Thus affect the competing RNA’s level. These RNAs have miRNA responsive elements, i.e., the miRNA binding sites in them, and act as miRNA sponges to control endogenous miRNAs available for binding with their target mRNAs, thus reducing the repression of these mRNAs. This phenomenon adds a significant new dimension to the miRNA mediated regulation of gene expression in cells. ceRNAs are important regulators in cell cycle control and tumor 
suppression, modulating selfregulation in hepatocellular carcinoma as well as in developmental stages. Circular RNAs have recently been shown to be involved in pathways of cancer and many other diseases. Due to the availability of huge lncRNA datasets from recent GENCODE versions, 13870 lncRNA genes in GENCODE 19, it has become imperative to uncover the potential functions of these transcripts. In the light of new findings on ceRNAs and lncRNA-miRNA interactions, we developed a database, lnCeDB, of human lncRNAs that can potentially act as ceRNAs. Recently, databases describing lncRNA-miRNA interactions, like miRCode, Diana-lncBase, lncRNomeand StarBase v2.0, have become available. But none of them documents miRNA interactions with lncRNAs annotated past GENCODE 17. We used lncRNA-mRNA interaction pairs from miRCode database of miRNA targets for lncRNAs in GENCODE 11, and for the newly enlisted lncRNAs in GENCODE 19, we predicted seed-matched miRNA targets using our algorithm. We mapped these putative miRNA-lncRNA interactions into the Agointeracting regions within lncRNAs, collected from a recent study. In lnCeDB, the users can also browse for miRNA targets on recently available GENCODE 19 lncRNAs not available from other databases. Moreover, the objective of lnCeDB is not just describing lncRNA-miRNA interactions, but providing researchers with a database of human lncRNAs that can potentially act as ceRNAs to protein coding genes. The chances of an lncRNAmRNA pair for actually being ceRNA depend not only on the fact that they are targeted by common miRNA, but also other factors like relative concentrations of individual component ceRNAs and the number of shared MREs. lnCeDB is built by taking into Coptisine-chloride consideration these varied and complex Salvianolic-acid-B features. A previously published database of ceRNAs, ceRDB, provides data of mRNAs that can putatively act as ceRNAs, but it does not have information about lncRNAs. It should also be noted that unlike the ceRDB database, that used putative miRNA-mRNA interactions predicted by TargetScan, we include mRNAmiRNA and miRNA-lncRNA interactions predicted from AGO CLIP-Seq data. The user can limit the target search within regions of AGO interaction, significantly reducing false-positive target. Another recently published database, StarBase v2.0 include ceRNA pairs predicted from available AGO PAR-CLIP datasets. However, the use of only the PAR-CLIP data for prediction of ceRNA pairs limits the result set to only a few cell lines where the AGO PAR-CLIP was performed. As mentioned earlier, our dataset includes, but is not limited to predictions from just the AGO CLIP-SEQ data. This gives the user a broader set of probable ceRNA pairs in many human tissues, and also the option to narrow down the search to only the AGO interacting regions as available from AGO CLIP-SEQ data. As mentioned earlier, the chances of an lncRNA-mRNA pair actually being ceRNA depend not just on the fact that they are targeted by common miRNA.