The Z service projects make state-of-the-art technologies available to all Transregio research projects.
Service project Z1
Renal imaging and ultrastructure
Prof. Dr Ralph Witzgall (external link, opens in a new window), Molecular and Cellular Anatomy, University of Regensburg
Prof. Dr. Richard Warth (external link, opens in a new window), Medical Cell Biology, University of Regensburg
Prof. Dr. Stefan Uderhardt (external link, opens in a new window), Clinic 3 - Rheumatology and Immunology, University Hospital Erlangen
The Z1 service project offers comprehensive, state-of-the-art microscopy techniques and support for kidney imaging . The subprojects are competently supported in the production of high-quality histological images, fluorescence microscopy, confocal microscopy, multiphoton microscopy, lightsheet microscopy, advanced image analysis and 3D reconstructions. Additionally, electron microscopy and correlative confocal/electronic microscopy are offered for ultrastructural analyses.
Service project Z2
Metabolomics
PD Dr. Katja Dettmer-Wilde (external link, opens in a new window), Functional Genomics, University of Regensburg
Prof. Dr. Wolfram Gronwald (external link, opens in a new window), Functional Genomics, University of Regensburg
Prof. Dr. Peter Oefner (external link, opens in a new window), Functional Genomics, University of Regensburg
Project Z2 will provide qualitative and quantitative analyses, both targeted and untargeted, of metabolic alterations by gas/liquid chromatography-mass spectrometry and nuclear magnetic resonance spectroscopy, including stable isotope tracer studies for metabolic pathway analysis. It will also facilitate the analysis of multidimensional data, including algorithms for scale-invariant variable selection and regularization of linear regression models, probabilistic graphic models, and estimation of individual treatment effects.
Infrastructure project INF1
Platforms for Bioinformatics Methodology and Gene Prioritisation
Prof. Dr. Iris Heid (external link, opens in a new window), Genetic Epidemiology, University of Regensburg
Prof. Dr. Merle Behr (external link, opens in a new window), Machine Learning, University of Regensburg
PD Dr. Fulvia Ferrazzi (external link, opens in a new window), Nephropathology, University Hospital Erlangen
This infrastructure project will provide bioinformatics/biostatistics platforms for high-dimensional research data analysis. Our methods platform will provide advice on biostatistical, bioinformatics and machine learning methods, their implementation and interpretation for complex data analyses, e.g. for the integration of epigenetics and other omics data (RNA-Seq, ATAC-Seq, ChIP-Seq). The Gene Prioritization Platform (KidneyGPS (external link, opens in a new window)) will provide a web-based application that allows easy access to data from genome-wide association data to support the prioritization of genes as potential targets for functional studies or drug development pipelines.