OSCR

Mapping glioblastoma's isoform diversity using long-read single-cell analysis.

Overview

Authors: Wenshu Tang1, Cario W S Lo1, Annie T W Chu1, Wing Lun Lee2, Dingyuan Wang2, Karrie Mei-Yee Kiang3, Lai-Fung Li4,5, Gilberto K K Leung4,5,6, Hong Kong Genome Project, Aya El Helali2,6,7, Brian H Y Chung1,8
ORCID iDs: Dingyuan Wang, Lai-Fung Li, Gilberto K K Leung, Aya El Helali, Brian H Y Chung
  1. Hong Kong Genome Institute, Hong Kong SAR, China
  2. Department of Clinical Oncology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
  3. Department of Surgery, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
  4. Division of Neurosurgery, Department of Surgery, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
  5. Department of Neurosurgery, Queen Mary Hospital, Hong Kong SAR, China
  6. Clinical Neuroscience Consortium, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
  7. Department of Clinical Oncology, Queen Mary Hospital, Hospital Authority, Hong Kong SAR, China
  8. Department of Paediatrics & Adolescent Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
Institutions: University of Hong Kong (Hong Kong SAR China); Queen Mary Hospital (China); Hospital Authority (Hong Kong SAR China)
Journal: Nature communications, volume 17, issue 1, article 5640
Dates: received 13 October 2025; accepted 13 April 2026; published online 23 April 2026
Type: Research article · Language: English
License: CC BY-NC-ND
Identifiers: DOI 10.1038/s41467-026-72258-2 · PMID 42026049 · PMCID PMC13315931 · OpenAlex W7155376835
Open access: gold, a free copy (OpenAlex)
Status: data only
Categories: human (organism), other condition (population), cellular / molecular (subfield)
Methods: Statistics, Smoothing, state filtering, decompositions, Machine learning, Connectivity
Keywords: Cancer genomics, Genetics research, CNS cancer
MeSH: Brain Neoplasms*, Glioblastoma*, Single-Cell Analysis*, Alternative Splicing, Cell Line, Tumor, Gene Expression Regulation, Neoplastic, Humans, Protein Isoforms, Sequence Analysis, RNA, Single-Cell Gene Expression Analysis (* major topic)
Topic: Single-cell and spatial transcriptomics (Molecular Biology, Biochemistry, Genetics and Molecular Biology), according to OpenAlex
Funding: Queen Mary University of London
Citations: cited by 1 paper (Europe PMC); 63 references in the paper

Abstract

The abstract is not reproduced here: the paper's license (CC BY-NC-ND) does not allow it. Read it in the paper, at the publisher or on Europe PMC.

Code

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Data

Datasets cited

Data availability statement

The paper has a data availability statement. Its license (CC BY-NC-ND) does not allow reproducing it here; in short, from what the harvester recognized in it:

Read it in the paper: doi.org/10.1038/s41467-026-72258-2.

Versions

The history of this record: each version stored by the harvester or made by a correction of its authors or of the maintainers of its code, and what changed in its facts. The texts of the paper (its abstract, its availability statements) are not part of it; versions that changed only those are not listed.

Version 1, 29 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 11 authors, 3 keywords, 10 MeSH terms, 1 funder, 63 references.

Cite

This paper

Tang, W., Lo, C. W. S., Chu, A. T. W., Lee, W. L., Wang, D., Kiang, K. M.-Y., Li, L.-F., Leung, G. K. K., Hong Kong Genome Project, El Helali, A., & Chung, B. H. Y. (2026). Mapping glioblastoma's isoform diversity using long-read single-cell analysis. Nature communications, 17(1), 5640. https://doi.org/10.1038/s41467-026-72258-2

BibTeX

@article{tang2026mapping,
author = {Tang, Wenshu and Lo, Cario W S and Chu, Annie T W and Lee, Wing Lun and Wang, Dingyuan and Kiang, Karrie Mei-Yee and Li, Lai-Fung and Leung, Gilberto K K and {Hong Kong Genome Project} and El Helali, Aya and Chung, Brian H Y},
title = {{Mapping glioblastoma's isoform diversity using long-read single-cell analysis}},
journal = {Nature communications},
year = {2026},
month = apr,
volume = {17},
number = {1},
pages = {5640},
publisher = {Nature Publishing Group},
issn = {2041-1723},
doi = {10.1038/s41467-026-72258-2},
url = {https://doi.org/10.1038/s41467-026-72258-2},
pmid = {42026049},
pmcid = {PMC13315931}
}

RIS

TY - JOUR
AU - Tang, Wenshu
AU - Lo, Cario W S
AU - Chu, Annie T W
AU - Lee, Wing Lun
AU - Wang, Dingyuan
AU - Kiang, Karrie Mei-Yee
AU - Li, Lai-Fung
AU - Leung, Gilberto K K
AU - Hong Kong Genome Project
AU - El Helali, Aya
AU - Chung, Brian H Y
TI - Mapping glioblastoma's isoform diversity using long-read single-cell analysis
T2 - Nature communications
J2 - Nat Commun
PY - 2026
DA - 2026/04/23
VL - 17
IS - 1
SP - 5640
SN - 2041-1723
PB - Nature Publishing Group
DO - 10.1038/s41467-026-72258-2
UR - https://doi.org/10.1038/s41467-026-72258-2
LA - en
ER -

CSL-JSON

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