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September 10, 2025Open Access

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

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Authors

YFYuntian FuDMDivij MathewMWMingshuang Wang

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Overview

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

Key Points

  • 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.

Cite This Study

Fu et al. (2025) studied this question.

synapsesocial.com/papers/68c23caeb210217d6478a122https://doi.org/10.1101/2025.09.01.673503
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Deciphering Cell Fate and Clonal Dynamics via Integrative Single-Cell Lineage Modeling2025
  2. 2CLADES: a hybrid NeuralODE-Gillespie approach for unveiling clonal cell fate and differentiation dynamics2025 · 5 citations
  3. 3Cell Fate Determination and Lineage Tracing: Technological Evolution and Multidimensional Applications2025
  4. 4Introduction to a review series on clonal tracking in hematopoiesis2026
  5. 5De Novo Detection of Clonal Structure and Evolution in Single-Cell and Spatial Transcriptomes2025