Mapping Lineage-traced Cells Across Time Points with Moslin

Overview

Journal Genome Biol

Specialties Biology
Genetics

Date 2024 Oct 21

PMID 39434128

Authors

Marius Lange

Zoe Piran

Michal Klein

Bastiaan Spanjaard

Dominik Klein

Jan Philipp Junker

Fabian J Theis

Mor Nitzan

Affiliations

Soon will be listed here.

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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