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相关概念视频

Overview Of Cell Separation And Isolation01:20

Overview Of Cell Separation And Isolation

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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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Techniques for Isolation of Pure Cultures01:24

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Microorganisms are routinely cultured in the laboratory using various techniques to isolate, grow, and quantify them for further study. These methods rely on inoculating microorganisms into a suitable growth medium under aseptic conditions to prevent contamination. Depending on the objective, inoculation can involve direct transfer or the use of diluted bacterial suspensions as the inoculum.Streak-Plate Method for IsolationThe streak-plate method is a common technique for obtaining pure...
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相关实验视频

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A Microfluidic Platform for High-throughput Single-cell Isolation and Culture
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一个活细胞平台,以隔离表型定义的亚种群,用于空间的多原子分析.

Tala O Khatib1,2,3, Angelica M Amanso1,2, Christina M Knippler1,2

  • 1Department of Hematology and Medical Oncology, Emory University School of Medicine, Atlanta, Georgia, United States of America.

PloS one
|October 11, 2023
PubMed
概括
此摘要是机器生成的。

一个新的时空基因组和细胞分析 (SaGA) 协议精确地根据表型隔离活细胞,用于多组分析. 这弥合了细胞异质性研究中活细胞行为和分子概况之间的差距.

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相关实验视频

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科学领域:

  • 细胞生物学 细胞生物学
  • 基因组学就是基因组学.
  • 生物技术是生物技术.

背景情况:

  • 现有的方法,如单细胞RNA测序,现场杂交和流动细胞计,揭示了细胞异质性,但不能将活细胞表型与分子数据联系起来.
  • 在理解细胞异质性方面存在一个关键的差距,原因是无法将动态活细胞表型 (例如,侵入性,细胞相互作用) 与多原子形状相关联.

研究的目的:

  • 开发一种新的协议,即时空间基因组和细胞分析 (SaGA),用于精确隔离和扩展表型上不同的活细胞.
  • 弥合活细胞表型观测和多组学分析之间的差距,以全面了解细胞异质性.

主要方法:

  • 该SaGA协议使用表达可光转换光蛋白的细胞.
  • 活细胞共聚焦显微镜用于光学突出特定细胞或表现出所需表型的细胞群.
  • 光激活细胞分类 (FACS) 用于将这些光学标记的细胞从它们的微环境中分离出来,用于随后的分析.

主要成果:

  • 萨加可以在一个工作日内隔离表型定义的活细胞亚种群.
  • 隔离的细胞可以接受多组体分析或扩展以进行进一步的体外/体内研究.
  • 该协议是灵活的,可以适应各种研究条件和特定用户的兴趣.

结论:

  • 萨加技术提供了一种强大的方法,可以将活细胞表型与多omics数据集成在一起,从而推进细胞异质性的研究.
  • 这种方法有助于生成重要的多维数据集,以探索正常和疾病细胞群体内的复杂关系.
  • 萨加为研究人员提供了一种实用而高效的解决方案,旨在将细胞行为与分子基础联系起来.