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Updated: Apr 25, 2026

Nuclei Isolation from Fresh Frozen Brain Tumors for Single-Nucleus RNA-seq and ATAC-seq
Published on: August 25, 2020
Mapping glioblastoma's isoform diversity using long-read single-cell analysis
Wenshu Tang1, Cario W S Lo1, Annie T W Chu1
1Hong Kong Genome Institute, Hong Kong SAR, China.
This study uses single-cell long-read RNA sequencing to map glioblastoma (GBM) cell diversity at the isoform level. Researchers discovered novel tumor-specific RNA variants with potential as neoantigens for cancer immunotherapy.
Area of Science:
- Genomics
- Oncology
- Molecular Biology
Background:
- Glioblastoma (GBM) is an aggressive brain tumor characterized by significant intratumoral heterogeneity and dysregulated RNA splicing.
- Alternative splicing significantly impacts cellular identity, function, tumor progression, and treatment resistance in GBM.
- Existing short-read sequencing methods limit the comprehensive analysis of full-length RNA isoforms in GBM.
Purpose of the Study:
- To create an isoform-level atlas of glioblastoma using single-cell long-read RNA sequencing.
- To identify novel, tumor-specific RNA isoforms and potential therapeutic targets within glioblastoma.
- To explore the potential of newly discovered isoforms as neoantigens for cancer immunotherapy.
Main Methods:
- Application of single-cell long-read RNA sequencing to capture full-length transcripts in glioblastoma cells.
- Development of a framework to identify and prioritize tumor-restricted isoforms.
- Analysis of differential transcript usage across distinct glioblastoma cell populations.
- Prediction of peptide binding to MHC class I molecules for neoantigen identification.
Main Results:
- Hundreds of isoforms with differential transcript usage were identified across diverse glioblastoma cell populations.
- A framework successfully prioritized tumor-restricted isoforms, identifying potential surface-intracellular target pairs in seven patients.
- 6,524 novel isoforms were discovered, including 179 that are specific to glioblastoma.
- Peptides derived from tumor-specific isoforms demonstrated strong predicted binding to MHC class I molecules.
Conclusions:
- Single-cell long-read RNA sequencing provides unprecedented resolution for characterizing glioblastoma isoform complexity.
- The identified tumor-specific isoforms and target pairs offer potential avenues for developing novel dual-specific ligand-based therapies.
- Newly discovered tumor-specific isoforms represent a promising source of potential neoantigens for glioblastoma immunotherapy.
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