OUR SOLUTIONS

RNAmethylQ™

Turn Your RNA-seq Data Into Actionable RNA Methylation Data—Simple, Cost-Effective, and Precise

PROBLEM

RNA methylation plays a key role in regulating gene expression and cellular functions, but identifying methylation sites in RNA requires expensive, specialized experiments and datasets that are often out of reach for many labs. These experiments typically require methylation-specific techniques, high-cost epitranscriptomic sequencing and complex bioinformatics analyses, limiting the ability to study RNA modifications on a broad scale. Without these tools, researchers struggle to gain insights into how RNA methylation affects gene regulation, alternative splicing, and transcript stability—even when gene expression levels remain unchanged.

OUR SOLUTION

Our tool allows you to identify RNA methylation sites in differentially expressed RNAs or RNAs with protein-level discrepancies, even when no expression change is observed. By analyzing the top differentially expressed transcripts or those with varying protein levels or those potentially harbor alternative isoforms, the tool provides precise methylation sites and insights into how modulating these sites might be therapeutically significant. Additionally, it offers tissue-specific RNA methylation analysis for your transcripts, enabling you to see whether your RNAs of interest show tissue-specific methylation patterns—where they may be highly methylated in some tissues while showing little to no methylation in others. This information can be crucial for understanding the role of RNA modifications in different tissue types and how these might be targeted for therapeutic intervention. By pinpointing these specific sites, the tool provides new opportunities to restore or decrease mRNA expression or noncoding RNA function, offering valuable insights for drug discovery or gene therapy.

Are you interested in any of the following?

  • Does RNA methylation regulate differentially expressed RNAs?
  • Can RNA methylation explain discrepancies between protein and mRNA levels?
  • Can RNA methylation drive alternative isoform expression?
  • Is the function of differentially expressed noncoding RNAs dependent on RNA methylation?

What we need from you?

  • Raw or processed RNA-seq dataset OR
  • Top 20 or more differentially expressed RNAs from your RNA-seq dataset OR
  • List or mRNAs or noncoding RNAs of your interest

What will we deliver?

  • Mapping of precise methylation sites in your RNAs
  • Methylation scores for your list of RNAs at all methylation sites
  • Tissue-specific RNA methylation information for your RNAs
  • Affordable experimental pathways for validating methylation sites in the lab