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

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 function at the cell...

The Cell Cycle Control System

The Cell Cycle Control System

The cell cycle is an organized set of events that leads the cell to divide into two daughter cells, each containing chromosomes identical to the parent cell. It is the cell cycle that leads to the formation of an entire organism from a single-cell zygote. Besides, cell division also functions in the renewal or repair of tissues in adult multicellular eukaryotes. For example, in the bone marrow, the stem cells divide to form new blood cells. Although essential for several functions, cell...

Positive Regulator Molecules

Positive Regulator Molecules

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

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.

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...

Cells Coordinate Growth and Proliferation

Cells Coordinate Growth and Proliferation

Cell size is a significant factor impacting cellular design, function, and fitness. There exists some internal coordination by which cells double their masses before division, thus, achieving homeostasis. Coordination between cell growth and proliferation depends on the checkpoints in between cell cycle phases. Loss of coordination or failure in the checkpoint mechanism can drive the cell to uncontrolled growth and loss of cellular function. Like dividing cells that coordinate cellular growth,...

You might also read

Related Articles

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

Sort by

Same author

BudFinder: A Masked Auto-Encoder vision transformer framework for yeast budding detection and lifespan quantification.

PLoS computational biology·2026

Same author

Bacteria as living biosensors for DNA.

Nature reviews bioengineering·2026

Same author

Rational engineering of combinatorial bacterial therapies for cancer.

Genome biology·2026

Same author

BudFinder: A Masked Auto-Encoder Vision Transformer Framework for Yeast Budding Detection.

bioRxiv : the preprint server for biology·2025

Same author

Calculating fast differential genome coverages among metagenomic sources using micov.

Communications biology·2025

Same author

Metatranscriptomics Uncover Diurnal Functional Shifts in Bacterial Transgenes with Profound Metabolic Effects.

Cell host & microbe·2025

Same journal

Correction to 'New origin firing is inhibited by APC/CCdh1 activation in S-phase after severe replication stress'.

Nucleic acids research·2026

Same journal

VeloRM: disentangling pre- and post-splicing RNA modification dynamics at single-cell resolution.

Nucleic acids research·2026

Same journal

Accessibility of telomeric overhangs to stabilizing small-molecule ligands.

Nucleic acids research·2026

Same journal

Multivalent interactions mediate SNAIL transcription factor stimulation of the nucleosome deacetylase activity of the CoREST complex.

Nucleic acids research·2026

Same journal

Genome-wide mapping of DNA G-quadruplexes in Trypanosoma brucei chromatin reveals enrichment in coding regions and transcription start sites.

Nucleic acids research·2026

Same journal

Correction to 'The Gene Ontology knowledgebase in 2026'.

Nucleic acids research·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jun 17, 2026

Manipulation and Analysis of Cell Cycle-Dependent Processes in Budding Yeast

Manipulation and Analysis of Cell Cycle-Dependent Processes in Budding Yeast

Published on: September 26, 2025

Cell cycle-dependent variations in protein concentration.

Natalie A Cookson¹, Scott W Cookson, Lev S Tsimring

¹Department of Bioengineering, BioCircuits Institute, Molecular Biology Section, Division of Biology, University of California, San Diego, La Jolla, CA 92093, USA.

Nucleic Acids Research

|December 19, 2009

Summary

This summary is machine-generated.

This study models cell volume fluctuations during the cell division cycle in Saccharomyces cerevisiae. Tracking these dynamics reveals how cell size changes impact protein production and cellular functions.

More Related Videos

Quantitative Immunofluorescence Assay to Measure the Variation in Protein Levels at Centrosomes

Quantitative Immunofluorescence Assay to Measure the Variation in Protein Levels at Centrosomes

Published on: December 20, 2014

Analysis of Cell Cycle Position in Mammalian Cells

Analysis of Cell Cycle Position in Mammalian Cells

Published on: January 21, 2012

Related Experiment Videos

Last Updated: Jun 17, 2026

Manipulation and Analysis of Cell Cycle-Dependent Processes in Budding Yeast

Manipulation and Analysis of Cell Cycle-Dependent Processes in Budding Yeast

Published on: September 26, 2025

Quantitative Immunofluorescence Assay to Measure the Variation in Protein Levels at Centrosomes

Quantitative Immunofluorescence Assay to Measure the Variation in Protein Levels at Centrosomes

Published on: December 20, 2014

Analysis of Cell Cycle Position in Mammalian Cells

Analysis of Cell Cycle Position in Mammalian Cells

Published on: January 21, 2012

Area of Science:

Cellular biology
Systems biology
Biophysics

Background:

Computational modeling is crucial for understanding biological systems.
Cellular volume fluctuations during the cell cycle are often overlooked in modeling.
Intracellular molecule concentrations are typically the focus, not dynamic volume changes.

Purpose of the Study:

To investigate and model the significant volume fluctuations in Saccharomyces cerevisiae cells throughout the cell division cycle.
To analyze the impact of these volume dynamics on cellular functions, including gene expression and protein production.
To develop an accurate computational model of cell cycle volume dynamics.

Main Methods:

Acquisition of single-cell volume trajectories using fluorescence microscopy for a large population of yeast cells.
Generation of comprehensive statistics detailing cell growth, division, size, and protein production characteristics over multiple generations.
Development of a cell cycle volume dynamics model based on empirical statistics.
Integration of the volume dynamics model with a minimal gene expression model for a fluorescent protein.

Main Results:

Identified key statistical trends governing yeast cell size, growth, and protein production over generations.
Developed an accurate model simulating cell cycle volume dynamics from cell birth.
Demonstrated that significant oscillations in cellular concentration of a stable, highly expressed protein mimic experimental data.
Showcased the fundamental impact of cell cycle-driven volume fluctuations on cellular functions.

Conclusions:

Cell volume fluctuations are a critical, yet understudied, aspect of cell cycle dynamics.
Accurate modeling of cell volume changes is essential for understanding cellular functions and gene expression.
The cell cycle significantly impacts cellular processes through its influence on cell volume.