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Gerard J. Nau

Researcher at Brown University

Publications -  69
Citations -  4301

Gerard J. Nau is an academic researcher from Brown University. The author has contributed to research in topics: Francisella tularensis & Tularemia. The author has an hindex of 31, co-authored 65 publications receiving 3971 citations. Previous affiliations of Gerard J. Nau include University of Pittsburgh & University of Chicago.

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Human macrophage activation programs induced by bacterial pathogens.

TL;DR: Analysis of Mycobacterium tuberculosis-specific responses revealed inhibition of interleukin-12 production, suggesting one means by which this organism survives host defenses, and suggest targets for therapeutic intervention.
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Clustering short time series gene expression data

TL;DR: The algorithm works by assigning genes to a predefined set of model profiles that capture the potential distinct patterns that can be expected from the experiment and outperforms both general clustering algorithms and algorithms designed specifically for clustering time series gene expression data.
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Regulation of T-cell activation: differences among T-cell subsets.

TL;DR: The results suggest that antigen concentration may play a role in determining which predominant T-cell types proliferate in a particular immunological situation.
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A chemoattractant cytokine associated with granulomas in tuberculosis and silicosis.

TL;DR: Osteopontin protein was identified by immunohistochemistry in macrophages, lymphocytes, and the extracellular matrix of pathologic tissue sections of patients with tuberculosis and its association with granulomatous pathology suggests that osteopont in may participate in granuloma formation.
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Human leucine-rich repeat proteins: a genome-wide bioinformatic categorization and functional analysis in innate immunity.

TL;DR: In this article, the detection of pathogen-associated molecular patterns by recognition receptors typically involve leucine-rich repeats (LRRs), and they provided a categorization of 375 human LRR-containing proteins, almost half of which lack other identifiable functional domains.