Related Experiment Video

Updated: Aug 11, 2026

Measuring Cell Cycle Progression Kinetics with Metabolic Labeling and Flow Cytometry
11:23

Measuring Cell Cycle Progression Kinetics with Metabolic Labeling and Flow Cytometry

Published on: May 22, 2012

[Labeled mitoses curve in different states of cell proliferation kinetics. 2. Mathematical model with the calculation

A M Malinin, A Iu Iakovlev

    Tsitologiia
    |November 1, 1976
    PubMed

    More Related Videos

    Optimized Staining and Proliferation Modeling Methods for Cell Division Monitoring using Cell Tracking Dyes22:49

    Optimized Staining and Proliferation Modeling Methods for Cell Division Monitoring using Cell Tracking Dyes

    Published on: December 13, 2012

    The Use of Chemostats in Microbial Systems Biology13:19

    The Use of Chemostats in Microbial Systems Biology

    Published on: October 14, 2013

    Related Concept Videos

    The Cell Cycle Control System02:11

    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...
    Mitogens and the Cell Cycle02:38

    Mitogens and the Cell Cycle

    Mitogens and their receptors play a crucial role in controlling the progression of the cell cycle. However, the loss of mitogenic control over cell division leads to tumor formation. Therefore, mitogens and mitogen receptors play an important role in cancer research. For instance, the epidermal growth factor (EGF) - a type of mitogen and its transmembrane receptor (EGFR), decides the fate of the cell's proliferation. When EGF binds to EGFR, a member of the ErbB family of tyrosine kinase...
    Cells Coordinate Growth and Proliferation02:36

    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,...
    Mitogens and the Cell Cycle02:38

    Mitogens and the Cell Cycle

    Mitogens and their receptors play a crucial role in controlling the progression of the cell cycle. However, the loss of mitogenic control over cell division leads to tumor formation. Therefore, mitogens and mitogen receptors play an important role in cancer research. For instance, the epidermal growth factor (EGF) - a type of mitogen and its transmembrane receptor (EGFR), decides the fate of the cell's proliferation. When EGF binds to EGFR, a member of the ErbB family of tyrosine kinase...
    The Cell Cycle Control System01:28

    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...
    Modeling with Differential Equations01:25

    Modeling with Differential Equations

    Population dynamics can be described mathematically by considering the population size P(t) as a function of time. The rate of change of the population is then represented by the derivative of P(t). A simple assumption is that the rate of growth is proportional to the size of the population itself. This leads to an exponential growth model, where the population increases rapidly without bound. While this is a useful first approximation, it does not reflect realistic long-term...