ArticleMolecular biology of the cell2019
A method of quantifying centrosomes at the single-cell level in human normal and cancer tissue.
Article in Molecular biology of the cell, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 15 citations in OpenAlex.
- CenSegNet: a generalist high-throughput deep learning framework for centrosome phenotyping at spatial and single-cell resolution in heterogeneous tissues.Nature communications · 2026Article
- A GPER-PKA-Centrin axis regulates centrosome numbers and centriole integrity in colon cancer cells.Communications biology · 2025Article
- Tumour hypoxia in driving genomic instability and tumour evolution.Nature reviews. Cancer · 2025Review
- Single-cell proteo-genomic reveals a comprehensive map of centrosome-associated spliceosome components.iScience · 2023Article
- GPER1 links estrogens to centrosome amplification and chromosomal instability in human colon cells.Life science alliance · 2023Article
- High-confidence cancer patient stratification through multiomics investigation of DNA repair disorders.Cell death & disease · 2022Article
- GLUT3/SLC2A3 Is an Endogenous Marker of Hypoxia in Prostate Cancer Cell Lines and Patient-Derived Xenograft Tumors.Diagnostics (Basel, Switzerland) · 2022Article
- Patterns of selection against centrosome amplification in human cell lines.PLoS computational biology · 2021Article
- Centrosome amplification: a quantifiable cancer cell trait with prognostic value in solid malignancies.Cancer metastasis reviews · 2021Review
- A robust multiplex immunofluorescence and digital pathology workflow for the characterisation of the tumour immune microenvironment.Molecular oncology · 2020Article
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Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
Centrosome abnormalities are emerging hallmarks of cancer. The overproduction of centrosomes (known as centrosome amplification) has been reported in a variety of cancers and is currently being explored as a promising target for therapy. However, to understand different types of centrosome abnormalities and their impact on centrosome function during tumor progression, as well as to identify tumor subtypes that would respond to the targeting of a centrosome abnormality, a reliable method for accurately quantifying centrosomes in human tissue samples is needed. Here, we established a method of quantifying centrosomes at a single-cell level in different types of human tissue samples. We tested multiple anti-centriole and pericentriolar-material antibodies to identify bona fide centrosomes and multiplexed these with cell border markers to identify individual cells within the tissue. High-resolution microscopy was used to generate multiple Z-section images, allowing us to acquire whole cell volumes in which to scan for centrosomes. The normal cells within the tissue serve as internal positive controls. Our method provides a simple, accurate way to distinguish alterations in centrosome numbers at the level of single cells.
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Registered trials
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