Related Experiment Video
Updated: Mar 1, 2026

09:25
Lineage Tracing and Clonal Analysis in Developing Cerebral Cortex Using Mosaic Analysis with Double Markers MADM
Published on: May 8, 2020
11.4K
Charting single-cell lineages with synthetic and natural barcodes
Alejo E Rodriguez-Fraticelli1,2, Victoria Parreno3
1IRB Barcelona, Barcelona Institute of Science and Technology, Barcelona, Spain. alejo.rodriguez-fraticelli@irbbarcelona.org.
Nature Reviews. Genetics
|February 27, 2026
Summary
Cellular lineage tracing uses advanced barcoding to reconstruct cell family trees, offering new insights into development, aging, and cancer. This technology may soon aid in clinical disease detection and prevention.
Area of Science:
- Cellular and Molecular Biology
- Developmental Biology
- Cancer Biology
Background:
- Cellular division and differentiation form organ structures throughout life.
- With aging and cancer, specific cell clones can dominate organismal fate.
- Phenotypic heterogeneity underlies diverse cellular functions like regeneration and stress response.
Purpose of the Study:
- To explore how single-cell lineage tracing reconstructs cellular ancestries.
- To re-evaluate established concepts in development, aging, and cancer biology.
- To understand the basis of phenotypic heterogeneity in cellular functions.
Main Methods:
- Utilizing synthetic and natural barcoding techniques for cellular ancestry reconstruction.
- Employing single-cell resolution for high-precision lineage tracing.
- Developing multimodal tracing methods integrating spatial, genetic, epigenetic, and transcriptomic data.
Main Results:
- Single-cell lineage tracing enables unprecedented resolution of cellular ancestries.
- These studies are reshaping fundamental understanding in development, aging, and cancer.
- Insights into phenotypic heterogeneity and its role in cellular functions are emerging.
Conclusions:
- Cellular lineage tracing is revolutionizing developmental, aging, and cancer research.
- Advancements in multimodal tracing are overcoming methodological challenges.
- Future clinical applications of clonal analysis may enhance disease detection, prediction, and prevention.

