Project description:In our clinical practice, we perform genome-wide high-resolution SNP-array analysis as an adjunct to the histopathologic diagnosis for diagnostically challenging melanocytic tumors. The concept of using array-based DNA copy number analysis to screen for gene fusions associated with unbalanced genomic aberrations flanking the fusion points was applied in the diagnostic setting, and intragenic copy number changes involving common receptor kinase genes are typically further analyzed and, if necessary, studied by alternative methods. Here we present the discovery of recurrent NTRK3 gene rearrangements in childhood melanocytic neoplasms based on genome-wide high-resolution SNP-array analysis.
2017-02-01 | GSE90644 | GEO
Project description:Genome-wide SNP Discovery in Cultivated Pumpkin (Cucurbita spp.)
Project description:SNP-ChIP is a novel method leveraging small-scale intra-species genetic polymorphisms, mainly SNPs, to allow quantitative spike-in normalization of ChIP-seq results. SNP-ChIP uses a different strain of the same organism as the spike-in material and can be applied to any organism for which genome assemblies are available for two different strains or individuals with sufficient genetic diversity. This ensures antibody cross-reactivity and thus extends the applicability of the method beyond the small number of highly conserved proteins. It also ensures complete physiological coherence between the test and the spike-in cells. In this work we develop and validate the method using test cases from budding yeast meiosis. We use strains with ~0.7% genomic sequence divergence as test strain background and the spike-in strain, respectively. Sequencing reads are mapped to a hybrid genome, with naturally occurring sequence polymorphisms allowing assignment of most reads to one of the two genomes. By targeting the yeast chromosomal protein Red1, we show that SNP-ChIP reliably identifies previously reported changes in overall protein levels, irrespective of changes in binding distribution. We also show that SNP-ChIP is robust to wide changes in sequencing depth, as well as the amount of spike-in material. SNP-ChIP allowed discovery of novel regulators of global Red1 protein accumulation and is also shown to allow quantitative analysis of the DNA-damage associated histone modification gamma-H2AX. SNP-ChIP is a robust and versatile spike-in normalization method that can be used with any target against which a ChIP-grade antibody is available and for any organisms with sufficient intra-species diversity, including most model organisms as well as human cells. Grant ID: FY16-208 Grant title: Meiotic segregation of small chromosomes Funding source: March of Dimes Grantee name: Andreas Hochwagen, New York University, New York, NY, United States
Project description:Genome-wide SNP genotyping array can genotyped SNP highthroughly. It can be used in many aspects, such as phylogeny relationships, genome-wide association studies, copy number identification.
Project description:We developed a continuous-trait probabilistic model to identify genome-wide evolutionary patterns of 3D genome structures based on multi-species Hi-C data. We applied the proposed method to analyzing cross-species Hi-C data from the same cell type in multiple primate species. The results showed that the proposed method enables discovery of distinct Hi-C contact frequency evolutionary patterns across species.