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核心技术专利:CN118964589B侵权必究
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一种用于捕获典型和非典型细胞周期状态的深度单细胞质谱流式细胞术方法。

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

作者信息

Amouzgar Meelad, Favaro Patricia, Ho Daniel, Bruce Trevor, Bendall Sean C

机构信息

Department of Pathology, Stanford University, Stanford, CA, USA.

Immunology Graduate Program, Stanford University, Stanford, CA, USA.

出版信息

bioRxiv. 2025 Jul 10:2025.07.08.663243. doi: 10.1101/2025.07.08.663243.


DOI:10.1101/2025.07.08.663243
PMID:40672327
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12265514/
Abstract

The cell cycle (CC) is involved in diverse cell processes like cell differentiation, immune cell expansion, and tumorigenesis but current single-cell (sc) strategies study CC as: (i) coarse phases, (ii) are based on transcriptomic data, (iii) leverage imaging modalities that are not extensible outside adherent cell culture, or (iv) do not enable high-throughput, single-cell multiplexing. To solve this, we developed an expanded, metal-tagged antibody approach for Mass Cytometry (MC) with 48 CC-related molecules that more deeply phenotypes the diversity of scCC states. Using cytometry by time of flight (CyTOF), we quantified CC states across various suspension and adherent cell lines and stimulated primary human T cells. Our approach captures the diversity of scCC states, including atypical molecular signatures that do not meet the canonical definitions of CC phases in the literature. Multiplexing with pharmacologically-induced CC arrest reveals that drug-induced CC perturbations can exacerbate reported noncanonical states and induce previously unobserved states. Notably, cells escaping CC inhibitor action in primary cells demonstrated more aberrant CC states compared to their untreated counterparts. Overall, our approach enables deeper phenotyping of CC biology that generalizes to diverse cell systems and can simultaneously multiplex experimental perturbation & disease systems, or integrate with other MC measurement platforms.

摘要

细胞周期(CC)参与多种细胞过程,如细胞分化、免疫细胞扩增和肿瘤发生,但目前的单细胞(sc)策略对CC的研究存在以下问题:(i)阶段划分粗糙;(ii)基于转录组数据;(iii)利用的成像方式无法在贴壁细胞培养之外扩展;或(iv)无法实现高通量单细胞多重分析。为了解决这些问题,我们开发了一种用于质谱流式细胞术(MC)的扩展型金属标记抗体方法,该方法针对48种与CC相关的分子,能更深入地表征scCC状态的多样性。通过飞行时间流式细胞术(CyTOF),我们对各种悬浮细胞系和贴壁细胞系以及刺激后的原代人T细胞中的CC状态进行了量化。我们的方法捕捉到了scCC状态 的多样性,包括不符合文献中CC阶段经典定义的非典型分子特征。与药理学诱导的CC停滞进行多重分析表明,药物诱导的CC扰动会加剧已报道的非经典状态,并诱导出以前未观察到的状态。值得注意的是,与未处理的原代细胞相比,逃避CC抑制剂作用的细胞表现出更异常的CC状态。总体而言,我们的方法能够对CC生物学进行更深入的表型分析,这种分析可推广到多种细胞系统,并且能够同时对实验扰动和疾病系统进行多重分析,或与其他MC测量平台整合。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ede/12265514/7e12c17423d9/nihpp-2025.07.08.663243v1-f0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ede/12265514/822384e10d08/nihpp-2025.07.08.663243v1-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ede/12265514/9832300c4dda/nihpp-2025.07.08.663243v1-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ede/12265514/4f744147a876/nihpp-2025.07.08.663243v1-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ede/12265514/d9284d04e8be/nihpp-2025.07.08.663243v1-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ede/12265514/2d19f103e351/nihpp-2025.07.08.663243v1-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ede/12265514/7e12c17423d9/nihpp-2025.07.08.663243v1-f0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ede/12265514/822384e10d08/nihpp-2025.07.08.663243v1-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ede/12265514/9832300c4dda/nihpp-2025.07.08.663243v1-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ede/12265514/4f744147a876/nihpp-2025.07.08.663243v1-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ede/12265514/d9284d04e8be/nihpp-2025.07.08.663243v1-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ede/12265514/2d19f103e351/nihpp-2025.07.08.663243v1-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ede/12265514/7e12c17423d9/nihpp-2025.07.08.663243v1-f0006.jpg

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本文引用的文献

[1]
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Cancer Gene Ther. 2024-9

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Brief Bioinform. 2024-1-22

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Nat Commun. 2023-12-9

[4]
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Mol Syst Biol. 2022-9

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Patterns (N Y). 2022-6-24

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Nat Methods. 2022-1

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Trends Cell Biol. 2022-1

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Int J Mol Sci. 2021-5-14

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