Literature DB >> 27524557

Foundations of identifying individual chromosomes by imaging flow cytometry with applications in radiation biodosimetry.

Lindsay A Beaton-Green1, Matthew A Rodrigues2, Sylvie Lachapelle2, Ruth C Wilkins2.   

Abstract

Biodosimetry is an important tool for triage in the case of large-scale radiological or nuclear emergencies, but traditional microscope-based methods can be tedious and prone to scorer fatigue. While the dicentric chromosome assay (DCA) has been adapted for use in triage situations, it is still time-consuming to create and score slides. Recent adaptations of traditional biodosimetry assays to imaging flow cytometry (IFC) methods have dramatically increased throughput. Additionally, recent improvements in image analysis algorithms in the IFC software have resulted in improved specificity for spot counting of small events. In the IFC method for the dicentric chromosome analysis (FDCA), lymphocytes isolated from whole blood samples are cultured with PHA and Colcemid. After incubation, lymphocytes are treated with a hypotonic solution and chromosomes are isolated in suspension, labelled with a centromere marker and stained for DNA content with DRAQ5. Stained individual chromosomes are analyzed on the ImageStream®X (EMD-Millipore, Billerica, MA) and mono- and dicentric chromosome populations are identified and enumerated using advanced image processing techniques. Both the preparation of the isolated chromosome suspensions as well as the image analysis methods were fine-tuned in order to optimize the FDCA. In this paper we describe the method to identify and score centromeres in individual chromosomes by IFC and show that the FDCA method may further improve throughput for triage biodosimetry in the case of large-scale radiological or nuclear emergencies. Crown
Copyright © 2016. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Chromosome aberration; DNA; Dicentric chromosome assay; ImageStream®(X); Imaging flow cytometry; Radiation biodosimetry

Mesh:

Substances:

Year:  2016        PMID: 27524557     DOI: 10.1016/j.ymeth.2016.08.006

Source DB:  PubMed          Journal:  Methods        ISSN: 1046-2023            Impact factor:   3.608


  3 in total

1.  The in vitro micronucleus assay using imaging flow cytometry and deep learning.

Authors:  Matthew A Rodrigues; Christine E Probst; Artiom Zayats; Bryan Davidson; Michael Riedel; Yang Li; Vidya Venkatachalam
Journal:  NPJ Syst Biol Appl       Date:  2021-05-18

2.  Automation of the in vitro micronucleus assay using the Imagestream® imaging flow cytometer.

Authors:  Matthew A Rodrigues
Journal:  Cytometry A       Date:  2018-08-17       Impact factor: 4.355

3.  Screening of miRNAs in White Blood Cell as a Radiation Biomarkers for Rapid Assessment of Acute Radiation Injury.

Authors:  Jiaxun Li; Zhefan Shen; Wei Chen; Zhenlan Feng; Lan Fang; Jianpeng Zhao; Cong Liu; Jicong Du; Ying Cheng
Journal:  Dose Response       Date:  2022-09-16       Impact factor: 2.623

  3 in total

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