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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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相关实验视频

Updated: Jul 10, 2025

Kinetic Measurement and Real Time Visualization of Somatic Reprogramming
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Kinetic Measurement and Real Time Visualization of Somatic Reprogramming

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使用细胞选与细胞透染料进行Repli-seq样本制备.

Silvia Meyer-Nava1,2, Anala V Shetty1,2, Juan Carlos Rivera-Mulia1,2,3

  • 1Department of Biochemistry, Molecular Biology and Biophysics, University of Minnesota Medical School, Minneapolis, Minnesota.

Current protocols
|November 27, 2023
PubMed
概括
此摘要是机器生成的。

这项研究为活细胞和完整的细胞核提供了优化的Repli-seq方法. 这些新协议减少了细胞输入,处理时间和样本损失,同时保持了高质量的复制时间数据.

关键词:
复制-seqq 的意思.细胞循环中的细胞循环.流动细胞计量是流动细胞计量的方法.完好无损的核心.复制时间复制时间.

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Author Spotlight: Advancing Metabolomics Analysis of Rare Hematopoietic Stem Cells
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Single-cell RNA Sequencing of Fluorescently Labeled Mouse Neurons Using Manual Sorting and Double In Vitro Transcription with Absolute Counts Sequencing DIVA-Seq
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Single-cell RNA Sequencing of Fluorescently Labeled Mouse Neurons Using Manual Sorting and Double In Vitro Transcription with Absolute Counts Sequencing DIVA-Seq

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相关实验视频

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Author Spotlight: Advancing Metabolomics Analysis of Rare Hematopoietic Stem Cells
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Single-cell RNA Sequencing of Fluorescently Labeled Mouse Neurons Using Manual Sorting and Double In Vitro Transcription with Absolute Counts Sequencing DIVA-Seq
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Single-cell RNA Sequencing of Fluorescently Labeled Mouse Neurons Using Manual Sorting and Double In Vitro Transcription with Absolute Counts Sequencing DIVA-Seq

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科学领域:

  • 分子生物学分子生物学
  • 基因组学就是基因组学.
  • 表观遗传学 在表观遗传学中,表观遗传学是指表观遗传学.

背景情况:

  • 复制时间与基因表达和染色体组织相关.
  • 它在细胞分化过程中发生变化,并在疾病中发生变化.
  • 全基因组复制时间分析使用Repli-seq,通常需要大量的固定细胞.

研究的目的:

  • 为活细胞和完整的细胞核开发优化的Repli-seq方法.
  • 为了克服当前依赖固定的协议的局限性.
  • 为了分析敏感或细胞数量低的样本中的复制时间.

主要方法:

  • 针对Repli-seq.q.进行活细胞和完整细胞核处理的优化协议.
  • 从难以分离的样本中分离,染色和处理核的方法.
  • 来自活细胞/细胞核的Repli-seq数据与标准协议的比较.

主要成果:

  • 使用活细胞和完整的细胞核成功实施Repli-seq.
  • 与标准方法相比,减少了细胞输入,处理时间和样本损失.
  • 高质量的Repli-seq数据与传统协议相比.

结论:

  • 优化活细胞和完整核的Repli-seq协议是有效的.
  • 这些方法将Repli-seq的适用性扩展到具有挑战性的样本类型.
  • 新的协议提供了高质量的复制时间数据,提高了效率.