Heterochromatin is important for gene regulation and chromosome structure, but the genes that are occupied by heterochromatin proteins in the mammalian genome are largely unknown. We have adapted the DamID method to systematically identify target genes of the heterochromatin proteins HP1 and SUV39H1 in human and mouse cells. Unexpectedly, we found that CBX1 (formerly HP1β) and SUV39H1 bind to genes encoding KRAB domain containing zinc finger (KRAB-ZNF) transcriptional repressors. These genes constitute one of the largest gene families and are organized in clusters in the human genome. Preference of CBX1 for this gene family was observed in both human and mouse cells. High-resolution mapping on human chromosome 19 revealed that CBX1 coats large domains 0.1–4 Mb in size, which coincide with the position of KRAB-ZNF gene clusters. These domains show an intricate CBX1 binding pattern: While CBX1 is globally elevated throughout the domains, it is absent from the promoters and binds more strongly to the 3′ ends of KRAB-ZNF genes. KRAB-ZNF domains contain large numbers of LINE elements, which may contribute to CBX1 recruitment. These results uncover a surprising link between heterochromatin and a large family of regulatory genes in mammals. We suggest a role for heterochromatin in the evolution of the KRAB-ZNF gene family.
Abstract Chromosomes segregate differentially relative to distinct subnuclear structures, but this genome-wide compartmentalization, pivotal for modulating genome function, remains poorly understood. New genomic mapping methods can reveal chromosome positioning relative to specific nuclear structures. However, computational methods that integrate their results to identify overall intranuclear chromo-some positioning have not yet been developed. We report SPIN, a new method to identify genome-wide nuclear spatial localization patterns. As a proof-of-principle, we use SPIN to integrate nuclear compartment mapping (TSA-seq and DamID) and chromatin interaction data (Hi-C) from K562 cells to identify 10 spatial compartmentalization states genome-wide relative to nuclear speckles, lamina, and nucleoli. These SPIN states show novel patterns of genome spatial organization and their relation to genome function (transcription and replication timing). Comparisons of SPIN states with Hi-C sub-compartments and lamina-associated domains (LADs) from multiple cell types suggest constitutive compartmentalization patterns. By integrating different readouts of higher-order genome organization, SPIN provides critical insights into nuclear spatial and functional compartmentalization.