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Single-cell tracking as a tool for studying EMT-phenotypes
Experimental Cell Research ( IF 3.7 ) Pub Date : 2024-03-13 , DOI: 10.1016/j.yexcr.2024.113993
Ellen Marie Botne Quinsgaard , Mónica Suárez Korsnes , Reinert Korsnes , Siver Andreas Moestue

This article demonstrates that label-free single-cell video tracking is a useful approach for studies of Epithelial-Mesenchymal Transition (EMT). EMT is a highly heterogeneous process, involved in wound healing, embryogenesis and cancer. The process promotes metastasis, and increased understanding can aid development of novel therapeutic strategies. The role of EMT-associated biomarkers depends on biological context, making it challenging to compare and interpret data from different studies. We demonstrate single-cell video tracking for comprehensive phenotype analysis. In this study we performed single-cell video tracking on 72-h long recordings. We quantified several behaviours at a single-cell level during induced EMT in MDA-MB-468 cells. This revealed notable variations in migration speed, with different dose-response patterns and varying distributions of speed. By registering cell morphologies during the recording, we determined preferred paths of morphological transitions. We also found a clear association between migration speed and cell morphology. We found elevated rates of cell death, diminished proliferation, and an increase in mitotic failures followed by re-fusion of sister-cells. The method allows tracking of phenotypes in cell lineages, which can be particularly useful in epigenetic studies. Sister-cells were found to have significant similarities in their speeds and morphologies, illustrating the heritability of these traits.

中文翻译:

单细胞追踪作为研究 EMT 表型的工具

本文证明无标记单细胞视频跟踪是研究上皮间质转化(EMT)的一种有用方法。 EMT 是一个高度异质的过程,涉及伤口愈合、胚胎发生和癌症。该过程促进转移,增加了解可以帮助开发新的治疗策略。 EMT 相关生物标志物的作用取决于生物学背景,因此比较和解释不同研究的数据具有挑战性。我们演示了用于全面表型分析的单细胞视频跟踪。在这项研究中,我们对 72 小时的长记录进行了单细胞视频跟踪。我们在 MDA-MB-468 细胞诱导 EMT 过程中在单细胞水平上量化了几种行为。这揭示了迁移速度的显着变化,具有不同的剂量反应模式和不同的速度分布。通过在记录过程中记录细胞形态,我们确定了形态转变的首选路径。我们还发现迁移速度和细胞形态之间存在明显的关联。我们发现细胞死亡率升高,增殖减少,有丝分裂失败增加,随后姐妹细胞重新融合。该方法允许跟踪细胞谱系中的表型,这在表观遗传学研究中特别有用。人们发现姐妹细胞在速度和形态上具有显着的相似性,说明了这些性状的遗传性。
更新日期:2024-03-13
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