Time-Resolved Study of Nanoparticle Induced Apoptosis Using Microfabricated Single Cell Arrays.

Peter J F Röttgermann, Kenneth A Dawson, Joachim O Rädler
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引用次数: 9

Abstract

Cell fate decisions like apoptosis are heterogeneously implemented within a cell population and, consequently, the population response is recognized as sum of many individual dynamic events. Here, we report on the use of micro-patterned single-cell arrays for real-time tracking of nanoparticle-induced (NP) cell death in sets of thousands of cells in parallel. Annexin (pSIVA) and propidium iodide (PI), two fluorescent indicators of apoptosis, are simultaneously monitored after exposure to functionalized polystyrene (PS - NH 2) nanobeads as a model system. We find that the distribution of Annexin onset times shifts to later times and broadens as a function of decreasing NP dose. We discuss the mean time-to-death as a function of dose, and show how the EC 50 value depends both on dose and time of measurement. In addition, the correlations between the early and late apoptotic markers indicate a systematic shift from apoptotic towards necrotic cell death during the course of the experiment. Thus, our work demonstrates the potential of array-based single cell cytometry for kinetic analysis of signaling cascades in a high-throughput format.

纳米颗粒诱导细胞凋亡的时间分辨研究。
细胞凋亡等细胞命运决定在细胞群体中是异质实现的,因此,群体反应被认为是许多个体动态事件的总和。在这里,我们报道了使用微图案单细胞阵列来实时跟踪纳米颗粒诱导的(NP)细胞死亡,这些细胞平行于数千个细胞。膜联蛋白(pSIVA)和碘化丙啶(PI)是两种细胞凋亡的荧光指标,在暴露于功能化聚苯乙烯(PS - nh2)纳米球作为模型系统后同时进行监测。我们发现,随着NP剂量的降低,膜联蛋白的起效时间逐渐变晚,并逐渐变宽。我们讨论了平均死亡时间作为剂量的函数,并说明EC 50值如何取决于剂量和测量时间。此外,早期和晚期凋亡标志物之间的相关性表明,在实验过程中,细胞从凋亡到坏死死亡的系统性转变。因此,我们的工作证明了基于阵列的单细胞细胞术在高通量格式的信号级联动力学分析中的潜力。
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来源期刊
自引率
0.00%
发文量
0
审稿时长
11 weeks
期刊介绍: High-Throughput (formerly Microarrays, ISSN 2076-3905) is a multidisciplinary peer-reviewed scientific journal that provides an advanced forum for the publication of studies reporting high-dimensional approaches and developments in Life Sciences, Chemistry and related fields. Our aim is to encourage scientists to publish their experimental and theoretical results based on high-throughput techniques as well as computational and statistical tools for data analysis and interpretation. The full experimental or methodological details must be provided so that the results can be reproduced. There is no restriction on the length of the papers. High-Throughput invites submissions covering several topics, including, but not limited to: Microarrays, DNA Sequencing, RNA Sequencing, Protein Identification and Quantification, Cell-based Approaches, Omics Technologies, Imaging, Bioinformatics, Computational Biology/Chemistry, Statistics, Integrative Omics, Drug Discovery and Development, Microfluidics, Lab-on-a-chip, Data Mining, Databases, Multiplex Assays.
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