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Next-Generation Lineage Tracing and Fate Mapping to Interrogate Development.

Sadie VanHorn1, Samantha A Morris1

  • 1Department of Developmental Biology Washington, University School of Medicine in St. Louis, 660 S. Euclid Avenue, Campus Box 8103, St. Louis, MO 63110, USA; Department of Genetics Washington, University School of Medicine in St. Louis, 660 S. Euclid Avenue, Campus Box 8103, St. Louis, MO 63110, USA; Center of Regenerative Medicine, Washington University School of Medicine in St. Louis, 660 S. Euclid Avenue, Campus Box 8103, St. Louis, MO 63110, USA.

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Summary

Lineage tracing and fate mapping are evolving disciplines. New genomic technologies are enabling high-resolution lineage reconstruction and the potential for advanced, spatially-informed fate maps to deepen developmental insights.

Keywords:
fate mappinglineage tracingsingle-cell RNA sequencingspatial transcriptomics

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Area of Science:

  • Developmental Biology
  • Genomics
  • Cell Biology

Background:

  • Lineage tracing identifies cell progeny and hierarchies.
  • Fate maps show embryonic tissue origins but lack dynamic data.
  • Both fields have evolved significantly over the past century.

Purpose of the Study:

  • To review the historical development of lineage tracing and fate mapping.
  • To highlight recent advancements in lineage tracing driven by single-cell genomics.
  • To explore the potential of new technologies for creating high-resolution fate maps.

Main Methods:

  • Review of historical and recent literature on lineage tracing and fate mapping.
  • Focus on single-cell and spatial transcriptomics for lineage reconstruction.
  • Discussion of integrating genomic data for improved fate map synthesis.

Main Results:

  • Genomic technologies have revolutionized lineage tracing resolution.
  • Traditional fate maps offer spatial context often missing in lineage data.
  • A synthesis of lineage tracing and fate mapping offers new developmental insights.

Conclusions:

  • Advanced genomic tools are transforming lineage tracing capabilities.
  • There is significant potential to create high-resolution, dynamic fate maps.
  • These integrated approaches promise deeper understanding of embryonic development.