RT networks

RT networks constructs replication-timing (RT) regulatory networks from genome-wide RT profiles across 15 distinct human cell types, including differentiation stages derived from human embryonic stem cells, to link replication timing changes with transcriptional regulatory networks and identify transcription factors and master regulators involved in lineage specification.

Key Features:

• Construction of Complex RT Networks: Generates detailed RT networks from coordinated replication timing changes observed during cell fate commitment, yielding networks of thousands of interactions with specific functional subnetwork communities.
• Directional Regulatory Network Analysis: Constructs directional regulatory networks by analyzing the temporal order of RT changes within cell lineages to identify master regulators that drive differentiation pathways.
• Integration with Transcriptional Regulatory Networks (TRNs): Integrates RT networks with TRNs to form composite and bipartite network structures that reveal directional interactions between transcription factors and replication timing changes.
• Identification of Core Transcription Factors: Identifies transcription factors that bind cooperatively to sites within affected replication domains, linking transcriptional regulation with RT control and contributing to cell-type-specific TRNs during lineage specification.

Scientific Applications:

• Studying cellular differentiation and lineage specification: Maps regulatory links between transcription factors and replication timing to elucidate mechanisms of cell fate commitment.
• Developmental biology: Dissects how replication timing changes coordinate with transcriptional programs across differentiation stages derived from human embryonic stem cells.
• Cancer research: Applies RT–TRN network analysis to investigate regulatory alterations relevant to tumorigenesis.
• Regenerative medicine: Informs strategies for controlling gene expression and cell fate by characterizing RT and transcription factor interactions.

Methodology:

Utilizes genome-wide replication timing profiles from multiple human cell types; builds networks based on coordinated RT changes during differentiation; performs directional network analysis to identify master regulators and core transcription factors; and integrates RT networks with TRNs to explore composite regulatory circuitries.