In the research area Immunology we focus on the description and research of the human adaptive immune system.The human adaptive immune system plays a vital role in the detection of potential pathogens, diseases that are difficult or impossible to cure, such as various types of cancer and autoimmune diseases. We also rely on the functionality of our immune system during transplantation processes.One of the main tasks here is the identification and description of the components and signal pathways which lead to a specific immune reaction or which differ in diseased and supposedly healthy individuals. This makes an important contribution to the explainability of various diseases and the development of new, innovative therapies.The latest technologies in molecular biology generate large amounts of data that have to be analyzed efficiently. We here mainly deal with the analysis of genetic data. This includes the analysis of gene expressions, database analyses and the identification of mutations. The main focus is on diseases such as leukemia, but also organ rejection reactions and infectionswith various pathogens such as Helicobacter pylori.Since 2012, we have been developing the ImmunExplorer software, which enables algorithms for the analysis of the human immune repertoire, the immunoglobulins and T-cell receptors, from blood and tissue data. An extensive expansion and continuation of ImmunExplorer, namely ImmunoDataAnalyzer, will be published soon in 2020. In close cooperation with our partners at MedUni Vienna, AKH Vienna, University of Salzburg and the Hospital of the Barmherzigen Brüder we strive to advance the research area and intensify national and international cooperation.
|2019||Roman Reindl-Schwaighofer, Julia Vetter, Johannes Weinberger, Susanne Schaller, Andreas Heinzel, Guido Gualdoni, Constantin Aschauer, Kira Jelencsics, Karin Hu, Stephan M. Winkler, and Rainer Oberbauer:||T-Cell Repertoire of Tissue Infiltrating T-cells at Time of Rejection||American Transplant Congress 2019|
JKU/UAS International PhD Program
Recent developments of high resolution mass spectrometers carry great potential for research in biological and health issues. Still, in commonly used approaches mass spectra are identified by database search, i.e., searching for a match in a sequence database of known proteins. This approach lacks the possibility of identifying unknown proteins or unconsidered biologically relevant modifications, especially for poorly studied organisms.
The aim of this project is to develop algorithms and bioinformatic concepts incorporating de novo identification, blind modification search, and genomics data information for peptide and protein identification in proteomics analyses, exploiting all potential benefits of newly developed machines. A new approach for de novo identification, i.e., for explaining mass spectra in the absence of sequence database information, shall be developed to detect unknown peptides and shall be combined with adequate and fast blind modification search. Alternative splice sites and amino acid substitutions that occur, e.g., due to single nucleotide variants, may also hamper spectrum identification as those peptide compositions are often missing in used protein databases. Discovery of those changes is of high value especially for the emerging field of personalized medicine, e.g., in drug efficiency studies. Thus, information from next generation sequencing data of RNA sequences shall also be included in the spectrum identification approaches to detect sample specific sequence variances.
FH-Prof. PD DI Dr. Stephan Dreiseitl
DI(FH) Viktoria Dorfer MSc
Sebastian Dorl MSc
Prof.(FH) DI Dr. Stephan Winkler
2015 - present
Research Center Hagenberg
University of Applied Sciences, Upper Austria, Hagenberg Campus
Software technology and application