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Related Experiment Video

Updated: Nov 6, 2025

Exploring m6A and m5C Epitranscriptomes upon Viral Infection: an Example with HIV

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Published on: March 5, 2022

Funm6AViewer: a web server and R package for functional analysis of context-specific m6A RNA methylation.

Song-Yao Zhang¹, Shao-Wu Zhang¹, Yujiao Tang^2,3

¹Key Laboratory of Information Fusion Technology of Ministry of Education, Department of Intelligent Science and Technology, School of Automation, Northwestern Polytechnical University, Xı'an 710072, China.

Bioinformatics (Oxford, England)

|May 11, 2021

Summary

Funm6AViewer identifies and visualizes functional gene networks from N 6-methyladenosine (m6A) RNA methylation data. This tool aids in understanding the epitranscriptome and gene regulation by exploring dynamic m6A modifications.

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Area of Science:

* Molecular Biology
* Bioinformatics
* Genomics

Background:

* N 6-methyladenosine (m6A) is the most prevalent mRNA modification in mammals, playing diverse functional roles.
* Current bioinformatics tools primarily focus on m6A site discovery, leaving functional understanding limited.
* The field of RNA epigenetics is shifting towards functional studies, necessitating user-friendly tools for exploring m6A's functional relevance.

Purpose of the Study:

* To introduce Funm6AViewer, a novel platform for identifying, prioritizing, and visualizing functional gene interaction networks mediated by dynamic m6A RNA methylation.
* To provide a tool that integrates differential RNA methylation and gene expression data for comprehensive epitranscriptome analysis.
* To facilitate the understanding of gene expression regulation through the lens of condition-specific m6A modifications.

Main Methods:

* Inputting differential RNA methylation and gene expression data, typically derived from MeRIP-seq.
* Analyzing the distribution of differential m6A sites.
* Prioritizing genes affected by dynamic m6A methylation.
* Characterizing functional gene regulatory networks influenced by m6A.

Main Results:

* Funm6AViewer successfully identifies, prioritizes, and visualizes functional gene networks associated with dynamic m6A methylation.
* The platform enables detailed examination of m6A site distribution and its impact on gene expression.
* It effectively characterizes regulatory networks governed by condition-specific m6A methylation.

Conclusions:

* Funm6AViewer offers a powerful solution for exploring the functional implications of m6A RNA methylation.
* The tool enhances our understanding of the epitranscriptome circuitry and gene regulation.
* It serves as a valuable resource for researchers in RNA epigenetics and functional genomics.