MoRNiNG modification
About the MoRNiNG database
The MoRNiNG The MoRNiNG (Modification of RNAs in Natural rG4) database provides information on RNA modifications located within experimentally confirmed RNA G-quadruplex (rG4) structures or putative G-quadruplex-forming sequences (PQSs). These sequences are derived from mRNA, lncRNA, and miRNA (both pre-miRNA and mature-miRNA) across nine species: human, mouse, rhesus monkey, chimpanzee, pig, rat, zebrafish, HIV-1, and SV40. The database includes details on nine RNA modifications: m6A, m1A, m7G, m5C, m6Am, m5U, A-to-I, 2’-O-Me, and Ψ.

RNA G-quadruplex
RNA G-quadruplexes (rG4s) are non-canonical secondary structures formed by the stacking of two or more G-quartets— planar arrangements held together by Hoogsteen hydrogen bonds among four guanines. Specifically, putative G-quadruplex-forming sequences (PQSs) typically contain four G-tracts separated by three loops, a pattern that enables computational prediction. RNA modifications occurring within or near these PQSs have the potential to influence rG4 thermostability, interactions with rG4-binding proteins, and conformational dynamics. Given that many PQSs are nested within canonical stem-loop structures in the transcriptome, exploring the role of RNA modifications in regulating conformational dynamics is essential for understanding RNA function.


Framework
pipeline Construction

Data collection & processing
The MoRNING database integrates RNA modification sites from six sources, including GEO, RMbase, RMVar, MiREDiBase, m6A Atlas, and published datasets. Here we used seven software to identify PQSs in the longest transcripts, which include both mRNA and lncRNA, based on transcript biotypes from the Ensembl database (release 109) and miRNAs from miRBase (version 22). The software used includes pqsfinder (score > 1), QGRS (default parameter: score >= 17), G4hunter (-w 25 -s 1.2), G4RNA screener (cGcC >= 4.5, G4H >= 0.9, G4NN >= 0.5), RNAfold, and G4NN score > 0.5 & Quadparser-based (G >= 2N1-12)3G >= 2 sequence motif (G2L12 motif). Additionally, the database also features PQSs with experimental support from techniques including rG4-seq, ultra-low-input rG4-seq, and circular dichroism spectrum.
For each entry in the database, potential stem-loop structures are predicted using RNAfold, with the results displayed in dot-bracket notation. However, rG4/PQS lacking stem-loop structures will not show the dot-bracket illustration.
Furthermore, we collected 801 potential GI-Quadruplex-forming sequences (PIQS) on human transcripts for rG4 introduced by A-I editing, which can be obtained using the "ModType" option on the search page.

Functions
The MoRNING database offers three major functional modules: search, tool, and download. Users can search for rG4 structures featuring various RNA modification sites across different species, customized to their specific needs. Alternatively. Users can manually input genomic loci or intervals, and utilize our tool function to directly find predicted PQS on the tool page. For convenience, we offer 27 datasets from nine different species for users to download.

Manuals
Search-mainpage:
This function enables users to efficiently query PQS with modifications within a specific genome range for a given species.
peaks_analysis_manual
Search:
Users can use multiple filter tags to query PQS with modifications. The above four options are required.
peaks_analysis_manual
Genomic loci:
Users can provide the locus on the exon of a species to find all the intersected PQS.
site_analysis_manual
Genomic interval:
By providing the genomic intervals, users can identify the predicted PQSs.
peaks_analysis_manual

Detection of Modification
Category Method literature DOI
High Aza-IP Nat Biotechnol 10.1038/nbt.2566
RNA-BisSeq Nucleic Acids Res 10.1093/nar/gkn954
BS-seq-with-improved-protocol Nat Struct Mol Biol 10.1038/s41594-019-0218-x
DART-seq Nat Methods 10.1038/s41592-019-0570-0
DART-seq&Bullseye Mol Cell 10.1016/j.molcel.2021.12.038
CeU-Seq Nat Chem Biol 10.1038/nchembio.1836
Nm-REP-seq Sci China Life Sci 10.1007/s11427-022-2210-0
CIMS_miCLIP Nat Methods 10.1038/nmeth.3453
CITS_miCLIP Nat Methods 10.1038/nmeth.3453
m6ACE-seq Nat Commun 10.1038/s41467-019-13561-z
miCLIP Nat Methods 10.1038/nmeth.3453
m6A-REF-seq Sci Adv 10.1126/sciadv.aax0250
m6A-SAC-seq Nat Protoc 10.1038/s41596-022-00765-9
m6A-seq-with-improved-protocol Cell Rep 10.1016/j.celrep.2014.05.048
DM-Ψ-seq Nat Chem Biol 10.1038/s41589-019-0420-5
FICC-Seq Nucleic Acids Res 10.1093/nar/gkz658
m6A-CLIP/IP Genes Dev 10.1101/gad.269415.115
PA-m6A-Seq Methods Mol Biol 10.1007/978-1-0716-1374-0_8
m6A-Label-seq STAR Protoc 10.1016/j.xpro.2021.101096
GLORI Nat Biotechnol 10.1038/s41587-022-01487-9
PRAISE Nat Chem Biol 10.1038/s41589-023-01304-7
BACS Nat Methods 10.1038/s41592-024-02439-8
m1A-IP-seq Nat Methods 10.1038/s41592-019-0550-4
m1A-quant-seq Nat Methods 10.1038/s41592-019-0550-4
m1A-MAP Mol Cell 10.1016/j.molcel.2017.10.019
UBS-seq Nat Biotechnol 10.1038/s41587-023-02034-w
Nm-Mut-seq Cell Res 10.1038/s41422-023-00836-w
Nm-seq Nat Methods 10.1038/nmeth.4294
RBS-Seq Proc Natl Acad Sci U S A 10.1073/pnas.1817334116
RiboMeth-seq Methods Mol Biol 10.1007/978-1-4939-6807-7_13
m7G-miCLIP-Seq Cell Res 10.1038/s41422-019-0230-z
m7G-seq Mol Cell 10.1016/j.molcel.2019.03.036
MAZTER-seq Cell 10.1016/j.cell.2019.06.013
meCLIP RNA 10.1261/rna.078543.120
miCLIP&m6Aboost Nucleic Acids Res 10.1093/nar/gkab485
miCLIP2&m6Aboost Nucleic Acids Res 10.1093/nar/gkab485
RNA-Seq Nat Methods 10.1038/s41592-018-0017-z
Ψ-seq Cell 10.1016/j.cell.2014.08.028
Slic-seq Nucleic Acids Res 10.1093/nar/gkad604
Medium m1A-seq Nature 10.1038/nature16998
m5C-RIP-seq Methods Mol Biol 10.1007/978-1-4939-9045-0_24
m6A-Seal-seq Nat Chem Biol 10.1038/s41589-020-0525-x
m6A-seq Nature 10.1038/nature11112
miR-mmPCR-seq Genome Res 10.1101/gr.224386.117
BoRed-seq&m7G-RIP-seq Mol Cell 10.1016/j.molcel.2019.03.040
m6A-CLIP Nature 10.1038/nature21355
Low DARNED Bioinformatics 10.1093/bioinformatics/btq285
RADAR Nucleic Acids Res 10.1093/nar/gkt996
Modomics Nucleic Acids Res 10.1093/nar/gkab1083
ELIGOS Nucleic Acids Res 10.1093/nar/gkaa620
Prediction by CNN model Nucleic Acids Res 10.1093/nar/gkaa811
Protocol for analyzing RNA editing in mature miRNAs using deep sequencing data Methods Mol Biol 10.1007/978-1-4939-2291-8_14

Detection of rG4
Category Method literature DOI
Experiment rG4-seq Nat Methods 10.1038/nmeth.3965
Ultra-low-input rG4-seq Under Review at Nature Portfolio 10.21203/rs.3.rs-5687952/v1
circular dichroism spectrum NA NA
Prediction pqsfinder Bioinformatics 10.1093/bioinformatics/btx413
QGRS Hum Genomics 10.1186/1479-7364-8-8
G4Hunter Bioinformatics 10.1093/bioinformatics/btz087
G4RNA screener Biochimie 10.1016/j.biochi.2018.06.002
G4NNscore>0.5&G2L12motif Chem Commun (Camb) 10.1039/c8cc04635b

Citation
Yicen Zhou#, Shanxin Lyu#, Shiau Wei Liew#, Xi Mou, Ian Hoffecker, Jian Yan, Yu Li, Chun Kit Kwok*, Jilin Zhang*, MoRNiNG: A Database of RNA Modification Sites Associated with RNA Secondary Structure Dynamics, Genomics, Proteomics & Bioinformatics, 2025;, qzaf106,