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Overview Of Cell Separation And Isolation

Overview Of Cell Separation And Isolation

Cell separation was first achieved in 1964 by S. H. Seal, who separated large tumor cells from the smaller blood cells using filtration. Two years later, Pohl and Hawk performed experiments on how cells respond differently to a nonuniform electric field based on the cell type. Such observations were the inception of cell separation methods, which allow isolating a single cell type from a heterogeneous sample.

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Updated: May 6, 2026

An Ultrahigh-throughput Microfluidic Platform for Single-cell Genome Sequencing

An Ultrahigh-throughput Microfluidic Platform for Single-cell Genome Sequencing

Published on: May 23, 2018

CleanBar:一个多功能解复器工具,用于单单元体的分割和聚合条形码

Vicente Arnau¹, Alicia Ortiz-Maiques¹, Juan Valero-Tebar¹

¹Institute for Integrative Systems Biology (I2SysBio), University of Valencia and Spanish National Research Council (CSIC), 46980, Paterna, Valencia, Spain.

ISME communications

|August 27, 2025

概括

一个新的生物信息工具,CleanBar,可以准确地解复单个细胞的条形码使用分离和池方法. 这促进了微生物单细胞基因组学和菌体与细菌相互作用的研究.

关键词:

阿特兰迪一个PacBio 脱多元化微生物单细胞基因组学菌与细菌的相互作用分割和聚合条形码

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Published on: April 7, 2023

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Last Updated: May 6, 2026

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科学领域:

微生物生态学
基因组学
生物信息学

背景情况:

分割和聚合条形码对于单细胞体质学至关重要,但缺乏用于解复的通用生物信息工具.
现有的方法在条形码位置,链接器长度和连接错误的变化中扎.

研究的目的:

开发一个灵活而准确的生物信息工具来解复单个带有序链的细胞.
解决目前用于分析微生物单细胞基因组数据的局限性.

主要方法:

开发CleanBar,一种用于解复序链条码的新生物信息工具.
使用Atrandi平台和PacBio对微生物单细胞基因组进行测序.
测试CleanBar处理条形码变化和连接错误的能力.

主要成果:

清洁条可以准确地读取,适应条形码位置和链接器长度的变化.
该工具成功地防止了类似条码的自然序列的错误分类,并处理了连接错误.
感染菌株的单细胞基因组学揭示了感染异质性,并使菌体拷贝数的估计成为可能.

结论:

这是一个高效,适应性和精确的微生物单细胞基因组学工具.
结合Atrandi平台和PacBio测序,CleanBar可以提高微生物生态和进化的高吞吐量分析.
该工具有助于更深入地了解单细胞水平上的菌体与细菌的相互作用.