Cancer CRC

Cancer CRC catalogs core transcriptional regulatory circuits (CRCs) across cancer types by integrating paired cancer ATAC-seq and H3K27ac ChIP-seq data to characterize super-enhancer (SE)-associated transcription factors (TFs) and CRC properties.

Key Features:

• Integration of sequencing data: Integrates paired cancer ATAC-seq and H3K27ac ChIP-seq data from specific cell lines to detect regulatory elements and CRCs.
• CRC catalogue: Documents 94,108 cancer CRCs encompassing 325 core TFs.
• SE Active Core TFs Analysis: Identifies potentially key TFs within CRCs by analyzing activity at super-enhancers (SEs).
• TF Enrichment Analysis: Detects enriched transcription factors within specific CRCs to highlight conserved and cancer-specific TFs.
• Comprehensive Core TF Analysis: Analyzes core TFs across cancers to reveal conserved elements and TFs unique to particular malignancies.
• Global CRC property analysis: Provides a global perspective on CRC properties across different cancer types.

Scientific Applications:

• CRC architecture characterization: Characterize CRC architectures and TF interactions that define cellular identity and fate in cancer.
• SE-associated oncogenic TF identification: Prioritize super-enhancer-associated TFs implicated in oncogenesis and tumor progression.
• Comparative cancer analysis: Compare conserved versus cancer-specific core TFs and CRC properties across multiple cancer types.
• Therapeutic target discovery: Support identification of candidate transcriptional regulators as potential therapeutic targets.

Methodology:

Integration of paired cancer ATAC-seq and H3K27ac ChIP-seq data from specific cell lines, documentation of 94,108 CRCs and 325 core TFs, and downstream analyses including SE Active Core TFs Analysis, TF Enrichment Analysis, and Comprehensive Core TF Analysis.