Abstract

Extracellular response kinase (ERK) is one of the key regulator of cell fate, such as proliferation, differentiation and cell migration. Here, we propose a novel experimental pipeline to learn ERK kinetics by temporal growth factor (GF) stimulation. High signal-to-noise ratio of genetically encoded Fluorescence resonance energy transfer (FRET) biosensor enables to get a large number of single-cell ERK activity at each time point, while computer-controlled microfluidics fine-tune the temporal stimulation. Using this platform, we observed that static Epidermal growth factor (EGF) stimulation led to transient ERK activation with a significant cell-to-cell variation, while dynamic stimulation of 3′ EGF pulse led to faster adaptation kinetics with no discrepancy. Multiple EGF pulses retriggered ERK activity with respect to frequency of stimulation. We also observed oscillation of ERK activity of each cell at basal state. Introducing of Mitogen-activated protein kinase kinase (MEK) inhibitor, U0126, was not only dropping the average of basal activity for 7.5%, but also diminishing oscillatory behavior. Activity level raised up when inhibitor was removed, followed by transient peak of ERK kinetics. We expect this platform to probe Mitogen-associated protein kinase (MAPK) signaling network for systems biology research at single cellular level.

Highlights

  • By measuring the intensity of ratio-metric single cell images, we analyzed the discrepancy of individual Extracellular response kinase (ERK) kinetics to various stimulation patterns; sustained, pulsed and multi-pulsed

  • Presenting of Mitogen-activated protein kinase kinase (MEK) inhibitor, U0126, was able to drop the average of basal activity and eliminate amplitude of oscillation

  • Fluorescence resonance energy transfer (FRET) based ratio-metric biosensor have been a powerful tool for research on cell signaling dynamics

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Summary

Introduction

Selimkhanov et al reported complex kinetics of ERK, calcium and NF-κB by EGF, ATP and LPS20. These methods were limited to static stimuli, which acts as a limiting factor in the analysis of the system properties of the molecular pathways. Controlled temporal stimulation is to overcome these limitations, by providing a quantitative input, giving the mathematical characteristics about the pathway, and enabled dynamic regulation of the gene expression[21,22]. Taking advantage of precise control of the stimulation regimes and high-throughput imaging capability with air objectives, we expect this integrated platform to be used to obtain quantitative data, establishing advanced mathematical models of MAPK dynamics.

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