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Biomedical subjects

John Tomfohr

Publications and source records attributed to John Tomfohr.

3 recordsLinked to original sources

Using mouse genomics to understand idiopathic interstitial fibrosis.

Idiopathic interstitial pneumonia represents a broad category of lung disorders characterized by scarring or fibrosis of the lung accompanied by varying degrees of inflammation. A number of important hypotheses based on clinical observations have substantially contributed to our understanding of the pathogenesis of the most insidious and devastating of the idiopathic interstitial pneumonias, idiopathic interstitial fibrosis (IIF). Patients with IIF usually present late in the course of their illness; thus, animal models of the early, preclinical stage of these diseases are needed. Although no model faithfully recapitulates the clinical course of disease or the histopathology observed in humans, all result in scarring of the lung and may therefore be used to understand the biological processes that contribute to this scarring. The purpose of this article is to summarize the application of mouse genetic and genomic tools to these models to advance our understanding of IIF and to describe emerging agnostic approaches to identifying genes important to the fibroproliferative component of IIF.

Animals↗

Pathway level analysis of gene expression using singular value decomposition.

BACKGROUND: A promising direction in the analysis of gene expression focuses on the changes in expression of specific predefined sets of genes that are known in advance to be related (e.g., genes coding for proteins involved in cellular pathways or complexes). Such an analysis can reveal features that are not easily visible from the variations in the individual genes and can lead to a picture of expression that is more biologically transparent and accessible to interpretation. In this article, we present a new method of this kind that operates by quantifying the level of 'activity' of each pathway in different samples. The activity levels, which are derived from singular value decompositions, form the basis for statistical comparisons and other applications. RESULTS: We demonstrate our approach using expression data from a study of type 2 diabetes and another of the influence of cigarette smoke on gene expression in airway epithelia. A number of interesting pathways are identified in comparisons between smokers and non-smokers including ones related to nicotine metabolism, mucus production, and glutathione metabolism. A comparison with results from the related approach, 'gene-set enrichment analysis', is also provided. CONCLUSION: Our method offers a flexible basis for identifying differentially expressed pathways from gene expression data. The results of a pathway-based analysis can be complementary to those obtained from one more focused on individual genes. A web program PLAGE (Pathway Level Analysis of Gene Expression) for performing the kinds of analyses described here is accessible at http://dulci.biostat.edu/pathways.

Blood Glucose↗

Theoretical analysis of electron transport through organic molecules.

We present a theoretical study of electron transport through a variety of organic molecules. The analysis uses the Landauer formalism in combination with complex bandstructure and projected densities of states calculations to reveal the main aspects of coherent electronic transport through alkanes, benzene-dithiol, and phenylene-ethynylene oligomers. We examine the dependence of the current on molecule length, the effects of molecule-molecule interactions from film packing, differences in contact geometry, and the influence of phenyl ring rotation on the conductances of phenylene-ethynylene oligomers such as 1,4-bis-phenylethynyl-benzene.

Journal Article↗