LnCeCell

LnCeCell maps cellular-specific long non-coding RNA (lncRNA)-associated competing endogenous RNA (ceRNA) networks at single-cell resolution to characterize gene regulatory mechanisms in the tumor microenvironment.

Key Features:

• Single-Cell Resolution: Provides ceRNA networks specific to individual cells to capture cellular heterogeneity.
• Extensive Data Coverage: Curates data from over 94,000 cells across 25 types of cancers.
• Experimentally Supported Biomarkers: Contains more than 9,000 experimentally validated lncRNA biomarkers associated with metastasis, recurrence, prognosis, circulation, and drug resistance.
• Sub-Cellular Localization Maps: Supplies global maps of ceRNA sub-cellular locations for each cell type curated from literature and related data sources.
• Functional State Atlas: Portrays a functional state atlas for individual cancer cells to represent dynamic regulatory states.
• Flexible Analytical Tools: Includes analytical tools to infer ceRNA functions based on specific cellular backgrounds.

Scientific Applications:

• Single-Cell Gene Regulatory Analysis: Enables investigation of gene regulatory networks at single-cell resolution.
• Cancer and Tumor Microenvironment Research: Supports studies of cellular behaviors and regulatory mechanisms within the tumor microenvironment and development of precision medicine approaches.
• Biomarker and Phenotype Association: Facilitates identification and analysis of lncRNA biomarkers linked to metastasis, recurrence, prognosis, circulation, drug resistance, and regulatory mechanisms in complex microbial ecosystems and individual phenotypes.

Methodology:

Curation follows the "One Cell, One World" theory and involves manual extraction of data from literature and related sources.