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基于表面差异蛋白水平的细胞分选的大规模加和密度调制。

Mass-Added Density Modulation for Sorting Cells Based on Differential Surface Protein Levels.

机构信息

Center for Biomedical Engineering, Brown University, Providence, Rhode Island, USA.

Department of Molecular Pharmacology, Physiology, and Biotechnology, Brown University, Providence, Rhode Island, USA.

出版信息

Cytometry A. 2021 May;99(5):488-495. doi: 10.1002/cyto.a.24192. Epub 2020 Aug 19.

DOI:10.1002/cyto.a.24192
PMID:32687243
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7855113/
Abstract

Cell sorting is a powerful tool in basic research and therapeutic enrichment. However, common cell sorting methods, such as fluorescence-activated cell sorting (FACS) and magnetic-activated cell sorting (MACS) have significant limitations, such as generally low cell yields or restriction to binary separation, respectively. To address these limitations, we developed a two-step cell sorting method called mass-added density centrifugation (MADC) to enable nonbinary separation of large cell numbers based on surface protein levels. In the first MADC step (mass-adding), antibody-directed massive microparticles bind target surface proteins to modulate single-cell density proportionally to target protein level. Second, microparticle-laden cells are subjected to discontinuous density gradient centrifugation, whereby they separate into discrete density bands which can be isolated for downstream use. MADC will prove especially advantageous for obtaining sufficient cell numbers for protein analyses from large source populations, and it is a fast process that can facilitate live cell enrichment for therapies that require tens of millions of cells. Here, we demonstrate MADC's utility for both live and fixed cell sorts of multiple cell types based on abundance of an example target protein, CD44. CD44 quantity in separated cell groups was assayed with western blots and correlated with modulated cell density. This novel sorting method enables rapid, nonbinary isolation of large quantities of cells based on surface protein levels and should prove useful in both basic science and therapeutic applications. © 2020 International Society for Advancement of Cytometry.

摘要

细胞分选是基础研究和治疗富集的有力工具。然而,常见的细胞分选方法,如荧光激活细胞分选(FACS)和磁激活细胞分选(MACS)分别存在细胞产量普遍较低或仅能实现二元分离的显著局限性。为了解决这些局限性,我们开发了一种两步细胞分选方法,称为质量添加密度离心(MADC),能够基于表面蛋白水平实现大数量的非二进制分离。在第一步 MADC(质量添加)中,抗体导向的大量微球结合靶表面蛋白,以调节单细胞密度与靶蛋白水平成比例。其次,载入微球的细胞进行不连续密度梯度离心,从而将其分离成离散的密度带,可用于下游应用。MADC 将特别有利于从大的源群体中获得足够数量的细胞用于蛋白质分析,并且是一种快速的过程,可以促进需要数千万个细胞的治疗方法中的活细胞富集。在这里,我们展示了 MADC 基于示例靶蛋白 CD44 的丰度对多种细胞类型的活细胞和固定细胞分选的实用性。用 Western blot 测定分离细胞群中 CD44 的数量,并与调节后的细胞密度相关联。这种新型分选方法能够基于表面蛋白水平快速、非二进制地分离大量细胞,应该在基础科学和治疗应用中都很有用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4af3/7855113/041b7b350f77/nihms-1636615-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4af3/7855113/6c95cbc86648/nihms-1636615-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4af3/7855113/a0d162e04f86/nihms-1636615-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4af3/7855113/96d6adc345b5/nihms-1636615-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4af3/7855113/041b7b350f77/nihms-1636615-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4af3/7855113/6c95cbc86648/nihms-1636615-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4af3/7855113/a0d162e04f86/nihms-1636615-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4af3/7855113/96d6adc345b5/nihms-1636615-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4af3/7855113/041b7b350f77/nihms-1636615-f0004.jpg

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Sci Rep. 2019 Jan 18;9(1):227. doi: 10.1038/s41598-018-36698-1.
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Processing fixed and stored adipose-derived stem cells for quantitative protein array assays.处理固定和储存的脂肪来源干细胞用于定量蛋白质阵列分析。
Biotechniques. 2017 Dec 1;63(6):275-280. doi: 10.2144/000114620.
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Isolation and characterization of human mesenchymal stem cells derived from synovial fluid by magnetic-activated cell sorting (MACS).
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Cell Biol Int. 2018 Mar;42(3):262-271. doi: 10.1002/cbin.10903. Epub 2017 Dec 20.
4
Intramyocardial fate and effect of iron nanoparticles co-injected with MACS purified stem cell products.与 MACS 纯化的干细胞产品共注射的铁纳米颗粒的心肌内命运和作用。
Biomaterials. 2017 Aug;135:74-84. doi: 10.1016/j.biomaterials.2017.05.002. Epub 2017 May 4.
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Flow cytometric single cell analysis reveals heterogeneity between adipose depots.流式细胞仪单细胞分析揭示了脂肪库之间的异质性。
Adipocyte. 2017 Apr 3;6(2):112-123. doi: 10.1080/21623945.2017.1319536. Epub 2017 Apr 14.
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