lncHUB2: aggregated and inferred knowledge about human and mouse lncRNAs

Area of Science:

• Genomics
• Bioinformatics
• Molecular Biology

Background:

• Long non-coding RNAs (lncRNAs) represent a significant portion of the non-coding genome, yet their functions and regulatory mechanisms remain largely unexplored.
• Existing knowledge gaps hinder comprehensive understanding of lncRNA roles in biological processes and disease.

Purpose of the Study:

• To introduce lncHUB2, a comprehensive web server database designed to consolidate and present information on human and mouse lncRNAs.
• To facilitate hypothesis generation and research into lncRNA function, regulation, and associations.

Main Methods:

• Development of a web server database (lncHUB2) integrating known and inferred data for 18,705 human and 11,274 mouse lncRNAs.
• Generation of detailed reports for each lncRNA, including structural, functional, regulatory, and disease-related information.

Main Results:

• lncHUB2 provides comprehensive reports encompassing secondary structure, correlated genes, biological pathways, transcription factor regulators, and disease associations.
• The database also includes subcellular localization, expression patterns, and predicted small molecules or CRISPR-KO genes for modulating lncRNA expression.

Conclusions:

• lncHUB2 serves as a valuable, information-rich resource for the scientific community studying human and mouse lncRNAs.
• The database is poised to significantly aid in generating novel hypotheses and advancing research in the field of lncRNA biology.