lncbase

is a Data Source.

DIANA-LncBase is a comprehensive repository of experimentally supported miRNA-lncRNA interactions. Version 3.0 contains ~500,000 entries corresponding to ~240,000 unique tissue and cell type specific miRNA-lncRNA pairs in human and mouse. Data derived from manual curation and analysis of >300 high-throughput datasets including AGO-CLIP-Seq, microarrays, and low-yield experiments across 192 cell types and 51 tissues. Includes lncRNA expression profiles and subcellular localization data.

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genomics, biological systems

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lncbase

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Product Summary

Products

From this Resource
ID Name URL Category Format Description
lncbase.portal DIANA-LncBase Portal LncBase GraphicalInterface http Main web portal for searching experim...
lncbase.correlation-viz LncBase Correlation Visualizations LncBase Product http Interactive correlation plots showing...
lncbase.expression-viz LncBase Expression Visualizations LncBase Product http Interactive bar plots showing lncRNA ...
lncbase.ucsc-browser LncBase UCSC Browser Integration LncBase Product http UCSC Genome Browser integration for v...
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ID Name URL Category Format Description
rnacentral.portal RNAcentral Portal rnacentral.org GraphicalInterface http Web portal for searching and browsing...
rnacentral.api RNAcentral REST API api ProgrammingInterface http REST API for programmatic access to R...
rnacentral.ftp RNAcentral FTP Archive RNAcentral Product http FTP archive with current and archived...
rnacentral.public-db RNAcentral Public Postgres Database public-database DataModelProduct postgres Public PostgreSQL database for direct...

Details

DIANA-LncBase

Overview

DIANA-LncBase is a reference repository cataloging experimentally supported miRNA-lncRNA interactions. The database serves researchers investigating the complex interplay between microRNAs and long non-coding RNAs, which plays crucial roles in post-transcriptional gene regulation, competing endogenous RNA (ceRNA) networks, and various physiological and pathological processes.

Database Content

Interaction Data (v3.0)

  • ~500,000 total entries
  • ~240,000 unique miRNA-lncRNA pairs (tissue and cell type specific)
  • Species: Human and mouse
  • 1,551 miRNAs targeting lncRNAs
  • 24,618 targeted lncRNAs
  • 192 cell types and 51 tissues
  • 162 experimental conditions

Experimental Support

  • 14 experimental methodologies:
    • Low-yield: Reporter genes, northern blot, qPCR, RIP-qPCR, biotin miRNA tagging (242 interactions)
    • High-throughput: ~239,000 interactions from:
      • AGO-CLIP-Seq: 236 libraries analyzed with microCLIP algorithm (~370,000 binding events)
      • CLEAR-CLIP & chimeric fragments: 2,924 miRNA-lncRNA chimeras
      • Microarray perturbation: 86 experiments analyzed (2,155 interactions)

Data Sources

  • Manual curation: 159 publications with 730+ interactions
  • High-throughput analysis: >300 datasets from GEO, ENCODE, DDBJ
  • 236 AGO-CLIP-Seq libraries (88 PAR-CLIP, 148 HITS-CLIP) analyzed with microCLIP framework

Key Features

lncRNA Sequences

  • 53,250 lncRNA transcripts: GENCODE v30, RefSeq 109-106, Cabili et al.
  • 27,009 pseudogene transcripts
  • Categories: sense, antisense, lincRNAs, processed transcripts, bidirectional promoter lncRNAs, 3’ overlapping ncRNAs, macro lncRNA

Expression Profiles

  • 103 RNA-Seq libraries analyzed (~19.3 billion reads)
  • 48 whole transcriptome datasets (22 cell types/tissues)
  • 55 subcellular localization datasets (15 cell types/tissues)
  • Nucleus vs. cytoplasm expression with Relative Concentration Index (RCI)
  • TPM (Transcripts Per Million) values for abundance quantification

Variant Annotation

  • 67,966 MREs with known short variant information
  • 9,940 lncRNA transcripts with variant-related MREs
  • 34,438 unique variants from:
    • dbSNP (48.6% of variant-MRE pairs)
    • COSMIC (47.5% - somatic mutations)
    • ClinVar (3.9% - clinical variants)

Advanced Analysis

  • microCLIP algorithm: CLIP-Seq-guided framework using 131 descriptors including:
    • AGO-CLIP features (substitution ratios, coverage metrics)
    • Binding characteristics (binding type, flanking AU content)
    • Energy-related metrics and sequence-based characteristics
  • ~90,000 intronic miRNA binding events appropriately labeled
  • 2,220 viral miRNA binding events (EBV, KSHV) on host lncRNAs

Database Interface

Query Capabilities

  • Search by miRNA/gene names or identifiers (ENSEMBL, miRBase, RefSeq, Cabili)
  • Genomic location search for MREs on lncRNA transcripts
  • Filtering by:
    • Species, cell types, tissues
    • Experimental methodologies
    • Transcript biotype
    • miRNA confidence level (from miRBase)
    • Short variant information

Interactive Visualizations

  • Correlation plots: Explore clustering of miRNA-lncRNA interactions across cell types/tissues (Pearson’s r coefficient)
  • Expression bar plots: View lncRNA abundance in different cell types and subcellular compartments
  • UCSC Genome Browser integration: Visualize miRNA binding events and MRE-overlapping variant locations

Inter-connections

  • RNAcentral: Integrated since 2015, interactions viewable per miRNA
  • DIANA-TarBase: ~1 million experimentally supported miRNA-mRNA pairs
  • DIANA-microT-CDS: In silico predicted miRNA targets
  • DIANA-miRPath: miRNA functional analysis

Methodological Advances (v3.0 vs. v2.0)

  • 2-fold increase in high-throughput datasets (322 vs. 153)
  • First database using microCLIP CLIP-Seq-guided algorithm for AGO-CLIP-Seq analysis
  • subcellular localization data in nucleus/cytoplasm
  • Short variant annotation on miRNA target sites
  • Enhanced interface with advanced filtering and interactive visualizations

Research Applications

  • Study of miRNA-lncRNA regulatory networks
  • Investigation of lncRNA sponge functions in ceRNA networks
  • Analysis of tissue and cell type specific interactions
  • Understanding subcellular localization effects on lncRNA function
  • Variant analysis on miRNA-lncRNA binding sites

Website Updates

The database was completely redesigned using Angular v.8 frontend, Java Spring/.NET Core 2.2 backend, and PostgreSQL with optimized indices for fast query execution.

Funding

Supported by ELIXIR-GR Infrastructure [MIS-5002780], co-financed by Greece and the European Union (European Regional Development Fund).

Citation

Karagkouni D, Paraskevopoulou MD, Tastsoglou S, et al. DIANA-LncBase v3: indexing experimentally supported miRNA targets on non-coding transcripts. Nucleic Acids Research. 2020;48(D1):D101-D110. doi:10.1093/nar/gkz1036

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Created: September 09, 2025 | Last modified: November 13, 2025