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The Drosophila Y chromosome is a degenerated, heterochromatic chromosome with few functional genes. Despite this, natural variation on the Y chromosome in D. melanogaster has substantial trans-acting effects on the regulation of X-linked and autosomal genes. It is not clear, however, whether these genes simply represent a random subset of the genome or whether specific functional properties are associated with susceptibility to regulation by Y-linked variation. Here, we present a meta-analysis of four previously published microarray studies of Y-linked regulatory variation (YRV) in D. melanogaster. We show that YRV genes are far from a random subset of the genome: They are more likely to be in repressive chromatin contexts, be expressed tissue specifically, and vary in expression within and between species than non-YRV genes. Furthermore, YRV genes are more likely to be associated with the nuclear lamina than non-YRV genes and are generally more likely to be close to each other in the nucleus (although not along chromosomes). Taken together, these results suggest that variation on the Y chromosome plays a role in modifying how the genome is distributed across chromatin compartments, either via changes in the distribution of DNA-binding proteins or via changes in the spatial arrangement of the genome in the nucleus.
Pubmed ID: 23315381
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Software that characterizes coexisting subpopulations (SPs) in a tumor using copy number and allele frequencies derived from exome- or whole genome sequencing input data. The model amplifies the statistical power to detect coexisting genotypes, by fully exploiting run-specific tradeoffs between depth of coverage and breadth of coverage. ExPANdS predicts the number of clonal expansions, the size of the resulting SPs in the tumor bulk, the mutations specific to each SP and tumor purity. The main function runExPANdS provides the complete functionality needed to predict coexisting SPs from single nucleotide variations (SNVs) and associated copy numbers. The robustness of the subpopulation predictions by ExPANdS increases with the number of mutations provided. It is recommended that at least 200 mutations are used as an input to obtain stable results.
View all literature mentionsDatabase of Drosophila genetic and genomic information with information about stock collections and fly genetic tools. Gene Ontology (GO) terms are used to describe three attributes of wild-type gene products: their molecular function, the biological processes in which they play a role, and their subcellular location. Additionally, FlyBase accepts data submissions. FlyBase can be searched for genes, alleles, aberrations and other genetic objects, phenotypes, sequences, stocks, images and movies, controlled terms, and Drosophila researchers using the tools available from the "Tools" drop-down menu in the Navigation bar.
View all literature mentionsSoftware package for the analysis of gene expression microarray data, especially the use of linear models for analyzing designed experiments and the assessment of differential expression.
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