Medicine and Health Sciences Commons^™

Multifactorial Patterns Of Gene Expression In Colonic Epithelial Cells Predict Disease Phenotypes In Experimental Colitis, Aubrey Leigh Frantz, Maria E. C. Bruno, Eric William Rogier, Halide Tuna, Donald A. Cohen, Subbarao Bondada, Ralph Lakshman Chelvarajan, J. Anthony Brandon, C. Darrell Jennings, Charlotte S. Kaetzel

Microbiology, Immunology, and Molecular Genetics Faculty Publications

Background— The pathogenesis of inflammatory bowel disease (IBD) is complex and the need to identify molecular biomarkers is critical. Epithelial cells play a central role in maintaining intestinal homeostasis. We previously identified five “signature” biomarkers in colonic epithelial cells (CEC) that are predictive of disease phenotype in Crohn's disease. Here we investigate the ability of CEC biomarkers to define the mechanism and severity of intestinal inflammation.

Methods— We analyzed the expression of RelA, A20, pIgR, tumor necrosis factor (TNF), and macrophage inflammatory protein (MIP)-2 in CEC of mice with dextran sodium sulfate (DSS) acute colitis or T-cell-mediated chronic colitis. …

Tryptophan Hydroxylase-1 Regulates Immune Tolerance And Inflammation, Elizabeth C. Nowak, Victor C. De Vries, Anna Wasiuk, Cory Ahonen, Kathryn A. Bennett, Isabelle Le Mercier, Dae-Gon Ha, Randolph J. Noelle

Dartmouth Scholarship

Nutrient deprivation based on the loss of essential amino acids by catabolic enzymes in the microenvironment is a critical means to control in ammatory responses and immune tolerance. Here we report the novel nding that Tph-1 (tryptophan hydroxylase-1), a synthase which catalyses the conversion of tryptophan to serotonin and exhausts tryptophan, is a potent regulator of immunity. In models of skin allograft tolerance, tumor growth, and experimental autoimmune encephalomyelitis, Tph-1 de ciency breaks allograft tolerance, induces tumor remission, and intensi es neuroin ammation, respectively. All of these effects of Tph-1 de ciency are independent of its downstream product serotonin. Because …

Med5(Nut1) And Med17(Srb4) Are Direct Targets Of Mediator Histone H4 Tail Interactions, Zhongle Liu, Lawrence C. Myers

Dartmouth Scholarship

The Mediator complex transmits activation signals from DNA bound transcription factors to the core transcription machinery. In addition to its canonical role in transcriptional activation, recent studies have demonstrated that S. cerevisiae Mediator can interact directly with nucleosomes, and their histone tails. Mutations in Mediator subunits have shown that Mediator and certain chromatin structures mutually impact each other structurally and functionally in vivo. We have taken a UV photo cross-linking approach to further delineate the molecular basis of Mediator chromatin interactions and help determine whether the impact of certain Mediator mutants on chromatin is direct. Specifically, by using histone …

Generating Induced Pluripotent Stem Cells From Human Fibroblast Utilizing Controlled Expression Of Transcription Factors, Ju-Sung Song

Honors Scholar Theses

Human Embryonic stem cells (hESCs) represent a pluripotent cell population derived from the inner cell mass (ICM) of the blastocyst stage of the developing embryo. Ethical concerns have been raised regarding the derivation process, as the procedure ultimately results in the destruction of the embryos. Recently, alternative approach has been devised that encompasses reprogramming of terminally differentiated cells into an hESC-like state. This process relies on the over-expression of four pluripotency-associated factors, and successfully reprogrammed cells are termed induced pluripotent stem cells (iPSCs). These cells hold great promise for the use in future cell-based therapeutics such as evaluating drug induced …

Down-Weighting Overlapping Genes Improves Gene Set Analysis, Adi Tarca, Sorin Draghici, Gaurav Bhatti, Roberto Romero

Wayne State University Associated BioMed Central Scholarship

Abstract

Background

The identification of gene sets that are significantly impacted in a given condition based on microarray data is a crucial step in current life science research. Most gene set analysis methods treat genes equally, regardless how specific they are to a given gene set.

Results

In this work we propose a new gene set analysis method that computes a gene set score as the mean of absolute values of weighted moderated gene t-scores. The gene weights are designed to emphasize the genes appearing in few gene sets, versus genes that appear in many gene sets. We demonstrate the …