探索细胞周期扰动下 FOXM1 的单细胞动态变化

Tooba Jawwad, Maliwan Kamkaew, Kriengkrai Phongkitkarun, Porncheera Chusorn, Somponnat Sampattavanich
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摘要

细胞周期对维持正常的细胞功能和防止复制错误至关重要。FOXM1是一种关键的转录因子,在调控细胞周期进程中起着关键作用,并与各种生理和病理过程有关,包括肝癌、前列腺癌、乳腺癌、肺癌和结肠癌等癌症。尽管此前已有研究,但我们对 FOXM1 在不同细胞周期扰动下的动态及其与异质性细胞命运决定的联系的了解仍然有限。在这项研究中,我们调查了暴露于各种扰动剂的单个细胞中的 FOXM1 行为。我们发现,由于单细胞水平的 FOXM1 动态异质性,不同的药物会诱发不同的反应。单细胞分析确定了六种不同的细胞表型:细胞分裂准时、细胞分裂延迟、细胞周期延迟、G1停滞、G2停滞和细胞死亡,这些表型在不同类型和剂量的药物中均可观察到。具体来说,PLK1、CDK1、CDK1/2 和极光激酶抑制剂的处理显示了不同的 FOXM1 动态,导致了不同的细胞结果。我们的研究结果证实,FOXM1动力学在决定细胞结果方面起着关键作用,与所使用的特定抑制剂无关。我们的研究结果让人们深入了解了 FOXM1 动态如何有助于细胞周期命运的决定,尤其是在不同的细胞周期扰动下。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploring the Single-Cell Dynamics of FOXM1 Under Cell Cycle Perturbations
The cell cycle is crucial for maintaining normal cellular functions and preventing replication errors. FOXM1, a key transcription factor, plays a pivotal role in regulating cell cycle progression and is implicated in various physiological and pathological processes, including cancers like liver, prostate, breast, lung, and colon cancer. Despite previous research, our understanding of FOXM1 dynamics under different cell cycle perturbations and its connection to heterogeneous cell fate decisions remains limited. In this study, we investigated FOXM1 behavior in individual cells exposed to various perturbagens. We found that different drugs induce diverse responses due to heterogeneous FOXM1 dynamics at the single-cell level. Single-cell analysis identified six distinct cellular phenotypes: on-time cytokinesis, cytokinesis delay, cell cycle delay, G1 arrest, G2 arrest, and cell death, observed across different drug types and doses. Specifically, treatments with PLK1, CDK1, CDK1/2, and Aurora kinase inhibitors revealed varied FOXM1 dynamics leading to heterogeneous cellular outcomes. Our findings affirm that FOXM1 dynamics are pivotal in determining cellular outcomes, independent of the specific inhibitor employed. Our results gave insights into how FOXM1 dynamics contribute to cell cycle fate decisions, especially under different cell-cycle perturbations.
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