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

Levels of Communication II: Organizational, Public, and Group Dynamics01:27

Levels of Communication II: Organizational, Public, and Group Dynamics

3.0K
Effective communication is the foundation of a good organization. Communication is the lifeblood of an organization that connects the group with messages. In an organization, communication occurs in upward, downward, and horizontal lines. Downward communication travels from the administrative and senior levels to the staff through official channels such as manuals, rules and regulations, and organizational charts. Staff members initiate upward communication, which is addressed to executives and...
3.0K
Communication01:03

Communication

8.7K
Communication between two animals occurs when one animal transmits an information signal that causes a change in the animal that receives the information. Organisms communicate with one another in a host of different ways. Signals can be auditory, chemical, visual, tactile, or a combination of these. Communication is a critical behavioral adaptation that promotes survival, growth, and reproduction.
8.7K
Communication01:28

Communication

10.1K
Sharing information, concepts, and emotions to foster mutual understanding is communication. The sender, recipient, and transaction must be considered in this manner. The sender is the person who shares the message, the recipient is the person who receives and understands the message, and the transaction is the method used to deliver the message and the variables that affect the communication's context and surroundings. The nurse-client connection is built on therapeutic communication.
10.1K
Statistical Significance01:50

Statistical Significance

21.8K
Once data is collected from both the experimental and the control groups, a statistical analysis is conducted to find out if there are meaningful differences between the two groups. A statistical analysis determines how likely any difference found is due to chance (and thus not meaningful). In psychology, group differences are considered meaningful, or significant, if the odds that these differences occurred by chance alone are 5 percent or less. Stated another way, if we repeated this...
21.8K
Probability in Statistics01:14

Probability in Statistics

23.4K
Probability is the likelihood of an event occurring. The term event is defined as a collection of results of a procedure. An event is a simple event when an outcome cannot be divided into simpler parts.
An example of a simple event is a coin toss. The result of a coin toss is either a head or a tail. Here, head and tail are two simple events. These two simple events make up the sample space. Further, the probability of an event occurring falls within the range of 0 to 1. The probability of an...
23.4K
Introduction to Statistics01:17

Introduction to Statistics

63.9K
The science of statistics involves collecting, analyzing, interpreting, and presenting data. The method of collecting, organizing, and summarizing data is called descriptive statistics. The systematic method of drawing inferences from the sample data and predicting unknown characteristics of a population is called inferential statistics.
In statistics, the collection of individuals or objects under study is called population. The idea of sampling is to select a portion of the larger population...
63.9K

You might also read

Related Articles

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

Sort by
Same author

Discreteness, Computation, and Rules of Life for Self-Organization Dynamics Beyond Equilibrium.

Newton ((New York, N.Y.)·2026
Same author

Association Between the Use of Proton Pump Inhibitors and Osteoporosis/Fracture: Nested Case-Control Studies Using a National Health Screening Cohort.

Journal of clinical medicine·2026
Same author

Dry versus wet dormancy: suspended lives of <i>Bacillus subtilis</i> versus <i>Saccharomyces cerevisiae</i> spores.

mSystems·2026
Same author

Predictability is dynamically constructed by topological collective modes in deterministic systems.

ArXiv·2026
Same author

Korean Medical Consultation With Open-Weight Large Language Models: Pilot Comparative Evaluation of Retrieval-Augmented Generation With Metadata Filtering.

JMIR formative research·2026
Same author

A multimodal approach for assessing the risk of cervical spine injury in low-speed rear-end collisions: kinematic and clinical responses.

Frontiers in bioengineering and biotechnology·2026

Related Experiment Video

Updated: Feb 2, 2026

Single-cell Microinjection for Cell Communication Analysis
09:59

Single-cell Microinjection for Cell Communication Analysis

Published on: February 26, 2017

11.8K

Statistical Dynamics of Spatial-Order Formation by Communicating Cells.

Eduardo P Olimpio1, Yiteng Dang1, Hyun Youk1

  • 1Kavli Institute of Nanoscience, Delft University of Technology, Delft, the Netherlands; Department of Bionanoscience, Delft University of Technology, Delft 2629HZ, the Netherlands.

Iscience
|November 15, 2018
PubMed
Summary

Cells coordinate gene expression to create spatial patterns. This study models how "secrete-and-sense cells" use bistable gene expression and rapid molecular communication to achieve spatial order from disorder.

Keywords:
Complex SystemsStatistical PhysicsSystems Biology

More Related Videos

Studying Organelle Dynamics in B Cells During Immune Synapse Formation
15:39

Studying Organelle Dynamics in B Cells During Immune Synapse Formation

Published on: June 1, 2019

9.6K
Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps
11:52

Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps

Published on: February 9, 2017

6.5K

Related Experiment Videos

Last Updated: Feb 2, 2026

Single-cell Microinjection for Cell Communication Analysis
09:59

Single-cell Microinjection for Cell Communication Analysis

Published on: February 26, 2017

11.8K
Studying Organelle Dynamics in B Cells During Immune Synapse Formation
15:39

Studying Organelle Dynamics in B Cells During Immune Synapse Formation

Published on: June 1, 2019

9.6K
Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps
11:52

Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps

Published on: February 9, 2017

6.5K

Area of Science:

  • Systems Biology
  • Computational Biology
  • Biophysics

Background:

  • Cells communicate to coordinate gene expression and form spatial patterns.
  • Secrete-and-sense cells utilize the same molecule for both secretion and sensing.
  • Achieving spatial order from disordered cellular states is a fundamental biological challenge.

Purpose of the Study:

  • To develop a modeling framework for understanding how secrete-and-sense cells achieve spatial order.
  • To investigate the role of bistable gene expression and rapid molecular diffusion in pattern formation.
  • To conceptualize cellular self-organization using principles from statistical mechanics.

Main Methods:

  • A modeling framework based on cellular automata was employed.
  • Approaches from statistical mechanics were mimicked to analyze cell behavior.
  • Cellular lattices were classified using 'spatial index' and average gene-expression level macrostates.

Main Results:

  • A conceptual model was developed where cells behave as particles on a pseudo-energy landscape.
  • The landscape's shape, dictated by cell communication and gene regulation, guides cells towards spatial order.
  • The framework demonstrates how disordered cells transition to ordered spatial patterns.

Conclusions:

  • The pseudo-energy landscape model provides a powerful visualization of cellular self-organization.
  • Cell-cell communication and intracellular bistable gene expression are key drivers of spatial ordering.
  • The framework can be extended to analyze more complex cellular communication systems.