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Related Concept Videos

MAPK Signaling Cascades01:07

MAPK Signaling Cascades

Mitogen-activated protein kinase, or MAPK pathway, activates three sequential kinases to regulate cellular responses such as proliferation, differentiation, survival, and apoptosis. The canonical MAPK pathway starts with a mitogen or growth factor binding to an RTK. The activated RTKs stimulate Ras, which recruits Raf or MAP3 Kinase (MAPKKK), the first kinase of the MAPK signaling cascade. Raf further phosphorylates and activates MEK or MAP2 Kinases (MAPKK), which in turn phosphorylates MAP...

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Temporal Quantification of MAPK Induced Expression in Single Yeast Cells
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Dynamic analysis of MAPK signaling using a high-throughput microfluidic single-cell imaging platform.

R J Taylor1, D Falconnet, A Niemistö

  • 1Institute for Systems Biology, 1441 North 34th Street, Seattle, WA 98103, USA.

Proceedings of the National Academy of Sciences of the United States of America
|February 19, 2009
PubMed
Summary

Researchers developed a microfluidic platform for high-throughput single-cell analysis. This system enables detailed studies of cellular responses to genetic changes and dynamic environments, revealing new insights into cell decision-making.

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Area of Science:

  • Cellular biology
  • Systems biology
  • Biophysics

Background:

  • Cells utilize complex biomolecular networks to respond to environmental cues.
  • Understanding emergent network properties requires analyzing cellular responses under diverse conditions.
  • Scalable analysis of cell behavior under dynamic conditions has been a technological challenge.

Purpose of the Study:

  • To develop a high-throughput platform for single-cell analysis of network responses.
  • To investigate cellular decision-making under combined genetic perturbations and time-varying stimuli.
  • To explore the mating pheromone response in Saccharomyces cerevisiae.

Main Methods:

  • Developed a microfluidic imaging platform with programmable on-chip mixing and perfusion.
  • Utilized 2,048 microfluidic cell traps for high-throughput live-cell imaging.
  • Performed 256 simultaneous time-lapse experiments analyzing 8 genotypes over 12 hours with 32 stimulation sequences.

Main Results:

  • Conducted over 3,000 live-cell imaging experiments across 12 devices.
  • Analyzed 11 deletion mutants, identifying distinct thresholds for morphological switching.
  • Observed novel dynamic phenotypes, including stimulus-frequency-dependent signaling in specific mutants (kss1Δ, fus3Δ, msg5Δ, ptp2Δ), suggesting roles in filtering and memory.

Conclusions:

  • The developed platform enables scalable, time-resolved studies of single-cell responses.
  • Dynamic cellular phenotypes and network memory mechanisms were revealed under varying conditions.
  • This technology provides a powerful tool for systems-level investigations of cellular decision-making.