SCancerRNA: Expression at the Single-cell Level and Interaction Resource of Non-coding RNA Biomarkers for Cancers.

Area of Science:

• Oncology
• Genomics
• Bioinformatics

Background:

• Non-coding RNAs (ncRNAs) are crucial in cancer, acting as tumor suppressors or oncogenes.
• ncRNAs' stability in bodily fluids makes them promising biomarkers for early cancer detection.
• Understanding cell-specific gene expression is vital due to tumor heterogeneity.

Purpose of the Study:

• To create a comprehensive online resource for ncRNA biomarkers in cancer.
• To provide single-cell level expression data for various ncRNA types.
• To link biomarkers with their functions and clinical applications.

Main Methods:

• Compiled experimentally supported data on long ncRNAs, microRNAs, PIWI-interacting RNAs, small nucleolar RNAs, and circular RNAs.
• Focused on differential expression analysis at the single-cell level.
• Integrated information on biological functions and clinical relevance.

Main Results:

• Developed the SCancerRNA database, a centralized resource for ncRNA biomarker data.
• Included data on expression patterns across different cell types in cancers.
• Summarized clinical applications for diagnosis, progression monitoring, and targeted therapies.

Conclusions:

• SCancerRNA facilitates the use of ncRNA biomarkers for cancer management.
• The database supports research into ncRNA interactions and computational modeling.
• Provides a valuable tool for advancing cancer diagnostics and therapeutics.