MetaDeformability Dataset

This datasets contains results presented in the manuscript published in 2020 by <i>Urbanska, Muñoz</i> et al.:<br><b><i>A comparison of microfluidic methods for high-throughput cell deformability measurements</i></b>https://doi.org/…<b><br> Abstract </b>The mechanical phenotype of a cell is an inherent biophysical marker of its state and function, with potential value in clinical diagnostics. Several microfluidic-based methods developed in recent years have enabled single-cell mechanophenotyping at throughputs comparable to flow cytometery. Here we present a highly standardized cross-laboratory study comparing three leading microfluidic-based approaches to measure cell mechanical phenotype: constriction-based deformability cytometry (cDC), shear flow deformability cytometry (sDC), and extensional flow deformability cytometry (xDC). We show that all three methods detect cell deformability changes induced by exposure to altered osmolarity. However, a dose-dependent deformability increase upon latrunculin B-induced actin disassembly was detected only with cDC and sDC, which suggests that when exposing cells to the higher strain rate imposed by xDC, other cell components dominate the response. The direct comparison presented here serves to unify deformability cytometry methods and provides context for the interpretation of deformability measurements performed using different platforms. <br> <b>Further information</b>The cross-laboratory study presented here focuses on comparing representatives of the three deformability cytometry methods: (i) an SMR-based cDC variant [1], (ii) RT-DC [2] as an example of sDC, (iii) DC [3] as an example of xDC.<br> <b>References</b>[1] Byun et al., 2013. Characterizing deformability and surface friction of cancer cells. PNAS 110(19): 7580-7585, https://doi.org/10.1073/pnas.1218806110[2] Otto et al., 2015. Real-time deformability cytometry: on-the-fly cell mechanical phenotyping. Nature Methods 12(3): 199-202, https://doi.org/10.1038/nmeth.3281[3] Gossett et al., 2012. Hydrodynamic stretching of single cells for large population mechanical phenotyping. PNAS 109(20): 7630-7635, https://doi.org/10.1073/pnas.1200107109<br> <b>Analysis codes</b>The accompanying analysis scripts necessary to generate the results presented in the manuscript from the dataset uploaded here are available on GitHub:https://github.com/dicarlo-lab/metadeformability<br>

本数据集包含<i>Urbanska、Muñoz等人</i>2020年发表的学术手稿中的研究结果，对应论文标题为<b><i>《高通量细胞变形性测量的微流控方法比较》</i></b>，DOI链接为https://doi.org/…

<b>摘要</b>细胞的机械表型是其状态与功能的内在生物物理标记物，在临床诊断中具有潜在应用价值。近年来开发的多种基于微流控技术的方法，已实现通量可与流式细胞术媲美的单细胞机械表型分析。本研究开展了高度标准化的跨实验室研究，对比了三种主流的基于微流控的细胞机械表型测量方法：基于微通道约束的变形细胞计数法（constriction-based deformability cytometry, cDC）、剪切流变形细胞计数法（shear flow deformability cytometry, sDC）以及拉伸流变形细胞计数法（extensional flow deformability cytometry, xDC）。研究表明，三种方法均可检测到渗透压改变诱导的细胞变形性变化。然而，仅cDC与sDC检测到了拉坦诺素B（latrunculin B）诱导肌动蛋白解聚后出现的剂量依赖性变形性升高，这提示当细胞受到xDC施加的更高应变率时，其他细胞成分主导了力学响应。本研究的直接对比统一了变形细胞计数法的相关研究，并为使用不同平台开展的变形性测量结果的解读提供了参考依据。

<b>补充信息</b>本研究开展的跨实验室对比聚焦于三种变形细胞计数法的代表性平台：(i) 基于同步微流控电阻抗（SMR）的cDC变体[1]；(ii) 实时变形细胞计数法（RT-DC）[2]，作为sDC的典型代表；(iii) 拉伸流变形细胞计数法（DC）[3]，作为xDC的典型代表。

<b>参考文献</b>
[1] Byun等人，2013年。《癌细胞的变形性与表面摩擦特性表征》，《美国国家科学院院刊》110(19): 7580-7585，https://doi.org/10.1073/pnas.1218806110
[2] Otto等人，2015年。《实时变形细胞计数法：实时在线单细胞机械表型分析》，《自然·方法》12(3): 199-202，https://doi.org/10.1038/nmeth.3281
[3] Gossett等人，2012年。《单细胞流体动力学拉伸用于大规模群体机械表型分析》，《美国国家科学院院刊》109(20): 7630-7635，https://doi.org/10.1073/pnas.1200107109

<b>分析代码</b>用于从本上传数据集生成论文中呈现结果的配套分析脚本，已开源至GitHub：https://github.com/dicarlo-lab/metadeformability