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通过细胞形态学检测和分类T细胞功能

Xin Wang¹, Stacey M Fernandes², Jennifer R Brown²

¹Department of Biomedical Engineering, Columbia University, New York, NY.

BioMedInformatics

|November 11, 2024

概括

细胞形态,特别是T细胞在弹性表面传播,可以表明免疫细胞的功能. 该方法将健康的T细胞与慢性淋巴细胞白血病 (CLL) 患者的健康T细胞区分开来,帮助免疫治疗.

科学领域:

免疫学免疫学免疫学
细胞生物学细胞生物学
生物物理学的生物物理.

背景情况:

个体免疫细胞功能变异性对细胞免疫疗法提出了挑战.
对有效的治疗策略来说,T细胞功能评估至关重要.

研究的目的:

研究T细胞形态作为T细胞功能的可量化的指标.
根据形态学来区分健康捐赠者和慢性淋巴细胞白血病 (CLL) 患者的T细胞.
探索基质弹性的对T细胞行为的影响.

主要方法:

量化T细胞在弹性表面的短期扩散,使用11个形态参数.
分析了来自健康捐赠者和CLL患者的T细胞之间的形态变异.
评估T细胞对具有不同弹性模块的基质的反应.
采用机器学习算法 (决策树,随机森林) 来根据组合的形态特征对T细胞进行分类.

主要成果:

鉴定出明显的形态特征,使T细胞与健康和CLL捐献者区别开来.
观察到与基质弹性模量相关的T细胞扩散反应的差异.
机器学习模型使用形态数据有效区分健康和CLLT细胞.

结论:

在弹性表面上的T细胞形态作为T细胞功能的可靠指标.
这种形态测量方法可以从健康和CLL个体中区分T细胞.
进一步的开发可以实现快速的T细胞功能测定,以指导细胞免疫疗法.

关键词:

在 CLL CLL 中.在T细胞中,有机感知T细胞.T细胞形态学T细胞形态学免疫疗法免疫疗法一个内在的状态.机器学习是机器学习.主要的人类T细胞.快速测量的快速测量周围环境周围环境

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