Download
Data & archive
Per-embryo H5TD files — gene expression counts, cell metadata, and lineage trees — along with combined CSV tables are archived on Zenodo. Each box below links directly to that file for download.
Open Zenodo record ↗H5TD files containing gene expression counts, cell meta data, and lineage trees can be loaded using TreeData and analyzed using Pycea, or visualized directly using CELLxLINEAGE. R users can load H5TD files using TreeDataR.
New to the data? The mouse embryogenesis tutorial in the Pycea documentation is a good place to start analyzing it.
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E7.5 · R1
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E7.5 · R2
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E7.5 · R3
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E8.0 · R1
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E8.0 · R2
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E8.0 · R3
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E8.5 · R1
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E8.5 · R2
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E8.5 · R3
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E9.0 · R1
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E9.0 · R2
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E9.0 · R3
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E9.5 · R1
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E9.5 · R2
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E9.5 · R3
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E10.0 · R1
Combined tables
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Cell metadata
Per-cell metadata for all embryos.
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Lineage characters
Lineage-tracing character matrix.
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Spatial scores
Per-cell spatial scores.
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UMAP
UMAP embedding coordinates.
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scVI
scVI latent embedding.
Supplementary tables
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Embryo statistics
Embryo-level sequencing and tracing statistics (Table S1).
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Cell subtypes
Cell subtypes with markers and rationale (Table S2).
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E9.5 pairwise linkage
E9.5 pairwise linkage values with annotation (Table S3).
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Fate-restricted clades
E9.5 fate-restricted clade statistics (Table S4).
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Gene program annotations
All 70 programs — genes, size, active cell types, name, and description (Table S5).
Cite this dataset
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
BibTeX
@article{colgan2026mela,
title = {Comprehensive Lineage Tracing Maps the Landscape of Cell Fate Decisions in Mouse Embryogenesis},
author = {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},
journal = {bioRxiv},
year = {2026},
doi = {10.64898/2026.05.07.722278},
url = {https://www.biorxiv.org/content/10.64898/2026.05.07.722278v2}
}