Modomics - A Database of RNA Modifications

Data Annotation

This section serves to elucidate how the proposed annotation system works. Below, tables explaining the scores used estimate the level of experimental reliability and evidence

Level of Experimental Evidence

Level Description Explanation
1 Multiple Direct Experimental Evidence Identified and characterized experimentally by one direct method
2 Direct Experimental Evidence Identified and characterized experimentally by one direct method
3 Inferred Based on indirect experimental evidence Inferred from experimental data based on indirect method, e.g., mutation patterns in cDNA sequencing
4 Predicted Computationally e.g., predicted from sequence, without experimental data
5 Unknown Experimental evidence not yet annotated
6 Irrelevant Experimental Evidence cannot be estimated for a given data type

Annotation of estimated reliability

Level Description Explanation
1 Rock Solid It would be surprising to see it proven wrong
2 Solid Large errors are unlikely, but cannot be completely excluded, minor errors should not undermine the meaning of the data
3 Speculative More likely to be correct than incorrect, major errors may happen and minor errors are quite likely
4 Questionable e.g., different results in publications and/or database entries
5 Unknown Reliability assessment has not yet been performed
6 Irrelevant Reliability cannot be estimated for a given data type

Examples of direct/indirect methods used to detect and map modified residues. Direct methods analyze the RNA directly and provide clear data of a presence of a specific ribonucleotide residue with a particular chemical structure (A, U, C, G or a specific modified residue) at a particular position of the RNA chain. Indirect methods either do not analyze the RNA directly (e.g., require reverse transcription to DNA, and then analyze these DNA products) and/or they do not detect the actual modifications but rather sense some secondary effects of their presence and require additional assumptions to be fulfilled and/or use computational prediction from the experimental data.

Method Name General/Specific Direct/Indirect Method Type Literature References
High-resolution X-ray crystallography General Direct Biophysical PUBMEDID: 31619810
High-resolution NMR General Direct Biophysical PUBMEDID: 30997719
High-resolution cryo-EM General Direct Biophysical PUBMEDID: 29143818
MS/MS General Direct Biophysical PUBMEDID: 1706062
RiboMethSeq Specific (2’'-O-Me) Indirect Chemical probing + sequencing PUBMEDID: 27302133
ICE-Seq Specific (I) Indirect Chemical treatment + sequencing PUBMEDID: 25855956
M1A-Seq Specific (m1A) Indirect Immunoprecipitation + sequencing PUBMEDID: 29072297
ARM-Seq; DM-tRNASeq Specific (m1A, m3C, m1G, m,2,2G) Indirect RNA de-modification + sequencing PUBMEDID: 26237225
meCLIP Specific (m6A) Indirect Immunoprecipitation + sequencing PUBMEDID: 33376190
AlkAnilineSeq Specific (m7G and m3C) Indirect Chemical probing + sequencing PUBMEDID: 30370969
JACUSA2 Specific (Q) Indirect Biophysical + sequencing PUBMEDID: 37811872
HydraPsiSeq Specific (Ψ) Indirect Chemical probing + sequencing PUBMEDID: 32976574
hmC-CATCH Specific (hm5C) Indirect Chemical treatment + sequencing PUBMEDID: 30278133
HAC-Seq Specific (m3C) Indirect Chemical treatment + sequencing PUBMEDID: 33313824
bisulfite RNA sequencing Specific (m5C) Indirect Chemical treatment + sequencing PUBMEDID: 19059995
m7G-MaP-seq Specific (m7G) Indirect Chemical treatment + sequencing PUBMEDID: 31504776
TRAC-seq Specific (m7G) Indirect Chemical treatment + sequencing PUBMEDID: 31619810