ceRNA-gene interaction database

Post-transcriptional crosstalk and communication between RNAs yield large regulatory competing endogenous RNA (ceRNA) networks via shared microRNAs. The ceRNA crosstalk represents a novel layer of gene regulation that controls both physiological and pathological processes such as development and complex diseases.

Breaking: Eight ceRNA related databses are summarized in this section.


3.4.1 ENCODE

Introduction: The ENCODE Portal, developed and maintained by the Data Coordination Center (ENCODE DCC), is the canonical source for all experimental metadata and data from ENCODE and associated projects. The ENCODE Portal contains raw and ground-level analysis data generated by participating mapping centers using a wide-range of assays (integrative analysis data are available at the SCREEN portal. The Portal also stores records of the materials and methods used to perform the assays and subsequent analysis.
ENCODE

Application: The ENCODE tutorial can be found at https://www.encodeproject.org/help/getting-started/.

Web server: ENCODE.


3.4.2 starBase

Introduction: starBase is an openly licensed and state-of-the-art platform to decode the cellular interaction networks among thousands of RNA binding proteins (RBPs) and various RNAs. We have identified millions of RBP-RNA and RNA-RNA interactions through analyzing thousands of CLIP-seq and various high-throughput sequencing data by developing new software and tools, and studied their functions and mechanisms in human diseases.

Database information
Type Number
Species 23
CLIP-seq data >700 datasets
Degradome-seq 100 datasets
RNA-RNA interactome >30 datasets
RNA-seq data >10,800 samples from 32 cancer types
miRNA-seq data >10,500 samples from 32 cancer types
Disease data >3,236,000 mutations from 366 disease types
miRNA-ncRNA(CLIP) >1,100,000 interactions
miRNA-mRNA(CLIP) >2,500,000 interactions
RBP-mRNA >1,208,900 interactions
RBP-ncRNA >117,000 interactions
RNA-RNA >1,530,000 interactions

Application: The starBase tutorial can be found at https://starbase.sysu.edu.cn/tutorial.php.

Web server: starBase. starBase


3.4.3 miRcode

Introduction: MiRcode provides “whole transcriptome” human microRNA target predictions based on the comprehensive GENCODE gene annotation, including >10,000 long non-coding RNA genes. Coding genes are also covered, including atypical regions such as 5’UTRs and CDS. MicroRNA family definitions and names are consistent with TargetScan. Site conservation is evaluated based on 46 vertebrates species. Data sources and stats is found on the data info page, and the FAQ answers many questions. Please cite the miRcode paper if this resource is useful in your research.

Database information
Type Number
Species 10
Total transcripts 179,905
Total genes 53,520
LncRNA genes 10,419
Coding genes 19,999
Pseudogenes 12,549

Web server: miRcode. miRcode


3.4.4 DIANA-LncBase

Introduction: DIANA-LncBase is a reference repository with experimentally supported miRNA targets on non-coding transcripts. It catalogues approximately ~500,000 entries, corresponding to ~240,000 unique tissue and cell-type specific miRNA-lncRNA interactions. The incorporated interactions are defined by 15 distinct low-/high-throughput methodologies, corresponding to 243 distinct cell types/tissues and 162 experimental conditions.

Database information
Type Number
miRNA-lncRNA entries 730
miRNA-lncRNA chimeric fragments 2924

Application: The DIANA-LncBase tutorial can be found at https://diana.e-ce.uth.gr/lncbasev3/help.

Web server: DIANA-LncBase. DIANA-LncBase


3.4.5 OmniPath

Introduction: OmniPath is a database of molecular biology prior knowledge. It combines data from over 100 resources and builds 5 integrated databases: signaling network (interactions), enzyme-PTM relationships, protein complexes, protein annotations (function, localization, tissue, disease, structure, etc), and intercellular communication roles (e.g. ligand, receptor; intercell).
OmniPath1

Database information
Type Number
Transcriptional regulation 8
RNA regulation 6
Ligand-receptor 6
Protein-protein interaction resources 44
Extracellular 14

Installation: 1.Start R (version “4.2”) and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("OmnipathR")

Or install R package from github:

require(devtools)
install_github('saezlab/OmnipathR')

2.Python client for the OmniPath web service:

pip install omnipath

Or install Python package from github. 3. A Cytoscape plug-in here.

Application: The OmniPath tutorial can be found at https://workflows.omnipathdb.org/. OmnipathR vignette can be found at http://bioconductor.org/packages/release/bioc/vignettes/OmnipathR/inst/doc/nichenet.html, http://bioconductor.org/packages/release/bioc/vignettes/OmnipathR/inst/doc/db_manager.html and http://bioconductor.org/packages/release/bioc/vignettes/OmnipathR/inst/doc/drug_targets.html.

Web server: OmniPath. OmniPath


3.4.6 ceRDB

Introduction: By examining the co-occurrence of miRNA response elements in the mRNAs on a genome-wide basis we predict competing endogenous RNA for specific mRNAs targeted by miRNAs.

Web server: ceRDB.


3.4.7 LncACTdb

Introduction: LncACTdb 3.0 is a comprehensive database of experimentally supported competing endogenous RNA (ceRNA) interactions and personalized networks contributing to precision medicine. LncACTdb is a continually updated database that is used specifically to store experimentally validated ceRNA interactions manually curated from different species and disease states. LncACTdb1 LncACTdb2

Application: The LncACTdb tutorial can be found at https://starbase.sysu.edu.cn/tutorial.php.

Web server: LncACTdb. LncACTdb


3.4.8 PceRBase

Introduction: Competing endogenous RNA (ceRNA) act as decoys for microRNA (miRNA) binding, thereby regulating the abundance of other RNA transcripts which share the same microRNA response elements (MREs). Plant ceRNA database (PceRBase) uses mRNA, long non-coding RNA and miRNA sequence information to predict potential ceRNA target-target pairs (with identical shared MREs) and ceRNA target-mimic pairs (with one perfect MRE match, and one imperfect MRE match).

PceRBase currently predicts 696,756 potential ceRNA target-target, and 167,608 ceRNA target-mimic pairs from 28 plant species. Particularly, 239,998 ceRNA target-target and 75,360 ceRNA target-mimic pairs were found in Arabidopsis thaliana. PceRBase

Application: The PceRBase tutorial can be found at http://bis.zju.edu.cn/pcernadb/document/index.jsp.

Web server: PceRBase. PceRBase1