Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

M-Cdk Drives Transition Into Mitosis

M-Cdk Drives Transition Into Mitosis

Checkpoints throughout the cell cycle serve as safeguards and gatekeepers, allowing the cell cycle to progress in favorable conditions and slow or halt it in problematic ones. This regulation is known as the cell cycle control system.
Cyclin-dependent kinases, or Cdks, work in concert with cyclins to control cell cycle transitions. M-Cdk, a complex of Cdk1 bound to M cyclin, is a well-known example of this coordinated control that drives the transition from the G2 to the M phase.
M cyclin...

Inhibition of Cdk Activity

Inhibition of Cdk Activity

The orderly progression of the cell cycle depends on the activation of Cdk protein by binding to its cyclin partner. However, the cell cycle must be restricted when undergoing abnormal changes. Most cancers correlate to the deregulated cell cycle, and since Cdks are a central component of the cell cycle, Cdk inhibitors are extensively studied to develop anticancer agents. For instance, cyclin D associates with several Cdks, such as Cdk 4/6, to form an active complex. The cyclin D-Cdk4/6 complex...

Positive Regulator Molecules

Positive Regulator Molecules

Mitotic cell division results in daughter cells that exactly resemble the parent cell. However, errors in the DNA replication or distribution of genetic material may lead to genetic mutations that may be passed down to every new cell formed from the resulting abnormal cell. Propagation of such mutant cells is restricted through checkpoint mechanisms present at different stages of the cell cycle. These checkpoints involve regulator molecules that either promote or demote cell cycle events.

Positive Regulator Molecules

Positive Regulator Molecules

To consistently produce healthy cells, the cell cycle—the process that generates daughter cells—must be precisely regulated.

You might also read

Related Articles

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

Sort by

Same author

Large language models for automated and audience-tailored labeling of latent classes.

JAMIA open·2026

Same author

Dual <i>ipso</i>-hydroxylation and <i>para</i>-C-H chalcogenation of arylboronic acids using an NDI photocatalyst in visible light.

Chemical communications (Cambridge, England)·2025

Same author

A systematic review of phenotypic and epigenetic clocks used for aging and mortality quantification in humans.

Aging·2024

Same author

Oxidative Organic Transformations Photocatalyzed by NDI in Visible Light.

Organic letters·2024

Same author

Emojifying youth mental health research - Leveraging digital expressions in South Asia.

Indian journal of psychiatry·2024

Same author

An exploration of knowledge-organizing technologies to advance transdisciplinary back pain research.

JOR spine·2023

Same journal

DeepMethylation: A deep learning framework for tissue-specific DNA methylation prediction and functional variant annotation.

PLoS computational biology·2026

Same journal

Redefining and estimating the early-phase reproduction ratio for epidemic outbreaks in spatially structured populations.

PLoS computational biology·2026

Same journal

Optimized phenotype definitions boost GWAS power.

PLoS computational biology·2026

Same journal

Detection, communication, and individual identification with deep audio embeddings: A case study with North Atlantic right whales.

PLoS computational biology·2026

Same journal

Exploring the structural lexicon of the Proteome via Metric Geometry.

PLoS computational biology·2026

Same journal

Linking retinal sampling in neural encoding models to temporal profiles of visual processing in humans.

PLoS computational biology·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jun 2, 2026

Generation and Quantitative Characterization of Functional and Polarized Biliary Epithelial Cysts

Generation and Quantitative Characterization of Functional and Polarized Biliary Epithelial Cysts

Published on: May 16, 2020

MDCK cystogenesis driven by cell stabilization within computational analogues.

Jesse A Engelberg¹, Anirban Datta, Keith E Mostov

¹UCSF/UC Berkeley Joint Graduate Group in Bioengineering, University of California, San Francisco, California, USA.

Plos Computational Biology

|April 15, 2011

Summary

This summary is machine-generated.

This study models epithelial cyst formation using computational simulations. Simulations revealed that cell division axis significantly impacts lumen number, offering insights into organ development and disease.

More Related Videos

Modeling Myotonic Dystrophy 1 in C2C12 Myoblast Cells

Modeling Myotonic Dystrophy 1 in C2C12 Myoblast Cells

Published on: July 29, 2016

An In Vitro System to Study Tumor Dormancy and the Switch to Metastatic Growth

An In Vitro System to Study Tumor Dormancy and the Switch to Metastatic Growth

Published on: August 11, 2011

Related Experiment Videos

Last Updated: Jun 2, 2026

Generation and Quantitative Characterization of Functional and Polarized Biliary Epithelial Cysts

Generation and Quantitative Characterization of Functional and Polarized Biliary Epithelial Cysts

Published on: May 16, 2020

Modeling Myotonic Dystrophy 1 in C2C12 Myoblast Cells

Modeling Myotonic Dystrophy 1 in C2C12 Myoblast Cells

Published on: July 29, 2016

An In Vitro System to Study Tumor Dormancy and the Switch to Metastatic Growth

An In Vitro System to Study Tumor Dormancy and the Switch to Metastatic Growth

Published on: August 11, 2011

Area of Science:

Cell Biology
Biophysics
Computational Biology

Background:

Epithelial morphogenesis is crucial for organ function and understanding diseases.
Current culture systems like Madin-Darby canine kidney (MDCK) cells have limitations in explaining complex morphogenesis.
Key questions remain regarding the coupling of cell actions to environment versus cell state.

Purpose of the Study:

To develop in silico models mimicking Madin-Darby canine kidney (MDCK) cell cystogenesis.
To investigate the underlying cell behavior mechanisms driving epithelial morphogenesis.
To validate computational models through in vitro experiments and quantitative analysis.

Main Methods:

Agent-oriented modeling using the cellular Potts model.
Iterative Refinement protocol for model development and validation.
In vitro experimentation with MDCK cells for quantitative comparison.

Main Results:

Observed novel growth patterns, including a cell behavior shift around day five.
Validated two distinct mechanisms that mimic in vitro cystogenesis properties.
In silico simulations showed cell division axis significantly affects lumen number without altering cyst size or cell count.

Conclusions:

Computational models provide a testable theory for epithelial cystogenesis based on cell-level principles.
The axis of cell division is a critical factor in determining lumen formation during morphogenesis.
Simulations offer valuable insights into organ development and potential disease mechanisms.