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Updated: Sep 27, 2025

A Method for Lineage Tracing of Corneal Cells Using Multi-color Fluorescent Reporter Mice
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Lineage tracing in human tissues.

Calum Gabbutt1,2,3, Nicholas A Wright1, Ann-Marie Baker1,2

  • 1Centre for Genomics and Computational Biology, Barts Cancer Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK.

The Journal of Pathology
|April 13, 2022
PubMed
Summary
This summary is machine-generated.

Somatic mutations in human tissues act as lineage tracing markers to study cell division dynamics. Mathematical analysis of these mutations reveals insights into tissue homeostasis and cancer development, using the colon as an example.

Keywords:
DNA sequencingadult stem cellsclonal dynamicsclonality analysiscolonhaemopoietic stem cellsin situ hybridisationintestinal stem cellslineage tracingquantitative methods

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Area of Science:

  • Cellular dynamics and genomics
  • Quantitative biology
  • Human tissue homeostasis

Background:

  • Cell division is fundamental to human homeostasis but difficult to observe directly in vivo.
  • Somatic mutations accumulate over an individual's lifetime and serve as heritable markers.
  • These mutations delineate clonal expansions, providing a record of cell dynamics.

Purpose of the Study:

  • To review somatic mutation types used for lineage tracing in human tissues.
  • To introduce mathematical concepts for inferring cell dynamics from clone size data.
  • To discuss the implications of lineage tracing for understanding homeostasis and cancer.

Main Methods:

  • Analysis of somatic genetic and epigenetic mutations as lineage tracing markers.
  • Mathematical modeling of somatic clone size distributions.
  • Case study using the human colon as an exemplar tissue.

Main Results:

  • Somatic mutations provide a quantitative readout of cell birth, death, and replacement rates.
  • Lineage tracing reveals insights into tissue homeostasis and cancer development.
  • Advances in sequencing and mathematical analysis are uncovering historical cell dynamics.

Conclusions:

  • Somatic mutations are invaluable for studying in vivo cell dynamics and tissue homeostasis.
  • Mathematical analysis of mutation patterns offers a powerful tool for biological inference.
  • This approach enhances our understanding of both normal tissue maintenance and oncogenesis.