A cell fate map of mammalian embryogenesis
The MELA dataset reconstructs lineage trees across more than 1.5 million cells from 16 mouse embryos, staged at half-day intervals from E7.5 to E10.0, and pairs them with deep transcriptional profiling to chart how cell fate is determined during gastrulation and early organogenesis.
Reconstructed lineage trees resolving ~75% of cell divisions across 16 embryos.
The project
A quantitative framework for cell fate specification
A comprehensive cell fate map of mammalian embryogenesis has long been out of reach because of the scale, cellular diversity, and non-deterministic nature of development in utero. Using PEtracer to continuously install heritable genetic marks as cells divide, we reconstruct lineage trees that resolve roughly 75% of cell divisions.
Pairing these trees with deep transcriptional profiling, we quantify fate biases, restriction timing, progenitor pool sizes, and lineage relationships across the embryo — revealing strikingly reproducible lineage architecture across replicate embryos despite the regulative flexibility of mammalian development. The result is a lineage-resolved reference for generating and contextualizing developmental hypotheses at organismal scale.
What you'll find here
Explore
Browse the full single-cell atlas interactively with CELLxLINEAGE.
Open →Linkage
An interactive heatmap of ancestral linkage between cell types.
Open →Fate
A Sankey of lineage restriction from uncommitted cells to cell types.
Open →Cell types
The cell-type hierarchy with UMAPs, markers, and lineage statistics.
Open →Gene programs
Covarying gene programs and their pairwise correlation structure.
Open →Download
Get the processed data and lineage trees from the Zenodo archive.
Open →Cite this work
Colgan WN, Koblan LW, Villagrana J, Hou T-CJ, Wang M, Gowri G, Chandler W, Sepulveda LA, Ciftci D, Smolyar K, Young A, Wittler L, Markoulaki S, Loh KM, Zhuang X, Yosef N, Smith ZD, Weissman JS. Comprehensive Lineage Tracing Maps the Landscape of Cell Fate Decisions in Mouse Embryogenesis. bioRxiv (2026).
doi: 10.64898/2026.05.07.722278
Data & citation →