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

¹H NMR Signal Integration: Overview00:58

¹H NMR Signal Integration: Overview

3.4K
The intensity of a signal, which can be represented by the area under the peak, depends on the number of protons contributing to that signal. The area under each peak is shown as a vertical line called an integral, with the integral value listed under it, as seen in the proton NMR spectrum of benzyl acetate. Each integral value is divided by the smallest integral value to obtain the ratio of the number of protons producing each signal. The ratio reveals the relative number of protons and not...
3.4K
Phase Transitions02:31

Phase Transitions

22.9K
Whether solid, liquid, or gas, a substance's state depends on the order and arrangement of its particles (atoms, molecules, or ions). Particles in the solid pack closely together, generally in a pattern. The particles vibrate about their fixed positions but do not move or squeeze past their neighbors. In liquids, although the particles are closely spaced, they are randomly arranged. The position of the particles are not fixed—that is, they are free to move past their neighbors to...
22.9K
Properties of Transition Metals02:58

Properties of Transition Metals

29.7K
Transition metals are defined as those elements that have partially filled d orbitals. As shown in Figure 1, the d-block elements in groups 3–12 are transition elements. The f-block elements, also called inner transition metals (the lanthanides and actinides), also meet this criterion because the d orbital is partially occupied before the f orbitals.
29.7K
Cooperative Allosteric Transitions01:58

Cooperative Allosteric Transitions

8.7K
Cooperative allosteric transitions can occur in multimeric proteins, where each subunit of the protein has its own ligand-binding site. When a ligand binds to any of these subunits, it triggers a conformational change that affects the binding sites in the other subunits; this can change the affinity of the other sites for their respective ligands. The ability of the protein to change the shape of its binding site is attributed to the presence of a mix of flexible and stable segments in the...
8.7K
Velocity and Position by Integral Method01:13

Velocity and Position by Integral Method

7.5K
If acceleration as a function of time is known, then velocity and position functions can be derived using integral calculus. For constant acceleration, the integral equations refer to the first and second kinematic equations for velocity and position functions, respectively.
Consider an example to calculate the velocity and position from the acceleration function. A motorboat is traveling at a constant velocity of 5.0 m/s when it starts to decelerate to arrive at the dock. Its acceleration is...
7.5K
Phase Transitions: Vaporization and Condensation02:39

Phase Transitions: Vaporization and Condensation

20.8K
The physical form of a substance changes on changing its temperature. For example, raising the temperature of a liquid causes the liquid to vaporize (convert into vapor). The process is called vaporization—a surface phenomenon. Vaporization occurs when the thermal motion of the molecules overcome the intermolecular forces, and the molecules (at the surface) escape into the gaseous state. When a liquid vaporizes in a closed container, gas molecules cannot escape. As these gas phase molecules...
20.8K

You might also read

Related Articles

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

Sort by
Same author

SMPD3 suppresses oligodendroglioma growth via dual autocrine-paracrine roles.

Communications biology·2026
Same author

Selective Inhibition of Insulin-Degrading Enzyme Eliminates Hemolysis Interference in Serum Insulin Measurements.

Diagnostics (Basel, Switzerland)·2026
Same author

Utility of the post-cosyntropin urinary metabolomic profile for the subtype diagnosis of primary aldosteronism.

Journal of hypertension·2026
Same author

Overdiagnosed and oversupplemented: the iatrogenic rise of vitamin D toxicity.

European journal of endocrinology·2026
Same author

Accelerating Leigh syndrome drug discovery through deep learning screening in brain organoids.

Nature communications·2026
Same author

<i>miR-122</i> Deficiency in Mice Enhances Regeneration in Healthy Liver but Drives Pathological Repair and Functional Decline in Fibrotic Liver.

International journal of molecular sciences·2026

Related Experiment Video

Updated: Jan 26, 2026

Integrative Toolkit to Analyze Cellular Signals: Forces, Motion, Morphology, and Fluorescence
14:55

Integrative Toolkit to Analyze Cellular Signals: Forces, Motion, Morphology, and Fluorescence

Published on: March 5, 2022

4.3K

An integrative method to predict signalling perturbations for cellular transitions.

Gaia Zaffaroni1, Satoshi Okawa1,2, Manuel Morales-Ruiz3,4,5,6

  • 1Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch-sur-Alzette L-4362, Luxembourg.

Nucleic Acids Research
|April 6, 2019
PubMed
Summary

This study introduces a computational method to predict signaling molecules for cell transitions, aiding disease reversal and regenerative medicine. The approach accurately identifies key signaling targets, outperforming existing methods.

More Related Videos

Cell-cell Fusion of Genome Edited Cell Lines for Perturbation of Cellular Structure and Function
07:30

Cell-cell Fusion of Genome Edited Cell Lines for Perturbation of Cellular Structure and Function

Published on: December 7, 2019

9.8K
Cell-based Assay Protocol for the Prognostic Prediction of Idiopathic Scoliosis Using Cellular Dielectric Spectroscopy
08:08

Cell-based Assay Protocol for the Prognostic Prediction of Idiopathic Scoliosis Using Cellular Dielectric Spectroscopy

Published on: October 16, 2013

11.0K

Related Experiment Videos

Last Updated: Jan 26, 2026

Integrative Toolkit to Analyze Cellular Signals: Forces, Motion, Morphology, and Fluorescence
14:55

Integrative Toolkit to Analyze Cellular Signals: Forces, Motion, Morphology, and Fluorescence

Published on: March 5, 2022

4.3K
Cell-cell Fusion of Genome Edited Cell Lines for Perturbation of Cellular Structure and Function
07:30

Cell-cell Fusion of Genome Edited Cell Lines for Perturbation of Cellular Structure and Function

Published on: December 7, 2019

9.8K
Cell-based Assay Protocol for the Prognostic Prediction of Idiopathic Scoliosis Using Cellular Dielectric Spectroscopy
08:08

Cell-based Assay Protocol for the Prognostic Prediction of Idiopathic Scoliosis Using Cellular Dielectric Spectroscopy

Published on: October 16, 2013

11.0K

Area of Science:

  • Computational biology
  • Cellular reprogramming
  • Systems biology

Background:

  • Cellular transitions are crucial for reverting disease phenotypes and for regenerative medicine.
  • Signaling molecules offer a way to induce these transitions without genetic manipulation.
  • Existing methods for identifying signaling targets are limited.

Purpose of the Study:

  • To develop a general computational method for systematically predicting signaling molecules that induce specific cellular transitions.
  • To enable the discovery of signaling interventions for disease treatment and cellular therapies.

Main Methods:

  • A probabilistic computational method integrating gene regulatory networks (GRNs) with curated signaling pathways (MetaCore).
  • Modeling how signaling cues are received and processed within the GRN.
  • Application to 219 cellular transition examples.

Main Results:

  • The method accurately predicted experimentally validated signaling molecules for cellular transitions.
  • It outperformed differential gene expression and pathway enrichment analyses.
  • Validated in a rat cirrhotic liver model, identifying Tie2 activation as a target to revert disease phenotype.
  • Perturbation of Tie2 induced desired changes in key transcription factors involved in fibrosis and angiogenesis.

Conclusions:

  • The developed method provides a powerful tool for discovering signaling interventions.
  • It requires only gene expression data from initial and desired cell states.
  • It has significant potential for applications in disease treatment and regenerative medicine.