Suppr超能文献

一种基于显微镜的自动化肠道细菌菌群计数方法的开发与验证

Development and validation of an automated, microscopy-based method for enumeration of groups of intestinal bacteria.

作者信息

Jansen G J, Wildeboer-Veloo A C, Tonk R H, Franks A H, Welling G W

机构信息

Department of Medical Microbiology, University of Groningen, The Netherlands.

出版信息

J Microbiol Methods. 1999 Sep;37(3):215-21. doi: 10.1016/s0167-7012(99)00049-4.

Abstract

An automated microscopy-based method using fluorescently labelled 16S rRNA-targeted oligonucleotide probes directed against the predominant groups of intestinal bacteria was developed and validated. The method makes use of the Leica 600HR image analysis system, a Kodak MegaPlus camera model 1.4 and a servo-controlled Leica DM/RXA ultra-violet microscope. Software for automated image acquisition and analysis was developed and tested. The performance of the method was validated using a set of four fluorescent oligonucleotide probes: a universal probe for the detection of all bacterial species, one probe specific for Bifidobacterium spp., a digenus-probe specific for Bacteroides spp. and Prevotella spp. and a trigenus-probe specific for Ruminococcus spp., Clostridium spp. and Eubacterium spp. A nucleic acid stain, 4',6-diamidino-2-phenylindole (DAPI), was also included in the validation. In order to quantify the assay-error, one faecal sample was measured 20 times using each separate probe. Thereafter faecal samples of 20 different volunteers were measured following the same procedure in order to quantify the error due to individual-related differences in gut flora composition. It was concluded that the combination of automated microscopy and fluorescent whole-cell hybridisation enables distinction in gut flora-composition between volunteers at a significant level. With this method it is possible to process 48 faecal samples overnight, with coefficients of variation ranging from 0.07 to 0.30.

摘要

开发并验证了一种基于自动显微镜的方法,该方法使用针对肠道细菌主要菌群的荧光标记16S rRNA靶向寡核苷酸探针。该方法利用了徕卡600HR图像分析系统、柯达MegaPlus 1.4型相机和伺服控制的徕卡DM/RXA紫外显微镜。开发并测试了用于自动图像采集和分析的软件。使用一组四种荧光寡核苷酸探针验证了该方法的性能:一种用于检测所有细菌种类的通用探针、一种针对双歧杆菌属的特异性探针、一种针对拟杆菌属和普雷沃氏菌属的双属特异性探针以及一种针对瘤胃球菌属、梭菌属和真杆菌属的三属特异性探针。验证中还包括一种核酸染色剂4',6-二脒基-2-苯基吲哚(DAPI)。为了量化测定误差,使用每种单独的探针对一份粪便样本进行了20次测量。此后,按照相同程序对20名不同志愿者的粪便样本进行测量,以量化由于肠道菌群组成的个体差异导致的误差。得出的结论是,自动显微镜和荧光全细胞杂交的结合能够在显著水平上区分志愿者之间的肠道菌群组成。使用这种方法,一夜之间可以处理48份粪便样本,变异系数范围为0.07至

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验