Literature DB >> 21889997

A rapid, semi-automated method for scoring micronuclei in mononucleated mouse lymphoma cells.

Ann T Doherty1, Julie Hayes, Mick Fellows, Sarah Kirk, Mike O'Donovan.   

Abstract

A semi-automated scoring system has been developed to provide rapid, accurate assessment of micronuclei in preparations of mononuclear mouse lymphoma L5178Y cells. Following exposure to a range of test agents, flat, single-cell preparations were produced from exponentially growing cultures by cytocentrifugation. Following staining with 4'-6-diamidino-2-phenylindole (DAPI), cells were scanned by use of the MicroNuc module of Metafer 4 v 3.4.102, after modifying the classifier developed for selecting micronuclei in binucleate cells to increase its sensitivity. The image gallery of all cells was then sorted to bring aberrant cells to the top of the gallery to assess visually the numbers of cells with micronuclei, as distinct from other debris. Slide quality was shown to be paramount in obtaining accurate results from an automated scan and the data obtained compared very well with the incidence of micronuclei scored conventionally by microscopy. Compared with manual scoring the time saving is considerable, as more than 2000 images are captured in approximately 2min, with subsequent visual assessment of aberrant cells in the image gallery taking about 1-2min/slide. By scanning all aberrant cells, the system also captures additional information on necrotic, apoptotic and fragmented cells. Although optimised for mouse lymphoma cells, it should be simple to adapt the method for any cell type growing in suspension.
Copyright © 2011. Published by Elsevier B.V.

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Year:  2011        PMID: 21889997     DOI: 10.1016/j.mrgentox.2011.08.002

Source DB:  PubMed          Journal:  Mutat Res        ISSN: 0027-5107            Impact factor:   2.433


  3 in total

Review 1.  Utility of a next-generation framework for assessment of genomic damage: A case study using the pharmaceutical drug candidate etoposide.

Authors:  John Nicolette; Mirjam Luijten; Jennifer C Sasaki; Laura Custer; Michelle Embry; Roland Froetschl; George Johnson; Gladys Ouedraogo; Raja Settivari; Veronique Thybaud; Kerry L Dearfield
Journal:  Environ Mol Mutagen       Date:  2021-11-22       Impact factor: 3.579

2.  Rapid and automatic detection of micronuclei in binucleated lymphocytes image.

Authors:  Xiang Shen; Ying Chen; Chaowen Li; Fucheng Yang; Zhanbo Wen; Jinlin Zheng; Zhenggan Zhou
Journal:  Sci Rep       Date:  2022-03-10       Impact factor: 4.379

3.  Evaluation of the automated MicroFlow® and Metafer™ platforms for high-throughput micronucleus scoring and dose response analysis in human lymphoblastoid TK6 cells.

Authors:  Jatin R Verma; Benjamin J Rees; Eleanor C Wilde; Catherine A Thornton; Gareth J S Jenkins; Shareen H Doak; George E Johnson
Journal:  Arch Toxicol       Date:  2016-12-10       Impact factor: 6.168

  3 in total

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