Analysis of bivariate flow karyotypes

Mammalian Chromosome Analysis and Sorting by Flow Cytometry

The analysis of chromosomes by flow cytometry is termed flow cytogenetics, and it involves the analysis and sorting of single mitotic chromosomes in suspension. The study of flow karyograms provides insight into chromosome number and structure to provide information on chromosomal DNA content and can enable the detection of deletions, translocations, or any forms of aneuploidy. Beyond its clinical applications, flow cytogenetics greatly contributed to the Human Genome Project through the ability to sort pure populations of chromosomes for gene mapping, cloning, and the construction of DNA libraries. Maximizing the potential of these important applications of flow cytogenetics relies on precise instrument setup and optimal sample processing, both of which impact the accuracy and quality of the data that are generated. This article is a compilation of the existing protocols that describe the stepwise methodology of accumulating, isolating, and staining metaphase chromosomes to prepare single-chromosome suspensions for flow cytometric analysis and sorting. Although the chromosome preparation protocols have remained largely unchanged, cytometer technology has advanced dramatically since these protocols were originally developed. Advances in cytometry technologies offer new and exciting approaches for understanding and monitoring chromosomal aberrations, but the hallmark of these protocols remains their simplicity in methodologies and reagent requirements and the accuracy of data resolvable to every chromosome of the cell. © 2023 The Authors. Current Protocols published by Wiley Periodicals LLC. Basic Protocol 1: Mitotic block and cell harvesting Basic Protocol 2: Propidium iodide isolation Support Protocol 1: Swelling test Basic Protocol 3: MgSO4 low-molecular-weight isolation Basic Protocol 4: Polyamine high-molecular-weight isolation Support Protocol 2: Molecular-weight determination of chromosomal DNA Basic Protocol 5: Chromosome analysis and sorting.

Derivative domain fitting: a new method for resolving a mixture of normal distributions in the presence of a contaminating background

Derivative domain least squares analysis is a new method for resolving multiple peaks superimposed on a slowly varying continuum into separate normal (Gaussian) distributions without developing a functional approximation for the continuum. The method is based on fitting the first derivative of the data with the first derivative of the sum of a series of normal distributions. A functional approximation for the continuum is not necessary as long as the first derivative of the continuum is approximately zero (i.e., the continuum varies slowly compared to the normal distributions).

Detection of recurrent chromosome abnormalities in Ewing's sarcoma and peripheral neuroectodermal tumor cells using bivariate flow karyotyping

Bivariate flow karyotyping can be used for the detection of recurrent chromosome abnormalities in tumor cells. For this purpose 2 cell lines originally derived from Ewing's sarcomas and 4 cell lines from peripheral neuroectodermal tumors were used. The characteristic t(11;22) was known to be present in 5 cell lines. The remaining cell line was known to have a variant t(2;11;22;21) translocation. Metaphase chromosomes were stained with the fluorescent dyes Hoechst 33258 and Chromomycin A3 and analyzed subsequently using bivariate flow cytometry. The resulting bivariate flow karyotypes of the tumor cells were normalized by a standardized procedure using a computerized method and compared with a reference flow karyotype of normal chromosomes. In 5 cell lines two recurring abnormal chromosome peaks were identified at positions expected for the der(11) and der(22) chromosomes characteristic for the reciprocal t(11;22)(q24;q12). In the remaining cell line with the variant t(2;11;22;21), only the peak representing the der(22) was identifiable. It is concluded that bivariate flow karyotyping can be used for the semiautomated detection of recurrent translocations and the assessment of their variability among different tumors.

Semi-automated detection of aberrant chromosomes in bivariate flow karyotypes

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.

Bivariate flow karyotyping of human chromosomes: evaluation of variation in Hoechst 33258 fluorescence, chromomycin A3 fluorescence, and relative chromosomal DNA content

The total variation of chromosome peak positions, in bivariate distributions of Hoechst 33258 and chromomycin A3 fluorescence of 19 healthy individuals, was compared with the experimental variation, determined from 23 bivariate distributions of chromosomes prepared separately from a single cell lineage. The experimental variation in Hoechst and chromomycin fluorescence and the relative chromosomal DNA content were determined from experiments performed over several days. The additional variance contributed by time was the same as the daily variance. The accuracy by which the relative chromosomal DNA content can be calculated from bivariate peak positions was investigated. A least squares method was used to fit the distributions of relative DNA content, obtained, respectively, from mono- and bivariate flow analyses of chromosomes from the same cell lineage. In general the DNA contents match quite well, but for a few chromosomes a difference was found, statistically discernible at the 5% level. The average relative chromosomal DNA content of the chromosomes from the 19 normal individuals, calculated from bivariate peak positions, showed a linear relation with the estimates published by other investigators.

Construction of gene libraries for each human chromosome

We describe the construction of two complete sets of small insert, complete digest DNA libraries for each of the 24 human chromosomal types by the National Laboratory Gene Library Project. Flow sorting was used to purify the chromosomes which provided the DNA for cloning. One set of libraries was cloned into the HindIII site of the lambda vector Charon 21A, and the other set was cloned into the EcoRI site of the same vector. Characterization information from both in-house experiments and user feedback is presented. These chromosome-specific libraries are available to the general scientific community from a repository at the American Type Culture Collection, Rockville, MD. The second phase of the project, the construction of large insert, partial digest libraries in both lambda and cosmid vectors, is underway.

Multivariate chromosome analysis and complete karyotyping using dual labeling and fluorescence digital imaging microscopy

The combination of multiple dye-DNA interactions, a fluorescence digital imaging system with a scientific CCD camera, and multivariate image analysis allows the rapid karyotyping of fluorescent human metaphase chromosome spreads. Chromosomes are stained with the bisbenzimidazole dye Hoechst 33342 and chromomycin A3, a dye pair used frequently in bivariate flow analysis and sorting of metaphase chromosomes in suspension. The use of ratio functions involving the total and peak intensities of the two dyes provides increased resolution of the karyotype in the microscope, and it can be anticipated that the same approach could lead to improved performance with flow systems as well. High pass filtering with a Laplace operator yields characteristic banded images of the individual chromosomes, even with total fields that are less than 200 pixels on a side.

A computer program for analyzing bivariate flow karyotypes

This article describes a computer program for analyzing bivariate flow karyotypes of human chromosomes stained with Hoechst 33258 (HO) and chromomycin A3 (CA). The karyotype first is divided into regions that contain chromosome peaks. The chromosomes that are associated with those areas are identified. The distributions in these areas then are fitted with mathematical functions of increasing complexity. The process starts by fitting a specified number of univariate Gauss functions to projections of the HO and CA distributions of each area. The final fit can include multiple bivariate Gauss functions, including a background function for debris subtraction. The results of one stage in the fitting process serve as seed values for the next, more complex step. Since the program autonomously estimates the starting values for the iterative fitting procedures, the fit results are insensitive to operator bias and the program will consistently converge to the same solutions. The resulting table of parameter values can be used to compare flow karyotypes to a reference data set.