Glioblastoma stem cells show transcriptionally correlated spatial organization

Glioblastoma (GBM) is an aggressive brain cancer with a poor survival rate. Despite hundreds of clinical trials, there is no effective targeted therapy. Glioblastoma stem cells (GSCs) are an important GBM model system. In culture, these cells form spatial structures that share morphological aspects with their source tumors. We collected 17,000 phase-contrast images of 15 patient-derived GSC lines growing to confluence. We find that GSCs grow in characteristic multicellular patterns depending on their transcriptional state. Interpretable computer vision algorithms identified specific image features that predict transcriptional state across multiple cell confluency levels. This relationship will be useful in developing GSC screens where image features can be used to identify how GSC biology changes in response to perturbations simply by imaging cultured cells on plates.

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Publication Details

Journal
Communications Biology
Published
2026-01-23
DOI
https://doi.org/10.1038/s42003-026-09566-2
Primary Topic
Cell Image Analysis Techniques
Type
article
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article

Glioblastoma stem cells show transcriptionally correlated spatial organization

Fiona J. Coutinho, Owen Whitley, C.H. Arrowsmith, Nicole Park et al.
Communications Biology
Cell Image Analysis Techniques
article

Glioblastoma stem cells show transcriptionally correlated spatial organization

Fiona J. Coutinho, Owen Whitley, C.H. Arrowsmith, Nicole Park, Michelle Kushida, Panagiotis Prinos, Trevor J. Pugh, Patty Sachamitr, Shamini Ayyadhury, Gary D. Bader, Peter B. Dirks
article en

Abstract

Glioblastoma (GBM) is an aggressive brain cancer with a poor survival rate. Despite hundreds of clinical trials, there is no effective targeted therapy. Glioblastoma stem cells (GSCs) are an important GBM model system. In culture, these cells form spatial structures that share morphological aspects with their source tumors. We collected 17,000 phase-contrast images of 15 patient-derived GSC lines growing to confluence. We find that GSCs grow in characteristic multicellular patterns depending on their transcriptional state. Interpretable computer vision algorithms identified specific image features that predict transcriptional state across multiple cell confluency levels. This relationship will be useful in developing GSC screens where image features can be used to identify how GSC biology changes in response to perturbations simply by imaging cultured cells on plates.

Communications BiologyVol. 9(1)
Ontario Institute for Cancer Research (CA), University Health Network (CA), Toronto Public Health (CA), University of Toronto (CA), Lunenfeld-Tanenbaum Research Institute (CA), Hospital for Sick Children (CA), Princess Margaret Cancer Centre (CA), Structural Genomics Consortium (CA), SickKids Foundation (CA)
Openalex Percentile: Top 82%
Cell Image Analysis Techniques
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Glioblastoma stem cells show transcriptionally correlated spatial organization — Fiona J. Coutinho, Owen Whitley, et al. · Communications Biology (2026) | TGRS Research Map | TGRS