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相关概念视频

Overview Of Cell Separation And Isolation01:20

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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Layer-by-layer shear densification for multiscale hierarchical alignment in bulk hydrogels.

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相关实验视频

Updated: Jun 20, 2026

Workflow for High-content, Individual Cell Quantification of Fluorescent Markers from Universal Microscope Data, Supported by Open Source Software
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基准分析信息学工作流程用于数据独立获取单细胞蛋白质组学.

Jianwei Wang1, Yi Huang1,2, Fanghua Lu1,2

  • 1Single-Cell Proteomics Research Center, and Zhejiang Key Laboratory of Intelligent Manufacturing for Functional Chemicals, ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou, China.

Nature communications
|November 21, 2025
PubMed
概括
此摘要是机器生成的。

本研究引入了一个框架,用于比较单细胞蛋白质组学数据分析策略,使用数据独立采集质谱法 (DIA MS). 它比较软件工具和信息化工作流程,以指导DIA MS数据分析.

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Quantification of Site-specific Protein Lysine Acetylation and Succinylation Stoichiometry Using Data-independent Acquisition Mass Spectrometry
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Navigating the Mass Spectrometry-Based Proteomic Data Using Free Computational Tools
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科学领域:

  • 蛋白质组学是指蛋白质组学.
  • 质谱测量质量谱测量
  • 生物信息学是一种生物信息学.

背景情况:

  • 使用数据独立采集质谱 (DIA MS) 的单细胞蛋白质组学正在迅速发展.
  • 各种数据分析策略对单细胞蛋白质组结果的影响仍未得到充分研究.

研究的目的:

  • 建立一个框架,用于对基于DIA的单细胞蛋白质组学数据分析策略进行基准测试.
  • 系统地评估不同的软件工具,搜索策略和信息化工作流组合.

主要方法:

  • 开发了一个基于DIA的单细胞蛋白质组学的基准测试框架.
  • 比较了流行的DIA数据分析软件和搜索策略.
  • 评估了信息化工作流组合:稀疏性减少,缺失值赋值,规范化,批量效应校正和差异表达式分析.

主要成果:

  • 对DIA数据分析软件和搜索策略的全面比较.
  • 系统评估信息化工作流程方法组合.
  • 在模拟和真实单细胞样本上进行的基准测试.

结论:

  • 为基于DIA的单细胞蛋白质组学数据分析提供建议.
  • 强调选择适当的数据分析策略的重要性,以获得可靠的结果.
  • 促进了单细胞蛋白质组研究中数据的改进解释.