Literature DB >> 1633726

Semi-automated detection of aberrant chromosomes in bivariate flow karyotypes.

G A Boschman1, E M Manders, W Rens, R Slater, J A Aten.   

Abstract

A method is described that is designed to compare, in a standardized procedure, bivariate flow karyotypes of Hoechst 33258 (HO)/Chromomycin A3 (CA) stained human chromosomes from cells with aberrations with a reference flow karyotype of normal chromosomes. In addition to uniform normalization of normal and abnormal flow karyotypes, the main purpose is detection of structurally abnormal chromosomes in often complex karyotypes of tumor cells. The method, which has been implemented in a computer program, consists of a comparison of individual chromosome peaks with the positions of peaks in the flow karyotype constituted by normal chromosomes and takes into account the natural variability in base composition of normal chromosomes among healthy individuals. Flow-karyotypes are normalized using an iterative fitting procedure, using corrections for (1) amplification of HO and CA fluorescence, (2) cross-talk between the fluorescence signals of HO and CA, and (3) offset of the HO and CA origin. Flow karyotypes of two cell lines, one with a simple deletion and the other with more complex karyotypic changes, were analyzed. The results of flow analysis were found to be in general agreement with the cytogenetic analysis of quinacrine banded karyotypes.

Entities:  

Mesh:

Substances:

Year:  1992        PMID: 1633726     DOI: 10.1002/cyto.990130504

Source DB:  PubMed          Journal:  Cytometry        ISSN: 0196-4763


  6 in total

Review 1.  Flow cytogenetics and plant genome mapping.

Authors:  Jaroslav Dolezel; Marie Kubaláková; Jan Bartos; Jirí Macas
Journal:  Chromosome Res       Date:  2004       Impact factor: 5.239

2.  Automated identification of analyzable metaphase chromosomes depicted on microscopic digital images.

Authors:  Xingwei Wang; Shibo Li; Hong Liu; Marc Wood; Wei R Chen; Bin Zheng
Journal:  J Biomed Inform       Date:  2007-07-10       Impact factor: 6.317

3.  Flow sorting of mitotic chromosomes in common wheat (Triticum aestivum L.).

Authors:  J Vrána; M Kubaláková; H Simková; J Cíhalíková; M A Lysák; J Dolezel
Journal:  Genetics       Date:  2000-12       Impact factor: 4.562

4.  Automated identification of abnormal metaphase chromosome cells for the detection of chronic myeloid leukemia using microscopic images.

Authors:  Xingwei Wang; Bin Zheng; Shibo Li; John J Mulvihill; Xiaodong Chen; Hong Liu
Journal:  J Biomed Opt       Date:  2010 Jul-Aug       Impact factor: 3.170

Review 5.  Chromosomes in the flow to simplify genome analysis.

Authors:  Jaroslav Doležel; Jan Vrána; Jan Safář; Jan Bartoš; Marie Kubaláková; Hana Simková
Journal:  Funct Integr Genomics       Date:  2012-08-16       Impact factor: 3.410

Review 6.  Chromosome analysis and sorting.

Authors:  Jaroslav Doležel; Sergio Lucretti; István Molnár; Petr Cápal; Debora Giorgi
Journal:  Cytometry A       Date:  2021-02-21       Impact factor: 4.355

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.