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自动描述性细胞类型命名在流量和质量细胞计与CytoPheno

Amanda R Tursi^1,2, Celine S Lages^3,4, Kenneth Quayle³

¹Department of Biomedical Informatics, University of Cincinnati College of Medicine, Cincinnati, OH, USA.

Scientific reports

|July 23, 2025

概括

赛托菲诺通过细胞计量数据自动化细胞群表型化. 该工具分配标记定义和细胞类型名称,提高细胞分析的准确性和效率.

科学领域:

免疫学免疫学免疫学
生物信息学是一种生物信息学.
计算生物学计算生物学

背景情况:

流细胞计产生复杂的,高维的数据,需要先进的分析.
自动集群方法很常见,但手动表型细胞集群是耗时和主观的.

研究的目的:

开发一个自动化工具,CytoPheno,用于将标记物定义和细胞类型名称分配给细胞群.
解决细胞计量数据分析中手动表型定型的局限性.

主要方法:

赛托菲诺处理后集群表达数据来赋予阳性/阴性标记状态.
标记名称标准化为蛋白质本体学标识符.
细胞类型的名称是通过将标记物描述与细胞本体学术语相匹配来分配的.
一个图形用户界面 (R Shiny) 提高了可访问性.

主要成果:

该算法成功地将标记定义和细胞类型名称分配给未识别的集群.
使用基准数据验证了性能.
图形用户界面提高了用户的解释性.

结论:

赛托菲诺为表型细胞计量数据提供了及时且公正的解决方案.
该工具提高了细胞类型识别的效率和准确性.
自动化表型识别可以从高维细胞计数据集中获得更深入的见解.

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相关概念视频

Flow Cytometry

Flow Cytometry

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.
In...