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Related Concept Videos

MAPK Signaling Cascades01:07

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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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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
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Mitogens and their receptors play a crucial role in controlling the progression of the cell cycle. However, the loss of mitogenic control over cell division leads to tumor formation. Therefore, mitogens and mitogen receptors play an important role in cancer research. For instance, the epidermal growth factor (EGF) - a type of mitogen and its transmembrane receptor (EGFR), decides the fate of the cell's proliferation. When EGF binds to EGFR, a member of the ErbB family of tyrosine kinase...
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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...
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The mammalian target of rapamycin or mTOR protein was discovered in 1994 due to its direct interaction with rapamycin. The protein gets its name from a yeast homolog called TOR. The mTOR protein complex in mammalian cells plays a major role in balancing anabolic processes such as the synthesis of proteins, lipids, and nucleotides and catabolic processes, such as autophagy in response to environmental cues, such as availability of nutrients and growth factors.
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Related Experiment Video

Updated: Jun 11, 2025

Light-mediated Reversible Modulation of the Mitogen-activated Protein Kinase Pathway during Cell Differentiation and Xenopus Embryonic Development
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Mathematical Modeling and Inference of Epidermal Growth Factor-Induced Mitogen-Activated Protein Kinase Cell

Jinping Feng1, Xinan Zhang2, Tianhai Tian3

  • 1School of Mathematics and Statistics, Henan University, Kaifeng 475001, China.

International Journal of Molecular Sciences
|September 28, 2024
PubMed
Summary

Mathematical modeling of the mitogen-activated protein kinase (MAPK) pathway, enhanced by single-cell proteomics, offers new insights into cellular regulation. This approach improves understanding and prediction of complex signaling networks for disease research.

Keywords:
cell signaling pathwayepidermal growth factorinferencemathematical modelmitogen-activated protein kinasesingle cell

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Area of Science:

  • Cellular Biology
  • Systems Biology
  • Bioinformatics

Background:

  • The mitogen-activated protein kinase (MAPK) pathway is crucial for cellular processes, and understanding its regulation is key for disease therapies.
  • Cellular heterogeneity and signaling network complexity necessitate advanced analytical tools.

Purpose of the Study:

  • To review how mathematical modeling of the MAPK pathway enhances understanding of its regulatory mechanisms.
  • To highlight the impact of single-cell proteomic data on MAPK pathway modeling and inference.
  • To demonstrate the synergy between mathematical modeling, statistical inference, and experimental biology.

Main Methods:

  • Comprehensive literature review focusing on mathematical modeling approaches for the MAPK pathway.
  • Analysis of recent advances in single-cell proteomic technologies and their application to signaling pathway analysis.
  • Discussion of statistical methods for inferring pathway topology and estimating parameters in dynamic models.

Main Results:

  • Mathematical modeling provides deep insights into MAPK pathway regulation and predicts system behavior.
  • Single-cell proteomics enables detailed investigation of signaling heterogeneity.
  • Integration of modeling and single-cell data advances understanding of complex cellular networks.

Conclusions:

  • Mathematical modeling is indispensable for deciphering MAPK pathway regulation and informing experimental design.
  • Advances in single-cell proteomics combined with modeling offer powerful tools for systems biology research.
  • This integrated approach is vital for developing targeted therapies for diseases linked to MAPK signaling.