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

Indirect Motor Pathways01:22

Indirect Motor Pathways

3.8K
The indirect motor or extrapyramidal pathways originate in the brainstem, the lower portion of the brain that connects it to the spinal cord. They consist of several distinct tracts, each with specialized functions. The four main tracts of the indirect motor pathways are the vestibulospinal tract, the reticulospinal tract, the tectospinal tract, and the rubrospinal tract.
The vestibulospinal tract originates in the vestibular nuclei of the brainstem. The vestibular system detects changes in...
3.8K
Interactions Between Signaling Pathways01:19

Interactions Between Signaling Pathways

7.9K
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
Two distinct signaling pathways can converge on a single functional unit, which may either be a single protein or a complex of proteins. The response is either functionally distinct or synergistic between the two pathways but different from the response...
7.9K
Synthetic Biology02:55

Synthetic Biology

5.8K
Synthetic biology is an interdisciplinary science that involves using principles from disciplines such as engineering, molecular biology, cell biology, and systems biology. It involves remodeling existing organisms from nature or constructing completely new synthetic organisms for applications such as protein or enzyme production, bioremediation, value-added macromolecule production, and the addition of desirable traits to crops, to name a few.
Golden rice
Golden rice is a genetically modified...
5.8K
Neural Circuits01:25

Neural Circuits

3.2K
Neural circuits and neuronal pools are two of the main structures found in the nervous system. Neural circuits are networks of neurons that work together to carry out a specific task or process. They consist of interconnected neurons and glial cells, which provide structural and metabolic support.
Neuronal pools are collections of nerve cells with similar functions and interact through chemical and electrical signals. These pools include both interneurons (the central neural circuit nodes that...
3.2K
Propagation of Action Potentials01:23

Propagation of Action Potentials

13.8K
The propagation of an action potential refers to the process by which a nerve impulse, or "action potential," travels along a neuron.
Neurons (nerve cells) have a resting membrane potential, with a slightly negative charge inside compared to outside. This is maintained by ion channels, such as sodium (Na+) and potassium (K+) channels, which control the flow of ions. When a stimulus, like a touch or a signal from another neuron, triggers the neuron, sodium channels open, allowing sodium ions to...
13.8K
IP3/DAG Signaling Pathway01:11

IP3/DAG Signaling Pathway

15.8K
Membrane lipids such as phosphatidylinositol (PI) are precursors for several membrane-bound and soluble second messengers. Specific kinases phosphorylate PI and produce phosphorylated inositol phospholipids. One such inositol phospholipids are the  phosphatidylinositol-4,5 bisphosphate [PI(4,5)P2], present in the inner half of the lipid bilayer. Upon ligand binding, GPCR stimulates Gq proteins to turn on phospholipase Cꞵ. Activated phospholipase Cꞵ cleaves PI(4,5)P2 and...
15.8K

You might also read

Related Articles

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

Sort by
Same author

Multi-bit Boolean model for chemotactic drift of <i>Escherichia coli</i>.

IET systems biology·2021
Same author

Supercritical and subcritical Hopf-bifurcations in a two-delayed prey-predator system with density-dependent mortality of predator and strong Allee effect in prey.

Bio Systems·2019
Same author

Fault detection and therapeutic intervention in gene regulatory networks using SAT solvers.

Bio Systems·2019
Same author

Learning a Probabilistic Boolean Network model from biological pathways and time-series expression data.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2017
Same author

A Boolean approach to bacterial chemotaxis.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2017
Same author

Estimation of delays in generalized asynchronous Boolean networks.

Molecular bioSystems·2016

Related Experiment Video

Updated: Mar 27, 2026

A Multilayer Microfluidic Platform for the Conduction of Prolonged Cell-Free Gene Expression
11:23

A Multilayer Microfluidic Platform for the Conduction of Prolonged Cell-Free Gene Expression

Published on: October 6, 2019

10.9K

Inference of asynchronous Boolean network from biological pathways.

Haimabati Das, Ritwik Kumar Layek

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |January 7, 2016
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces an asynchronous Boolean network to model complex gene regulation and protein interactions. This framework simplifies understanding gene-protein systems and aids in designing therapeutic strategies.

    More Related Videos

    Gene Digital Circuits Based on CRISPR-Cas Systems and Anti-CRISPR Proteins
    10:46

    Gene Digital Circuits Based on CRISPR-Cas Systems and Anti-CRISPR Proteins

    Published on: October 18, 2022

    2.4K
    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

    2.7K

    Related Experiment Videos

    Last Updated: Mar 27, 2026

    A Multilayer Microfluidic Platform for the Conduction of Prolonged Cell-Free Gene Expression
    11:23

    A Multilayer Microfluidic Platform for the Conduction of Prolonged Cell-Free Gene Expression

    Published on: October 6, 2019

    10.9K
    Gene Digital Circuits Based on CRISPR-Cas Systems and Anti-CRISPR Proteins
    10:46

    Gene Digital Circuits Based on CRISPR-Cas Systems and Anti-CRISPR Proteins

    Published on: October 18, 2022

    2.4K
    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

    2.7K

    Area of Science:

    • Systems Biology
    • Computational Biology
    • Genetics

    Background:

    • Gene regulation involves intricate multi-level interactions, posing challenges for modeling.
    • Accurate dynamical system models are crucial for simplifying gene regulatory network inference and intervention design.

    Purpose of the Study:

    • To propose an asynchronous Boolean network framework for modeling transcriptional and protein-protein interactions.
    • To present an algorithm for inferring these networks from biological data.
    • To discuss the model's applicability to reaction rate variability.

    Main Methods:

    • Development of an asynchronous Boolean network model.
    • Algorithm for network inference using pathway information and experimental evidence.
    • Analysis of model suitability for reaction rate variations.

    Main Results:

    • The asynchronous Boolean network effectively captures gene and protein interactions.
    • The proposed algorithm facilitates network inference from diverse biological data.
    • The model demonstrates suitability for systems with variable reaction rates.

    Conclusions:

    • The asynchronous Boolean network provides a powerful abstraction for gene-protein interaction systems.
    • This methodology advances the coherent understanding of genetic regulatory networks.
    • The approach offers potential for developing targeted therapeutic interventions.