic gate that can sense and record the order of the inputs, the timing between inputs, and the duration of input pulses. Our temporal logic gate design relies on unidirectional DNA recombination mediated by bacteriophage integrases to detect and encode sequences of input events. For an E. coli strain engineered to contain our temporal logic gate, we compare predictions of Markov model simulations with laboratory measurements of final population distributions for both step and pulse inputs. Although single cells were engineered to have digital outputs, stochastic noise created heterogeneous single‐cell responses that translated into analog population responses. Furthermore, when single‐cell genetic states were aggregated into population‐level distributions, these distributions contained unique information not encoded in individual cells. Thus, final differentiated sub‐populations could be used to deduce order, timing, and duration of transient chemical events.

Document Details

Document Type
Pub Defense Publication
Publication Date
May 01, 2016
Source ID
10.15252/msb.20156663

Entities

People

  • Paul Wk Rothemund
  • Richard M. Murray
  • Victoria Hsiao
  • Yutaka Hori

Organizations

  • Army Research Office
  • California Institute of Technology
  • Japan Society for the Promotion of Science
  • Keio University
  • United States Department of Defense

Tags

Fields of Study

  • Biology

Readers

  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Integrated Circuit Design and Technology.
  • Molecular Genetics

Technology Areas

  • Biotechnology