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

Gene Duplication and Divergence02:37

Gene Duplication and Divergence

The seminal work of Ohno in 1970 popularized the idea of gene duplication and divergence. DNA sequence comparison studies reveal that a large portion of the genes in bacteria, archaebacteria, and eukaryotes was  generated by gene duplication and divergence, indicating its critical role in evolution.
The duplicated copies of the gene are called Paralogs. Paralogs with similar sequences and functions form a gene family. Across several species, a large number of gene families are characterized.
Replicative Cell Senescence02:15

Replicative Cell Senescence

Replicative cell senescence is a property of cells that allows them to divide a finite number of times throughout the organism's lifespan while preventing excessive proliferation. Replicative senescence is associated with the gradual loss of the telomere — short, repetitive DNA sequences found at the end of the chromosomes. Telomeres are bound by a group of proteins to form a protective cap on the ends of chromosomes. Embryonic stem cells express telomerase — an enzyme that adds the telomeric...
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,...
Lineage Commitment01:21

Lineage Commitment

Commitment is the  process whereby stem cells:
Cell Lines01:16

Cell Lines

A cell line is a population of cells grown in vitro that can be subcultured over several generations. Normal cells cease to divide after a certain number of cell divisions, a process known as replicative senescence. This number, called the Hayflick limit, was conceptualized by Leonard Hayflick in 1961 when he observed that fetal cells grown in culture could only divide 40-60 times. This limit is due to the shortening of the telomeres during each round of cell division, preventing cell division...
Replicative Cell Senescence02:15

Replicative Cell Senescence

Replicative cell senescence is a property of cells that allows them to divide a finite number of times throughout the organism's lifespan while preventing excessive proliferation. Replicative senescence is associated with the gradual loss of the telomere — short, repetitive DNA sequences found at the end of the chromosomes. Telomeres are bound by a group of proteins to form a protective cap on the ends of chromosomes. Embryonic stem cells express telomerase — an enzyme that adds the telomeric...

You might also read

Related Articles

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

Sort by
Same author

Interval estimates of weighted effect sizes in the one-way heteroscedastic ANOVA.

The British journal of mathematical and statistical psychology·2006
Same author

Estimating clonal heterogeneity and interexperiment variability with the bifurcating autoregressive model for cell lineage data.

Mathematical biosciences·1997
Same author

Weighing the evidence for hypotheses with small samples of right-censored exponential data.

Lifetime data analysis·1997
Same author

A reexamination of the cell-lineage data of E. O. Powell.

Biometrics·1996
Same author

Additive models for dependent cell populations.

Journal of theoretical biology·1984
Same author

Planning blocked mitosis experiments for efficient estimation of population-doubling time and cell-cycle time.

Biometrics·1982

Related Experiment Video

Updated: Jul 12, 2026

Designing Automated, High-throughput, Continuous Cell Growth Experiments Using eVOLVER
07:26

Designing Automated, High-throughput, Continuous Cell Growth Experiments Using eVOLVER

Published on: May 19, 2019

A bifurcating autoregression model for cell lineages with variable generation means.

R G Staudte1

  • 1Department of Statistics, La Trobe University, Bundoora, Victoria, Australia.

Journal of Theoretical Biology
|May 21, 1992
PubMed
Summary

This study extends cell lineage modeling to account for generational mean changes. The enhanced model estimates genetic and environmental influences on cell populations, applicable to biological data.

More Related Videos

Simultaneous Assessment of Kinship, Division Number, and Phenotype via Flow Cytometry for Hematopoietic Stem and Progenitor Cells
10:20

Simultaneous Assessment of Kinship, Division Number, and Phenotype via Flow Cytometry for Hematopoietic Stem and Progenitor Cells

Published on: March 24, 2023

Live Cell Imaging with Time Lapse Photography to Study Epidermal Keratinocyte Proliferation Kinetics
07:21

Live Cell Imaging with Time Lapse Photography to Study Epidermal Keratinocyte Proliferation Kinetics

Published on: June 6, 2025

Related Experiment Videos

Last Updated: Jul 12, 2026

Designing Automated, High-throughput, Continuous Cell Growth Experiments Using eVOLVER
07:26

Designing Automated, High-throughput, Continuous Cell Growth Experiments Using eVOLVER

Published on: May 19, 2019

Simultaneous Assessment of Kinship, Division Number, and Phenotype via Flow Cytometry for Hematopoietic Stem and Progenitor Cells
10:20

Simultaneous Assessment of Kinship, Division Number, and Phenotype via Flow Cytometry for Hematopoietic Stem and Progenitor Cells

Published on: March 24, 2023

Live Cell Imaging with Time Lapse Photography to Study Epidermal Keratinocyte Proliferation Kinetics
07:21

Live Cell Imaging with Time Lapse Photography to Study Epidermal Keratinocyte Proliferation Kinetics

Published on: June 6, 2025

Area of Science:

  • Quantitative Biology
  • Biomathematics
  • Cell Biology

Background:

  • Cell lineage tracing is crucial for understanding cell development and population dynamics.
  • Existing autoregression models may not fully capture variations in cell characteristics across generations.
  • Accurate modeling is needed to distinguish inherited traits from environmental influences.

Purpose of the Study:

  • To extend the bifurcating autoregression model for cell lineage data.
  • To incorporate observations with means that vary across generations.
  • To provide a robust framework for analyzing cell population heterogeneity.

Main Methods:

  • Developed an extended bifurcating autoregression model.
  • Employed maximum likelihood estimation to derive model parameters.
  • Applied the model to estimate generation means and overall variance.
  • Utilized correlation analyses to assess inherited and environmental effects.

Main Results:

  • The extended model successfully accommodates generational mean variations in cell lineage data.
  • Maximum likelihood estimates provided accurate estimations of generation means and variance.
  • The model effectively quantified mother-daughter correlations (inherited effects) and sister-sister correlations (environmental effects).

Conclusions:

  • The enhanced bifurcating autoregression model offers a powerful tool for analyzing complex cell lineage data.
  • This approach allows for a more nuanced understanding of factors driving cell population growth and differentiation.
  • The model's application to EMT6 cells and E. coli demonstrates its broad utility in biological research.