Project description:The National Cancer Institute-60 (NCI-60) cell lines are among the most widely used models of human cancer. They provide a platform to integrate DNA sequence information, epigenetic data, RNA and protein expression, and pharmacologic susceptibilities in studies of cancer cell biology. Genome-wide studies of the NCI-60 have included exome sequencing, karyotyping, and copy number analyses but have not targeted repetitive sequences. Interspersed repeats are a significant source of heritable genetic variation, and insertions of active elements can occur somatically in malignancy. To approach a functional understanding of these sequences in transformed cells, we used transposon insertion profiling (TIP) to map Long INterspersed Element-1 (LINE-1, L1) and Alu Short INterspersed Element (SINE) insertions in cancer genes in NCI-60 cells. As expected, this identified known insertions, polymorphisms shared in unrelated tumor cell lines, as well as unique, potentially tumor-specific insertions. Here, we report a map of these insertion sites and conduct association analyses relating individual insertions to a variety of cellular phenotypes.
Project description:Whole-genome analysis by 62-strain microarray showed variation in resistance and virulence genes on mobile genetic elements (MGEs) between 40 isolates of methicillin-resistant Staphylococcus aureus (MRSA) strain CC22-SCCmecIV but also showed (i) detection of two previously unrecognized MRSA transmission events and (ii) that 7/8 patients were infected with a variant of their own colonizing isolate. [Data is also available from http://bugs.sgul.ac.uk/E-BUGS-128]
Project description:While nucleotide-resolution maps of genomic structural variants (SVs) have provided insights into the origin and impact on phenotypic diversity in humans, comparable maps in nonhuman primates have thus far been lacking. Using massively parallel DNA sequencing we constructed fine-resolution, species-specific structural variation and segmental duplication maps for five chimpanzees, five orang-utans, and five rhesus macaques. The SV maps, comprising thousands of deletions, duplications, and mobile element insertions, revealed a high activity of retrotransposition in macaques. Non-allelic homologous recombination, linked with genomic architecture, primarily shaped the genomes of great apes resulting in different SV formation mechanism landscapes across species, with distinct functional consequences. Transcriptome analyses across nonhuman primates and humans revealed significant effects of species-specific gene duplications on gene expression, with these effects displaying remarkable diversity in direction and magnitude. Thirteen inter-species gene duplications coincided with the species-specific gain of expression in a new tissue, implicating these duplications in function acquisition.
Project description:While nucleotide-resolution maps of genomic structural variants (SVs) have provided insights into the origin and impact on phenotypic diversity in humans, comparable maps in nonhuman primates have thus far been lacking. Using massively parallel DNA sequencing we constructed fine-resolution, species-specific structural variation and segmental duplication maps for five chimpanzees, five orang-utans, and five rhesus macaques. The SV maps, comprising thousands of deletions, duplications, and mobile element insertions, revealed a high activity of retrotransposition in macaques. Non-allelic homologous recombination, linked with genomic architecture, primarily shaped the genomes of great apes resulting in different SV formation mechanism landscapes across species, with distinct functional consequences. Transcriptome analyses across nonhuman primates and humans revealed significant effects of species-specific gene duplications on gene expression, with these effects displaying remarkable diversity in direction and magnitude. Thirteen inter-species gene duplications coincided with the species-specific gain of expression in a new tissue, implicating these duplications in function acquisition. Agilent arrays were custom designed for probes to be relatively evenly spaced across the reference genomes of chimpanzee, orang-utan, and rhesus macaque. For each species 9 one million probe arrays were used to cover the autosomes and a single 400k probe array was used for the sex chromosomes.
Project description:Mobile element insertions (MEIs) are a major class of structural variants (SVs) and have been linked to many human genetic disorders, including hemophilia, neurofibromatosis, and various cancers. However, human MEI resources from large-scale genome sequencing are still lacking compared to those for SNPs and SVs. Here, we report a comprehensive map of 36 699 non-reference MEIs constructed from 5675 genomes, comprising 2998 Chinese samples (∼26.2×, NyuWa) and 2677 samples from the 1000 Genomes Project (∼7.4×, 1KGP). We discovered that LINE-1 insertions were highly enriched in centromere regions, implying the role of chromosome context in retroelement insertion. After functional annotation, we estimated that MEIs are responsible for about 9.3% of all protein-truncating events per genome. Finally, we built a companion database named HMEID for public use. This resource represents the latest and largest genomewide study on MEIs and will have broad utility for exploration of human MEI findings.
Project description:BackgroundMobile elements are ubiquitous components of mammalian genomes and constitute more than half of the human genome. Polymorphic mobile element insertions (pMEIs) are a major source of human genomic variation and are gaining research interest because of their involvement in gene expression regulation, genome integrity, and disease.ResultsBuilding on our previous Mobile Element Scanning (ME-Scan) protocols, we developed an integrated ME-Scan protocol to identify three major active families of human mobile elements, AluYb, L1HS, and SVA. This approach selectively amplifies insertion sites of currently active retrotransposons for Illumina sequencing. By pooling the libraries together, we can identify pMEIs from all three mobile element families in one sequencing run. To demonstrate the utility of the new ME-Scan protocol, we sequenced 12 human parent-offspring trios. Our results showed high sensitivity (> 90%) and accuracy (> 95%) of the protocol for identifying pMEIs in the human genome. In addition, we also tested the feasibility of identifying somatic insertions using the protocol.ConclusionsThe integrated ME-Scan protocol is a cost-effective way to identify novel pMEIs in the human genome. In addition, by developing the protocol to detect three mobile element families, we demonstrate the flexibility of the ME-Scan protocol. We present instructions for the library design, a sequencing protocol, and a computational pipeline for downstream analyses as a complete framework that will allow researchers to easily adapt the ME-Scan protocol to their own projects in other genomes.