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同时分析少量细胞的多参数细胞能量代谢特征。

Simultaneous Multiparameter Cellular Energy Metabolism Profiling of Small Populations of Cells.

机构信息

Center for Biosignatures Discovery Automation, The Biodesign Institute, Arizona State University, 1001 S. McAllister Ave., Tempe, AZ, 85287, USA.

出版信息

Sci Rep. 2018 Mar 12;8(1):4359. doi: 10.1038/s41598-018-22599-w.

DOI:10.1038/s41598-018-22599-w
PMID:29531352
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5847514/
Abstract

Functional and genomic heterogeneity of individual cells are central players in a broad spectrum of normal and disease states. Our knowledge about the role of cellular heterogeneity in tissue and organism function remains limited due to analytical challenges one encounters when performing single cell studies in the context of cell-cell interactions. Information based on bulk samples represents ensemble averages over populations of cells, while data generated from isolated single cells do not account for intercellular interactions. We describe a new technology and demonstrate two important advantages over existing technologies: first, it enables multiparameter energy metabolism profiling of small cell populations (<100 cells)-a sample size that is at least an order of magnitude smaller than other, commercially available technologies; second, it can perform simultaneous real-time measurements of oxygen consumption rate (OCR), extracellular acidification rate (ECAR), and mitochondrial membrane potential (MMP)-a capability not offered by any other commercially available technology. Our results revealed substantial diversity in response kinetics of the three analytes in dysplastic human epithelial esophageal cells and suggest the existence of varying cellular energy metabolism profiles and their kinetics among small populations of cells. The technology represents a powerful analytical tool for multiparameter studies of cellular function.

摘要

单个细胞的功能和基因组异质性是广泛的正常和疾病状态的核心因素。由于在细胞-细胞相互作用的背景下进行单细胞研究时会遇到分析挑战,因此我们对细胞异质性在组织和器官功能中的作用的了解仍然有限。基于批量样本的信息代表了细胞群体的总体平均值,而从分离的单个细胞中获得的数据则没有考虑到细胞间的相互作用。我们描述了一种新技术,并展示了它相对于现有技术的两个重要优势:首先,它能够对小细胞群(<100 个细胞)进行多参数能量代谢分析 - 这种样本量比其他商业上可用的技术至少小一个数量级;其次,它可以同时实时测量耗氧量(OCR)、细胞外酸化率(ECAR)和线粒体膜电位(MMP) - 这是任何其他商业上可用的技术都无法提供的功能。我们的结果揭示了畸形人上皮食管细胞中这三种分析物的反应动力学存在显著差异,并表明在小细胞群体中存在不同的细胞能量代谢谱及其动力学。该技术代表了细胞功能的多参数研究的强大分析工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d659/5847514/47609b208850/41598_2018_22599_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d659/5847514/fb2add4f6375/41598_2018_22599_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d659/5847514/8b6122eaa6c5/41598_2018_22599_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d659/5847514/46cfac4804e0/41598_2018_22599_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d659/5847514/e55d554db8ca/41598_2018_22599_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d659/5847514/d4e615d84624/41598_2018_22599_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d659/5847514/bb837342e5cf/41598_2018_22599_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d659/5847514/47609b208850/41598_2018_22599_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d659/5847514/fb2add4f6375/41598_2018_22599_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d659/5847514/8b6122eaa6c5/41598_2018_22599_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d659/5847514/46cfac4804e0/41598_2018_22599_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d659/5847514/e55d554db8ca/41598_2018_22599_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d659/5847514/d4e615d84624/41598_2018_22599_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d659/5847514/bb837342e5cf/41598_2018_22599_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d659/5847514/47609b208850/41598_2018_22599_Fig7_HTML.jpg

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本文引用的文献

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A versatile method for dynamically controlled patterning of small populations of epithelial cells on substrates via non-contact piezoelectric inkjet printing.一种通过非接触式压电喷墨打印在基底上对少量上皮细胞进行动态控制图案化的通用方法。
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