Jana Čížková, Alžběta Filipová, Anna Carrillo, Marie Ehrlichová, Alžběta Spálenková, Alžbeta Magdolenová, Miroslav Hájek, Pavel Horák, Aneta Erbenova, Zuzana Šinkorová
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引用次数: 0
Abstract
The most commonly used flow cytometric (FCM) analysis of cellular DNA content relies on ethanol fixation followed by RNA digestion and propidium iodide (PI) intercalation into double-stranded DNA. This is a laborious and time-consuming procedure that is subject to systematic errors due to centrifugation and washing steps associated with sample preparation. It can adversely affect the reliability of the results. Here, we present a modified concept of DNA quantification in adherent cell lines by FCM that involves neither ethanol fixation nor any washing and cell transferring steps. Our high throughput assay of adherent cell lines reduces sample-processing time, requires minimal workload, provides a possibility for automation, and, if needed, also allows a significant reduction in the size of individual samples. Working with a well-proven commercial tool—The BD Cycletest™ Plus DNA Reagent Kit—primarily designed for cell cycle analysis and aneuploidy determination in experimental and clinical samples, we suggest a novel, very efficient, and robust approach for DNA research in adherent cell cultures.
最常用的流式细胞仪(FCM)分析细胞 DNA 含量的方法是先用乙醇固定,然后进行 RNA 消化和碘化丙啶(PI)插入双链 DNA。这是一个费时费力的过程,而且由于样本制备过程中的离心和清洗步骤,可能会出现系统误差。这会对结果的可靠性产生不利影响。在这里,我们提出了一种通过 FCM 对粘附细胞系进行 DNA 定量的改进概念,它既不涉及乙醇固定,也不涉及任何洗涤和细胞转移步骤。我们对粘附细胞系的高通量检测缩短了样品处理时间,所需工作量极小,为自动化提供了可能,如有需要,还能显著减少单个样品的大小。我们使用的 BD Cycletest™ Plus DNA 试剂盒是经过充分验证的商业工具,主要用于实验和临床样本的细胞周期分析和非整倍体测定。
期刊介绍:
Cytometry Part A, the journal of quantitative single-cell analysis, features original research reports and reviews of innovative scientific studies employing quantitative single-cell measurement, separation, manipulation, and modeling techniques, as well as original articles on mechanisms of molecular and cellular functions obtained by cytometry techniques.
The journal welcomes submissions from multiple research fields that fully embrace the study of the cytome:
Biomedical Instrumentation Engineering
Biophotonics
Bioinformatics
Cell Biology
Computational Biology
Data Science
Immunology
Parasitology
Microbiology
Neuroscience
Cancer
Stem Cells
Tissue Regeneration.