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Related Experiment Video

Updated: Jun 13, 2026

Exploring m6A and m5C Epitranscriptomes upon Viral Infection: an Example with HIV
14:40

Exploring m6A and m5C Epitranscriptomes upon Viral Infection: an Example with HIV

Published on: March 5, 2022

IDH1-Associated m6A Methylation Is Linked to Transcriptomic Heterogeneity in Glioma.

Syeda Maheen Batool1, Hanna Lee1, Koushik Muralidharan1

  • 1Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA.

Cancers
|June 12, 2026
PubMed
Summary

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This study reveals subtype-specific N6-methyladenosine (m6A) patterns in glioma, highlighting isoform diversity crucial for understanding tumor biology and potential therapeutic targets.

Area of Science:

  • Epigenetics
  • Cancer Biology
  • Transcriptomics

Background:

  • N6-methyladenosine (m6A) epigenetic modifications are vital for glioma biology.
  • Current short-read sequencing methods limit transcriptome-wide m6A mapping at isoform resolution in glioma subtypes.
  • Alternative splicing is prevalent in glioma, necessitating isoform-level m6A analysis.

Purpose of the Study:

  • To map the m6A epigenetic landscape at isoform resolution across specific glioma subtypes.
  • To investigate subtype-specific patterns of m6A modifications and their relationship with gene expression and isoform usage.
  • To explore the potential of isoform-level m6A analysis for identifying glioma biomarkers and therapeutic targets.

Main Methods:

  • Direct RNA nanopore sequencing and transcriptome-wide m6A analysis were performed on 14 glioma tumor tissues.
Keywords:
IDH1N6-methyladenosineepitranscriptomicsgliomaisoformsnanopore sequencing

Related Experiment Videos

Last Updated: Jun 13, 2026

Exploring m6A and m5C Epitranscriptomes upon Viral Infection: an Example with HIV
14:40

Exploring m6A and m5C Epitranscriptomes upon Viral Infection: an Example with HIV

Published on: March 5, 2022

  • Included were IDH1-mutant astrocytoma, oligodendroglioma, and IDH1 wild-type glioblastoma subtypes.
  • m6A sites were computationally predicted using the m6Anet deep learning framework with high-confidence calls.
  • Main Results:

    • IDH1-mutant gliomas exhibited a higher burden of m6A modifications compared to IDH1 wild-type glioblastoma.
    • Subtype-specific m6A patterns were identified, often independent of gene-level expression changes, indicating a post-transcriptional regulatory layer.
    • Integration of gene expression, isoform usage, and m6A status revealed variations in isoform composition and transcript features between astrocytoma and glioblastoma.
    • Exploratory analyses suggested isoform-level associations with survival, not apparent at the gene level.

    Conclusions:

    • The study presents subtype-specific m6A marking and isoform architecture patterns in glioma, derived from direct RNA sequencing.
    • Findings suggest that m6A variation represents a post-transcriptional regulatory layer critical for glioma biology.
    • While requiring validation, the work provides a hypothesis-generating resource for investigating the glioma epitranscriptome.