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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: Jun 29, 2025

Techniques for the Analysis of Extracellular Vesicles Using Flow Cytometry

Techniques for the Analysis of Extracellular Vesicles Using Flow Cytometry

Published on: March 17, 2015

使用流式细胞计量对单个小细胞外囊泡进行精确分析.

Hisano Kobayashi^1,2, Takayuki Shiba^1,3, Takeshi Yoshida^4,5

¹Department of Immunology, Graduate School of Medical Sciences, Kanazawa University, Kanazawa, Ishikawa, Japan.

Scientific reports

|March 30, 2024

概括

通过流细胞计量精确量化小细胞外囊泡 (sEVs) 是一个挑战. 尺寸排除色谱 (SEC) 和TIM4亲和方法提供单个SEV的特定检测,改善诊断和治疗研究.

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Last Updated: Jun 29, 2025

Techniques for the Analysis of Extracellular Vesicles Using Flow Cytometry

Techniques for the Analysis of Extracellular Vesicles Using Flow Cytometry

Published on: March 17, 2015

Single Extracellular Vesicle Transmembrane Protein Characterization by Nano-Flow Cytometry

Single Extracellular Vesicle Transmembrane Protein Characterization by Nano-Flow Cytometry

Published on: July 26, 2022

Flow Cytometric Analysis of Extracellular Vesicles from Cell-conditioned Media

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科学领域:

生物技术是生物技术.
纳米技术纳米技术
免疫学免疫学免疫学

背景情况:

使用流细胞计量精确量化小细胞外囊泡 (sEVs) 是至关重要的,但仍然具有挑战性.
抗体聚合和非特异性结合显著影响sEV流细胞计分析的可靠性.
标准对照IgG的比较是不充分的,因为与标特定IgG固有的差异.

研究的目的:

评估和比较四种不同的制备方法用于sEVs的流量细胞计分析.
确定可靠的方法,以对单个SEV进行特定和敏感的量化.
评估优化方法的实用性,以检测与sEVs有关的疾病标志物.

主要方法:

评估超离心,密度梯度离心,尺寸排除色谱 (SEC) 和 TIM4亲和力净化方法.
利用四素缺乏的sEVs来评估特异性和错误阳性率.
流细胞计用于分析已准备的sEV样本.

主要成果:

超离心和密度梯度离心表现出高的错误阳性率为四素染色.
尺寸排除色谱 (SEC) 和TIM4亲和方法证明了单个sEVs的特定检测.
这些方法可以阐明sEV生物发生调节剂,并检测罕见的标记物,如PD-L1.

结论:

通过流细胞计测,SEC和TIM4亲和方法提供了通过流细胞计测单个sEV的特定和敏感检测.
这些优化的制备技术对于推进对sEV亚群和生物发生的研究至关重要.
这些发现支持基于sEV的诊断和治疗方法的发展,特别是对于罕见疾病标志物.