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

Protein Networks

Protein Networks

An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...

The Cell Cycle Control System

The Cell Cycle Control System

The cell cycle regulation directs how a cell proceeds from one phase to the next and begins mitosis. The cell cycle control system includes intracellular regulatory molecules and external triggers. They provide "stop" or "advance" signals and operate at specific cell cycle stages termed checkpoints to ensure that a particular process is completed before the cell advances to the next phase.
Cyclins and cyclin-dependent kinases (Cdks) are the primary cell cycle regulators and...

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.

Protein Dynamics in Living Cells

Protein Dynamics in Living Cells

Different fluorescence-based techniques are used to study the protein dynamics in living cells. These techniques include FRAP, FRET, and PET.
Fluorescent recovery after photobleaching (FRAP) is a fluorescent-protein-based detection technique used to quantify protein movement rates within the cell. This method exposes a small portion of the cell to an intense laser beam. The laser beam causes permanent photobleaching of the fluorophore-tagged proteins in the exposed region. As the bleached...

Interphase

Interphase

The cell cycle occurs over approximately 24 hours (in a typical human cell) and in two distinct stages: interphase, which includes three phases of the cell cycle (G1, S, and G2), and mitosis (M). During interphase, which takes up about 95 percent of the duration of the eukaryotic cell cycle, cells grow and replicate their DNA in preparation for mitosis.
Phases of Interphase
Following each period of mitosis and cytokinesis, eukaryotic cells enter interphase, during which they grow and replicate...

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...

You might also read

Related Articles

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

Sort by

Same author

On the efficiency of pairwise Hamiltonian control to desynchronize the higher-order Kuramoto model.

Chaos (Woodbury, N.Y.)·2026

Same author

Description of a collaborative sperm whale birth and shifts in coda vocal styles during key events.

Scientific reports·2026

Same author

Cooperation by non-kin during birth underpins sperm whale social complexity.

Science (New York, N.Y.)·2026

Same author

Scabies in New Zealand: a call for action on diagnosis and control.

The New Zealand medical journal·2026

Same author

Reducibility of higher-order networks from dynamics.

Nature communications·2026

Same author

Emerging activity temporal hypergraph: A model for generating realistic time-varying hypergraphs.

Physical review. E·2025

Search research articles

Related Experiment Video

Updated: Aug 6, 2025

Analysis of Cell Cycle Position in Mammalian Cells

Analysis of Cell Cycle Position in Mammalian Cells

Published on: January 21, 2012

Inferring cell cycle phases from a partially temporal network of protein interactions.

Maxime Lucas^1,2,3, Arthur Morris⁴, Alex Townsend-Teague⁴

¹Aix Marseille University, CNRS, I2M UMR 7373, Turing Center for Living Systems, Marseille, France.

Cell Reports Methods

|March 20, 2023

Summary

Phasik is a new computational method that automatically identifies biological temporal organization using time series and interaction data. It reveals hidden patterns in cell cycles and circadian rhythms, advancing biological systems analysis.

Keywords:

biological phases cell cycle phases circadian rhythm partial temporal networks phase inference system states temporal network clustering

More Related Videos

Combining Mitotic Cell Synchronization and High Resolution Confocal Microscopy to Study the Role of Multifunctional Cell Cycle Proteins During Mitosis

Combining Mitotic Cell Synchronization and High Resolution Confocal Microscopy to Study the Role of Multifunctional Cell Cycle Proteins During Mitosis

Published on: December 5, 2017

Temporal Tracking of Cell Cycle Progression Using Flow Cytometry without the Need for Synchronization

Temporal Tracking of Cell Cycle Progression Using Flow Cytometry without the Need for Synchronization

Published on: August 16, 2015

Related Experiment Videos

Last Updated: Aug 6, 2025

Analysis of Cell Cycle Position in Mammalian Cells

Analysis of Cell Cycle Position in Mammalian Cells

Published on: January 21, 2012

Combining Mitotic Cell Synchronization and High Resolution Confocal Microscopy to Study the Role of Multifunctional Cell Cycle Proteins During Mitosis

Combining Mitotic Cell Synchronization and High Resolution Confocal Microscopy to Study the Role of Multifunctional Cell Cycle Proteins During Mitosis

Published on: December 5, 2017

Temporal Tracking of Cell Cycle Progression Using Flow Cytometry without the Need for Synchronization

Temporal Tracking of Cell Cycle Progression Using Flow Cytometry without the Need for Synchronization

Published on: August 16, 2015

Area of Science:

Systems Biology
Computational Biology
Bioinformatics

Background:

Understanding biological temporal organization is crucial but current methods are often limited and require prior knowledge.
Time-resolved multiomics data are increasingly available, necessitating advanced analytical tools.

Purpose of the Study:

To present Phasik, a novel computational method for automated identification of multiscale temporal organization in biological systems.
To demonstrate Phasik's effectiveness and general applicability across different biological contexts.

Main Methods:

Phasik integrates time series data (e.g., protein or gene expression) with interaction data (e.g., protein-protein interaction networks).
It constructs a temporal network and employs clustering algorithms to infer distinct temporal phases.
The method's robustness and performance with partial temporal information were systematically evaluated.

Main Results:

Phasik successfully recovered known cell cycle phases and sub-phases in budding yeast.
The method identified phase arrests in mutant yeast, validating its accuracy.
Application to mouse circadian rhythm data demonstrated its generalizability to different biological systems and models.

Conclusions:

Phasik offers an automated and powerful approach to uncover temporal organization in biological systems.
This method facilitates the study of temporal regulation in complex biological processes like development, metabolism, and disease.
Phasik is poised to be a valuable tool for analyzing emerging time-resolved multiomics datasets.