Chromosomes inside the nucleus are not located in the form of linear molecules. Instead, there is a complex multilevel genome folding that includes nucleosomes packaging, formation of chromatin loops, domains, compartments, and finally, chromosomal territories. Proper spatial organization play an essential role for the correct functioning of the genome, and is therefore dynamically changed during development or disease. Here we discuss how the organization of the cancer cell genome differs from the healthy genome at various levels. A better understanding of how malignization affects genome organization and long-range gene regulation will help to reveal the molecular mechanisms underlying cancer development and evolution.

DNA methylation is an essential epigenetic regulation mechanism implicated in transcription and replication control, developmental reprogramming, retroelements silencing and other genomic processes. During mammalian development, a specific DNA methylation pattern should be established in germ cells to allow embryonic development. Less is known about germ cell DNA methylation in other species. To close this gap, we performed a single-cell methylome analysis of chicken diplotene oocytes. We comprehensively characterized methylation patterns in these cells, obtained methylation-based chicken genome segmentation and identified oocyte-specific methylated gene promoters. Our data show that despite the formation of specific transcriptionally hyperactive genome architecture in chicken diplotene oocytes, methylation patterns in these cells closely resemble genomic distribution observed in somatic tissues.

Effective molecular diagnosis of congenital diseases hinges on comprehensive genomic analysis, traditionally reliant on various methodologies specific to each variant type—whole exome or genome sequencing for single nucleotide variants (SNVs), array CGH for copy-number variants (CNVs), and microscopy for structural variants (SVs). We introduce a novel, integrative approach combining exome sequencing with chromosome conformation capture, termed Exo-C. This method enables the concurrent identification of SNVs in clinically relevant genes and SVs across the genome and allows analysis of heterozygous and mosaic carriers. Enhanced with targeted long-read sequencing, Exo-C evolves into a cost-efficient solution capable of resolving complex SVs at base-pair accuracy. Applied to 66 human samples Exo-C achieved 100% recall and 73% precision in detecting chromosomal translocations and SNVs. We further benchmarked its performance for inversions and CNVs and demonstrated its utility in detecting mosaic SVs and resolving diagnostically challenging cases. Through several case studies, we demonstrate how Exo-C’s multifaceted application can effectively uncover diverse causative variants and elucidate disease mechanisms in patients with rare disorders.

Human induced pluripotent stem cell (iPSC) line, ICGi040-A, was obtained from skin fibroblasts derived from a male patient with mosaic ring small supernumerary marker chromosome 4 (sSMS(4)) and infertility. ICGi040-A cells have karyotype 47,XY,+r(4) in 97% of cells and express a set of pluripotent markers, as well as are able to differentiate in vitro into derivatives of all three embryonic germ layers.

Ring chromosomes are structural aberrations commonly associated with disease phenotype. We consider necessary to create the iPSCs with a ring chromosome 8, which can be used for disease modeling and related research. The ICGi025-A iPSCs line was obtained by the reprogramming of the skin fibroblasts from a 1-year-old boy with 46,XY,r(8)/45,XY,-8 mosaicism, developmental delay, microcephaly, dysmorphic features, diffuse muscle hypotonia, moderate proximal muscle weakness, feeding problems, and motor alalia. The iPSCs had expression of the pluripotency-associated markers. In vitro differentiated cells expressed the markers of the cells of three germ layers. That data allowed us to conclude that ICGi025-A cells were pluripotent.