Litcius/Paper detail

LncTarD 2.0: an updated comprehensive database for experimentally-supported functional lncRNA–target regulations in human diseases

Hongying Zhao, Xiangzhe Yin, Haotian Xu, Kailai Liu, Wangyang Liu, Lixia Wang, Lixia Wang, Caiyu Zhang, Lin Bo, Xicheng Lan, Shihua Lin, Ke Feng, Shangwei Ning, Yunpeng Zhang, Li Wang, Li Wang

2022Nucleic Acids Research75 citationsDOIOpen Access PDF

Abstract

An updated LncTarD 2.0 database provides a comprehensive resource on key lncRNA-target regulations, their influenced functions and lncRNA-mediated regulatory mechanisms in human diseases. LncTarD 2.0 is freely available at (http://bio-bigdata.hrbmu.edu.cn/LncTarD or https://lnctard.bio-database.com/). LncTarD 2.0 was updated with several new features, including (i) an increased number of disease-associated lncRNA entries, where the current release provides 8360 key lncRNA-target regulations, with 419 disease subtypes and 1355 lncRNAs; (ii) predicted 3312 out of 8360 lncRNA-target regulations as potential diagnostic or therapeutic biomarkers in circulating tumor cells (CTCs); (iii) addition of 536 new, experimentally supported lncRNA-target regulations that modulate properties of cancer stem cells; (iv) addition of an experimentally supported clinical application section of 2894 lncRNA-target regulations for potential clinical application. Importantly, LncTarD 2.0 provides RNA-seq/microarray and single-cell web tools for customizable analysis and visualization of lncRNA-target regulations in diseases. RNA-seq/microarray web tool was used to mining lncRNA-target regulations in both disease tissue samples and CTCs blood samples. The single-cell web tools provide single-cell lncRNA-target annotation from the perspectives of pan-cancer analysis and cancer-specific analysis at the single-cell level. LncTarD 2.0 will be a useful resource and mining tool for the investigation of the functions and mechanisms of lncRNA deregulation in human disease.

Topics & Concepts

BiologyDatabaseComputational biologyMicroarrayDiseaseAnnotationBioinformaticsComputer scienceGeneGene expressionGeneticsMedicineInternal medicineCancer-related molecular mechanisms researchRNA Research and SplicingMycobacterium research and diagnosis