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RNA Modification

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What Is RNA Modification?

RNA Modification Sequencing is designed to detect and map chemical modifications on RNA molecules, such as m6A (N6-methyladenosine), m5C (5-methylcytosine), and pseudouridine. At AUGenomics, we offer precise, high-resolution RNA modification sequencing services to help researchers explore epitranscriptomic regulation and its impact on gene expression, development, and disease.

Advantages of RNA Modification

01

Epitranscriptomic Insight: By profiling chemical modifications such as m6A, m5C, or pseudouridine, RNA modification sequencing reveals regulatory layers that conventional RNA-seq cannot capture, offering deeper understanding of RNA stability, translation, and cellular response.

02

Functional Resolution: Mapping modifications at transcript or nucleotide level helps identify how epigenetic RNA changes influence gene expression, splicing, stress responses, and disease mechanisms, giving researchers a more complete picture of RNA biology.

03

Sensitive Detection Across Conditions: Optimized library preparation and enrichment strategies enable sensitive detection of modified bases across diverse sample types, including low-input or challenging RNA, making it possible to compare modification patterns across tissues, treatments, or developmental stages.

04

Broad Research Applications: RNA modification analysis supports studies in oncology, neurobiology, immunology, virology, and developmental biology, enabling biomarker discovery, therapeutic target identification, and mechanistic insights into diseases driven by post-transcriptional regulation.

Abstract Linear Background

RNA Modification Sequencing is used to:

  • Identify and quantify RNA modifications like m6A, m5C, and Ψ

  • Study post-transcriptional gene regulation and RNA stability

  • Explore the role of modifications in stem cell development and differentiation

  • Investigate epitranscriptomic changes in cancer, neurological, and metabolic diseases

  • Analyze modification patterns in response to drugs or environmental stimuli

  • Support discovery of novel therapeutic targets and disease biomarkers

 

Our workflows support multiple modification-detection techniques, including antibody-based enrichment and chemical labeling, depending on your scientific goals.

What is RNA Modification Used For?

RNA Modification with AUGenomics

Sample Submission

  • Accepted Sample Types: Total RNA or poly-A selected RNA from cells, tissues, or biofluids

  • Input Requirement: ≥100 ng total RNA (protocol-dependent)

  • Sequencing Recommendations:

    • Choice of enrichment (e.g., MeRIP/m6A-IP) or chemical modification detection

    • 30–50 million reads/sample typical

    • Paired-end or single-end sequencing depending on library type

 

Please refer to our Shipping Guidelines for project-specific guidance.

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Turnaround Time

Typical turnaround is 10-14 business days from sample receipt. Expedited options are available depending on project scope and sequencing depth.

​Frequently Asked Questions (FAQs)

Q: What types of RNA modifications can you detect?

A: We offer workflows for m6A, m5C, pseudouridine (Ψ), and others. Let us know your research focus and we’ll tailor the method accordingly.

Q: Do I need high-quality RNA for RNA modification sequencing?

A: Yes. RNA integrity is important, especially for antibody-based enrichment methods. Contact us if you’re working with FFPE or degraded samples—we may still be able to help.

Q: Do you provide modification mapping as part of the analysis?

A: Yes. Our bioinformatics pipeline includes peak calling, distribution mapping, and cross-sample comparisons for modified regions.

 

Got more questions? Contact our team and get a free consultation anytime. info@augenomics.com

​Glossary of Terms

  • m6A / m5C / Ψ: Common RNA modifications with roles in transcript stability, splicing, and translation

  • Epitranscriptome: The layer of chemical modifications on RNA molecules that influence gene expression

  • MeRIP-seq (m6A-seq): Methylated RNA immunoprecipitation sequencing

  • Peak Calling: Computational process for identifying regions enriched in RNA modifications

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