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通过流式细胞术分析微核细胞。1. 利用疟疾模型实现高分辨率。

Analysis of micronucleated cells by flow cytometry. 1. Achieving high resolution with a malaria model.

作者信息

Tometsko A M, Torous D K, Dertinger S D

机构信息

Litron Laboratories, Rochester, NY 14620.

出版信息

Mutat Res. 1993 Oct;292(2):129-35. doi: 10.1016/0165-1161(93)90140-u.

Abstract

Micronucleated cells (MN cells) are present in the blood as rare events (i.e. about 2 MN cells/1000 total). Scoring MN cells by hand is both time-consuming and tedious, which is the primary reason why only 1000-2000 total cells (PCEs) are routinely scored for each sample. It is generally recognized that scoring larger numbers of cells would improve assay statistics and is desirable, but impractical with hand-scoring. In contrast, automated scoring methods can process large numbers of cells, thus improving statistical analysis. In order to accurately and quickly evaluate clastogenic activity, we have developed a flow cytometry based method of scoring micronucleated cells. One of the first steps in developing an automated assay is to demonstrate the ability of the method to resolve the cells of interest. In this case, micronucleated cells must be resolved from DNA-deficient red blood cells (RBCs). Since micronuclei are heterogeneous rare events which vary in both size and DNA content, we chose to use a more enriched and homogeneous biological model for optimizing the experimental variables of this assay, leading to high resolution of the rare cells. Experiments are described in which the murine malaria parasite, P. berghei, served as a micronucleus model and facilitated the development of an accurate flow cytometry based scoring method. This parasite resides in the red blood cell population and endows the cells with a homogeneous (genetically determined) DNA component in the micronucleus size range. The conditions developed with the malaria parasite are readily applied to the analysis of micronucleus events in blood samples.(ABSTRACT TRUNCATED AT 250 WORDS)

摘要

微核细胞(MN细胞)在血液中含量稀少(即每1000个细胞中约有2个MN细胞)。手工计数MN细胞既耗时又繁琐,这就是每个样本通常仅对1000 - 2000个细胞(嗜多染红细胞,PCEs)进行计数的主要原因。人们普遍认为,对更多细胞进行计数会改善检测的统计学结果,这是可取的,但手工计数不切实际。相比之下,自动化计数方法可以处理大量细胞,从而改善统计分析。为了准确快速地评估致断裂活性,我们开发了一种基于流式细胞术的微核细胞计数方法。开发自动化检测方法的首要步骤之一是证明该方法分辨目标细胞的能力。在这种情况下,必须将微核细胞与DNA缺陷红细胞(RBCs)区分开来。由于微核是大小和DNA含量各异的异质性稀有事件,我们选择使用更富集且均一的生物学模型来优化该检测的实验变量,从而实现对稀有细胞的高分辨率分析。本文描述了相关实验,其中鼠疟原虫伯氏疟原虫用作微核模型,有助于开发一种基于流式细胞术的准确计数方法。这种寄生虫寄生于红细胞群体中,并使细胞在微核大小范围内具有均一的(由基因决定的)DNA成分。利用疟原虫建立的条件可直接应用于血液样本中微核事件的分析。(摘要截选至250词)

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