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Related Concept Videos

Multimachine Stability01:25

Multimachine Stability

Multimachine stability analysis is crucial for understanding the dynamics and stability of power systems with multiple synchronous machines. The objective is to solve the swing equations for a network of M machines connected to an N-bus power system.
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:
Non-equilibrium in the Cell01:16

Non-equilibrium in the Cell

An important concept in studying metabolism and energy is that of chemical equilibrium. Most chemical reactions are reversible. They can proceed in both directions, releasing energy into their environment in one direction, and absorbing it from the environment in the other direction. The same is true for the chemical reactions involved in cell metabolism, such as the breaking down and building up of proteins into and from individual amino acids, respectively. Reactants within a closed system...
Cellular Adaptation II: Hypertrophy01:26

Cellular Adaptation II: Hypertrophy

Hypertrophy is the increase in the size of individual cells, resulting in the enlargement of a tissue or organ. Unlike hyperplasia, which involves an increase in cell number, hypertrophy is characterized by an increase in cell volume. This process often occurs in response to higher functional demand or hormonal stimulation, leading to the production of more structural proteins and organelles, thereby enhancing the cells' work capacity.There are two primary types of hypertrophy: physiological...
Cellular Adaptation I: Introduction and Atrophy01:23

Cellular Adaptation I: Introduction and Atrophy

Cells can adapt to environmental changes to maintain function and avoid injury, a process called cellular adaptation. Adapted cells exist in a reversible intermediate state with changes in size, number, phenotype, metabolism, or function. These responses help cells meet altered physiological or pathological demands; for example, enlargement of breast and uterine tissues during pregnancy. Early adaptations may enhance function, but persistent stress eventually causes tissue damage.Types of...
Maximum Power Flow and Line Loadability01:23

Maximum Power Flow and Line Loadability

The maximum power flow for lossy transmission lines is derived using ABCD parameters in phasor form. These parameters create a matrix relationship between the sending-end and receiving-end voltages and currents, allowing the determination of the receiving-end current. This relationship facilitates calculating the complex power delivered to the receiving end, from which real and reactive power components are derived.
Tension Response at Adherens Junctions01:26

Tension Response at Adherens Junctions

The adherens junctions that anchor cells together are multi-protein complexes that dynamically adapt to mechanical stimuli such as tensile forces and shear stress. Mechanosensory proteins in these junctions can sense such mechanical stimuli and undergo a shift in their conformation, resulting in an altered function — a process called mechanotransduction.
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The α-catenin of adherens junctions is an allosteric protein with three VH (vinculin homology) domains...

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Related Experiment Videos

Tension and robustness in multitasking cellular networks.

Jeffrey V Wong1, Bochong Li, Lingchong You

  • 1Department of Biomedical Engineering, Duke University, Durham, North Carolina, USA.

Plos Computational Biology
|May 12, 2012
PubMed
Summary
This summary is machine-generated.

Cellular networks face "tension" when multitasking, as optimal states for one task can hinder others. This study provides a framework to analyze and resolve this tension, improving network robustness.

Related Experiment Videos

Area of Science:

  • Systems Biology
  • Computational Biology
  • Genetics

Background:

  • Cellular networks exhibit context-dependent dynamics for multitasking.
  • Tension arises when network parameters optimal for one dynamic are sub-optimal for others.
  • The source, consequences, and resolution of this tension remain unclear.

Purpose of the Study:

  • To develop a computational framework to analyze tension between network dynamics.
  • To investigate the RB-E2F switch as a model for multitasking cellular networks.
  • To understand how tension impacts network robustness and how it can be resolved.

Main Methods:

  • Developed a generic computational framework to quantify tension.
  • Examined the RB-E2F switch, a key regulator of cell cycle entry.
  • Analyzed parameter shifts in network modules and their effect on dynamics.

Main Results:

  • Tension originates from task-dependent parameter shifts in network modules.
  • Common parameter sets for distinct dynamics exist but are less accessible and resilient.
  • High tension can be managed through dynamic module shifting and increased network complexity (e.g., gene duplication).

Conclusions:

  • Tension is a general constraint on multitasking biological network architecture and function.
  • The developed framework quantifies tension and its impact on network robustness.
  • Analysis of tension can reveal design principles of cellular networks and suggest interference strategies.