{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Liu H"],"funding":["Ningbo Top Medical and Health Research Program","Project of National Key Clinical Specialty","Ningbo Leading Medical&Health Discipline","National Natural Science Foundation of China"],"pagination":["D239-D246"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12807645"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["54(D1)"],"pubmed_abstract":["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 "],"journal":["Nucleic acids research"],"pubmed_title":["NONCODE v7.0: updated lncRNA resource integrating scRNA-seq data encompassing immune baseline, development, and disease."],"pmcid":["PMC12807645"],"funding_grant_id":["92474204","2022-S02","2023030615","2024017"],"pubmed_authors":["Liu H","Zheng J","Liu J","Yang Y","Fan Y","Le X","Gao K","Zeng X","Chen R","Zhao Y"],"additional_accession":[]},"is_claimable":false,"name":"NONCODE v7.0: updated lncRNA resource integrating scRNA-seq data encompassing immune baseline, development, and disease.","description":"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 ","dates":{"release":"2026-01-01T00:00:00Z","publication":"2026 Jan","modification":"2026-06-02T03:16:11.05Z","creation":"2026-06-02T03:10:41.105Z"},"accession":"S-EPMC12807645","cross_references":{"pubmed":["41261731"],"doi":["10.1093/nar/gkaf1132"]}}