Related Experiment Video
Updated: Jul 9, 2025
11:54
Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
Published on: May 8, 2021
4.4K
A guide to ERK dynamics, part 1: mechanisms and models
Abhineet Ram1, Devan Murphy1, Nicholaus DeCuzzi1
1Department of Molecular and Cellular Biology, University of California, Davis, U.S.A.
The Biochemical Journal
|December 1, 2023
Summary
The extracellular signal-regulated kinase (ERK) pathway
Area of Science:
- Cellular signaling and molecular biology
- Signal transduction pathways
- Systems biology
Background:
- The extracellular signal-regulated kinase (ERK) pathway regulates fundamental cellular processes like growth, proliferation, and death.
- Understanding how a single pathway directs diverse cell behaviors remains a key challenge.
- ERK pathway dynamics are highly variable and heterogeneous, influencing cell fate.
Purpose of the Study:
- To review the current understanding of ERK pathway dynamics.
- To explore how ERK activity patterns regulate cellular decisions and tissue pathology.
- To discuss technological and computational advances in studying ERK signaling.
Main Methods:
- Optogenetic and live-cell imaging technologies to reveal ERK dynamics.
- Development of biosensors for real-time ERK activity monitoring.
- Mathematical modeling of ERK pathway mechanisms, including feedback and signaling.
Main Results:
- Temporal patterns of ERK activity are critical determinants of cell fate.
- Higher resolution imaging and advanced computational tools enable quantitative single-cell analysis.
- Current models struggle to fully explain the diversity of ERK responses.
Conclusions:
- Dynamic ERK activity patterns provide mechanistic insights into pathway circuitry.
- Quantitative measurements of single-cell ERK activation inform pathway behavior models.
- Further research is needed to understand network structure and signal transduction for comprehensive ERK pathway modeling.
Keywords:
biological networkscomputational modelsepidermal growth factor receptorextracellular signal-regulated kinasesmitogen-activated protein kinasesreceptor tyrosine kinasesMore Related Videos
10:44Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
Published on: December 7, 2021
2.2K
09:04A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump
Published on: June 1, 2022
3.1K
Related Concept Videos
01:23Mechanistic Models: Compartment Models in Individual and Population Analysis
43
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
43
01:24One-Degree-of-Freedom System
491
In mechanical engineering, one-degree-of-freedom systems form the basis of a wide range of electrical and mechanical components. Using these models, engineers can predict the behavior of various parts in a larger system, which gives them insight into how different forces interact with each other.
A one-degree-of-freedom system is defined by an independent variable that determines its state and behavior. One example of a one-degree-of-freedom system is a simple harmonic oscillator, such as a...
A one-degree-of-freedom system is defined by an independent variable that determines its state and behavior. One example of a one-degree-of-freedom system is a simple harmonic oscillator, such as a...
491
01:29Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving
56
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
56
01:27Levels of Communication II: Organizational, Public, and Group Dynamics
2.1K
Effective communication is the foundation of a good organization. Communication is the lifeblood of an organization that connects the group with messages. In an organization, communication occurs in upward, downward, and horizontal lines. Downward communication travels from the administrative and senior levels to the staff through official channels such as manuals, rules and regulations, and organizational charts. Staff members initiate upward communication, which is addressed to executives and...
2.1K
01:21Mechanistic Models: Overview of Compartment Models
87
Mechanistic models, a category encompassing both physiological and compartmental modeling, differ from empirical models' approaches to incorporating known factors about the systems being modeled. Empirical models describe data with minimal assumptions, while mechanistic models aim to provide a robust description of available data by specifying assumptions and integrating known factors about the system. Compartmental analysis is a key example of a mechanistic model in pharmacokinetics and...
87
01:30Typical Model Studies
361
Fluid mechanics model studies often utilize scaled-down systems to predict fluid behavior in full-scale environments, such as river flows, dam spillways, and structures interacting with open surfaces. Maintaining Froude number similarity in river models is crucial, as it replicates surface flow features like wave patterns and velocities.
361