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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.
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Updated: Jul 2, 2025

IP-FCM: Immunoprecipitation Detected by Flow Cytometry

IP-FCM: Immunoprecipitation Detected by Flow Cytometry

Published on: December 2, 2010

预测单抗原珠测试的流动细胞计交叉匹配结果.

Patrick A Flynn¹, Sebastian Fernando^1,2, Judith E Worthington¹

¹Transplantation Laboratory, Manchester Royal Infirmary, Manchester, UK.

International journal of immunogenetics

|February 20, 2024

概括

这项研究开发了一种使用单抗原珠 (SAB) 平均光强度 (MFI) 预测流细胞计交叉匹配 (FCXM) 结果的算法. 该算法准确预测T细胞和B细胞交叉匹配结果,有助于评估免疫风险.

关键词:

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科学领域:

免疫学免疫学免疫学
移植科学移植科学
临床化学临床化学

背景情况:

流细胞计交叉匹配 (FCXM) 对于评估移植兼容性至关重要.
使用移植前抗体查预测FCXM结果可以优化资源配置.
单抗原珠 (SAB) 试验提供了详细的人类白细胞抗原 (HLA) 抗体信息.

研究的目的:

开发和验证基于SAB平均光强度 (MFI) 预测FCXM结果的算法.
为了将SAB MFI水平与已建立的国家外部质量保证体系 (NEQAS) 交叉匹配结果相关联.
建立T细胞和B细胞交叉匹配的预测模型.

主要方法:

从NEQAS (2019-2023) 能力测试中对159个血清样本和40个HLA类型的外周血液样本进行了回顾性分析.
使用LABScreen单抗原 (SAB) 的查和使用LABType SSO的HLA类型.
通过结合HLA I类和/或II类MFI值来开发预测算法,并使用接收器运行特征分析进行验证.

主要成果:

组合的HLA I类MFI>5000准确预测T细胞交叉匹配 (96%的灵敏度,100%的特异性).
对于B细胞交叉匹配的预测,HLA类I + 类II MFI>11,000显示出高准确度 (97%的灵敏度,82%的特异性).
针对B细胞预测的优化模型,特别是针对HLAII类敏感性,显示出高灵敏度和特异性.

结论:

SAB MFI 级别可以可靠地预测 FCXM 结果,特别是 T 细胞交叉匹配.
开发的算法提供了一个有价值的工具,用于估计FCXM不可行时,来自供体特异性抗体的免疫风险.
这种预测模型增强了移植前的风险评估和移植中的资源管理.