We report for the first time the genomics of a nuclear compartment of the eukaryotic cell. 454 sequencing and microarray analysis revealed the pattern of nucleolus-associated chromatin domains (NADs) in the linear human genome and identified different gene families and certain satellite repeats as the major building blocks of NADs, which constitute about 4% of the genome. Bioinformatic evaluation showed that NAD–localized genes take part in specific biological processes, like the response to other organisms, odor perception, and tissue development. 3D FISH and immunofluorescence experiments illustrated the spatial distribution of NAD–specific chromatin within interphase nuclei and its alteration upon transcriptional changes. Altogether, our findings describe the nature of DNA sequences associated with the human nucleolus and provide insights into the function of the nucleolus in genome organization and establishment of nuclear architecture.

Author Summary

It is becoming increasingly clear that the nuclear organization and location of genes in metazoan organisms is not random. Functionally related genes are often found next to each other in the linear genome, and distant DNA elements or DNA regions residing on different chromosomes may reside in specific nuclear compartments. The largest nuclear compartment is the nucleolus with its shell of perinucleolar DNA. The nature of the nucleolus-associated DNA, the targeting mechanism, and the cellular function of this subset of genomic DNA are not known. In the present study we report for the first time the high-resolution analysis of a nuclear compartment by sequencing, microarray analysis, and single-cell analysis. We have characterized the nucleolus-associated DNA on sequence level and by 3D microscopy and have determined common elements and the molecular function of this compartment.

RNA interference (RNAi) has become a powerful technique for reverse genetics and drug discovery and, in both of these areas, large-scale high-throughput RNAi screens are commonly performed. The statistical techniques used to analyze these screens are frequently borrowed directly from small-molecule screening; however small-molecule and RNAi data characteristics differ in meaningful ways. We examine the similarities and differences between RNAi and small-molecule screens, highlighting particular characteristics of RNAi screen data that must be addressed during analysis. Additionally, we provide guidance on selection of analysis techniques in the context of a sample workflow.

The prevalence and importance of microRNAs (miRNAs) in viral infection are increasingly relevant. Eleven miRNAs were previously identified in human cytomegalovirus (HCMV); however, miRNA content in murine CMV (MCMV), which serves as an important in vivo model for CMV infection, has not previously been examined. We have cloned and characterized 17 novel miRNAs that originate from at least 12 precursor miRNAs in MCMV and are not homologous to HCMV miRNAs. In parallel, we applied a computational analysis, using a support vector machine approach, to identify potential precursor miRNAs in MCMV. Four of the top 10 predicted precursor sequences were cloned in this study, and the combination of computational and cloning analysis demonstrates that MCMV has the capacity to encode miRNAs clustered throughout the genome. On the basis of drug sensitivity experiments for resolving the kinetic class of expression, we show that the MCMV miRNAs are both early and late gene products. Notably, the MCMV miRNAs occur on complementary strands of the genome in specific regions, a feature which has not previously been observed for viral miRNAs. One cluster of miRNAs occurs in close proximity to the 5′ splice site of the previously identified 7.2-kb stable intron, implying a variety of potential regulatory mechanisms for MCMV miRNAs.