# N6-Methyl-2'-O-Methyladenosine Sequencing

> **NIH NIH R43** · ELECTRONIC BIOSCIENCES, INC. · 2020 · $400,000

## Abstract

Project Summary
During this Phase I IMAT SBIR program, Electronic BioSciences, Inc. (EBS), specialists in nanopore
platform/methodology developments and high-performance electronics integration, will demonstrate RNA
adenosine methylation sequencing by directly differentiating the 3 most abundant adenosine methylations: N6-
methyladenosine (m6A), N6,2’-O-dimethyladenosine (m6Am), and N1-methyladenosine (m1A). Current
sequencing methods cannot differentiate these three modifications because they are structurally similar, which
makes them difficult to differentiate via direct sequencing methods, and because the modification is lost during
sequencing-by-synthesis methods that require PCR or amplification. Hence, limitations in current sequencing
technology have prevented our ability to assess adenosine methylation as it relates to cancer physiology. By
laying the foundation for the development of a sequencing technology capable of direct adenosine methylation
detection/differentiation, as will be carried out during this program, we will be able to significantly improve our
understanding of how these RNA modification change/progress in cancer and take advantage of this knowledge
for new and improved clinical and diagnostic purposes.

## Key facts

- **NIH application ID:** 10009367
- **Project number:** 1R43CA243757-01A1
- **Recipient organization:** ELECTRONIC BIOSCIENCES, INC.
- **Principal Investigator:** Eric Ervin
- **Activity code:** R43 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $400,000
- **Award type:** 1
- **Project period:** 2020-05-15 → 2022-04-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10009367

## Citation

> US National Institutes of Health, RePORTER application 10009367, N6-Methyl-2'-O-Methyladenosine Sequencing (1R43CA243757-01A1). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/10009367. Licensed CC0.

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