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Related Concept Videos

Combinatorial Gene Control02:33

Combinatorial Gene Control

Combinatorial gene control is the synergistic action of several transcriptional factors to regulate the expression of a single gene. The absence of one or more of these factors may lead to a significant difference in the level of gene expression or repression.
The expression of more than 30,000 genes is controlled by approximately 2000-3000 transcription factors. This is possible because a single transcription factor can recognize more than one regulatory sequence. The specificity in gene...
Structure of a Gene01:30

Structure of a Gene

A gene is the fundamental unit of heredity. Every individual has two copies of each gene, one inherited from each parent. Although most people contain the same genes, there is a small fraction that is slightly different amongst people. A gene with a small difference in its sequence of DNA bases forms different alleles, contributing to different phenotypes.
However, only 1% of the DNA is composed of genes that encode proteins; the rest, 99% is non-coding DNA. This non-coding DNA performs...
Constitutive and Regulated Gene Expression01:27

Constitutive and Regulated Gene Expression

Gene expression in prokaryotes is governed by constitutive and regulated systems, allowing cells to balance the production of essential proteins with adaptive responses to environmental changes.Constitutive Gene ExpressionConstitutive, or housekeeping, genes are continuously expressed as they encode proteins vital for fundamental cellular processes. These include enzymes for glycolysis, ribosomal components for protein synthesis, and proteins involved in DNA replication. Their constant...
Operon Model01:23

Operon Model

The operon model represents a fundamental mechanism of gene regulation in prokaryotes, enabling coordinated expression of genes involved in related metabolic or functional pathways. Operons consist of structural genes, a promoter, and an operator, with transcription regulated by repressors, activators, and small effector molecules.Structure and Function of OperonsAn operon is a cluster of structural genes transcribed together under the control of a single promoter. The promoter region...
Open and closed-loop control systems01:17

Open and closed-loop control systems

Control systems are foundational elements in automation and engineering. They are broadly categorized into open-loop and closed-loop systems. These classifications hinge on the presence or absence of feedback mechanisms, significantly influencing the system's performance, complexity, and application.
An open-loop control system operates without feedback from the output. It consists of two primary elements: the controller and the controlled process. The controller receives an input signal and...
Regulation of Expression at Multiple Steps01:23

Regulation of Expression at Multiple Steps

The gene expression in cells is regulated at different stages: (i) transcription, (ii) RNA processing, (iii) RNA localization, and (iv) translation. Transcriptional regulation is mediated by regulatory proteins such as transcription factors, activators, or repressors—these control gene expression by initiating or inhibiting the transcription of genes. Once a precursor or pre-mRNA is produced, it undergoes post-transcriptional modification, including 5' capping, splicing, and the addition of a...

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Related Experiment Video

Updated: Jun 8, 2026

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
10:44

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

Linear control theory for gene network modeling.

Yong-Jun Shin1, Leonidas Bleris

  • 1Department of Electrical Engineering, University of Texas at Dallas, Richardson, Texas, USA. yshin@cornell.edu

Plos One
|September 24, 2010
PubMed
Summary
This summary is machine-generated.

Linear control theory offers powerful tools for understanding complex biological networks. This approach accurately predicts network behavior and guides the design of synthetic biological systems.

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Related Experiment Videos

Last Updated: Jun 8, 2026

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
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Area of Science:

  • Systems biology
  • Control theory
  • Bioengineering

Background:

  • Biological systems involve complex interactions within cells.
  • Understanding these interactions is crucial for advancing biological research and applications.

Purpose of the Study:

  • To demonstrate the utility of linear control theory in analyzing complex biological networks.
  • To provide practical tools for characterizing biological network behavior.
  • To offer design strategies for synthetic biological networks.

Main Methods:

  • Application of linear control theory principles.
  • Analysis of biological network topologies including cascade, parallel, feedback, and feedforward loops.
  • Utilizing transfer function (frequency domain) and linear state-space (time domain) methods.

Main Results:

  • Linear control theory provides valuable insights into biological network dynamics.
  • Experimental results were reproduced and rationalized using control theory.
  • Accurate prediction of properties and transient behavior of complex network topologies was achieved.

Conclusions:

  • Linear control theory is a robust framework for dissecting biological complexity.
  • The study validates control theory methods for analyzing biological systems.
  • This work facilitates the rational design of novel synthetic biological networks.