DeepTrack is presented, a lineage tracing mouse model that integrates in situ cellular barcoding with high-throughput, single-cell multi-omics to simultaneously profile clonal fates, transcriptomic states, and chromatin accessibility and provides a versatile framework for decoding multimodal regulation of cell fate across diverse developmental contexts.
Abstract
A comprehensive recording of cell fate transitions and underlying molecular changes remains a fundamental goal in developmental biology. Here, we present DeepTrack, a lineage tracing mouse model that integrates in situ cellular barcoding with high-throughput, single-cell multi-omics to simultaneously profile clonal fates, transcriptomic states, and chromatin accessibility. Using DeepTrack, we profiled clonal behaviors during gastrulation and early organogenesis, uncovered early fate priming within epiblast clones, and revealed clonal architecture within distinct regions of the nervous system. Embryo-wide multi-omic lineage tracing at single-cell resolution revealed transcriptional and epigenetic programs underlying fate commitment in neuromesodermal progenitors (NMPs). Clonal tracing with multi-omic profiles enabled inference of fate-associated gene-regulatory networks and identified the transcription factor Cdx2 as a key regulator of mesodermal specification in NMPs. Genetic perturbation of Cdx2 in chimeric embryos impaired paraxial mesoderm differentiation. Together, DeepTrack provides a versatile framework for decoding multimodal regulation of cell fate across diverse developmental contexts.
A comprehensive cell fate map of mammalian embryogenesis has remained out of reach given the scale, cellular diversity, and non-deterministic nature of development in utero. Here, we use PEtracer to continuously install heritable genetic marks as development progresses, reconstructing lineage trees that resolve ∼75% of...
William N. Colgan, Luke W. Koblan, JoAnne Villagrana et al.· Cell· 2 citations
Overall, single-cell lineage tracing is evolving from clonal labeling toward the multi-dimensional integration of lineage, state, and space, and the deep integration of precise gene-editing tools with high-resolution spatial omics technologies is expected to enable dynamic and systematic analysis of cellular fate traje...
Wan-Ying Zhang, Weike Pei· Sheng li xue bao : [Acta phy...· 0 citations
This work combines lineage tracing with single-cell transcriptomics and chromatin accessibility profiling to track clonal behaviour across human embryonic stem cell differentiation towards definitive endoderm, finding that clonally related cells exhibit reproduced, probabilistic fate outcomes that cannot be explained b...
The cell cycle phase is the major source of variability in transcription within a division cycle, and combining this with the analysis of key transcription factors and chromatin modifier state enables accurate prediction of transcriptional output during zygotic genome activation in individual cells.
Max Hess, M. Wyss, Edlyn Wu et al.· Nature Communications· 0 citations
These findings demonstrate that comparative transcriptomics can resolve developmental intermediates and cellular-state dynamics during human germ layer specification, providing a framework for evaluating lineage commitment beyond endpoint canonical marker expression, and to inform strategies for optimizing or redirecti...
Alice C. Borges, Mariana A. Branco, João P. Cotovio et al.· bioRxiv· 0 citations
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