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Biomedical subjects

Jonathan Pevsner

Publications and source records attributed to Jonathan Pevsner.

24 records · Page 2Linked to original sources

Plunc, a member of the secretory gland protein family, is up-regulated in nasal respiratory epithelium after olfactory bulbectomy.

Subtraction suppression hybridization was used with high throughput screening to identify transcripts of genes that are differentially expressed in nasal epithelium following lesioning of the olfactory bulb, termed bulbectomy. We isolated the rat homologue of plunc, a murine gene highly expressed in lung and nasopharyngeal regions, by this method. Rat plunc encodes a 270-amino acid protein containing a putative signal peptide. plunc up-regulation in respiratory epithelium was confirmed by Northern blot and in situ hybridization. plunc mRNA was expressed in nasal epithelium, heart, lung, thymus, and salivary gland in adult rodent. plunc was expressed in nasal epithelium, thymus, and salivary gland during embryogenesis. Antibodies against Plunc detected a 31-kDa protein in lung, heart, and spleen. Rat nasal epithelium displayed robust immunoreactivity that was highly localized to the microvilli layer of respiratory epithelium. The expression of plunc was up-regulated after bulbectomy in respiratory epithelium. We also detected secreted plunc in rat and human mucus. Sequence and homology analyses suggest that Plunc is a member of the secretory gland protein family with putative bactericidal/bacteriostatic function. This is the first protein found in respiratory epithelium whose expression is regulated by olfactory neuronal injury and may provide protection against infection subsequent to injury.

Amino Acid Sequence↗

Leonardo da Vinci's contributions to neuroscience.

Leonardo da Vinci (1452-1519) made far-reaching contributions to many areas of science, technology and art. Leonardo's pioneering research into the brain led him to discoveries in neuroanatomy (such as those of the frontal sinus and meningeal vessels) and neurophysiology (he was the first to pith a frog). His injection of hot wax into the brain of an ox provided a cast of the ventricles, and represents the first known use of a solidifying medium to define the shape and size of an internal body structure. Leonardo developed an original, mechanistic model of sensory physiology. He undertook his research with the broad goal of providing physical explanations of how the brain processes visual and other sensory input, and integrates that information via the soul.

History, 15th Century↗

SNOMAD (Standardization and NOrmalization of MicroArray Data): web-accessible gene expression data analysis.

SNOMAD is a collection of algorithms for the normalization and standardization of gene expression datasets derived from diverse biological and technological sources. In addition to conventional transformations and visualization tools, SNOMAD includes two non-linear transformations which correct for bias and variance which are non-uniformly distributed across the range of microarray element signal intensities: (1). Local mean normalization; and (2). Local variance correction (Z-score generation using a locally calculated standard deviation).

Algorithms↗

Altered patterns of cellular gene expression in dermal microvascular endothelial cells infected with Kaposi's sarcoma-associated herpesvirus.

Kaposi's sarcoma (KS)-associated herpesvirus (KSHV; also called human herpesvirus 8) is believed to be the etiologic agent of Kaposi's sarcoma, multicentric Castleman's disease, and AIDS-associated primary effusion lymphoma. KSHV infection of human dermal microvascular endothelial cells (DMVEC) in culture results in the conversion of cobblestone-shaped cells to spindle-shaped cells, a characteristic morphological feature of cells in KS lesions. All spindle-shaped cells in KSHV-infected DMVEC cultures express the latency-associated nuclear protein LANA1, and a subfraction of these cells undergo spontaneous lytic cycle induction that can be enhanced by tetradecanoyl phorbol acetate (TPA) treatment. To study the cellular response to infection by KSHV, we used two different gene array screening systems to examine the expression profile of either 2,350 or 9,180 human genes in infected compared to uninfected DMVEC cultures in both the presence and absence of TPA. In both cases, between 1.4 and 2.5% of the genes tested were found to be significantly upregulated or downregulated. Further analysis by both standard and real-time reverse transcription-PCR procedures directly confirmed these results for 14 of the most highly upregulated and 13 of the most highly downregulated genes out of a total of 37 that were selected for testing. These included strong upregulation of interferon-responsive genes such as interferon response factor 7 (IRF7) and myxovirus resistance protein R1, plus upregulation of exodus 2 beta-chemokine, RDC1 alpha-chemokine receptor, and transforming growth factor beta3, together with strong downregulation of cell adhesion factors alpha(4)-integrin and fibronectin plus downregulation of bone morphogenesis protein 4, matrix metalloproteinase 2, endothelial plasminogen activator inhibitor 1, connective tissue growth factor, and interleukin-8. Significant dysregulation of several other cytokine-related genes or receptors, as well as endothelial cell and macrophage markers, and various other genes associated with angiogenesis or transformation was also detected. Western immunoblot and immunohistochemical analyses confirmed that the cellular IRF7 protein levels were strongly upregulated during the early lytic cycle both in KSHV-infected DMVEC and in the body cavity-based lymphoma BCBL1 PEL cell line.

Antigens, Viral↗

Local mean normalization of microarray element signal intensities across an array surface: quality control and correction of spatially systematic artifacts.

Here we present a methodology for the normalization of element signal intensities to a mean intensity calculated locally across the surface of a DNA microarray. These methods allow the detection and/or correction of spatially systematic artifacts in microarray data. These include artifacts that can be introduced during the robotic printing, hybridization, washing, or imaging of microarrays. Using array element signal intensities alone, this local mean normalization process can correct for such artifacts because they vary across the surface of the array. The local mean normalization can be usedfor quality control and data correction purposes in the analysis of microarray data. These algorithms assume that array elements are not spatially ordered with regard to sequence or biological function and require that this spatial mapping is identical between the two sets of intensities to be compared. The tool described in this report was developed in the R statistical language and is freely available on the Internet as part of a larger gene expression analysis package. This Web implementation is interactive and user-friendly and allows the easy use of the local mean normalization tool described here, without programming expertise or downloading of additional software.

Algorithms↗