Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
September 25, 2025Open Access

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

View Full Paper
Ask AI
Bookmark
Share

Authors

NZNancy ZhangYFYuntian FuDMDivij Mathew

Discussion

Loading...

Member takes

Overview

Computational analysis reveals insights into clonal dynamics and T cell fate biases, suggesting new avenues for research.

Key Points

  • Clonotrace improves the inference of cell fate transitions and biases from single-cell data.
  • The framework identifies differentiation hierarchies, distinguishing unipotent and multipotent states.
  • Lineage barcodes enhance the understanding of T cell responses in immunotherapy settings.
  • Clonotrace is applicable to diverse systems, including hematopoietic differentiation and cancer therapy.

Cite This Study

Zhang et al. (2025) studied this question.

synapsesocial.com/papers/68d5db0cddad3c16d46378d9https://doi.org/10.21203/rs.3.rs-7510946/v1
View Full Paper
Ask AI
Bookmark
Share

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