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

Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

5.9K
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...
5.9K
Modern Molecular Taxonomy01:29

Modern Molecular Taxonomy

60
Advancements in molecular biology have revolutionized the identification and characterization of bacteria, with multiple methods leveraging DNA sequencing for enhanced precision. As sequencing technologies improve and costs decline, these approaches are increasingly used in clinical, environmental, and evolutionary studies.Multilocus Sequence Typing (MLST) examines several housekeeping genes, essential chromosomal genes encoding cellular functions, to distinguish strains. Approximately...
60
T Cell Activation and Clonal Selection01:22

T Cell Activation and Clonal Selection

871
T cells are integral to our adaptive immune system, recognizing and effectively responding to foreign antigens. T cell activation and clonal selection are pivotal in orchestrating this immune response. This article elucidates these mechanisms, detailing the roles of cluster of differentiation (CD) markers, major histocompatibility complex (MHC) molecules, costimulatory signals, and the process of clonal selection.
Naive T cells that have not yet encountered an antigen express two primary CD...
871

You might also read

Related Articles

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

Sort by
Same author

Clonal Lineage Tracing Reveals Distinct Invasive Subpopulations in Triple-Negative Breast Cancer.

Tissue engineering. Part C, Methods·2026
Same author

Heterogeneous, population-level drug-tolerant persisters exhibit ion-channel remodeling and ferroptosis susceptibility.

bioRxiv : the preprint server for biology·2026
Same author

Deep learning identifies heterogeneous subpopulations in breast cancer cell lines.

npj biomedical innovations·2026
Same author

Cell barcoding reveals lineage-dependent outcomes in hiPSC cardiac differentiation.

Stem cells (Dayton, Ohio)·2026
Same author

Development of low-cost electrical stimulation device to promote hiPSC-CM differentiation and functionality.

APL bioengineering·2026
Same author

Cell Barcoding Reveals Lineage-dependent Outcomes in hiPSC Cardiac Differentiation.

bioRxiv : the preprint server for biology·2025

Related Experiment Video

Updated: Aug 1, 2025

Genetic Barcoding with Fluorescent Proteins for Multiplexed Applications
13:14

Genetic Barcoding with Fluorescent Proteins for Multiplexed Applications

Published on: April 14, 2015

9.3K

Cellular barcoding tracks heterogeneous clones through selective pressures and phenotypic transitions.

Kennedy K Howland1, Amy Brock1

  • 1Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX 78734, USA.

Trends in Cancer
|April 27, 2023
PubMed
Summary

Genomic DNA barcoding combined with single-cell transcriptomics tracks cancer cell clones. This approach reveals how tumor cell heterogeneity, selection, and plasticity drive cancer progression and treatment response.

Keywords:
barcodingdrug resistancephenotypic plasticitytumor evolutiontumor heterogeneity

More Related Videos

Competitive Genomic Screens of Barcoded Yeast Libraries
11:59

Competitive Genomic Screens of Barcoded Yeast Libraries

Published on: August 11, 2011

18.4K
BEST: Barcode Enabled Sequencing of Tetrads
12:59

BEST: Barcode Enabled Sequencing of Tetrads

Published on: May 1, 2014

10.2K

Related Experiment Videos

Last Updated: Aug 1, 2025

Genetic Barcoding with Fluorescent Proteins for Multiplexed Applications
13:14

Genetic Barcoding with Fluorescent Proteins for Multiplexed Applications

Published on: April 14, 2015

9.3K
Competitive Genomic Screens of Barcoded Yeast Libraries
11:59

Competitive Genomic Screens of Barcoded Yeast Libraries

Published on: August 11, 2011

18.4K
BEST: Barcode Enabled Sequencing of Tetrads
12:59

BEST: Barcode Enabled Sequencing of Tetrads

Published on: May 1, 2014

10.2K

Area of Science:

  • Cancer research
  • Genomics
  • Molecular biology

Background:

  • Cancer cell populations are heterogeneous.
  • Understanding clonal dynamics is crucial for cancer progression and treatment.
  • Genomic DNA barcoding offers a method to track clonal cell fates.

Purpose of the Study:

  • To explore the application of genomic DNA barcoding coupled with single-cell transcriptomics.
  • To enable longitudinal analysis of molecular mechanisms at the clone level.
  • To investigate tumor cell heterogeneity, selection, and phenotypic plasticity in cancer.

Main Methods:

  • Genomic DNA barcoding for clonal subpopulation tracking.
  • Single-cell transcriptomics for molecular profiling.
  • Longitudinal analysis of cellular barcoding and transcriptomic data.

Main Results:

  • Demonstrated the capability of genomic DNA barcoding to measure clonal subpopulation dynamics.
  • Enabled detailed, clone-level resolution of molecular mechanisms.
  • Facilitated tracking of clonal cell states during cancer progression and treatment response.

Conclusions:

  • Genomic DNA barcoding and single-cell transcriptomics are powerful tools for studying cancer.
  • These technologies provide new opportunities to address fundamental questions in cancer biology.
  • Insights into tumor heterogeneity, selection, and plasticity can be gained.