TANRIC

TANRIC analyzes long noncoding RNA (lncRNA) expression in cancer using large-scale RNA-seq datasets, including The Cancer Genome Atlas (TCGA), to characterize lncRNA functions and clinical associations across tumor types.

Key Features:

• Comprehensive Data Integration: Integrates lncRNA expression profiles from large patient cohorts encompassing 20 cancer types and over 8,000 samples derived from TCGA and independent datasets.
• Integration with Clinical and Molecular Data: Links lncRNA expression to clinical annotations and molecular data for association analyses.
• Support for Annotated and User-Defined lncRNAs: Enables analysis of both database-annotated and user-defined lncRNA loci in downstream analyses.
• Cross-Tumor Comparative Analysis: Enables comparative analysis of lncRNA expression within and across multiple cancer types.
• Drug Sensitivity Correlation: Correlates lncRNA expression with drug sensitivity profiles across different cell lines.

Scientific Applications:

• Biomedical Significance Identification: Identification of lncRNAs with potential biomedical importance based on expression correlations with therapeutic targets and biomarkers across tumor types.
• Biomarker and Target Association: Associating lncRNA expression patterns with established therapeutic targets and clinical biomarkers.
• Therapeutic Response Insights: Linking lncRNA expression to drug sensitivity across cell lines to inform potential therapeutic applications.

Methodology:

Leverages large-scale RNA-seq data (including TCGA and independent datasets; >8,000 samples, 20 cancer types) to quantify lncRNA expression, integrates expression data with clinical and molecular information, performs cross-tumor comparative analyses, and computes correlations between lncRNA expression and drug sensitivity profiles across cell lines.