Weida Wu, Sarah H. Ishamuddin, Thomas W. Quinn, Smitha Yerrum, Ye Zhang, Lydie L. Debaize, Pei-Lun Kao, Sarah Marie Duquette, Mark A. Murakami, Morvarid Mohseni, Kin-Hoe Chow, Teemu P. Miettinen, Keith L. Ligon, Scott R. Manalis
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引用次数: 0
摘要
细胞密度,即细胞质量与体积之比,是分子拥挤程度的指标,也是细胞状态和功能的基本决定因素。然而,现有的密度测量缺乏精确或吞吐量来量化细胞状态的细微差异,特别是在初级样品中。在这里,我们提出了一种方法,通过集成荧光排斥显微镜与悬浮微通道谐振器测量每小时30,000个单细胞的密度。对于直径大于12 μm的细胞,该方法的精度为0.03% (0.0003 g ml−1)。在人类淋巴细胞中,我们发现细胞密度及其变异随着细胞从静止状态过渡到增殖状态而降低,这表明分子拥挤水平在进入细胞周期后降低并受到更多调节。利用胰腺癌患者来源的异种移植模型,我们发现原发肿瘤细胞对药物治疗的体外密度反应可以预测体内肿瘤生长反应。我们的方法揭示了细胞状态转变过程中分子拥挤的意外行为,并建议密度作为功能精准医学的生物标志物。
High-throughput single-cell density measurements enable dynamic profiling of immune cell and drug response from patient samples
Cell density, the ratio of cell mass to volume, is an indicator of molecular crowding and a fundamental determinant of cell state and function. However, existing density measurements lack the precision or throughput to quantify subtle differences in cell states, particularly in primary samples. Here we present an approach for measuring the density of 30,000 single cells per hour by integrating fluorescence exclusion microscopy with a suspended microchannel resonator. This approach achieves a precision of 0.03% (0.0003 g ml−1) for cells larger than 12 μm in diameter. In human lymphocytes, we discover that cell density and its variation decrease as cells transition from quiescence to a proliferative state, suggesting that the level of molecular crowding decreases and becomes more regulated upon entry into the cell cycle. Using a pancreatic cancer patient-derived xenograft model, we find that the ex vivo density response of primary tumour cells to drug treatment can predict the in vivo tumour growth response. Our method reveals unexpected behaviour in molecular crowding during cell state transitions and suggests density as a biomarker for functional precision medicine.
期刊介绍:
Nature Biomedical Engineering is an online-only monthly journal that was launched in January 2017. It aims to publish original research, reviews, and commentary focusing on applied biomedicine and health technology. The journal targets a diverse audience, including life scientists who are involved in developing experimental or computational systems and methods to enhance our understanding of human physiology. It also covers biomedical researchers and engineers who are engaged in designing or optimizing therapies, assays, devices, or procedures for diagnosing or treating diseases. Additionally, clinicians, who make use of research outputs to evaluate patient health or administer therapy in various clinical settings and healthcare contexts, are also part of the target audience.