117 Transcript-resolved mapping of the m6A RNA modification landscape in glioma using nanopore direct RNA sequencing

Clicks: 17
ID: 326735
2026
Free PDF
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Steady

Ranked #187 of 286 articles by views in journal of neuro-oncology

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 286 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
Abstract Introduction Glioblastoma (GBM) remains uniformly fatal despite multimodal therapy. While DNA methylation profiling has transformed brain tumour classification, post-transcriptional RNA modifications remain comparatively underexplored. N6-methyladenosine (m6A) is the most abundant internal RNA modification and regulates splicing, nuclear export, translation and RNA stability. As a dynamic and reversible mark, m6A may enable glioma cells to rapidly remodel transcriptional networks in response to microenvironmental and therapeutic stress. Methods We performed direct RNA sequencing using Oxford Nanopore Technologies to enable transcript-resolved detection of m6A within native RNA molecules. We analysed glioma-derived cell lines and primary tissue, including three low-grade IDH-mutant astrocytomas, three high-grade IDH-mutant astrocytomas, three glioblastomas and three representative normal brain samples. Modification-aware basecalling and transcript-level modelling were used to infer m6A status at DRACH consensus motifs. Differential methylation and isoform usage were analysed across tumour types and compared with normal brain. Results We generated transcriptome-wide m6A profiles from glioma tissues and cell lines, establishing reproducible modification signatures across samples. Comparative analysis identified candidate transcripts exhibiting altered m6A signal between tumour and normal brain. Differential modification patterns were observed across tumour types, alongside differences in isoform usage. Integration of modification calls with transcript structure highlights candidate genes in which m6A may contribute to transcript diversity in glioma. Conclusion Direct RNA long-read sequencing enables transcript-resolved profiling of the glioma m6A landscape. Our data demonstrate tumour-associated variation in RNA modification patterns and support further investigation into the relationship between m6A regulation, RNA metabolism and glioma biology.
Reference Key
openalex_W7204459164 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Simon Deacon, Lauryn Walker, Masar Radhi, Jonathan Rowlinson, Robert Goldspring, Simon Paine, Matthew Loose, Stuart Smith
Are you one of these authors? Claim your profile
Journal journal of neuro-oncology
Year 2026
DOI
10.1093/neuonc/noag172.036
URL
https://academic.oup.com/neuro-oncology/article-pdf/28/Supplement_1/noag172.036/70805791/noag172.036.pdf
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.