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Epitranscriptomic Array/Seq - m6A/m5C/m1A/ac4C/m7G/Ψ

In addition to m6A as the most studied prominent internal epitranscriptomic modification in mRNAs and lncRNAs, other epitranscriptomic modifications, such as m1A, m5C, ac4C, m7G, and Ψ, have been increasingly discovered to play novel biological or clinical roles. These RNA modifications can modulate mRNA translation, alternative splicing, nuclear export and stability; affect RNA secondary structures and protein-RNA interactions; and regulate DNA repair. They are also involved in diverse cancers, viral infections, and pathogen infection-induced myelopoiesis.

Arraystar offers both epitranscriptomic microarray and sequencing services for m6A/ m5C/m1A/ac4C/m7G/Ψ modifications. The comparison chart below can help you choose the most appropriate tool for your research purpose.

Epitranscriptomic Sequencing Epitranscriptomic Array
Total RNA amount
120 ug
5 ug
Research applications • Modification abundance for each peak.
• Not for %modification stoichiometry   (%modification).
•Site location resolution ~100 nt.
• Primarily for mRNAs.
• For any species
• Modification abundance for each transcript.
• %modification for each transcript.
• Specific for transcript isoforms.
• For modifications anywhere in whole transcripts;Known cataloged sites are annotated in dataset.
• Cover mRNAs, lncRNAs, and midsized ncRNAs simultaneously, or circular RNAs.
For human, mouse, or rat species
 
Performance
• Less sensitive for low level RNAs
• Higher noise and false positives.
• Lower quantification accuracy.
 		 • Sensitive even for low level RNAs.
• Higher quantification accuracy.
qPCR validation
Multiple MeRIP-qPCR amplicons to cover potential sites in a modification peak.
 		 Multiple MeRIP-qPCR amplicons to cover potential sites in a transcript.

 
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Selected Publications

• Circular RNA Array
   [PMID: 37004067] Zhong GL, et al.
   (2023) Molecular Cancer

• m6A Single Nucleotide Array
   [PMID: 36631441] Yan W, et al.
   (2023) International Journal of Oral
   Science

• tRNA PCR Array
   [PMID: 37283053] Wang C, et al.
   (2023) Nucleic Acids Research

• LC-MS Based tRNA Modification
   [PMID: 37563288] Li G, et al.
   (2023) Nature Microbiology


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