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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...
Yeast Signaling01:28

Yeast Signaling

Yeasts are single-celled organisms, but unlike bacteria, they are eukaryotes (cells with a nucleus). Cell signaling in yeast is similar to signaling in other eukaryotic cells. A ligand, such as a protein or a small molecule released from a yeast cell, attaches to a receptor on the cell surface. The binding stimulates second-messenger kinases to activate or inactivate transcription factors that further regulate gene expression. Many of the yeast intracellular signaling cascades have similar...
Amplifying Signals via Enzymatic Cascade01:22

Amplifying Signals via Enzymatic Cascade

When a ligand binds to a cell-surface receptor, the receptor's intracellular domain changes shape, which may either activate its enzyme function or allow its binding to other molecules. The initial signal is amplified by most signal transduction pathways. This means that a single ligand molecule can activate multiple molecules of a downstream target. Proteins that relay a signal are most commonly phosphorylated at one or more sites, activating or inactivating the protein. Kinases catalyze the...
Interactions Between Signaling Pathways01:19

Interactions Between Signaling Pathways

Signaling cascades usually lack linearity. Multiple pathways interact and regulate one another, allowing cells to integrate and respond to diverse environmental stimuli.
Convergence and divergence, and cross-talk between signaling pathways
Two distinct signaling pathways can converge on a single functional unit, which may either be a single protein or a complex of proteins. The response is either functionally distinct or synergistic between the two pathways but different from the response...
cAMP-dependent Protein Kinase Pathways01:25

cAMP-dependent Protein Kinase Pathways

Cyclic Adenosine Monophosphate (cAMP) is an essential second messenger that activates protein kinase A (PKA) and regulates various biological processes. A single epinephrine molecule binds to GPCR and activates several heterotrimeric G proteins, each stimulating multiple adenylyl cyclase, amplifying the signal, and synthesizing large numbers of cAMP molecules. Small changes in cAMP concentration affect PKA activity. The binding of four cAMP molecules induces a conformational change in PKA,...
Calmodulin-dependent Signaling01:16

Calmodulin-dependent Signaling

Calmodulin (CaM) is a calcium-binding protein in eukaryotes that controls various calcium-regulated cellular processes. It has four calcium-binding sites that bind calcium to form the calcium-calmodulin ( Ca2+-CaM) complex. GPCR stimulation increases the calcium levels in the cells that bind to CaM and induces a conformational change.
The Ca2+-CaM complex does not have enzymatic activity by itself. Instead, the complex binds downstream target proteins, including membrane proteins or enzymes,...

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Related Experiment Video

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Temporal Quantification of MAPK Induced Expression in Single Yeast Cells
07:59

Temporal Quantification of MAPK Induced Expression in Single Yeast Cells

Published on: October 4, 2013

Computational yeast systems biology: a case study for the MAP kinase cascade.

Edda Klipp1

  • 1Theoretical Biophysics, Humboldt-Universität zu Berlin, Berlin, Germany. edda.klipp@rz.hu-berlin.de

Methods in Molecular Biology (Clifton, N.J.)
|August 25, 2011
PubMed
Summary

This study details mathematical modeling of cellular signaling pathways, using a MAP kinase (MAPK) cascade as an example. It demonstrates analysis methods for understanding signal transduction dynamics and proposes standards for systems biology modeling.

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Area of Science:

  • Systems biology
  • Mathematical modeling of biological systems
  • Cellular signal transduction

Background:

  • Cellular networks and processes are complex and can be mathematically analyzed.
  • Signal transduction pathways, like MAP kinase (MAPK) cascades, are crucial for cellular communication.

Purpose of the Study:

  • To detail the formulation of ordinary differential equations for modeling signal transduction pathways.
  • To explain and demonstrate various analysis methods for these mathematical models.
  • To provide a perspective on standards for systems biology modeling.

Main Methods:

  • Formulation of ordinary differential equations (ODEs) to describe temporal dynamics.
  • Application of stoichiometric analysis to the model.
  • Conducting sensitivity analysis to identify key parameters.
  • Simulating the effects of genetic perturbations like deletions and protein overexpression.

Main Results:

  • A step-by-step guide to developing ODE models for signal transduction.
  • Demonstration of how different analysis techniques reveal pathway behavior.
  • Insights into the impact of specific molecular changes on signaling dynamics.

Conclusions:

  • Mathematical modeling is a powerful tool for dissecting cellular signaling.
  • Analysis of ODE models provides quantitative understanding of pathway function.
  • Standardization in systems biology modeling is essential for reproducibility and collaboration.