What question did this study set out to answer?

The aim is to accurately infer individual cell trajectories using high-dimensional gene expression data and lineage tracing methods.

April 19, 2026Journal of Mathematical BiologyOpen Access

Trajectory inference for a branching SDE model of cell differentiation via lineage tracing

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Authors

EVElias VentreCentre National de la Recherche Scientifique AFAden ForrowUniversity of Oxford NGNitya GadhiwalaUniversity of British Columbia

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Implication

This method demonstrates reliable trajectory inference in cell differentiation via lineage tracing technologies, implying significant advancements in biological data analysis.

Key Points

The aim is to accurately infer individual cell trajectories using high-dimensional gene expression data and lineage tracing methods.
Utilized Global Waddington-OT for trajectory inference without prior knowledge of proliferation rates.
Extended the method to include cases of cell proliferation, focusing on absence of death or subsampling.
Addressed biases introduced by cell death and subsampling in trajectory reconstruction.
Successfully reconstructed branching SDE landscapes from simulated lineage tracing datasets.
Outperformed conventional methods relying on true branching rates that could not be experimentally accessed.

Cite This Study

Ventre et al. (2026) studied this question.

synapsesocial.com/papers/69e47250010ef96374d8e5d5 https://doi.org/10.1007/s00285-026-02375-5

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Implication

This method demonstrates reliable trajectory inference in cell differentiation via lineage tracing technologies, implying significant advancements in biological data analysis.

Trajectory inference for a branching SDE model of cell differentiation via lineage tracing

Discussion

Member takes

Implication

Key Points

Cite This Study

Trajectory inference for a branching SDE model of cell differentiation via lineage tracing

Discussion

Member takes

Implication

Key Points

Cite This Study

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