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A mechanical biomarker of cell state in medicine.医学中细胞状态的一种机械生物标志物。
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Rho GTPases mediate the mechanosensitive lineage commitment of neural stem cells.Rho GTPases 介导神经干细胞的机械敏感谱系分化。
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A microfabricated deformability-based flow cytometer with application to malaria.一种基于微制造变形的流动细胞仪及其在疟疾中的应用。
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Cell deformation cytometry using diode-bar optical stretchers.使用二极体光棒光学拉伸器进行细胞变形细胞计量学。
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单细胞水动力拉伸技术用于大规模细胞力学表型分析。

Hydrodynamic stretching of single cells for large population mechanical phenotyping.

机构信息

Department of Bioengineering, University of California, Los Angeles, CA 90095, USA.

出版信息

Proc Natl Acad Sci U S A. 2012 May 15;109(20):7630-5. doi: 10.1073/pnas.1200107109. Epub 2012 Apr 30.

DOI:10.1073/pnas.1200107109
PMID:22547795
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3356639/
Abstract

Cell state is often assayed through measurement of biochemical and biophysical markers. Although biochemical markers have been widely used, intrinsic biophysical markers, such as the ability to mechanically deform under a load, are advantageous in that they do not require costly labeling or sample preparation. However, current techniques that assay cell mechanical properties have had limited adoption in clinical and cell biology research applications. Here, we demonstrate an automated microfluidic technology capable of probing single-cell deformability at approximately 2,000 cells/s. The method uses inertial focusing to uniformly deliver cells to a stretching extensional flow where cells are deformed at high strain rates, imaged with a high-speed camera, and computationally analyzed to extract quantitative parameters. This approach allows us to analyze cells at throughputs orders of magnitude faster than previously reported biophysical flow cytometers and single-cell mechanics tools, while creating easily observable larger strains and limiting user time commitment and bias through automation. Using this approach we rapidly assay the deformability of native populations of leukocytes and malignant cells in pleural effusions and accurately predict disease state in patients with cancer and immune activation with a sensitivity of 91% and a specificity of 86%. As a tool for biological research, we show the deformability we measure is an early biomarker for pluripotent stem cell differentiation and is likely linked to nuclear structural changes. Microfluidic deformability cytometry brings the statistical accuracy of traditional flow cytometric techniques to label-free biophysical biomarkers, enabling applications in clinical diagnostics, stem cell characterization, and single-cell biophysics.

摘要

细胞状态通常通过测量生化和生物物理标志物来评估。虽然生化标志物得到了广泛应用,但内在的生物物理标志物,如在负载下机械变形的能力,具有优势,因为它们不需要昂贵的标记或样品制备。然而,目前用于检测细胞机械性能的技术在临床和细胞生物学研究应用中的应用受到了限制。在这里,我们展示了一种能够以大约 2000 个/秒的速度探测单细胞可变形性的自动化微流控技术。该方法使用惯性聚焦将细胞均匀地输送到拉伸扩展流中,在高应变速率下使细胞变形,用高速相机成像,并通过计算分析提取定量参数。这种方法使我们能够以比以前报道的生物物理流式细胞仪和单细胞力学工具快几个数量级的速度分析细胞,同时产生易于观察的更大应变,并通过自动化限制用户的时间投入和偏差。使用这种方法,我们快速检测胸腔积液中天然白细胞和恶性细胞的可变形性,并以 91%的灵敏度和 86%的特异性准确预测癌症和免疫激活患者的疾病状态。作为生物学研究的工具,我们表明我们测量的可变形性是多能干细胞分化的早期生物标志物,并且可能与核结构变化有关。微流控变形细胞术将传统流式细胞术技术的统计准确性应用于无标记的生物物理生物标志物,使其能够在临床诊断、干细胞表征和单细胞生物物理学中得到应用。