Methylation across the central dogma in health and diseases: new therapeutic strategies
R Liu, E Zhao, H Yu, C Yuan, MN Abbas… - Signal Transduction and …, 2023 - nature.com
The proper transfer of genetic information from DNA to RNA to protein is essential for cell-
fate control, development, and health. Methylation of DNA, RNAs, histones, and non-histone …
fate control, development, and health. Methylation of DNA, RNAs, histones, and non-histone …
Big data and deep learning for RNA biology
H Hwang, H Jeon, N Yeo, D Baek - Experimental & Molecular Medicine, 2024 - nature.com
The exponential growth of big data in RNA biology (RB) has led to the development of deep
learning (DL) models that have driven crucial discoveries. As constantly evidenced by DL …
learning (DL) models that have driven crucial discoveries. As constantly evidenced by DL …
Exon-intron boundary inhibits m6A deposition, enabling m6A distribution hallmark, longer mRNA half-life and flexible protein coding
Z Luo, Q Ma, S Sun, N Li, H Wang, Z Ying… - Nature …, 2023 - nature.com
Regional bias of N 6-methyladenosine (m6A) mRNA modification avoiding splice site
region, calls for an open hypothesis whether exon-intron boundary could affect m6A …
region, calls for an open hypothesis whether exon-intron boundary could affect m6A …
Deciphering RNA splicing logic with interpretable machine learning
SE Liao, M Sudarshan… - Proceedings of the …, 2023 - National Acad Sciences
Machine learning methods, particularly neural networks trained on large datasets, are
transforming how scientists approach scientific discovery and experimental design …
transforming how scientists approach scientific discovery and experimental design …
Concepts and methods for transcriptome-wide prediction of chemical messenger RNA modifications with machine learning
The expanding field of epitranscriptomics might rival the epigenome in the diversity of
biological processes impacted. In recent years, the development of new high-throughput …
biological processes impacted. In recent years, the development of new high-throughput …
Interplay between m6A epitranscriptome and epigenome in cancer: current knowledge and therapeutic perspectives
Chromatin has an extremely flexible structure that allows the fine regulation of gene
expression. To orchestrate this process, small chemical modifications are dynamically …
expression. To orchestrate this process, small chemical modifications are dynamically …
PEA-m6A: an ensemble learning framework for accurately predicting N6-methyladenosine modifications in plants
Abstract N 6-methyladenosine (m6A), which is the mostly prevalent modification in
eukaryotic mRNAs, is involved in gene expression regulation and many RNA metabolism …
eukaryotic mRNAs, is involved in gene expression regulation and many RNA metabolism …
The m6A-methylome in major depression: A bioinformatic analysis of publicly available datasets
One of the most common RNA modifications found in the mammalian brain is N6-
methyladenosine (m6A) and this modification has been implicated in fine-tuning neuronal …
methyladenosine (m6A) and this modification has been implicated in fine-tuning neuronal …
RNA N6-adenine methylation dynamics impact Hyaloperonospora arabidopsidis resistance in Arabidopsis
In plants, epitranscriptomic mark N6-adenine methylation (m6A) is dynamically regulated in
response to environmental cues. However, little is known about m6A dynamics under biotic …
response to environmental cues. However, little is known about m6A dynamics under biotic …
Variable calling of m6A and associated features in databases: a guide for end-users
Abstract N6-methyladenosine (m A) is a widely-studied methylation to messenger RNAs,
which has been linked to diverse cellular processes and human diseases. Numerous …
which has been linked to diverse cellular processes and human diseases. Numerous …