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Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

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...
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Lineage Commitment

Commitment is the  process whereby stem cells:
Next-generation Sequencing03:00

Next-generation Sequencing

The first human genome sequencing project cost $2.7 billion and was declared complete in 2003, after 15 years of international cooperation and collaboration between several research teams and funding agencies. Today, with the advent of next-generation sequencing technologies, the cost and time of sequencing a human genome have dropped over 100 fold.
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features.

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Related Experiment Video

Updated: May 27, 2026

Comparative Lesions Analysis Through a Targeted Sequencing Approach
08:16

Comparative Lesions Analysis Through a Targeted Sequencing Approach

Published on: November 5, 2019

Decoding cell lineage from acquired mutations using arbitrary deep sequencing.

Cheryl A Carlson1, Arnold Kas, Robert Kirkwood

  • 1Department of Pathology, University of Washington School of Medicine, Seattle, Washington, USA.

Nature Methods
|November 29, 2011
PubMed
Summary
This summary is machine-generated.

Genomic mutations create a unique cellular record of ancestry. This study uses arbitrary single primer PCR and next-generation sequencing to map these mutations and reconstruct cell lineages in mice, enabling future cell-fate mapping.

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VDJ-Seq: Deep Sequencing Analysis of Rearranged Immunoglobulin Heavy Chain Gene to Reveal Clonal Evolution Patterns of B Cell Lymphoma
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Characterizing Mutational Load and Clonal Composition of Human Blood
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Characterizing Mutational Load and Clonal Composition of Human Blood

Published on: July 11, 2019

Related Experiment Videos

Last Updated: May 27, 2026

Comparative Lesions Analysis Through a Targeted Sequencing Approach
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Comparative Lesions Analysis Through a Targeted Sequencing Approach

Published on: November 5, 2019

VDJ-Seq: Deep Sequencing Analysis of Rearranged Immunoglobulin Heavy Chain Gene to Reveal Clonal Evolution Patterns of B Cell Lymphoma
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VDJ-Seq: Deep Sequencing Analysis of Rearranged Immunoglobulin Heavy Chain Gene to Reveal Clonal Evolution Patterns of B Cell Lymphoma

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Characterizing Mutational Load and Clonal Composition of Human Blood
07:58

Characterizing Mutational Load and Clonal Composition of Human Blood

Published on: July 11, 2019

Area of Science:

  • Genomics
  • Developmental Biology
  • Molecular Biology

Background:

  • Somatic cells within a multicellular organism accumulate unique mutations over time.
  • These mutations form a record of cellular ancestry and lineage.
  • Understanding this process is crucial for developmental biology and disease research.

Purpose of the Study:

  • To develop a method for cataloging mutations in somatic cells.
  • To reconstruct the phylogenetic history (ancestry) of cultured mouse cells.
  • To establish a foundation for retrospective cell-fate mapping.

Main Methods:

  • Coupling arbitrary single primer PCR with next-generation DNA sequencing.
  • Applying the method to catalog mutations in cultured mouse cells.
  • Deconvolving the phylogeny of the cell population.

Main Results:

  • Successfully cataloged mutations within cultured mouse cells.
  • Reconstructed the phylogenetic relationships among the cells.
  • Demonstrated the feasibility of mutation-based lineage tracing.

Conclusions:

  • Genomic mutations provide a heritable barcode for tracing cell lineages.
  • The developed method enables retrospective reconstruction of cell-fate.
  • This approach has significant implications for understanding development and disease progression.