CSTEA

CSTEA organizes, analyzes, and visualizes time-course gene expression data to characterize temporal changes during cell differentiation, cellular reprogramming, and trans-differentiation in human and mouse models.

Key Features:

• Time-course gene expression analysis: Handles time-series gene expression data to track temporal changes during differentiation, reprogramming, and trans-differentiation.
• Gene signature definition: Defines gene signatures for previously uncharacterized stages within cell state transitions.
• Visualization tools: Provides visualization of complex temporal gene expression patterns to support interpretation of dynamic changes.
• Cross-species analysis: Supports comparative analysis between human and mouse models to identify conserved mechanisms.

Scientific Applications:

• Cell fate determination: Enables analysis of molecular events underlying transitions between cell states.
• Developmental biology: Facilitates study of temporal gene expression dynamics during developmental processes.
• Regenerative medicine: Supports investigation of cellular reprogramming and trans-differentiation relevant to regenerative strategies.
• Disease modeling: Allows temporal profiling of gene expression in disease-associated cell state changes.

Methodology:

Computational steps explicitly stated are organization, analysis, and visualization of time-course (time-series) gene expression data, definition of gene signatures for transition stages, and cross-species (human–mouse) comparative analysis.