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

Cell Lines01:16

Cell Lines

7.1K
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...
7.1K
Lineage Commitment01:21

Lineage Commitment

2.9K
Commitment is the  process whereby stem cells:
2.9K
Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

5.6K
Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
5.6K

You might also read

Related Articles

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

Sort by
Same author

Pairwise causal discovery in biochemical networks: A survey on directionality inference within complex networks from stationary observations.

PloS one·2026
Same author

Unifying theories in high-dimensional biophysics: approaches, challenges and opportunities.

NPJ systems biology and applications·2026
Same author

A thermodynamic perspective on mammalian neural crest ingression.

Proceedings of the National Academy of Sciences of the United States of America·2025
Same author

Early human fetal lung atlas reveals the temporal dynamics of epithelial cell plasticity.

Nature communications·2024
Same author

Fatecode enables cell fate regulator prediction using classification-supervised autoencoder perturbation.

Cell reports methods·2024
Same author

Inferring single-cell transcriptomic dynamics with structured latent gene expression dynamics.

Cell reports methods·2023

Related Experiment Video

Updated: May 13, 2025

A Method for Lineage Tracing of Corneal Cells Using Multi-color Fluorescent Reporter Mice
07:48

A Method for Lineage Tracing of Corneal Cells Using Multi-color Fluorescent Reporter Mice

Published on: December 18, 2015

17.3K

Limitations and optimizations of cellular lineages tracking.

Nava Leibovich1,2, Sidhartha Goyal2,3

  • 1NRC-Fields Mathematical Sciences Collaboration Centre, National Research Council of Canada, Toronto, Ontario, Canada.

Plos Computational Biology
|April 14, 2025
PubMed
Summary

Genetic barcode strategies for tracking cellular lineages are crucial but require optimization. This study reveals a trade-off between the number of traceable lineages and inference accuracy, offering optimal parameters for efficient lineage tracing.

More Related Videos

Lineage Tracing and Clonal Analysis in Developing Cerebral Cortex Using Mosaic Analysis with Double Markers MADM
09:25

Lineage Tracing and Clonal Analysis in Developing Cerebral Cortex Using Mosaic Analysis with Double Markers MADM

Published on: May 8, 2020

10.5K
Live Imaging Followed by Single Cell Tracking to Monitor Cell Biology and the Lineage Progression of Multiple Neural Populations
10:55

Live Imaging Followed by Single Cell Tracking to Monitor Cell Biology and the Lineage Progression of Multiple Neural Populations

Published on: December 16, 2017

8.6K

Related Experiment Videos

Last Updated: May 13, 2025

A Method for Lineage Tracing of Corneal Cells Using Multi-color Fluorescent Reporter Mice
07:48

A Method for Lineage Tracing of Corneal Cells Using Multi-color Fluorescent Reporter Mice

Published on: December 18, 2015

17.3K
Lineage Tracing and Clonal Analysis in Developing Cerebral Cortex Using Mosaic Analysis with Double Markers MADM
09:25

Lineage Tracing and Clonal Analysis in Developing Cerebral Cortex Using Mosaic Analysis with Double Markers MADM

Published on: May 8, 2020

10.5K
Live Imaging Followed by Single Cell Tracking to Monitor Cell Biology and the Lineage Progression of Multiple Neural Populations
10:55

Live Imaging Followed by Single Cell Tracking to Monitor Cell Biology and the Lineage Progression of Multiple Neural Populations

Published on: December 16, 2017

8.6K

Area of Science:

  • Genetics
  • Systems Biology
  • Bioinformatics

Background:

  • Genetic barcoding is a powerful tool for tracking cellular lineages across biological studies.
  • Current barcoding strategies are often empirical and lack systematic optimization.

Purpose of the Study:

  • To investigate the relationship between barcode insertion probability and lineage tracing outcomes.
  • To identify optimal experimental parameters for maximizing traceable lineages while maintaining accuracy.

Main Methods:

  • Computational modeling to analyze the impact of barcode insertion rates on lineage inference.
  • Evaluation of the trade-off between the number of unique barcodes and the accuracy of lineage reconstruction.
  • Determination of optimal cell population size and barcode pool complexity.

Main Results:

  • Increasing barcode insertion probability enhances the number of traceable lineages.
  • Higher insertion rates can decrease lineage inference accuracy due to increased sequencing errors.
  • A clear trade-off exists between lineage count and accuracy.

Conclusions:

  • Optimizing genetic barcoding requires balancing the number of traceable lineages with inference accuracy.
  • The study provides a framework for determining optimal experimental parameters for lineage tracing under resource constraints.