Semi-automated detection of aberrant chromosomes in 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.

Flow Cytometric Analysis and Sorting of Plant Chromosomes

Flow cytometry offers a unique way of analyzing and manipulating plant chromosomes. During a rapid movement in a liquid stream, large populations can be classified in a short time according to their fluorescence and light scatter properties. Chromosomes whose optical properties differ from other chromosomes in a karyotype can be purified by flow sorting and used in a range of applications in cytogenetics, molecular biology, genomics, and proteomics. As the samples for flow cytometry must be liquid suspensions of single particles, intact chromosomes must be released from mitotic cells. This protocol describes a procedure for preparation of suspensions of mitotic metaphase chromosomes from meristem root tips and their flow cytometric analysis and sorting for various downstream applications.

Chromosome analysis and sorting

Flow cytometric analysis and sorting of plant mitotic chromosomes has been mastered by only a few laboratories worldwide. Yet, it has been contributing significantly to progress in plant genetics, including the production of genome assemblies and the cloning of important genes. The dissection of complex genomes by flow sorting into the individual chromosomes that represent small parts of the genome reduces DNA sample complexity and streamlines projects relying on molecular and genomic techniques. Whereas flow cytometric analysis, that is, chromosome classification according to fluorescence and light scatter properties, is an integral part of any chromosome sorting project, it has rarely been used on its own due to lower resolution and sensitivity as compared to other cytogenetic methods. To perform chromosome analysis and sorting, commercially available electrostatic droplet sorters are suitable. However, in order to resolve and purify chromosomes of interest the instrument must offer high resolution of optical signals as well as stability during long runs. The challenge is thus not the instrumentation, but the adequate sample preparation. The sample must be a suspension of intact mitotic metaphase chromosomes and the protocol, which includes the induction of cell cycle synchrony, accumulation of dividing cells at metaphase, and release of undamaged chromosomes, is time consuming and laborious and needs to be performed very carefully. Moreover, in addition to fluorescent staining chromosomal DNA, the protocol may include specific labelling of DNA repeats to facilitate discrimination of particular chromosomes. This review introduces the applications of chromosome sorting in plants, and discusses in detail sample preparation, chromosome analysis and sorting to achieve the highest purity in flow-sorted fractions, and their suitability for downstream applications.

Flow Analysis and Sorting of Plant Chromosomes

Analysis and sorting of plant chromosomes (plant flow cytogenetics) is a special application of flow cytometry in plant genomics and its success depends critically on sample quality. This unit describes the methodology in a stepwise manner, starting with the induction of cell cycle synchrony and accumulation of dividing cells in mitotic metaphase, and continues with the preparation of suspensions of intact mitotic chromosomes, flow analysis and sorting of chromosomes, and finally processing of the sorted chromosomes. Each step of the protocol is described in detail as some procedures have not been used widely. Supporting histograms are presented as well as hints on dealing with plant material; the utility of sorted chromosomes for plant genomics is also discussed. © 2016 by John Wiley & Sons, Inc.

Chromosomes in the flow to simplify genome analysis

Nuclear genomes of human, animals, and plants are organized into subunits called chromosomes. When isolated into aqueous suspension, mitotic chromosomes can be classified using flow cytometry according to light scatter and fluorescence parameters. Chromosomes of interest can be purified by flow sorting if they can be resolved from other chromosomes in a karyotype. The analysis and sorting are carried out at rates of 10(2)-10(4) chromosomes per second, and for complex genomes such as wheat the flow sorting technology has been ground-breaking in reducing genome complexity for genome sequencing. The high sample rate provides an attractive approach for karyotype analysis (flow karyotyping) and the purification of chromosomes in large numbers. In characterizing the chromosome complement of an organism, the high number that can be studied using flow cytometry allows for a statistically accurate analysis. Chromosome sorting plays a particularly important role in the analysis of nuclear genome structure and the analysis of particular and aberrant chromosomes. Other attractive but not well-explored features include the analysis of chromosomal proteins, chromosome ultrastructure, and high-resolution mapping using FISH. Recent results demonstrate that chromosome flow sorting can be coupled seamlessly with DNA array and next-generation sequencing technologies for high-throughput analyses. The main advantages are targeting the analysis to a genome region of interest and a significant reduction in sample complexity. As flow sorters can also sort single copies of chromosomes, shotgun sequencing DNA amplified from them enables the production of haplotype-resolved genome sequences. This review explains the principles of flow cytometric chromosome analysis and sorting (flow cytogenetics), discusses the major uses of this technology in genome analysis, and outlines future directions.

Chromosome analysis and sorting using flow cytometry

Chromosome analysis and sorting using flow cytometry (flow cytogenetics) is an attractive tool for fractionating plant genomes to small parts. The reduction of complexity greatly simplifies genetics and genomics in plant species with large genomes. However, as flow cytometry requires liquid suspensions of particles, the lack of suitable protocols for preparation of solutions of intact chromosomes delayed the application of flow cytogenetics in plants. This chapter outlines a high-yielding procedure for preparation of solutions of intact mitotic chromosomes from root tips of young seedlings and for their analysis using flow cytometry and sorting. Root tips accumulated at metaphase are mildly fixed with formaldehyde, and solutions of intact chromosomes are prepared by mechanical homogenization. The advantages of the present approach include the use of seedlings, which are easy to handle, and the karyological stability of root meristems, which can be induced to high degree of metaphase synchrony. Chromosomes isolated according to this protocol have well-preserved morphology, withstand shearing forces during sorting, and their DNA is intact and suitable for a range of applications.

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

Karyotyping is an important process to classify chromosomes into standard classes and the results are routinely used by the clinicians to diagnose cancers and genetic diseases. However, visual karyotyping using microscopic images is time-consuming and tedious, which reduces the diagnostic efficiency and accuracy. Although many efforts have been made to develop computerized schemes for automated karyotyping, no schemes can get be performed without substantial human intervention. Instead of developing a method to classify all chromosome classes, we develop an automatic scheme to detect abnormal metaphase cells by identifying a specific class of chromosomes (class 22) and prescreen for suspicious chronic myeloid leukemia (CML). The scheme includes three steps: (1) iteratively segment randomly distributed individual chromosomes, (2) process segmented chromosomes and compute image features to identify the candidates, and (3) apply an adaptive matching template to identify chromosomes of class 22. An image data set of 451 metaphase cells extracted from bone marrow specimens of 30 positive and 30 negative cases for CML is selected to test the scheme's performance. The overall case-based classification accuracy is 93.3% (100% sensitivity and 86.7% specificity). The results demonstrate the feasibility of applying an automated scheme to detect or prescreen the suspicious cancer cases.

Advanced preparative techniques to establish probes for molecular cytogenetics

The methods covered in this unit include flow cytometry of metaphase chromosomes, chromosome dissection, and the DOP-PCR amplification methods for reverse chromosome painting. Successful application in these areas requires care and attention to methodological details, and this unit is particularly comprehensive.

Flow analysis and sorting of plant chromosomes

The use of flow cytometry for evaluation of plant chromosomes requires some specialized attention to preparation and instrumentation. This unit deals exclusively with plant cytogenetics and presents an outline of this area as well as methods for accumulation of cells in metaphase, preparation of chromosome suspensions, flow analysis and sorting of chromosomes, and processing of the sorted chromosomes. Each method is described in tremendous detail because in many aspects dealing with plant cells is quite different from dealing with mammalian cells. Supporting histograms are presented as well as a range of special hints on dealing with plant material and a discussion of the utility of sorted chromosomes for plant genome mapping.

Automated identification of analyzable metaphase chromosomes depicted on microscopic digital images

Visual search and identification of analyzable metaphase chromosomes using optical microscopes is a very tedious and time-consuming task that is routinely performed in genetic laboratories to detect and diagnose cancers and genetic diseases. The purpose of this study is to develop and test a computerized scheme that can automatically identify chromosomes in metaphase stage and classify them into analyzable and un-analyzable groups. Two independent datasets involving 170 images are used to train and test the scheme. The scheme uses image filtering, threshold, and labeling algorithms to detect chromosomes, followed by computing a set of features for each individual chromosome as well as for each identified metaphase cell. Two machine learning classifiers including a decision tree (DT) based on the features of individual chromosomes and an artificial neural network (ANN) using the features of the metaphase cells are optimized and tested to classify between analyzable and un-analyzable cells. Using the DT based classifier the Kappa coefficients for agreement between the cytogeneticist and the scheme are 0.83 and 0.89 for the training and testing datasets, respectively. We apply an independent testing and a 2-fold cross-validation method to assess the performance of the ANN-based classifier. The area under and receiver operating characteristic (ROC) curve is 0.93 for the complete dataset. This preliminary study demonstrates the feasibility of developing a computerized scheme to automatically identify and classify metaphase chromosomes.

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

The aim of this study was to develop an improved procedure for preparation of chromosome suspensions, and to evaluate the potential of flow cytometry for chromosome sorting in wheat. Suspensions of intact chromosomes were prepared by mechanical homogenization of synchronized root tips after mild fixation with formaldehyde. Histograms of relative fluorescence intensity (flow karyotypes) obtained after the analysis of DAPI-stained chromosomes were characterized and the chromosome content of all peaks on wheat flow karyotype was determined for the first time. Only chromosome 3B could be discriminated on flow karyotypes of wheat lines with standard karyotype. Remaining chromosomes formed three composite peaks and could be sorted only as groups. Chromosome 3B could be sorted at purity >95% as determined by microscopic evaluation of sorted fractions that were labeled using C-PRINS with primers for GAA microsatellites and for Afa repeats, respectively. Chromosome 5BL/7BL could be sorted in two wheat cultivars at similar purity, indicating a potential of various wheat stocks for sorting of other chromosome types. PCR with chromosome-specific primers confirmed the identity of sorted fractions and suitability of flow-sorted chromosomes for physical mapping and for construction of small-insert DNA libraries. Sorted chromosomes were also found suitable for the preparation of high-molecular-weight DNA. On the basis of these results, it seems realistic to propose construction of large-insert chromosome-specific DNA libraries in wheat. The availability of such libraries would greatly simplify the analysis of the complex wheat genome.

Slit-scanning technique using standard cell sorter instruments for analyzing and sorting nonacrocentric human chromosomes, including small ones

We have investigated the performance of two types of standard flow cell sorter instruments, a System 50 Cytofluorograph and a FACSTar PLUS cell sorter, for the on-line centromeric index (CI) analysis of human chromosomes. To optimize the results, we improved the detection efficiency for centromeres in two ways. A higher efficiency was obtained first by elongation of the chromosomes and second by introducing a high resolution lens system for laser beam focusing. In the two-parameter flow karyotype of CI and DNA content of human chromosomes, distinct peaks are produced not only by the larger chromosomes 1-8 and X, but by the smaller nonacrocentric chromosomes 9-12 and 16-20 as well. As the chromosomes 9-12 cannot be distinguished by other flow karyotyping methods, we discriminated and sorted chromosomes 12 and 10 from 9 and 11 to investigate the capacity for the separation of chromosomes in this group. A purity of at least 90% was achieved; in the isolated population the fraction chromosomes 12 was 55%; the remaining 45% were chromosomes 10 (40%) and unidentifiable chromosomes (5%).

Identification of a tumor marker chromosome by flow sorting, DNA amplification in vitro, and in situ hybridization of the amplified product

A method combining flow sorting and molecular cytogenetic techniques for the identification of unknown marker chromosomes is described. In this study, the bladder tumor cell line J82 was used, which was known to carry a marker chromosome of the size of chromosome 7 in every cell. From the cytogenetic analysis of Q-banded metaphase cells, it was shown to be composed of approximately 40% presumably the greater part of chromosome 20 and for the rest microscopically unidentifiable material. This marker chromosome was found using flow cytometric analysis to form an independent peak and hence was suitable for isolation using dual-parameter sorting after staining with Hoechst 33258 and chromomycin A3. Subsequently, the marker was isolated by dual-parameter sorting. DNA amplification of 300 isolated chromosomes by polymerase chain reaction (PCR) using the Alu-primer Bk33 and the LINES-primer LH5 was carried out. After purification of the amplified product, a yield of 5 microns of DNA was obtained. The DNA was labelled using Bio-11-dUTP and applied to human lymphocyte metaphase cells in a suppressive in situ hybridization procedure. Fluorescence was visible over chromosome 20 and over the distal one-half of 6p. Together the fluorescent regions accounted for only approximately 60% of the marker length, indicating a possible duplication of chromosome 20 material. This was confirmed by applying bicolor in situ hybridization using chromosome 6- and 20-specific DNA libraries to metaphase cells of the J82 cells.

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.