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lncRNASNP – a database of SNPs in lncRNAs and their potential functions

Long non-coding RNAs (lncRNAs) play key roles in various cellular contexts and diseases by diverse mechanisms. With the rapid growth of identified lncRNAs and disease-associated single nucleotide polymorphisms (SNPs), there is a great demand to study SNPs in lncRNAs. Aiming to provide a useful resource about lncRNA SNPs, researchers from the Huazhong University of Science and Technology systematically identified SNPs in lncRNAs and analyzed their potential impacts on lncRNA structure and function. In total, they identified 495,729 and 777,095 SNPs in more than 30,000 lncRNA transcripts in human and mouse, respectively. A large number of SNPs were predicted with the potential to impact on the miRNA-lncRNA interaction. The experimental evidence and conservation of miRNA-lncRNA interaction, as well as miRNA expressions from TCGA were also integrated to prioritize the miRNA-lncRNA interactions and SNPs on the binding sites. Furthermore, by mapping SNPs to GWAS results, they found that 142 human lncRNA SNPs are GWAS tagSNPs and 197,827 lncRNA SNPs are in the GWAS linkage disequilibrium regions. All these data for human and mouse lncRNAs were imported into lncRNASNP database, which includes two sub-databases lncRNASNP-human and lncRNASNP-mouse. The lncRNASNP database has a user-friendly interface for searching and browsing through the SNP, lncRNA and miRNA sections.


Availability – the lncRNASNP database is available at:

  • Gong J, Liu W, Zhang J, Miao X, Guo AY. (2015) lncRNASNP: a database of SNPs in lncRNAs and their potential functions in human and mouse. Nucleic Acids Res 43(Database issue):D181-6. [article]

Incoming search terms:

  • LncRnaAndDiseaseDatabase|lncRNABlog

ALDB – a domestic-animal long noncoding RNA database

The domestic-animal lncRNA database (ALDB) is the first comprehensive database with a focus on the domestic-animal lncRNAs. ALDB currently comprises 12,103 pig lincRNAs, 8,923 chicken lincRNAs, and 8,250 cow lincRNAs, which have been identified using computational pipeline in this study. Moreover, ALDB provides related useful data, such as genome-wide expression profile and animal quantitative trait loci (QTLs), that is not available in the existing lncRNA database (lncRNAdb and NONCODE), along with convenient tools, such as BLAST, GBrowse and flexible search functionalities.


  • Li, Aimin (2015): ALDB: a domestic-animal long noncoding RNA database. figshare.


Community Curated Database For LncRNA


A wiki-style database hopes to serve as an online encyclopedia of lncRNA by and for the scientific community.

Scientists have set up a long non-coding RNA (lncRNA) database aimed at harnessing the collective knowledge of the scientific community. This study has been published in Nucleic Acids Research.

LncRNAs are RNAs that do not code for proteins but are nonetheless actively transcribed in human genome. In recent years, it has been recognized that they perform significant roles in a large variety of biological processes. The dysregulation of lncRNA expression is highly correlated with human cancer, neurological disorders, and many other human diseases.

Incoming search terms:

  • lnc disease database
  • TCGA lncRNA

LncRNA2Target – a database for differentially expressed genes after lncRNA knockdown or overexpression

Long noncoding RNAs (lncRNAs) have been emerged as critical regulators of gene expression at epigenetic, transcriptional and post-transcriptional level, yet what genes are regulated by lncRNAs remains to be characterized. To assess the effects of a specific lncRNA on gene expression, increasing researchers profiled the genome-wide or individual gene expression level changes after knocking down or overexpressing the lncRNA. However, no online repository is currently available to collect these differentially expressed genes regulated by lncRNAs.

To make it convenient for researchers to know what genes are regulated by a lncRNA or which lncRNAs regulate a given gene of interest, researchers at the Harbin Institute of Technology have developed LncRNA2Target: a comprehensive resource of differentially expressed genes after lncRNA knockdown or overexpression.


In this database system, target genes of a lncRNA are defined as the differentially expressed genes after knocking down or overexpressing the lncRNA. By reviewing all published lncRNA papers, we manually curated the differentially expressed target genes confirmed by qRT-PCR or western blot, and identified all the differential target genes from the microarray or RNA-seq data.

Availability – the LncRNA2Target database is available at:

Incoming search terms:

  • how to overexpress lncRNA
  • lncrna knockdown

lnCeDB: Database of Human Long Noncoding RNA Acting as Competing Endogenous RNA


Long noncoding RNA (lncRNA) influences post-transcriptional regulation by interfering with the microRNA (miRNA) pathways, acting as competing endogenous RNA (ceRNA). These lncRNAs have miRNA responsive elements (MRE) in them, and control endogenous miRNAs available for binding with their target mRNAs, thus reducing the repression of these mRNAs.

lnCeDB provides a database of human lncRNAs (from GENCODE 19 version) that can potentially act as ceRNAs. The putative mRNA targets of human miRNAs and the targets mapped to AGO clipped regions are collected from TargetScan and StarBase respectively. The lncRNA targets of human miRNAs (up to GENCODE 11) are downloaded from miRCode database. miRNA targets on the rest of the GENCODE 19 lncRNAs are predicted by our algorithm for finding seed-matched target sites. These putative miRNA-lncRNA interactions are mapped to the Ago interacting regions within lncRNAs. To find out the likelihood of an lncRNA-mRNA pair for actually being ceRNA we take recourse to two methods. First, a ceRNA score is calculated from the ratio of the number of shared MREs between the pair with the total number of MREs of the individual candidate gene. Second, the P-value for each ceRNA pair is determined by hypergeometric test using the number of shared miRNAs between the ceRNA pair against the number of miRNAs interacting with the individual RNAs. Typically, in a pair of RNAs being targeted by common miRNA(s), there should be a correlation of expression so that the increase in level of one ceRNA results in the increased level of the other ceRNA. Near-equimolar concentration of the competing RNAs is associated with more profound ceRNA effect. In lnCeDB one can not only browse for lncRNA-mRNA pairs having common targeting miRNAs, but also compare the expression of the pair in 22 human tissues to estimate the chances of the pair for actually being ceRNAs.

Availability: Downloadable freely from

Das S, Ghosal S, Sen R, Chakrabarti J (2014) lnCeDB: Database of Human Long Noncoding RNA Acting as Competing Endogenous RNA. PLoS ONE 9(6): e98965. [article]