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

Carrier Generation and Recombination01:22

Carrier Generation and Recombination

1.2K
Carrier generation is the process by which electron-hole pairs (EHPs) are created within the semiconductor. In direct-bandgap semiconductors, such as gallium arsenide (GaAs), this occurs efficiently when energy absorption prompts valence electrons to leap into the conduction band, leaving behind holes.
This process is given by the generation rate G and is efficient due to the conservation of momentum between the valence band maximum and conduction band minimum.
Indirect generation involves an...
1.2K
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

271
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
271
Insensitive Nuclei Enhanced by Polarization Transfer (INEPT)01:15

Insensitive Nuclei Enhanced by Polarization Transfer (INEPT)

975
Insensitive Nuclei Enhanced by Polarization Transfer (INEPT) is an advanced Nuclear Magnetic Resonance (NMR) technique specifically designed to detect and enhance the signals of low-abundance nuclei, such as carbon-13 and nitrogen-15, in small molecules. The fundamental principle behind INEPT is the transfer of polarization from a more abundant and highly polarizable nucleus, typically hydrogen-1, to the low-abundance nucleus of interest. This process effectively boosts the NMR signal of the...
975
π Electron Effects on Chemical Shift: Overview01:27

π Electron Effects on Chemical Shift: Overview

1.6K
An applied magnetic field causes loosely bound π-electrons in organic molecules to circulate, producing a local or induced diamagnetic field over a large spatial volume. As the molecules tumble in solution, the field generated by π-electrons in spherical substituents results in a zero net field. However, the net field generated by π-electrons in non-spherical substituents is not zero. The effect of this induced field depends on the orientation of the molecule with respect to B0,...
1.6K
Double Resonance Techniques: Overview01:12

Double Resonance Techniques: Overview

680
Double resonance techniques in Nuclear Magnetic Resonance (NMR) spectroscopy involve the simultaneous application of two different frequencies or radiofrequency pulses to manipulate and observe two distinct nuclear spins. One important application of double resonance is spin decoupling, which selectively suppresses coupling with one type of nucleus while observing the NMR signal from another nucleus, simplifying the spectrum and enhancing resolution.
Spin decoupling is usually achieved by...
680
¹³C NMR: Distortionless Enhancement by Polarization Transfer (DEPT)01:20

¹³C NMR: Distortionless Enhancement by Polarization Transfer (DEPT)

1.6K
When proton-coupled carbon-13 spectra are simplified by a broadband proton decoupling technique, structural information about the coupled protons is lost. Distortionless enhancement by polarization transfer (DEPT) is a technique that provides information on the number of hydrogens attached to each carbon in a molecule. While the DEPT experiment utilizes complex pulse sequences, the pulse delay and flip angle are specifically manipulated. The resulting signals have different phases depending on...
1.6K

You might also read

Related Articles

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

Sort by
Same author

Acoustic Signatures of Hive: Detecting Queen Bee Absence Through Machine Learning of Short Audio Segments.

Insects·2026
Same author

Diagnostic Assessment and Surgical Management of Synovial Chondromatosis of the Midfoot in a 13-Year-Old Child.

HSS journal : the musculoskeletal journal of Hospital for Special Surgery·2026
Same author

Clinical and Histopathologic Characteristics and Outcomes of Patients With Psoriatic Arthritis Undergoing Arthroplasty.

The Journal of rheumatology·2026
Same author

Toward neural network-based optical wave reconstruction for the supersonic turbulent cavity flow.

Applied optics·2026
Same author

Fractionally quantized recurrence detection times in monitored quantum many-body systems.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

Binding dynamics shape germinal center broadly neutralizing responses to HIV priming.

bioRxiv : the preprint server for biology·2026

Related Experiment Video

Updated: Jan 11, 2026

Isotopic Effect in Double Proton Transfer Process of Porphycene Investigated by Enhanced QM/MM Method
05:51

Isotopic Effect in Double Proton Transfer Process of Porphycene Investigated by Enhanced QM/MM Method

Published on: July 19, 2019

6.6K

A computational approach for perturbation-induced EMT transitions.

Daniel Ramirez1,2, David A Kessler3, Mingyang Lu1,2

  • 1Department of Bioengineering, Northeastern University, Boston, MA, USA.

NPJ Systems Biology and Applications
|November 13, 2025
PubMed
Summary

This study models the Epithelial-mesenchymal transition (EMT) gene regulatory network (GRN) using computational methods. It reveals how external signals and transcriptional noise influence EMT initiation, aiding in predicting cancer metastasis drivers.

More Related Videos

Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry
12:11

Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry

Published on: April 8, 2020

8.6K
Precise Electrochemical Sizing of Individual Electro-Inactive Particles
05:03

Precise Electrochemical Sizing of Individual Electro-Inactive Particles

Published on: August 4, 2023

1.7K

Related Experiment Videos

Last Updated: Jan 11, 2026

Isotopic Effect in Double Proton Transfer Process of Porphycene Investigated by Enhanced QM/MM Method
05:51

Isotopic Effect in Double Proton Transfer Process of Porphycene Investigated by Enhanced QM/MM Method

Published on: July 19, 2019

6.6K
Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry
12:11

Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry

Published on: April 8, 2020

8.6K
Precise Electrochemical Sizing of Individual Electro-Inactive Particles
05:03

Precise Electrochemical Sizing of Individual Electro-Inactive Particles

Published on: August 4, 2023

1.7K

Area of Science:

  • Cellular Biology
  • Systems Biology
  • Computational Biology

Background:

  • Epithelial-mesenchymal transition (EMT) is crucial for development, healing, and cancer metastasis.
  • Gene regulatory networks (GRNs) govern EMT, involving transcription factors and microRNAs.
  • Mechanisms initiating EMT in response to external stimuli remain incompletely understood.

Purpose of the Study:

  • To computationally model and simulate a well-characterized EMT GRN.
  • To investigate the impact of perturbations on EMT initiation.
  • To identify characteristics of effective EMT-inducing signals and the role of transcriptional noise.

Main Methods:

  • Application of Boolean and ordinary differential equation (ODE)-based modeling.
  • Simulation of a 26-node, 100-edge EMT GRN.
  • Analysis of responses to single- and double-node perturbations.

Main Results:

  • Characterization of effective EMT-inducing signals.
  • Evaluation of the amplifying role of transcriptional noise in EMT likelihood and timing.
  • Establishment of a complementary modeling framework for EMT GRNs.

Conclusions:

  • The study provides a computational framework for understanding EMT GRN dynamics.
  • This approach aids in predicting drivers of EMT and developing more accurate GRN models.
  • Findings are applicable to various biological processes involving GRNs.