LncSpA
LncSpA maps spatial expression of long noncoding RNAs (lncRNAs) across human normal, adult cancer, and pediatric cancer tissues to provide a spatial expression atlas for analysis of tissue-elevated lncRNAs and their disease associations.
Key Features:
- Comprehensive dataset: Catalogs tissue-elevated (TE) lncRNAs across 38 normal tissues, 33 adult cancer types and pediatric cancers, reporting 71,131 TE lncRNAs in normal and adult cancer tissues, 12,007 TE lncRNAs in adult cancer alone, and 4,688 TE lncRNAs in pediatric cancers.
- Clinical relevance: Identifies 634 clinical-related TE lncRNAs across adult tissues and 413 clinical-related TE lncRNAs in pediatric cancers.
- Detailed information: Provides eight major types of data per lncRNA, including qualitative and quantitative spatial expression across resources; coexpressed mRNAs; predicted functions; known disease associations; and potential diagnostic or prognostic marker roles.
Scientific Applications:
- Tissue-specific characterization: Enables characterization of TE lncRNAs to define tissue-specific expression patterns and infer potential functions from spatial expression.
- Cancer biology and biomarker discovery: Supports identification of candidate diagnostic or prognostic lncRNA markers and analysis of clinical-related TE lncRNAs in adult and pediatric cancers.
- Therapeutic target prioritization: Facilitates prioritization of lncRNAs as potential therapeutic targets based on spatial expression and coexpression with mRNAs.
Methodology:
Derived from extensive analysis of normal and cancer tissues (adult and pediatric) and integrates qualitative and quantitative lncRNA spatial expression data to generate coexpression, predicted function, and disease-association annotations.
Topics
Details
- Tool Type:
- api, web application
- Added:
- 1/18/2021
- Last Updated:
- 2/17/2021
Operations
Publications
Lv D, Xu K, Jin X, Li J, Shi Y, Zhang M, Jin X, Li Y, Xu J, Li X. LncSpA: LncRNA Spatial Atlas of Expression across Normal and Cancer Tissues. Cancer Research. 2020;80(10):2067-2071. doi:10.1158/0008-5472.can-19-2687. PMID:32193291.