Mapping lineage-traced cells across time points with moslin
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Date
2024-10-21
Publication Type
Journal Article
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yes
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Abstract
Simultaneous profiling of single-cell gene expression and lineage history holds enormous potential for studying cellular decision-making. Recent computational approaches combine both modalities into cellular trajectories; however, they cannot make use of all available lineage information in destructive time-series experiments. Here, we present moslin, a Gromov-Wasserstein-based model to couple cellular profiles across time points based on lineage and gene expression information. We validate our approach in simulations and demonstrate on Caenorhabditis elegans embryonic development how moslin predicts fate probabilities and putative decision driver genes. Finally, we use moslin to delineate lineage relationships among transiently activated fibroblast states during zebrafish heart regeneration.
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published
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Volume
25 (1)
Pages / Article No.
277
Publisher
BioMed Central
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Subject
Fate decisions; Lineage tracing; Cellular dynamics; Optimal transport; Regeneration