biostudies-literatureLiu HNingbo Top Medical and Health Research ProgramProject of National Key Clinical SpecialtyNingbo Leading Medical&Health DisciplineNational Natural Science Foundation of ChinaD239-D246https://www.ebi.ac.uk/biostudies/studies/S-EPMC12807645biostudies-literatureUnknown54(D1)The rapid advancement of single-cell multi-omics technologies, typified by single-cell RNA sequencing (scRNA-seq), has provided systematic methodologies for dissecting gene expression heterogeneity within cell populations. However, long noncoding RNAs (lncRNAs) research is hindered by a lack of databases covering diverse tissues, disease contexts, and integrated multi-dimensional single-cell annotations. To address this gap, we updated NONCODE v7.0 (available at https://v7.noncode.org/) through the integration of scRNA-seq data, enabling systematic analysis of lncRNA expression. NONCODE v7.0 incorporates 2061 human scRNA-seq samples from 229 datasets, covering a spectrum of 6 categories, with 3 core ones including Physiological Control as an immune baseline, Physiological Development, and Nucleic acids researchNONCODE v7.0: updated lncRNA resource integrating scRNA-seq data encompassing immune baseline, development, and disease.PMC12807645924742042022-S0220230306152024017Liu HZheng JLiu JYang YFan YLe XGao KZeng XChen RZhao YfalseNONCODE v7.0: updated lncRNA resource integrating scRNA-seq data encompassing immune baseline, development, and disease.The rapid advancement of single-cell multi-omics technologies, typified by single-cell RNA sequencing (scRNA-seq), has provided systematic methodologies for dissecting gene expression heterogeneity within cell populations. However, long noncoding RNAs (lncRNAs) research is hindered by a lack of databases covering diverse tissues, disease contexts, and integrated multi-dimensional single-cell annotations. To address this gap, we updated NONCODE v7.0 (available at https://v7.noncode.org/) through the integration of scRNA-seq data, enabling systematic analysis of lncRNA expression. NONCODE v7.0 incorporates 2061 human scRNA-seq samples from 229 datasets, covering a spectrum of 6 categories, with 3 core ones including Physiological Control as an immune baseline, Physiological Development, and 2026-01-01T00:00:00Z2026 Jan2026-06-02T03:16:11.05Z2026-06-02T03:10:41.105ZS-EPMC128076454126173110.1093/nar/gkaf1132