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

Survival Tree01:19

Survival Tree

452
Survival trees are a non-parametric method used in survival analysis to model the relationship between a set of covariates and the time until an event of interest occurs, often referred to as the "time-to-event" or "survival time." This method is particularly useful when dealing with censored data, where the event has not occurred for some individuals by the end of the study period, or when the exact time of the event is unknown.
 Building a Survival Tree
Constructing a...
452
Natural Selection and Adaptation01:15

Natural Selection and Adaptation

1.5K
Natural selection, a fundamental concept in evolutionary biology, is the mechanism by which evolution is driven, favoring organisms that are best adapted to their environments. This process enhances their chances of survival and reproduction. Adaptation, a key outcome of this process, involves genetic modifications that optimize an organism's functionality under specific environmental challenges, such as extreme cold or thinner air at high altitudes.
Beyond physical adaptations,...
1.5K
Randomized Experiments01:13

Randomized Experiments

9.1K
The randomization process involves assigning study participants randomly to experimental or control groups based on their probability of being equally assigned. Randomization is meant to eliminate selection bias and balance known and unknown confounding factors so that the control group is similar to the treatment group as much as possible. A computer program and a random number generator can be used to assign participants to groups in a way that minimizes bias.
Simple randomization
Simple...
9.1K
Neuroplasticity01:01

Neuroplasticity

2.1K
Neuroplasticity reflects the brain's remarkable capacity to adapt and evolve, responding dynamically to learning, experiences, or injury by reorganizing its neural circuitry. This reorganization involves creating new neural connections and refining old ones through a series of biological processes that contribute to the brain's lifelong development and adaptability.
2.1K
Adaptability of Cytoskeletal Filaments01:12

Adaptability of Cytoskeletal Filaments

6.2K
The cytoskeleton is a complex dynamic structure performing varied functions based on cellular requirements. The adaptability of the individual filaments in the cytoskeleton determines their ability to perform various functions within the cell. It can undergo rapid reorganization during processes like cell division or remain stable for several hours as in the interphase. The adaptability of these filaments depends on stringent regulatory mechanisms. The microfilament and microtubules of the...
6.2K
Random Variables01:09

Random Variables

18.2K
A random variable is a single numerical value that indicates the outcome of a procedure. The concept of random variables is fundamental to the probability theory and was introduced by a Russian mathematician, Pafnuty Chebyshev, in the mid-nineteenth century.
Uppercase letters such as X or Y denote a random variable. Lowercase letters like x or y denote the value of a random variable. If X is a random variable, then X is written in words, and x is given as a number.
For example, let X = the...
18.2K

You might also read

Related Articles

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

Sort by
Same author

Emergent Homeostasis and Degeneracy From Multi-Dimensional Attractors.

BioEssays : news and reviews in molecular, cellular and developmental biology·2026
Same author

Extracellular Vesicles, Lipid Droplets and AhR Ligands in Early Implantation: The Dynamics of Embryo-Maternal Crosstalk.

Journal of extracellular vesicles·2025
Same author

Tissue-like multicellular development triggered by mechanical compression in archaea.

Science (New York, N.Y.)·2025
Same author

A Model of Epigenetic Inheritance Accounts for Unexpected Adaptation to Unforeseen Challenges.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2025
Same author

The Brain's Best Kept Secret Is Its Degenerate Structure.

The Journal of neuroscience : the official journal of the Society for Neuroscience·2024
Same author

Organ transformation by environmental disruption of protein integrity and epigenetic memory in Drosophila.

PLoS biology·2024

Related Experiment Video

Updated: Mar 3, 2026

Modeling the Functional Network for Spatial Navigation in the Human Brain
05:55

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

1.6K

Exploratory adaptation in large random networks.

Hallel I Schreier1,2, Yoav Soen3, Naama Brenner1,4

  • 1Network Biology Research Laboratories, Technion-Israel Institute of Technology, Haifa 32000, Israel.

Nature Communications
|April 22, 2017
PubMed
Summary
This summary is machine-generated.

Cells adapt to new challenges using exploratory dynamics when pre-evolved responses fail. This study shows gene regulatory networks can achieve adaptation through random sampling, highlighting the role of network hubs.

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

2.7K
Visualizing Visual Adaptation
04:43

Visualizing Visual Adaptation

Published on: April 24, 2017

9.7K

Related Experiment Videos

Last Updated: Mar 3, 2026

Modeling the Functional Network for Spatial Navigation in the Human Brain
05:55

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

1.6K
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
Visualizing Visual Adaptation
04:43

Visualizing Visual Adaptation

Published on: April 24, 2017

9.7K

Area of Science:

  • Systems Biology
  • Genetics
  • Computational Biology

Background:

  • Cellular adaptation is crucial for survival under stress.
  • Existing adaptive responses are limited.
  • Exploratory adaptation offers a broader coping mechanism but is poorly understood.

Purpose of the Study:

  • To demonstrate the feasibility of exploratory adaptation in gene regulatory networks.
  • To understand the mechanisms underlying adaptation through exploratory dynamics.
  • To identify key network features supporting this process.

Main Methods:

  • Developed a high-dimensional network model of gene regulation.
  • Simulated exploratory adaptation initiated by constraint violation.
  • Analyzed network configurations and stability using random sampling.

Main Results:

  • Exploratory adaptation is feasible in complex gene regulatory networks.
  • Successful adaptation requires outgoing network hubs.
  • Hub auto-regulation significantly enhances the convergence rate.

Conclusions:

  • Gene regulatory networks can adapt to novel conditions via exploratory dynamics.
  • Network hubs and their auto-regulation are critical for successful adaptation.
  • These findings suggest a plausible biological mechanism for adaptive flexibility.