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

What are Cells?01:15

What are Cells?

52.3K
Cells are the smallest and basic units of life, whether it is a single cell that forms the entire organism, e.g., in a bacterium, or trillions of them, e.g., in humans. No matter what organism a cell is a part of, they share specific characteristics.
Basic Characteristics of Cells
A living cell has a plasma membrane, a bilayer of lipids that separates the aqueous solution inside the cell called the cytoplasm from the outside environment.
Furthermore, a living cell possesses genetic information...
52.3K
What are Cells?01:07

What are Cells?

212.7K
Cells are the smallest and basic units of life, whether it is a single cell that forms the entire organism, e.g., in a bacterium or trillions of them, e.g., in humans. No matter what organism a cell is a part of, they share specific characteristics.
Basic Characteristics of Cells
A living cell has a plasma membrane, a bilayer of lipids that separates the aqueous solution inside the cell called the cytoplasm from the outside environment.
Furthermore, a living cell possesses genetic information...
212.7K
What are Cells?01:15

What are Cells?

5.7K
5.7K
Cell Diversity01:13

Cell Diversity

5.8K
The concept of a cell started with microscopic observations of dead cork tissue by Robert Hooke in 1665. Hooke coined the term "cell" based on the resemblance of the small subdivisions in the cork to the rooms that monks inhabited, called cells. About ten years later, Antonie van Leeuwenhoek became the first person to observe the living and moving cells under a microscope. In the century that followed, the theory that cells represented the basic unit of life developed.
Multicellular...
5.8K
Overview of Cell Signaling01:23

Overview of Cell Signaling

25.8K
Despite the protective membrane that separates a cell from the environment, cells need the ability to detect and respond to environmental changes. Additionally, cells often need to communicate with one another. Unicellular and multicellular organisms use a variety of cell signaling mechanisms to communicate with the environment.
Cells respond to many types of information, often through receptor proteins positioned on the membrane. For example, skin cells respond to and transmit touch...
25.8K
Overview of Cell Signaling01:23

Overview of Cell Signaling

5.0K
5.0K

You might also read

Related Articles

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

Sort by
Same author

Spore-Based Biocomposite Thermoplastic Polyesters with Enhanced Toughness and Programmable Disintegration.

bioRxiv : the preprint server for biology·2026
Same author

Advancing specialized biofoundries via automated adaptive laboratory evolution.

Current opinion in biotechnology·2026
Same author

Multi-strain analysis of <i>Pseudomonas putida</i> reveals the metabolic and genetic diversity of the species.

mSystems·2026
Same author

Aerobicity stimulon in <i>Escherichia coli</i> revealed using multi-scale computational systems biology of respiratory variants.

iScience·2026
Same author

Multi-strain Analysis of <i>Pseudomonas putida</i> Reveals the Metabolic and Genetic Diversity of the Species.

bioRxiv : the preprint server for biology·2025
Same author

Growth-coupled microbial biosynthesis of the animal pigment xanthommatin.

Nature biotechnology·2025
Same journal

Integrated lipidomic and transcriptomic profiling of the host response in human malaria.

Genome biology·2026
Same journal

Centromeric satellite expansion drives genome evolution in the snowy owl.

Genome biology·2026
Same journal

Mapping the landscape of allele-specific expression in porcine genomes.

Genome biology·2026
Same journal

Genomic sequence evolution underlying human neocortical interareal diversification.

Genome biology·2026
Same journal

Regulatory mechanisms driven by functional 3'-UTR variants in alcohol use disorder and related traits.

Genome biology·2026
Same journal

A longitudinal single-nucleus transcriptomic atlas of bovine placentation reveals dynamic cellular hierarchies and regulatory programs.

Genome biology·2026
See all related articles

Related Experiment Video

Updated: Mar 20, 2026

Silicon Microchips for Manipulating Cell-cell Interaction
23:21

Silicon Microchips for Manipulating Cell-cell Interaction

Published on: August 30, 2007

11.2K

What do cells actually want?

Adam M Feist1, Bernhard O Palsson2

  • 1Department of Bioengineering, University of California, San Diego, La Jolla, 92093-0412, USA.

Genome Biology
|May 25, 2016
PubMed
Summary
This summary is machine-generated.

Scientists developed a new method to determine an organism's fundamental biological objective from data. This approach is crucial for building accurate genome-scale models in systems biology.

More Related Videos

Manipulating Living Cells to Construct Stable 3D Cellular Assembly Without Artificial Scaffold
07:09

Manipulating Living Cells to Construct Stable 3D Cellular Assembly Without Artificial Scaffold

Published on: October 26, 2018

6.7K
Designing Microfluidic Devices for Studying Cellular Responses Under Single or Coexisting Chemical/Electrical/Shear Stress Stimuli
10:35

Designing Microfluidic Devices for Studying Cellular Responses Under Single or Coexisting Chemical/Electrical/Shear Stress Stimuli

Published on: August 13, 2016

9.5K

Related Experiment Videos

Last Updated: Mar 20, 2026

Silicon Microchips for Manipulating Cell-cell Interaction
23:21

Silicon Microchips for Manipulating Cell-cell Interaction

Published on: August 30, 2007

11.2K
Manipulating Living Cells to Construct Stable 3D Cellular Assembly Without Artificial Scaffold
07:09

Manipulating Living Cells to Construct Stable 3D Cellular Assembly Without Artificial Scaffold

Published on: October 26, 2018

6.7K
Designing Microfluidic Devices for Studying Cellular Responses Under Single or Coexisting Chemical/Electrical/Shear Stress Stimuli
10:35

Designing Microfluidic Devices for Studying Cellular Responses Under Single or Coexisting Chemical/Electrical/Shear Stress Stimuli

Published on: August 13, 2016

9.5K

Area of Science:

  • Systems biology
  • Metabolic modeling
  • Computational biology

Background:

  • Genome-scale models (GSMMs) are essential tools for understanding cellular metabolism and function.
  • A key component of GSMMs is the objective function, which represents the biological objective the organism aims to achieve (e.g., biomass production, ATP maximization).
  • Accurately defining the objective function is critical for the predictive power and biological relevance of GSMMs.

Purpose of the Study:

  • To develop and present a novel computational method for inferring the objective function of an organism directly from experimental or simulation data.
  • To provide a data-driven approach for determining the fundamental biological purpose encoded within an organism's genome.

Main Methods:

  • The study introduces a method that analyzes metabolic network behavior under various conditions.
  • This method infers the objective function by identifying the function that best explains the observed or simulated metabolic fluxes.
  • The approach leverages computational algorithms to process large datasets and identify patterns.

Main Results:

  • The developed method successfully infers objective functions for various microbial models.
  • The inferred objective functions align with known biological principles and experimental observations.
  • The method demonstrates robustness across different datasets and model complexities.

Conclusions:

  • The data-driven inference of objective functions significantly enhances the accuracy and reliability of genome-scale models.
  • This approach facilitates a deeper understanding of microbial physiology and metabolic strategies.
  • The method offers a powerful tool for systems biology research, enabling more precise predictions of cellular behavior.