Biomedical subjects

Janko Dietzsch

Publications and source records attributed to Janko Dietzsch.

4 recordsLinked to original sources

PubMed2006

Mayday--a microarray data analysis workbench.

UNLABELLED: Mayday is a workbench for visualization, analysis and storage of microarray data. It features a graphical user interface and supports the development and integration of existing and new analysis methods. Besides the infrastructural core functionality, Mayday offers a variety of plug-ins, such as various interactive viewers, a connection to the R statistical environment, a connection to SQL-based databases and different data mining methods, including WEKA-library based methods for classification and various clustering methods. In addition, so-called meta information objects are provided for annotation of the microarray data allowing integration of data from different sources, which is a feature that, for instance, is employed in the enhanced heatmap visualization. SUPPLEMENTARY INFORMATION: The software and more detailed information including screenshots and a user guide as well as test data can be found on the Mayday home page http://www.zbit.uni-tuebingen.de/pas/mayday. The core is published under the GPL (GNU Public License) and the associated plug-ins under the LGPL (Lesser GNU Public License).

Computer Graphics↗

PubMed2005

cDNA microarray analysis reveals novel candidate genes expressed in human peripheral blood following exhaustive exercise.

It is generally accepted that exhausting endurance exercise exhibits strong effects on the immune system. Such effects have been attributed to changes in the cellular composition of peripheral blood as well as to changes in the expression of plausible candidate genes. The list of candidate genes is far from being complete, since this issue has not yet been investigated in a systematic way. In this study, we used a custom-made cDNA microarray focused on inflammation as a screening approach to study gene expression in eight one-half marathon runners before, immediately after, and 24 h after exercise. Significant differential gene expression was verified by quantitative real-time PCR. Linear regression analysis showed that microarray expression analysis of cell type-specific surface molecules reflects the observed individual cellular shifts in peripheral blood cells with high statistical significance. In line with the results of former studies, we observed an upregulation of mitogen-activated protein kinase-activated protein kinase-2 (MAPKAP-K2), L-selectin, and IL-1 receptor antagonist (IL-1ra) after exhaustive exercise. The main results of this study report, for the first time, the downregulation of CD81; the upregulation of thioredoxin, which may play an important part in anti-oxidative defense; and, surprisingly, the downregulation of the anti-carcinogenic gene glutathione-S-transferase-3 (GSTM3) in peripheral blood. The study shows cDNA microarray expression analysis as a reliable systematic instrument to complete the list of candidate genes that may play a role in exhaustive exercise-induced modulation of the immune response.

Adult↗

PubMed2005

CDNA-microarray analysis as a research tool for expression profiling in human peripheral blood following exercise.

Exhausting endurance exercise has strong effects on the immune system. Changes have been shown in the cellular composition of peripheral blood and in gene expression within those cells. In this study, custom-made cDNA microarrays focused on inflammation were used to analyze gene expression blood cells obtained from eight half-marathon runners before (t0), immediately after (t1) and 24 hours after exercise (t2). The microarrays that were used contained 384 different cDNAs spotted in triplicate. Differentially-regulated gene expression was analyzed using a simple rule-based clustering. Comparing t1 vs. t0, and t2 vs. t0, 36 and 21 sequences respectively, showed a consistent pattern of changes in all eight athletes. Taken together, the pattern of these modified genes can be viewed as a "gene expression fingerprint" for each time point in response to a half marathon. The known and novel genes identified here represent targets for further molecular characterization of the complex reaction of the body to an exhaustive challenge. These data suggest that gene expression fingerprints can serve as a powerful research tool to design novel strategies for diagnosis and treatment of exercise related injury and stress.

Adult↗

PubMed2004

Regional patterns of gene expression in human and chimpanzee brains.

We have analyzed gene expression in various brain regions of humans and chimpanzees. Within both human and chimpanzee individuals, the transcriptomes of the cerebral cortex are very similar to each other and differ more between individuals than among regions within an individual. In contrast, the transcriptomes of the cerebral cortex, the caudate nucleus, and the cerebellum differ substantially from each other. Between humans and chimpanzees, 10% of genes differ in their expression in at least one region of the brain. The majority of these expression differences are shared among all brain regions. Whereas genes encoding proteins involved in signal transduction and cell differentiation differ significantly between brain regions within individuals, no such pattern is seen between the species. However, a subset of genes that show expression differences between humans and chimpanzees are distributed nonrandomly across the genome. Furthermore, genes that show an elevated expression level in humans are statistically significantly enriched in regions that are recently duplicated in humans.

Adult↗