Exploratory trajectory inference reveals convergent lineages for CD8 T cells in chronic LCMV infection.

ABSTRACT: Trajectory inference refers to the task of reconstructing state sequences of dynamic processes from single-cell RNA sequencing (scRNAseq) data. This task frequently results in ambiguous results due to the noisiness of the data. While this issue has been alleviated by the incorporation of directional information from RNA velocity analyses, it remains difficult to resolve complex differentiation topologies, such as convergent trajectories. We introduce exploratory trajectory inference to address this challenge. This approach considers unsupervised clustering analysis of trajectory ensembles derived from simulation-based trajectory inference to deduce differentiation lineages in a data-driven fashion. We assess this approach to resolve the convergent differentiation trajectories in CD8 T-cell

SUBMITTER: Schleicher JT 

PROVIDER: S-EPMC12448961 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature