Molecular Time Sharing Through Dynamic Pulsing in Single Cells

Abstract

In cells, specific regulators often compete for limited amounts of a core enzymatic resource. It is typically assumed that competition leads to partitioning of core enzyme molecules among regulators at constant levels. Alternatively, however, different regulatory species could time share, or take turns utilizing, the core resource. Using quantitative time-lapse microscopy, we analyzed sigma factor activity dynamics, and their competition for RNA polymerase, in individual Bacillus subtilis cells under energy stress. Multiple alternative sigma factors were activated in approx. 1-hr pulses in stochastic and repetitive fashion. Pairwise analysis revealed that two sigma factors rarely pulse simultaneously and that some pairs are anti-correlated, indicating that RNAP utilization alternates among different sigma factors. Mathematical modeling revealed how stochastic time-sharing dynamics can emerge from pulse-generating sigma factor regulatory circuits actively competing for RNAP. Time sharing provides a mechanism for cells to dynamically control the distribution of cell states within a population. Since core molecular components are limiting in many other systems, time sharing may represent a general mode of regulation.

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Document Details

Document Type
Technical Report
Publication Date
Feb 28, 2018
Accession Number
AD1079480

Entities

People

  • James C. Locke
  • Jin Park
  • Jordi Garcia-Ojalvo
  • Maria J. Hernandez-jimenez
  • Marta Dies
  • Michael Elowitz
  • Sahand Hormoz
  • Sofia Quinodoz
  • Stephanie E. Smith-unna
  • Yihan Lin

Organizations

  • California Institute of Technology

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Bacteria
  • Cell Lineage
  • Cell Physiological Processes
  • Cells
  • Cellular Structures
  • Chemistry
  • Computational Science
  • Computer Programs
  • Cross Correlation
  • Detection
  • Equations
  • Escherichia Coli
  • Free Energy
  • Gene Expression
  • Mathematical Models
  • Microbiology
  • Proteins

Fields of Study

  • Biology

Readers

  • Electrical Engineering
  • Molecular Genetics
  • Systems Analysis and Design