RHPCG

RHPCG provides integrated multi-omics analysis and regulatory-motif annotation of the Hippo signaling pathway to investigate its role in cancer.


Key Features:

  • Multi-Omics Analysis: Analyzes 21 core Hippo genes using genomic, epigenomic, and transcriptomic data from over 10,000 patients across 33 TCGA cancer types.
  • Regulatory Motif Database: Catalogs 11 regulatory motif types linking 180 microRNAs (miRNAs), 6,182 long non-coding RNAs (lncRNAs), 728 circular RNAs (circRNAs), and 335 protein-coding genes to core Hippo pathway genes.
  • Visualization Tools: Provides visualization of regulatory relationships within the Hippo signaling network to support interpretation of multi-omics and motif data.

Scientific Applications:

  • Molecular mechanism analysis: Enables investigation of Hippo pathway molecular mechanisms in cancer using integrated genomic, epigenomic, and transcriptomic evidence.
  • Biomarker and therapeutic target discovery: Facilitates identification of candidate biomarkers and therapeutic targets within the Hippo signaling network by combining motif annotations with expression and alteration data.
  • Cancer-specific dysregulation analysis: Supports analysis of pathway dysregulation across diverse cancers, including breast cancer and lung cancer, using TCGA cohort comparisons.

Methodology:

Integrated multi-omics data (genomic, epigenomic, transcriptomic) from TCGA across >10,000 patients and 33 cancer types and systematically cataloged regulatory motifs (miRNAs, lncRNAs, circRNAs, protein-coding genes) associated with 21 core Hippo genes.

Topics

Details

Added:
1/14/2020
Last Updated:
12/13/2020

Operations

Publications

Wang C, Yang F, Chen T, Dong Q, Zhao Z, Liu Y, Chen B, Liang H, Yang H, Gu Y. RHPCG: a database of the Regulation of the Hippo Pathway in Cancer Genome. Database. 2019;2019. doi:10.1093/database/baz135. PMID:31848596. PMCID:PMC6917511.

PMID: 31848596
PMCID: PMC6917511
Funding: - University Nursing Program for Young Scholars with Creative Talents in Heilongjiang: UNPYSCT-2017061 - Postdoctoral Scientific Research Developmental: LBH-Q16166 - National Natural Science Foundation of China: 31671187, 61673143