Project description:The study aims to investigate the differences between Human intestinal blood and lymphatic endothelial cells, HIBECs and HILECs, respectively, isolated from colon and ilea of IBD and control patients.
Project description:We obtained transcriptome profiling (SAGE-seq) of immune cells purified from LPMC of IBD and non-IBD patients by using next generation sequencing.
Project description:Mucosal-luminal interface (MLI) samples were collected from a cohort of children with new-onset IBD and microbial cells were harvested and processed for metaproteomic analysis. Deep metaproteomics data analysis was then performed for better understanding the MLI microbiota functions in the development of pediatric IBD.
Project description:Peripheral blood-derived macrophages were stimulated with viral-like particles isolated from colonic resections from patients with Crohn's disease (CD), ulcerative colitis (UC), or non-IBD controls diagnoses. RNAseq was performed to unbiasedly assess the transcriptional responses to these stimuli and revealed highly divergent macrophage transcriptional programs in response to non-IBD compared to IBD VLP.
Project description:Investigation of whole genome gene expression level changes in Inflammatory bowel disease rats after MSC transplantation, compared to IBD control rats, and to explore the mechanism of MSC transplantation. A four chip study using total RNA recovered from two separate IBD rats after MSC transplantation and two separate IBD control rats. Each chip measures the expression level of 26,419 genes from normal rat and IBD rat treated with MSC transplantation.
Project description:Background Microorganisms adapt their transcriptome by integrating multiple chemical and physical signals from their environment. Shake-flask cultivation does not allow precise manipulation of individual culture parameters and therefore precludes a quantitative analysis of the (combinatorial) influence of these parameters on transcriptional regulation. Steady-state chemostat cultures, which do enable accurate control, measurement and manipulation of individual cultivation parameters (e.g. specific growth rate, temperature, identity of the growth-limiting nutrient) appear to provide a promising experimental platform for such a combinatorial analysis. Results A microarray compendium of 170 steady-state chemostat cultures of the yeast Saccharomyces cerevisiae is presented and analyzed. The 170 microarrays encompass 55 unique conditions, which can be characterized by the combined settings of 10 different cultivation parameters. By applying a regression model to assess the impact of (combinations of) cultivation parameters on the transcriptome, most S. cerevisiae genes were shown to be influenced by multiple cultivation parameters, and in many cases by combinatorial effects of cultivation parameters. The inclusion of these combinatorial effects in the regression model led to higher explained variance of the gene expression patterns and resulted in higher function enrichment in subsequent analysis. We further demonstrate the usefulness of the compendium and regression analysis for interpretation of shake-flask-based transcriptome studies and for guiding functional analysis of (uncharacterized) genes and pathways. Conclusions Modeling the combinatorial effects of environmental parameters on the transcriptome is crucial for understanding transcriptional regulation. Chemostat cultivation offers a powerful tool for such an approach. Keywords: chemostat steady state samples