A deep single cell mass cytometry approach to capture canonical and noncanonical cell cycle states

The cell cycle (CC) underpins diverse cell processes like cell differentiation, cell expansion, and tumorigenesis but current single-cell (sc) strategies study CC as: coarse phases, rely on transcriptomic signatures, use imaging modalities limited to adherent cells, or lack high-throughput multiplexing. To solve this, we develop an expanded, Mass Cytometry (MC) approach with 48 CC-related molecules that deeply phenotypes the diversity of scCC states. Using Cytometry by Time of Flight, we quantify scCC states across suspension and adherent cell lines, and stimulated primary human T cells. Our approach captures the diversity of scCC states, including atypical CC states beyond canonical definitions. Pharmacologically-induced CC arrest reveals that perturbations exacerbate noncanonical states and induce previously unobserved states. Notably, primary cells escaping CC inhibition demonstrated aberrant CC states compared to untreated cells. Our approach enables deeper phenotyping of CC biology that generalizes to diverse cell systems with simultaneous multiplexing and integration with MC platforms.

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Publication Details

Journal
Nature Communications
Published
2025-10-03
DOI
https://doi.org/10.1038/s41467-025-63883-4
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
0.00

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article

A deep single cell mass cytometry approach to capture canonical and noncanonical cell cycle states

Meelad Amouzgar, Daniel Ho, Trevor Bruce, Patrícia Favaro et al.
Nature Communications
Single-cell and spatial transcriptomics
article

A deep single cell mass cytometry approach to capture canonical and noncanonical cell cycle states

Meelad Amouzgar, Daniel Ho, Trevor Bruce, Patrícia Favaro, Sean C. Bendall
article en

Abstract

The cell cycle (CC) underpins diverse cell processes like cell differentiation, cell expansion, and tumorigenesis but current single-cell (sc) strategies study CC as: coarse phases, rely on transcriptomic signatures, use imaging modalities limited to adherent cells, or lack high-throughput multiplexing. To solve this, we develop an expanded, Mass Cytometry (MC) approach with 48 CC-related molecules that deeply phenotypes the diversity of scCC states. Using Cytometry by Time of Flight, we quantify scCC states across suspension and adherent cell lines, and stimulated primary human T cells. Our approach captures the diversity of scCC states, including atypical CC states beyond canonical definitions. Pharmacologically-induced CC arrest reveals that perturbations exacerbate noncanonical states and induce previously unobserved states. Notably, primary cells escaping CC inhibition demonstrated aberrant CC states compared to untreated cells. Our approach enables deeper phenotyping of CC biology that generalizes to diverse cell systems with simultaneous multiplexing and integration with MC platforms.

Nature CommunicationsVol. 16(1)
Stanford University (US)
National Institutes of Health, Stanford Bio-X
Openalex Percentile: Top 76%
Single-cell and spatial transcriptomics
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