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September 10, 2025Open Access

Deciphering Cell Fate and Clonal Dynamics via Integrative Single-Cell Lineage Modeling

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Computational framework integrates gene expression and clonotype data, suggesting improved insights into T cell dynamics.

Clonotrace reveals cell state transitions and fate biases effectively, improving understanding of T cell differentiation.
Using an integrated approach, the model analyzes gene expression along with clonal data to enhance inference.
This methodology addresses challenges in T cell populations, especially in immunotherapy and tumor analysis.
Clonotrace distinguishes developmental hierarchies and identifies critical genes influencing lineage commitment.

Fu et al. (2025) studied this question.

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September 10, 2025Open Access

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Authors

Computational framework integrates gene expression and clonotype data, suggesting improved insights into T cell dynamics.

Clonotrace reveals cell state transitions and fate biases effectively, improving understanding of T cell differentiation.
Using an integrated approach, the model analyzes gene expression along with clonal data to enhance inference.
This methodology addresses challenges in T cell populations, especially in immunotherapy and tumor analysis.
Clonotrace distinguishes developmental hierarchies and identifies critical genes influencing lineage commitment.

Fu et al. (2025) studied this question.

View Full Paper

Ask AI

Bookmark