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相关概念视频

Flow Cytometry01:23

Flow Cytometry

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The development of flow cytometry techniques began in 1934 with initial attempts by Andrew Moldavan, a bacteriologist who counted the cells in a flowing capillary system. Moldavan pumped cells through a capillary tube focused under a microscope for visualization. The invention of photometry allowed the measurement of differentially-stained cells, and Louis Kamentsky developed the first multiparameter flow cytometer in 1965 to identify and count the cancer cells in cervical tissue specimens.
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相关实验视频

Updated: Jun 14, 2025

Single-cell Analysis of Immunophenotype and Cytokine Production in Peripheral Whole Blood via Mass Cytometry
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Single-cell Analysis of Immunophenotype and Cytokine Production in Peripheral Whole Blood via Mass Cytometry

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ImmCellTyper促进了系统的质量细胞计数据分析,用于深度免疫分析.

Jing Sun1, Desmond Choy2, Nicolas Sompairac2

  • 1Centre for Inflammation Biology and Cancer Immunology & Peter Gorer Department of Immunobiology, King's College London, London, United Kingdom.

eLife
|September 6, 2024
PubMed
概括

ImmCellTyper是分析质量细胞计数据的新工具包,简化了复杂的免疫细胞概况. 它使用一个半监督的聚类工具,BinaryClust,以准确识别细胞类型,帮助临床研究.

关键词:
赛托夫 (CyTOF) 是一种计算生物学是计算生物学.计算框架计算框架人类 人类 人类 人类 人类 人类 人类免疫特征分析 免疫特征分析免疫学 免疫学 免疫学这是一种炎症炎症炎症炎症.系统生物学 系统生物学

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Isolation and Staining of Mouse Skin Keratinocytes for Cell Cycle Specific Analysis of Cellular Protein Expression by Mass Cytometry
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Isolation and Staining of Mouse Skin Keratinocytes for Cell Cycle Specific Analysis of Cellular Protein Expression by Mass Cytometry

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相关实验视频

Last Updated: Jun 14, 2025

Single-cell Analysis of Immunophenotype and Cytokine Production in Peripheral Whole Blood via Mass Cytometry
12:36

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Sample Preparation for Mass Cytometry Analysis
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Isolation and Staining of Mouse Skin Keratinocytes for Cell Cycle Specific Analysis of Cellular Protein Expression by Mass Cytometry
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科学领域:

  • 免疫学 免疫学 免疫学
  • 计算生物学 计算生物学
  • 生物信息学是一种生物信息学.

背景情况:

  • 质量细胞计 (例如,CyTOF) 产生高维单细胞数据用于免疫监测.
  • 通过飞行时间 (CyTOF) 分析大型细胞计量数据集带来了重大的计算挑战.
  • 现有的分析工具可能缺乏复杂免疫分析所需的准确性或效率.

研究的目的:

  • 介绍 ImmCellTyper,这是一个用于全面 CyTOF 数据分析的新型工具包.
  • 介绍BinaryClust,一个半监督的集群工具,用于自动化细胞类型识别.
  • 提供一个用户友好的工作流程,用于质量控制,细胞表征和对CyTOF数据的差异分析.

主要方法:

  • 开发ImmCellTyper,一个整合半监督集群 (BinaryClust) 和数据分析模块的工具包.
  • 比较比较BinaryClust与使用大型 CyTOF 数据集 (约. 4百万个细胞).
  • 实施五步工作流程:批量校正,QC,细胞系鉴定,子集调查和差异分析.

主要成果:

  • 与其他聚类工具相比,BinaryClust表现出卓越的准确性和速度.
  • 对于BinaryClust,它的性能与人类专家手动关门的性能相匹配.
  • ImmCellTyper为CyTOF数据分析的各个阶段提供了一个全面的工具套件.

结论:

  • 对于高维CyTOF数据所带来的分析挑战,ImmCellTyper提供了一个有效的解决方案.
  • 该工具包使用生物知识和半监督学习准确地解构了主要细胞系.
  • 通过发现新型细胞子集和差异分析,ImmCellTyper促进了先进的免疫分析.