Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Classification of Systems-II01:31

Classification of Systems-II

Continuous-time systems have continuous input and output signals, with time measured continuously. These systems are generally defined by differential or algebraic equations. For instance, in an RC circuit, the relationship between input and output voltage is expressed through a differential equation derived from Ohm's law and the capacitor relation,
Circadian Rhythms and Gene Regulation02:19

Circadian Rhythms and Gene Regulation

The biological clock is involved in many aspects of regulating complex physiology in all animals. It was in 1935 when German zoologists, Hans Kalmus and Erwin Bünning, discovered the existence of circadian rhythm in Drosophila melanogaster. However, the internal molecular mechanisms behind the circadian clock remained a mystery until 1984, when Jeffrey C. Hall, Michael Rosbash, and Michael W. Young discovered the expression of the Per gene oscillating over a 24-hour cycle. In subsequent years,...
Circadian Rhythms and Gene Regulation02:19

Circadian Rhythms and Gene Regulation

The biological clock is involved in many aspects of regulating complex physiology in all animals. It was in 1935 when German zoologists, Hans Kalmus and Erwin Bünning, discovered the existence of circadian rhythm in Drosophila melanogaster. However, the internal molecular mechanisms behind the circadian clock remained a mystery until 1984, when Jeffrey C. Hall, Michael Rosbash, and Michael W. Young discovered the expression of the Per gene oscillating over a 24-hour cycle. In subsequent years,...
Pharmacodynamic Models: Link Model and Systems Pharmacodynamic Model01:14

Pharmacodynamic Models: Link Model and Systems Pharmacodynamic Model

The link model is a fundamental pharmacokinetic-pharmacodynamic (PK–PD) approach to account for delayed drug responses when the observed effect does not immediately correlate with the drug's plasma concentration peak. This delay is mathematically addressed by introducing an effect compartment concentration, Ce, which is kinetically linked to the plasma concentration, Cp, via a first-order rate constant, ke0. The linkage allows for a more accurate prediction of drug effects over time. A higher...
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...
Cooperative Binding of Transcription Regulators02:13

Cooperative Binding of Transcription Regulators

Transcriptional regulators bind to specific cis-regulatory sequences in the DNA to regulate gene transcription. These cis-regulatory sequences are very short, usually less than ten nucleotide pairs in length. The short length means that there is a high probability of the exact same sequence randomly occurring throughout the genome.  Since regulators can also bind to groups of similar sequences, this further increases the chances of random binding. Transcriptional regulators form dimers that...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Deontological Guilt Differentially Affects Moral Behaviour in Participants With and Without Obsessive-Compulsive Disorder (OCD).

Clinical psychology & psychotherapy·2026
Same author

Pituitary tumor-transforming gene 1 and endocrine cancers: an up-to-date review through history, current insights and future perspectives.

Endocrine-related cancer·2025
Same author

Development and Characterization of a 13-Plex Binding Assay to Detect <i>Shigella</i> Antibodies in Human Samples.

Open forum infectious diseases·2024
Same author

Combined evaluation of prolactin-induced peptide (PIP) and extracellular signal-regulated kinase (ERK) as new sperm biomarkers of FSH treatment efficacy in normogonadotropic idiopathic infertile men.

Journal of endocrinological investigation·2023
Same author

Families in quarantine for COVID-19 in Italy. Resilience as a buffer of parental distress and problematic children's emotions and behaviors.

Current psychology (New Brunswick, N.J.)·2022
Same author

Time-Resolved Excited-State Analysis of Molecular Electron Dynamics by TDDFT and Bethe-Salpeter Equation Formalisms.

Journal of chemical theory and computation·2021

Related Experiment Video

Updated: May 7, 2026

Continuous Measurement of Biological Noise in Escherichia Coli Using Time-lapse Microscopy
08:25

Continuous Measurement of Biological Noise in Escherichia Coli Using Time-lapse Microscopy

Published on: April 27, 2021

Time-dependent information transmission in a model regulatory circuit.

F Mancini1, C H Wiggins, M Marsili

  • 1International School for Advanced Studies (SISSA), Trieste, Italy.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|September 17, 2013
PubMed
Summary

Biological systems with signal processing delays have limited information transmission. Network structure and dynamic states, like absorbing states, optimize information flow in stress response circuits.

More Related Videos

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

Immunometabolic Circuits in Infection for Advancing Host Directed Therapies
11:12

Immunometabolic Circuits in Infection for Advancing Host Directed Therapies

Published on: September 13, 2024

Related Experiment Videos

Last Updated: May 7, 2026

Continuous Measurement of Biological Noise in Escherichia Coli Using Time-lapse Microscopy
08:25

Continuous Measurement of Biological Noise in Escherichia Coli Using Time-lapse Microscopy

Published on: April 27, 2021

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

Immunometabolic Circuits in Infection for Advancing Host Directed Therapies
11:12

Immunometabolic Circuits in Infection for Advancing Host Directed Therapies

Published on: September 13, 2024

Area of Science:

  • Systems biology
  • Information theory
  • Physiology

Background:

  • Biological regulatory systems often exhibit physiological delays in signal processing.
  • Understanding these delays is crucial for modeling biological information transmission.

Purpose of the Study:

  • To model how physiological delays affect information transmission in biological regulatory systems.
  • To identify network topologies that maximize information transfer.
  • To explore the role of dynamic states in optimal information transmission.

Main Methods:

  • Development of a simple regulatory model incorporating physiological delays.
  • Analysis of information transmission limits based on input and output dynamic timescales.
  • Identification of network topologies associated with maximally informative circuits.

Main Results:

  • Information transmission in delayed systems is constrained by both input and output dynamics.
  • Maximally informative network topologies resemble known biological circuits, particularly those in stress response.
  • Circuits operating outside steady state can leverage absorbing states for optimal information transmission.

Conclusions:

  • Physiological delays fundamentally limit information transmission in biological networks.
  • Network structure and dynamic operating points are key determinants of information processing efficiency.
  • Biological circuits, especially stress response pathways, may have evolved to exploit these principles for optimal function.