LIGAP

LIGAP models and analyzes transcriptional time-course dynamics across multiple lineages to identify lineage- and time-dependent gene regulation during T helper (Th) cell differentiation.

Key Features:

• Temporal Modeling: Explicitly models temporal behavior of transcriptional profiles across entire time-course experiments.
• Integrative Analysis: Analyzes multiple lineages simultaneously to detect genes with distinct lineage commitment dynamics and those initiating differentiation into Th cell subsets.
• Data Integration: Integrates transcriptional profiles from multiple lineages over time.
• Differential Expression Analysis: Identifies lineage-specific and reciprocally regulated genes from time-course data.
• Mechanistic Integration: Combines differentially expressed gene data with transcription factor binding site and pathway information to infer transcriptional mechanisms.
• Visualization: Summarizes time-course measurements along with associated uncertainties to facilitate assessment and interpretation.

Scientific Applications:

• T helper cell differentiation analysis: Uncovers molecular mechanisms underpinning T helper (Th) cell differentiation in immunology research.
• Transcriptional profiling of cord blood T cells: Analyzes transcriptional data from human umbilical cord blood T helper cells cultured under cytokine conditions promoting Th1 or Th2 differentiation to identify and validate genes differentially regulated across Th subsets.

Methodology:

Explicit temporal modeling of time-course profiles; integration of transcriptional profiles from multiple lineages over time; differential expression analysis to identify lineage-specific and reciprocally regulated genes; combination of differentially expressed gene data with transcription factor binding site and pathway information; summarization of time-course measurements with associated uncertainties.