Spatial positioning is a fundamental principle governing nuclear processes. Chromatin is organized as a hierarchy from nucleosomes to Mbp chromatin domains (CD) or topologically associating domains (TADs) to higher level compartments culminating in chromosome territories (CT). Microscopic and sequencing techniques have substantiated chromatin organization as a critical factor regulating gene expression. For example, enhancers loop back to interact with their target genes almost exclusively within TADs, distally located coregulated genes reposition into common transcription factories upon activation, and Mbp CDs exhibit dynamic motion and configurational changes in vivo. A longstanding question in the nucleus field is whether an interactive nuclear matrix provides a direct link between structure and function. The findings of nonrandom radial positioning of CT within the nucleus suggest the possibility of preferential interaction patterns among populations of CT. Sequential labeling up to 10 CT followed by application of computer imaging and geometric graph mining algorithms revealed cell‐type specific interchromosomal networks (ICN) of CT that are altered during the cell cycle, differentiation, and cancer progression. It is proposed that the ICN correlate with the global level of genome regulation. These approaches also demonstrated that the large scale 3‐D topology of CT is specific for each CT. The cell‐type specific proximity of certain chromosomal regions in normal cells may explain the propensity of distinct translocations in cancer subtypes. Understanding how genes are dysregulated upon disruption of the normal “wiring” of the nucleus by translocations, deletions, and amplifications that are hallmarks of cancer, should enable more targeted therapeutic strategies.

Despite decades of study of chromosome territories (CT) in the interphase nucleus of mammalian cells, our understanding of the global shape and 3-D organization of the individual CT remains very limited. Past microscopic analysis of CT suggested that, while many of the CT appear to be very regular ellipsoid-like shapes, there were also those with more irregular shapes. We have undertaken a comprehensive analysis to determine the degree of shape regularity of different CT. To be representative of the whole human genome, 12 different CT (~41% of the genome) were selected that ranged from the largest (CT 1) to the smallest (CT 21) in size and from the highest (CT 19) to lowest (CT Y) in gene density. Using both visual inspection and algorithms that measure the degree of shape ellipticity and regularity, we demonstrate a strong inverse correlation between the degree of regular CT shape and gene density for those CT that are most gene rich (19, 17, 11) and gene poor (18, 13, Y). CT more intermediate in gene density, showed a strong negative correlation with shape regularity but not with ellipticity. An even more striking correlation between gene density and CT shape was determined for the nucleolar associated NOR-CT. Correspondingly striking differences in shape between the X active and inactive CT implied that, aside from gene density, the overall global level of gene transcription on individual CT is also an important determinant of chromosome territory shape.

There is growing evidence that chromosome territories (CT) have a probabilistic non-random arrangement within the cell nucleus of mammalian cells including radial positioning and preferred patterns of interchromosomal interactions that are cell-type specific. While it is generally assumed that the three-dimensional (3D) arrangement of genes within the CT is linked to genomic regulation, the degree of non-random organization of individual CT remains unclear. As a first step to elucidating the global 3D organization (topology) of individual CT, we performed multi-color fluorescence in situ hybridization using six probes extending across each chromosome in human WI38 lung fibroblasts. Six CT were selected ranging in size and gene density (1, 4, 12, 17, 18 and X). In-house computational geometric algorithms were applied to measure the 3D distances between every combination of probes and to elucidate data-mined structural patterns. Our findings demonstrate a high degree of non-random arrangement of individual CT that vary from chromosome to chromosome and display distinct changes during the cell cycle. Application of a classic, well-defined data mining and pattern recognition approach termed the 'k-means' generated 3D models for the best fit arrangement of each chromosome. These predicted models correlated well with the detailed distance measurements and analysis. We propose that the unique 3D topology of each CT and characteristic changes during the cell cycle provide the structural framework for the global gene expression programs of the individual chromosomes.

Clustered regularly interspaced short palindromic repeats (CRISPR) are a revolutionary tool based on a bacterial acquired immune response system. CRISPR has gained widespread use for gene editing in a variety of organisms and is an increasingly valuable tool for basic genetic research, with far-reaching implications for medicine, agriculture, and industry. This lab is based on the premise that upper division undergraduate students enrolled in a Life Sciences curriculum must become familiar with cutting edge advances in biotechnology that have significant impact on society. Toward this goal, we developed a new hands-on laboratory exercise incorporating the use of CRISPR-Cas9 and homology directed repair (HDR) to edit two well-characterized genes in the budding yeast, Saccharomyces cerevisiae. The two genes edited in this exercise, Adenine2 (ADE2) and Sterile12 (STE12) affect metabolic and developmental processes, respectively. Editing the premature stop codons in these genes results in clearly identifiable phenotypes that can be assessed by students in a standard laboratory course setting. Making use of this basic eukaryotic model organism facilitates a laboratory exercise that is inexpensive, simple to organize, set up, and present to students. This exercise enables undergraduate students to initiate and follow-up on all stages of the CRISPR gene editing process, from identification of guide RNAs, amplification of an appropriate HDR fragment, and analysis of mutant phenotypes. The organization of this protocol also allows for easy modification, providing additional options for editing any expressed genes within the yeast genome to produce new mutations, or recovery of existing mutants to wild type.

The well-established human epidermal keratinocyte (HEK) differentiation model was investigated to determine possible alterations in chromosome territory (CT) association during differentiation. The seven human chromosomes (1, 4, 11, 12, 16, 17, and 18) selected for this analysis are representative of the chromosome size and gene density range of the overall human genome as well as including a majority of genes involved in epidermal development and differentiation (CT1, 12, and 17). Induction with calcium chloride (Ca(2+)) resulted in morphological changes characteristic of keratinocyte differentiation. Combined multi-fluorescence in situ hybridization (FISH) and computational image analysis on the undifferentiated (0 h) and differentiated (24 h after Ca(2+) treatment) HEK revealed that (a) increases in CT volumes correspond to overall nuclear volume increases, (b) radial positioning is gene density-dependent at 0 h but neither gene density- nor size-dependent at 24 h, (c) the average number of interchromosomal associations for each CT is gene density-dependent and similar at both time points, and (d) there are striking differences in the single and multiple pairwise interchromosomal association profiles. Probabilistic network models of the overall interchromosomal associations demonstrate major reorganization of the network during differentiation. Only ~40 % of the CT pairwise connections in the networks are common to both 0 and 24 h HEK. We propose that there is a probabilistic chromosome positional code which can be significantly altered during cell differentiation in coordination with reprogramming of gene expression.