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. 2023 Sep 25;42(6):946–959. doi: 10.1038/s41587-023-01931-4

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© The Author(s) 2023

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Extended Data Fig. 4 — (a) Marker gene expression and (b) accessibility projected on the FA embedding for various hematopoietic cell fates. (c) FA embedding with the full set of cell annotations in the hematopoiesis dataset projected. (d) Bar plot summarizing proportion of cells with at least one detectable CellTag across major cell fate clusters. CellTags are profiled uniformly across all cell states. (e) Table summarizing number of clones identified in each fate. Clonal fate was annotated using the most dominant cell type amongst Day 5 fate siblings. (f) Schematic depicting joint embedding of sub-clones with cells using the clone-cell embedding method. (g) FA embedding with fate sub-clone nodes for major lineages highlighted. (h) Plot showing that fate bias increases from the periphery of each state group towards the center. The closeness metric is directly proportional to the closeness of a state sub-clone node to the centroid of its state group in a 30-dimensional UMAP space (Methods).