cellAlign

cellAlign compares gene expression dynamics across single-cell trajectories using single-cell RNA sequencing (scRNA-seq) and high-dimensional cytometry to quantify temporal regulation during cellular differentiation and development.

Key Features:

• Quantitative framework: Provides a statistical framework to quantify and compare expression dynamics across single-cell trajectories.
• Trajectory comparison (intra- and inter-trajectory): Enables systematic analysis of expression dynamics within a single trajectory and between different trajectories.
• Temporal regulation analysis: Delineates differences in the timing and regulation of gene expression programs across trajectories.
• Data integration: Leverages single-cell RNA sequencing (scRNA-seq) and high-dimensional cytometry data as input for trajectory construction and comparison.

Scientific Applications:

• Developmental biology: Characterizes temporal gene regulation during cellular differentiation and developmental processes.
• Regenerative medicine: Compares expression dynamics relevant to cell fate decisions and lineage specification in regenerative contexts.
• Comparative embryonic development: Analyzes mouse and human embryonic development trajectories to identify conserved and divergent regulatory programs.

Methodology:

Integrates scRNA-seq and high-dimensional cytometry data to construct single-cell differentiation trajectories and systematically compare intra- and inter-trajectory gene expression dynamics.