Research graph
References from Recent advances in functional annotation and prediction of the epitranscriptome. Local targets link to admitted publications; unresolved targets remain external evidence.
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5' UTR m(6)A promotes cap-independent translation
10.1016/j.cell.2015.10.012 · 2015 · External reference
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HNRNPA2B1 Is a Mediator of m(6)A-Dependent Nuclear RNA Processing Events
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Posttranscriptional m(6)A Editing of HIV-1 mRNAs enhances viral gene expression
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Viral and cellular N(6)-methyladenosine and N(6),2'-O-dimethyladenosine epitranscriptomes in the KSHV life cycle
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Regulation of mRNA cap methylation
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Interactions between fission yeast mRNA capping enzymes and elongation factor Spt5
10.1074/jbc.m200015200 · 2002 · External reference
Recognition of cap structure in splicing in vitro of mRNA precursors
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5′-Terminal 7-methylguanosine in eukaryotic mRNA is required for translation
10.1038/255033a0 · 1975 · External reference
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10.1093/nar/gkaa692 · 2021 · External reference
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10.1186/s13059-020-02012-4 · 2020 · External reference
10.1093/nar/gkx934
10.1093/nar/gkx934 · External reference
10.1093/nar/gkx1080
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2015 · External reference
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10.3390/biom6040042 · 2016 · External reference
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10.1261/rna.036806.112 · External reference
Graphical workflow system for modification calling by machine learning of reverse transcription signatures
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10.3390/genes10010035 · External reference
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10.1186/gb4143 · 2013 · External reference
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10.1101/gad.586710 · External reference
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2015 · External reference
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10.1038/s41594-019-0218-x · External reference
Distinct 5-methylcytosine profiles in poly(A) RNA from mouse embryonic stem cells and brain
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10.1093/nar/gkw104 · External reference
WHISTLE: a high-accuracy map of the human N6-methyladenosine (m6A) epitranscriptome predicted using a machine learning approach
10.1093/nar/gkz074 · 2019 · External reference
Iterative feature representation algorithm to improve the predictive performance of N7-methylguanosine sites
2020 · External reference
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10.1093/bioinformatics/btaa178 · 2020 · External reference
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10.1093/bioinformatics/btaa155 · 2020 · External reference
PPUS: a web server to predict PUS-specific pseudouridine sites
10.1093/bioinformatics/btv366 · 2015 · External reference
m6AmPred: Identifying RNA N6, 2’-O-dimethyladenosine (m6Am) sites based on sequence-derived information
2021 · External reference
Prediction of RNA methylation status from gene expression data using classification and regression methods
2020 · External reference
PIANO: A web server for pseudouridine-Site (Psi) identification and functional annotation
10.3389/fgene.2020.00088 · 2020 · External reference
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10.1177/1176934320925752 · 2020 · External reference
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10.1109/access.2020.2991070 · 2020 · External reference
LITHOPHONE: Improving lncRNA methylation site prediction using an ensemble predictor
10.3389/fgene.2020.00545 · 2020 · External reference
m5UPred: A Web Server for the Prediction of RNA 5-Methyluridine Sites from Sequences
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10.1186/gb-2008-9-9-r137
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Transcriptome-wide mapping of N(6)-methyladenosine by m(6)A-seq based on immunocapturing and massively parallel sequencing
10.1038/nprot.2012.148 · 2013 · External reference
Modeling of RNA-seq fragment sequence bias reduces systematic errors in transcript abundance estimation
10.1038/nbt.3682 · 2016 · External reference
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10.1093/bioinformatics/btt171 · External reference
10.1093/bioinformatics/btw281
10.1093/bioinformatics/btw281 · External reference
REPIC: a database for exploring the N-6-methyladenosine methylome
2020 · External reference
Evaluation of different computational methods on 5-methylcytosine sites identification
2019 · External reference
10.1016/j.csbj.2020.06.010 · Admitted local publication
10.1016/j.ab.2015.08.021
10.1016/j.ab.2015.08.021 · External reference
DeepM6ASeq: prediction and characterization of m6A-containing sequences using deep learning
10.1186/s12859-018-2516-4 · 2018 · External reference
Global analysis of N6-methyladenosine functions and its disease association using deep learning and network-based methods
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10.3389/fgene.2020.00088 · 2020 · External reference
MeTDiff: A novel differential RNA Methylation Analysis for MeRIP-Seq Data
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DRME: Count-based differential RNA methylation analysis at small sample size scenario
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QNB: differential RNA methylation analysis for count-based small-sample sequencing data with a quad-negative binomial model
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Limits in the detection of m(6)A changes using MeRIP/m(6)A-seq
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m6AVar: a database of functional variants involved in m6A modification
10.1093/nar/gkx895 · 2018 · External reference
CVm6A: A Visualization and Exploration Database for m(6)As in Cell Lines
2019 · External reference
M6A2Target: a comprehensive database for targets of m6A writers, erasers and readers
2020 · External reference
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10.1093/nar/gkz479 · 2019 · External reference
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10.1016/j.cell.2017.11.031
10.1016/j.cell.2017.11.031 · External reference
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Genome-wide identification of m(6)A-associated single-nucleotide polymorphisms in Parkinson's disease
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2018 · External reference
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10.1109/tcbb.2021.3049366 · External reference
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10.1038/s41698-019-0085-2 · 2019 · External reference
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10.1038/ncomms3612 · External reference
Molecular characterization and clinical relevance of m(6)A regulators across 33 cancer types
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Gene signatures and prognostic values of m1A-related regulatory genes in hepatocellular carcinoma
10.1038/s41598-020-72178-1 · 2020 · External reference
Prognostic Value of an m6A RNA methylation regulator-based signature in patients with hepatocellular carcinoma
10.1155/2020/2053902 · 2020 · External reference
The prognostic values of m6A RNA methylation regulators in uveal melanoma
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The m6A methylation regulator-based signature for predicting the prognosis of prostate cancer
10.2217/fon-2020-0330 · 2020 · External reference
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10.1089/dna.2020.5624 · External reference
Construction and Validation of an m6A RNA methylation regulators-based prognostic signature for esophageal cancer
10.2147/cmar.s254870 · 2020 · External reference
Prognostic values of m6A RNA methylation regulators in differentiated Thyroid Carcinoma
10.7150/jca.41193 · 2020 · External reference
Identification of a m(6)A RNA methylation regulators-based signature for predicting the prognosis of clear cell renal carcinoma
10.1186/s12935-020-01238-3 · 2020 · External reference
10.1016/j.omto.2020.04.011
10.1016/j.omto.2020.04.011 · External reference
N6-Methylandenosine-Related lncRNAs are potential biomarkers for predicting the overall survival of lower-grade glioma patients
10.3389/fcell.2020.00642 · 2020 · External reference
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10.1038/ncomms12626 · External reference
10.1186/s13059-014-0550-8
10.1186/s13059-014-0550-8 · External reference
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10.1093/nar/gkx778 · External reference
10.1016/j.molcel.2017.10.002
10.1016/j.molcel.2017.10.002 · External reference
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10.1126/science.aay6018 · External reference
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10.1016/j.gpb.2018.12.007 · External reference
10.1038/s41586-018-0841-4
10.1038/s41586-018-0841-4 · External reference
m6A RNA methylation regulates the fate of endogenous retroviruses
10.1038/s41586-020-03135-1 · 2021 · External reference
10.1016/j.ymeth.2018.10.019
10.1016/j.ymeth.2018.10.019 · External reference
Deciphering nucleotide modification-induced structure and stability changes
2021 · External reference
RNA secondary structure dependence in METTL3-METTL14 mRNA methylation is modulated by the N-terminal domain of METTL3
10.1515/hsz-2020-0265 · 2020 · External reference
10.1093/nar/gkaa654
10.1093/nar/gkaa654 · External reference
10.1101/2020.05.28.121996
10.1101/2020.05.28.121996 · External reference
MetaTX: deciphering the distribution of mRNA-related features in the presence of isoform ambiguity, with applications in epitranscriptome analysis
2020 · External reference
10.1093/bioinformatics/btz900
10.1093/bioinformatics/btz900 · External reference
Quantitative profiling of N(6)-methyladenosine at single-base resolution in stem-differentiating xylem of Populus trichocarpa using Nanopore direct RNA sequencing
10.1186/s13059-020-02241-7 · 2021 · External reference
Direct RNA sequencing reveals m(6)A modifications on adenovirus RNA are necessary for efficient splicing
10.1038/s41467-020-19787-6 · 2020 · External reference
Nanopore direct RNA sequencing maps the complexity of Arabidopsis mRNA processing and m(6)A modification
10.7554/elife.49658 · 2020 · External reference
Decoding the epitranscriptional landscape from native RNA sequences
2020 · External reference
Direct RNA nanopore sequencing of full-length coronavirus genomes provides novel insights into structural variants and enables modification analysis
10.1101/gr.247064.118 · 2019 · External reference
Single-molecule sequencing detection of N6-methyladenine in microbial reference materials
10.1038/s41467-019-08289-9 · 2019 · External reference
Accurate detection of m(6)A RNA modifications in native RNA sequences
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