LncRNAfunc 2.0: an evidence-integrated knowledgebase for regulatory and functional interpretation of lncRNAs in cancer
Year: 2026
Type: article
Abstract: Long non-coding RNAs (lncRNAs) play diverse regulatory roles in cancer, yet their functional interpretation remains largely based on molecular associations and computational predictions, while experimentally derived evidence is fragmented across heterogeneous resources. Here, we present lncRNAfunc 2.0, an updated knowledgebase for systematic functional interpretation of cancer lncRNAs through multi-source evidence integration. Compared with the previous version, lncRNAfunc 2.0 reprocesses pan-cancer data from The Cancer Genome Atlas, incorporates normal-tissue and cancer-cell-line contexts from GTEx and CCLE, substantially expands binding and interaction evidence, and introduces perturbation evidence for lncRNAs and their regulators. These resources are integrated with association-based analyses and computational predictions as complementary evidence for interpreting lncRNA-associated regulatory relationships. lncRNAfunc 2.0 organizes functional knowledge into six biological dimensions: dysregulation, upstream regulation, lncRNA-mediated mRNA regulation, transcript remodeling, protein regulation, and tumor phenotypes. This framework connects regulatory determinants of lncRNAs with their downstream molecular relationships and phenotypic associations, including mRNA regulation, alternative splicing, protein regulation, survival, molecular and immune phenotypes, and drug response. Overall, lncRNAfunc 2.0 provides an evidence-integrated framework for exploring context-dependent lncRNA functions and regulatory mechanisms across cancers. lncRNAfunc 2.0 is freely available at https://lncrnafunc.xu-bioinfo.com/.
Source: Nucleic Acids Research
DOI: 10.1093/nar/gkag1145
Language: English
Subfield: Cancer Research
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $3,992
Awards: Optimizing mRNA sequences with deep neural networks, Multiscale Resolution and Deep Network Approaches for Deconvolving Different Cell Types in Bulk Tumor using Single-cell Sequencing Data (scDEC), Developing mRNAdesigner tool package for optimization of mRNA sequence, Microbial-based platform for assessing organ damage in alcohol use disorders (AUD)
OpenAlex ID: W7225311610
