PofoliaShared via Pofolia

Cell· 2026Q1

Comprehensive lineage tracing maps the landscape of cell fate decisions in mouse embryogenesis

William N. Colgan, Luke W. Koblan, JoAnne Villagrana, Tien-Chi Jason Hou et al.

Short summary

A new lineage tracing method, PEtracer, reconstructs cell division histories for ~75% of cell divisions across >1.4 million cells from 16 mouse embryos, revealing reproducible lineage architecture and fate specification dynamics.

AI-generated from the title and abstract; the full text is not read.

Key points

  • PEtracer method reconstructs lineage trees for ~75% of cell divisions across >1.4 million cells from 16 mouse embryos.
  • The study reveals strikingly reproducible lineage architecture between replicate embryos.
  • Quantitative mapping of cell fate biases, restriction timing, and progenitor pool sizes throughout embryogenesis.
  • Specific insights include progressive restriction of neural crest fate and dynamics of axial elongation.

AI-generated from the title and abstract; the full text is not read.

Abstract

A comprehensive cell fate map of mammalian embryogenesis has remained out of reach given the scale, cellular diversity, and non-deterministic nature of development in utero. Here, we use PEtracer to continuously install heritable genetic marks as development progresses, reconstructing lineage trees that resolve ∼75% of cell divisions across >1.4 million cells from 16 replicate embryos. We pair these trees with deep transcriptional profiling to resolve cell fate biases, restriction timing, progenitor pool sizes, and lineage relationships throughout embryogenesis. Using this quantitative reference, we uncover strikingly reproducible lineage architecture between replicate embryos and chart the lineage dynamics driving fate specification across diverse tissues. Specific biological insights include the progressive restriction of neural crest fate, the relative contributions of distinct mesodermal origins to endothelium, and the dynamics of axial elongation. This work provides a foundation for a quantitative and predictive understanding of mammalian development.

The authors' abstract, as published at the source. Cell, 2026 · DOI ↗

TakeawaysPremium
Ask the paperFree account

Continue with a free account

Ask the paper: 3 free questions a day about this paper; save it, get its citation, new summaries every day for your field. Takeaways are Premium.

Continue free on the web

Sign in with Google or Apple; no card needed. You come back to this paper.

On your phone:

Field: Molecular Biology

Molecular BiologyBiochemistry, Genetics and Molecular Biology