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Non-Hodgkin's lymphoma (NHL) is a group of malignancies of the immune system with variable clinical behaviors and diverse molecular features. Despite the progress made in classification of NHLs based on classical methods, molecular classifications are a work in progress. Toward this goal, we used an array-based technique called differential methylation(More)
The availability of whole genome sequences for individual species will change the landscape for livestock genomic research. Animal scientists will have access to whole-genome sequence-based technologies such as high-throughput SNP genotyping assays, gene expression profiling, methylation profiling, RNA interference, and genome resequencing that will(More)
Analysis and dissemination of transplant patient safety data are essential to understanding key issues facing the transplant community and fostering a "culture of safety." The Organ Procurement and Transplantation Network's (OPTN) Operations and Safety Committee de-identified safety situations reported through several mechanisms, including the OPTN's online(More)
Though crystal structures for Env subunit fragments have been described, the overall structure of the Env spike and its distribution on virions has remained obscure. To address this issue, we have used cryoelectron microscopy (cryoEM) tomography to image unfixed and unstained HIV-1 and SIV virions in vitreous ice. Mutant (truncated TM tail) SIV virions show(More)
Summary This molecular epidemiology study integrated questionnaire and genotype information to examine a disease susceptibility hypothesis. The study was based on a previously reported association demonstrated between a single nucleotide polymorphism (SNP) identified as A-564G within the promoter of the proteinase-3 gene (PRTN3) and the autoimmune disease(More)
In a study that examined associations between single nucleotide polymorphism (SNP) loci within the promoter of the PRTN3 gene and the autoimmune disease Wegener's granulomatosis (WG), we implemented a self-administered pilot survey that captured participants' demographic data, family relationships, incidence of autoimmune disease among family members, and(More)
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