lncExplore: a database of pan-cancer analysis and systematic functional annotation for lncRNAs from RNA sequencing data

In lncExplore you can browse or search:

  1. Novel lncRNAs predicted from TCGA RNA sequencing datasets

  2. lncRNAs basic genome annotation: sequence, coding potential, gene ontology and in silico predicted targeted coding gene

  3. Potential regulatory roles of lncRNAs: enhancer RNAs and ceRNAs (miRNA binding sites in lncRNAs)
  4. Significantly aberrant expression of lncRNAs based on pan-cancer analysis across 24 human cancers

  5. lncRNAs-disease association: disease specificity score and clinical survival analysis

lncExplore database provides the following functional modules:

  1. "Search" module provide lncRNAs hunter platform to simplify the complex query process and to help user more easily finding the interested lncRNAs. Users could get the basic information for lncRNAs such as sequence, coding potential, Gene Ontology, and potential cis regulatory target gene.

  2. "Expression" module summarizes the calculated FPKM results of 26,997 lncRNAs across 24 human cancers. We present expression profile of lncRNA by graphs based on TCGA RNA-seq datasets. It also provides a comparison platform to visualize the change of expression patterns between the user-defined coding transcripts and lncRNAs.

  3. "Disease specificity" module provides an important clue for screening the potential disease-specific biomarkers from a diverse collection of 24 human cancers. User can set different cut-off thresholds and chromosome region to screen for the tissue-specific or ubiquitously expressed lncRNAs.

  4. "Clinical Analysis" module provides information for selecting of potential biomarkers and therapeutic targets in human cancers by the survival curve analysis. For each lncRNA, the survival curve analysis is calculated by integrating the clinical information and lncRNAs expression value.

  5. "Enhancer RNAs" module provides a list of genome-wide identified eRNAs based on the genomic information of the enhancer regions from VISTA database and ENSEMBL. Therefore, by setting genomics regions in the search box of query pages, a user can access eRNAs located in this specified region.

  6. "ceRNA network" module contains the information for interactions between our unique lncRNAs and known miRNAs. These competing endogenous pairs or regulatory network are predicated by TargetScan.

Brief Introduction