Publications by authors named "Brett Spurrier"

Reference sequences and annotations serve as the foundation for many lines of research today, from organism and sequence identification to providing a core description of the genes, transcripts and proteins found in an organism's genome. Interpretation of data including transcriptomics, proteomics, sequence variation and comparative analyses based on reference gene annotations informs our understanding of gene function and possible disease mechanisms, leading to new biomedical discoveries. The Reference Sequence (RefSeq) resource created at the National Center for Biotechnology Information (NCBI) leverages both automatic processes and expert curation to create a robust set of reference sequences of genomic, transcript and protein data spanning the tree of life.

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Background: Allergen immunotherapy (AIT) is the only disease-modifying treatment for allergic disorders. We have recently discovered that allergen-specific memory B cells (Bmem) are phenotypically altered after 4 months of sublingual AIT for ryegrass pollen allergy. Whether these effects are shared with subcutaneous allergen immunotherapy (SCIT) and affect the epitope specificity of Bmem remain unknown.

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Background: Spinal muscular atrophy (SMA) is the most common pan-ethnic cause of early childhood death due to mutations in a single gene, SMN1. Most chromosome 5 homologs have a functional gene and dysfunctional copy, SMN2, with a single synonymous base substitution that results in faulty RNA splicing. However, the copy number of SMN1 and SMN2 is highly variable, and one in 60 adults worldwide are SMA carriers.

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Purpose: Carrier screening for mutations contributing to cystic fibrosis (CF) is typically accomplished with panels composed of variants that are clinically validated primarily in patients of European descent. This approach has created a static genetic and phenotypic profile for CF. An opportunity now exists to reevaluate the disease profile of CFTR at a global population level.

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Staphylococcus aureus is responsible for a large number of diverse infections worldwide. In order to support its pathogenic lifestyle, S. aureus has to regulate the expression of virulence factors in a coordinated fashion.

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Unlabelled: Data from the RV144 HIV vaccine trial indicated that gp120 V2 antibodies were associated with a lower risk of infection; thus, the mapping of V2 epitopes can contribute to the design of an effective HIV vaccine. We solved the crystal structure of human monoclonal antibody (MAb) 2158, which targets a conformational V2 epitope overlapping the α4β7 integrin binding site, and constructed a full-length model of V1V2. Comparison of computational energy stability to experimental enzyme-linked immunosorbent assay (ELISA) results identified a hydrophobic core that stabilizes the V2 region for optimal 2158 binding, as well as residues that directly mediate side chain interactions with MAb 2158.

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The third variable region (V3) of HIV-1 gp120 plays a key role in viral entry into host cells; thus, it is a potential target for vaccine design. Human monoclonal antibody (mAb) 447-52D is one of the most broadly and potently neutralizing anti-V3 mAbs. We further characterized the 447-52D epitope by determining a high-resolution crystal structure of the Fab fragment in complex with a cyclic V3 and interrogated the antigen-antibody interaction by a combination of site-specific mutagenesis, isothermal titration calorimetry (ITC) and neutralization assays.

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In the case-control study of the RV144 vaccine trial, the levels of antibodies to the V1V2 region of the gp120 envelope glycoprotein were found to correlate inversely with risk of HIV infection. This recent demonstration of the potential role of V1V2 as a vaccine target has catapulted this region into the focus of HIV-1 research. We previously described seven human monoclonal antibodies (mAbs) derived from HIV-infected individuals that are directed against conformational epitopes in the V1V2 domain.

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The recent analysis of the first successful RV144 vaccine trial revealed that a high titer of plasma anti-V2 antibodies (Abs) correlated with a decreased risk of HIV-1 infection in vaccine recipients. To understand the mechanism of immune correlates, we studied seven anti-V2 monoclonal Abs (mAbs) developed from HIV-1 infected individuals. The V2 mAbs target conserved epitopes, including the binding site for α4β7 integrin, and are broadly cross-reactive with various gp120 proteins.

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The quaternary neutralizing epitope (QNE) of HIV-1 gp120 is preferentially expressed on the trimeric envelope spikes of intact HIV virions, and QNE-specific monoclonal antibodies (mAbs) potently neutralize HIV-1. Here, we present the crystal structures of the Fabs of human mAb 2909 and macaque mAb 2.5B.

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Purpose: We assessed the ability of different classes of histone deacetylase inhibitors to target tumor and invasive suppressor genes in a panel of bladder carcinoma cell lines using reverse phase protein arrays.

Materials And Methods: Three poorly, moderately and highly invasive cell lines were exposed to histone deacetylase inhibitors, trichostatin A, apicidin, valproic acid (Sigma) and MS-275 (AXXORA) for 0 to 36 hours. Lysates were harvested and arrayed in a 10-fold dilution series in duplicate.

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'Reverse-phase' protein lysate microarray (RPA) assays use micro-scale, cell lysate dot blots that are printed to a substrate, followed by quantitative immunochemical protein detection, known to be particularly effective across many samples. Large-scale sample collection is a labor-intensive and time-consuming process; the information yielded from RPA assays, however, provides unique opportunities to experimentally interpret theoretical protein networks quantitatively. When specific antibodies are used, RPA can generate 1,000 times more data points using 10,000 times less sample volume than an ordinary western blot, enabling researchers to monitor quantitative proteomic responses for various time-scale and input-dose gradients simultaneously.

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Capturing quantitative proteomic information provides new insights for enhancing the understanding of cancer biology. There have been several protein microarray formats, and each has an advantage depending on what is being detected. However, in contrast to nucleotide printing, the production of protein arrays generally requires the capability of handling viscous solutions, and the mishandling of various factors, such as temperature and humidity, adversely affect protein status.

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Proteomic analysis using quantitative high-throughput technology can provide new insights in cancer therapeutics. It can reveal how cancer cells respond to given therapies by measuring multiple dimensions of information, from which dynamic proteomic responses can be observed. A lack of high throughput proteomic technologies has previously limited such multi-dimensional approaches.

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Cellular responses are the consequence of complex reactions of protein networks. The complexity should ultimately be described by a set of formulas in a quantitative fashion, in which each formula defines the reactions in response to given types of input. However, testing these formulas has not been a simple task because of the lack of appropriate means for experimental validation.

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Conventional molecular biology techniques have identified a large number of cell signaling pathways; however, the importance of these pathways often varies, depending on factors such as treatment type, dose, time after treatment, and cell type. Here, we describe a technique using "reverse-phase" protein lysate microarrays (RPAs) to acquire multiple dimensions of information on protein dynamics in response to DNA damage. Whole-cell lysates from three cellular stress treatments (IR, UV, and ADR) were collected at four doses per treatment, and each, in turn, at 10 time points, resulting in a single-slide RPA consisting of 10,240 features, including replicates.

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Knowledge-based proteomic studies rely on the availability of quality antibodies. The increasing number of commercially available antibodies covers a wide range of protein networks; however, performance of each antibody can vary, depending on what type of cells, treatments, and time points are studied. Here, we describe an antibody database in which we screened 279 antibodies against multiple cell lysates after various treatments and from different time points.

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