Conventional method to identify and classify individual chromosomes depends on the unique banding pattern of each chromosome in a specific species being analyzed (1, 2). This classical banding technique, however, is not reliable in identifying complex chromosomal aberrations such as those associated with cancer. To overcome the limitations of the banding technique, Spectral Karyotyping (SKY) is introduced to provide much reliable information on chromosome abnormalities. SKY is a multicolor fluorescence in-situ hybridization (FISH) technique to detect metaphase chromosomes with spectral microscope (3, 4). SKY has been proven to be a valuable tool for the cytogenetic analysis of a broad range of chromosome abnormalities associated with a large number of genetic diseases and malignancies (5, 6). SKY involves the use of multicolor fluorescently-labelled DNA probes prepared from the degenerate oligonucleotide primers by PCR. Thus, every chromosome has a unique spectral color after in-situ hybridization with probes, which are differentially labelled with a mixture of fluorescent dyes (Rhodamine, Texas Red, Cy5, FITC and Cy5.5). The probes used for SKY consist of up to 55 chromosome specific probes (7-10). The procedure for SKY involves several steps (Figure 1). SKY requires the availability of cells with high mitotic index from normal or diseased tissue or blood. The chromosomes of a single cell from either a freshly isolated primary cell or a cell line are spread on a glass slide. This chromosome spread is labeled with a different combination of fluorescent dyes specific for each chromosome. For probe detection and image acquisition,the spectral imaging system consists of sagnac interferometer and a CCD camera. This allows measurement of the visible light spectrum emitted from the sample and to acquire a spectral image from individual chromosomes. HiSKY, the software used to analyze the results of the captured images, provides an easy identification of chromosome anomalies. The end result is a metaphase and a karyotype classification image, in which each pair of chromosomes has a distinct color (Figure 2). This allows easy identification of chromosome identities and translocations. For more details, please visit Applied Spectral Imaging website (http://www.spectral-imaging.com/). SKY was recently used for an identification of chromosome segregation defects and chromosome abnormalities in humans and mice with Autosomal Dominant Polycystic Kidney Disease (ADPKD), a genetic disease characterized by dysfunction in primary cilia (11-13). Using this technique, we demonstrated the presence of abnormal chromosome segregation and chromosomal defects in ADPKD patients and mouse models (14). Further analyses using SKY not only allowed us to identify chromosomal number and identity, but also to accurately detect very complex chromosomal aberrations such as chromosome deletions and translocations (Figure 2).
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http://dx.doi.org/10.3791/3887 | DOI Listing |
Autoimmun Rev
January 2025
Division of Rheumatology, Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil; Fleury Medicine and Health, Fleury Group, São Paulo, SP, Brazil. Electronic address:
Recent advances in genomic methodologies have significantly enhanced our understanding of immune-mediated rheumatic diseases. Specific structural variants (SVs), such as substantial DNA deletions or insertions, including chromosomal aberrations, have been implicated in diseases of immune dysregulation. Regrettably, SVs are frequently overlooked in next-generation sequencing (NGS) targeted-gene panels, whole exome sequencing (WES) and whole genome sequencing (WGS).
View Article and Find Full Text PDFClin Chem
January 2025
Department of Pathology, University of Utah School of Medicine, Salt Lake City, UT, United States.
Background: Structural variation (SV), defined as balanced and unbalanced chromosomal rearrangements >1 kb, is a major contributor to germline and neoplastic disease. Large variants have historically been evaluated by chromosome analysis and now are commonly recognized by chromosomal microarray analysis (CMA). The increasing application of genome sequencing (GS) in the clinic and the relatively high incidence of chromosomal abnormalities in sick newborns and children highlights the need for accurate SV interpretation and reporting.
View Article and Find Full Text PDFClin Chem
January 2025
Prenatal Genomics and Therapy Section, Center for Precision Health Research, National Human Genome Institute, National Institutes of Health, Bethesda, MD, United States.
Background: Prenatal cell-free DNA (cfDNA) screening is a success story of clinical genomics that has translated to and transformed obstetric care. It is a highly sensitive and specific method of screening for the most common fetal aneuploidies, including trisomies 13, 18, and 21. While primarily designed to detect fetal chromosomal abnormalities, the test also analyzes maternal cfDNA, which can complicate interpretation of results.
View Article and Find Full Text PDFOman Med J
July 2024
Division of Endocrinology, Tawam Hospital, Al Ain, UAE.
Acute myeloid leukemia (AML) is rarely associated with central diabetes insipidus (CDI) with unclear underlying pathophysiological mechanisms. The most commonly reported cytogenetic abnormality in cases of AML-associated CDI is monosomy 7, followed by chromosome 3 abnormalities. We report a case of a woman with newly diagnosed AML with 9q34 deletion ( gene region), who developed symptoms of polyuria and polydipsia with an investigation confirming CDI.
View Article and Find Full Text PDFNat Commun
January 2025
Volastra Therapeutics, New York, NY, USA.
Chromosome instability is a prevalent vulnerability of cancer cells that has yet to be fully exploited therapeutically. To identify genes uniquely essential to chromosomally unstable cells, we mined the Cancer Dependency Map for genes essential in tumor cells with high levels of copy number aberrations. We identify and validate KIF18A, a mitotic kinesin, as a vulnerability of chromosomally unstable cancer cells.
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