Medizinische Universität Innsbruck
Medizinische Universität Innsbruck (MUI) has 1,800 employees and about 3,000 students. The MUI offers the following courses of studies: Medicine and Dentistry as a basis for academic medical training and PhD courses for graduates who wish to consolidate their scientific skills.
Project
A bachelor and master courses in Molecular Medicine were added to the programme in 2011. Furthermore, graduates of Medicine or Dentistry can continue their studies with a Clinical PhD. MUI Research focuses on oncology, neurosciences, genetics, epigenetics and genomics, infectiology, immunology & organ and tissue transplant.
The Institute of Bioinformatics at MUI is headed by Prof. Zlatko Trajanoski who is an experienced investigator of cancer immunity. His lab developed a number of computational methods and software tools for interrogating cancer immunity.
Achievment
The computational analyses carried out by the Trajanoski lab were instrumental for elucidating the of the role of adaptive immunity in CRC and for the development of the immunoscore. Recently, his work focused on cancer immunoediting and spatio-temporal analyses of the tumor microenvironment. His research is supported by the European Research Council (ERC).
Within INCITE they will focus on the development of a gene expression signature for functional tumor-reactive T cells and dendritic cells using publicly available data as well as data specifically generated for the project using single-cell RNA sequencing technologies. The expression signatures will be developed for both, mouse and human T cells and dendritic cells and evaluated using combined computational/experimental strategies.
Zlatko Trajanoski
Alexander Kirchmair
Alexander Kirchmair is a PhD student at the Institute of Bioinformatics, Medical University of Innsbruck, under supervision of Prof. Zlatko Trajanoski. Studying molecular biology, he obtained a Bachelor’s degree from the University of Salzburg and a Master’s degree from the University of Vienna. Research experience includes the static and dynamic modelling of biological systems as well as the analysis of omics data (comprising transcriptomics, proteomics, phosphoproteomics and metabolomics). For INCITE, within WP3, WP4 and WP5, he will examine RNA sequencing profiles to gain insights into the functional states of anti-tumor T cells and other cells of the immune niches.