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

7.2K
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...
7.2K
Phylogeny01:23

Phylogeny

64.3K
Phylogeny is concerned with the evolutionary diversification of organisms or groups of organisms. A group of organisms with a name is called a taxon (singular). Taxa (plural) can span different levels of the evolutionary hierarchy. For instance, the group containing all birds is a taxon (comprising the class Aves), and the group of all species of daisies (the genus Bellis) is a taxon. Phylogenies can likewise include just one genus (i.e., depict species relationships) or span an entire kingdom.
64.3K
Phylogenetic Trees03:21

Phylogenetic Trees

51.4K
Phylogenetic trees come in many forms. It matters in which sequence the organisms are arranged from the bottom to the top of the tree, but the branches can rotate at their nodes without altering the information. The lines connecting individual nodes can be straight, angled, or even curved.
51.4K
Phylogenetic Trees03:21

Phylogenetic Trees

6.7K
6.7K
Gene Evolution - Fast or Slow?02:05

Gene Evolution - Fast or Slow?

8.3K
The genomes of eukaryotes are punctuated by long stretches of sequence which do not code for proteins or RNAs. Although some of these regions do contain crucial regulatory sequences, the vast majority of this DNA serves no known function. Typically, these regions of the genome are the ones in which the fastest change, in evolutionary terms, is observed, because there is typically little to no selection pressure acting on these regions to preserve their sequences.
In contrast, regions which code...
8.3K
Applications of Molecular Taxonomy01:20

Applications of Molecular Taxonomy

648
Molecular taxonomy has revolutionized the understanding and classification of bacteria, providing precise insights into their diversity, evolutionary relationships, and ecological roles. By utilizing molecular techniques such as DNA sequencing and fingerprinting, researchers have made significant strides in various fields related to bacterial studies.Resolving Taxonomic AmbiguitiesMolecular taxonomy has been instrumental in distinguishing closely related bacterial species initially thought to...
648

You might also read

Related Articles

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

Sort by
Same author

Guarding epithelial integrity: origins of adaptive immunity and cancer immunosurveillance over time and space.

Journal for immunotherapy of cancer·2026
Same author

Whole-genome doubling drives immune evasion by silencing antigen presentation.

Cancer cell·2026
Same author

An international framework for clinical translation of molecular classifiers in osteosarcoma.

NPJ precision oncology·2026
Same author

Enforced ZFP281 expression delays breast cancer initiation and can provide lifelong protection against breast cancer metastasis.

bioRxiv : the preprint server for biology·2026
Same author

Temporal and spatial composition of the tumor microenvironment predicts response to immune checkpoint inhibition in metastatic TNBC.

Nature cancer·2026
Same author

High-confidence structural predictions of extrachromosomal DNA with ecDNAInspector.

bioRxiv : the preprint server for biology·2026

Related Experiment Video

Updated: Mar 17, 2026

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin
08:57

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin

Published on: August 14, 2018

16.6K

Inferring Tumor Phylogenies from Multi-region Sequencing.

Zheng Hu1, Christina Curtis1

  • 1Departments of Medicine and Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA; Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA 94305, USA.

Cell Systems
|July 29, 2016
PubMed
Summary

A novel computational approach reveals the diverse cell types and evolutionary paths within tumors. This method enhances our understanding of tumor heterogeneity and development.

More Related Videos

Comparative Lesions Analysis Through a Targeted Sequencing Approach
08:16

Comparative Lesions Analysis Through a Targeted Sequencing Approach

Published on: November 5, 2019

7.3K
Author Spotlight: Enhancing Nuclei Isolation for Multiome Sequencing in Challenging Tumor Microenvironments
03:49

Author Spotlight: Enhancing Nuclei Isolation for Multiome Sequencing in Challenging Tumor Microenvironments

Published on: October 13, 2023

2.0K

Related Experiment Videos

Last Updated: Mar 17, 2026

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin
08:57

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin

Published on: August 14, 2018

16.6K
Comparative Lesions Analysis Through a Targeted Sequencing Approach
08:16

Comparative Lesions Analysis Through a Targeted Sequencing Approach

Published on: November 5, 2019

7.3K
Author Spotlight: Enhancing Nuclei Isolation for Multiome Sequencing in Challenging Tumor Microenvironments
03:49

Author Spotlight: Enhancing Nuclei Isolation for Multiome Sequencing in Challenging Tumor Microenvironments

Published on: October 13, 2023

2.0K

Area of Science:

  • Oncology
  • Computational Biology
  • Genomics

Background:

  • Tumor heterogeneity poses a significant challenge in cancer treatment and understanding tumor evolution.
  • Existing methods often struggle to fully capture the complex cellular diversity within a tumor microenvironment.

Purpose of the Study:

  • To introduce a new computational method for analyzing single-cell data.
  • To elucidate cellular heterogeneity and reconstruct evolutionary histories of cells within tumors.

Main Methods:

  • Development and application of a novel computational algorithm.
  • Analysis of single-cell genomic or transcriptomic data from tumor samples.

Main Results:

  • The method successfully identified distinct cell populations within tumors.
  • It provided insights into the evolutionary trajectories and relationships between these cell populations.
  • Demonstrated the capability to reveal previously uncharacterized cellular states.

Conclusions:

  • The new computational method offers a powerful tool for dissecting tumor heterogeneity.
  • It advances the study of cancer evolution and has potential implications for therapeutic strategies.