Unravel Resilience - Using Multi-Omics Integration to explore the Molecular Background of Stress Resilience
Resilience is the ability to cope with stress or to quickly recover to pre-crisis state after being exposed to extreme stress. As the human mental status is highly diverse, there are presumably many different molecular mechanisms underlying resilience. The main goal of this project is the identification of common molecular patterns between resilient individuals by analyzing and integrating various omics levels, e.g. transcriptomics, proteomics, methylomics and metagenomics. By subsequently selecting important features within the large amount of data, we aim to give a less complex view on the dynamic process of resilience. This work is funded by the Leibniz Institute for Resilience Research (LIR) and in collaboration with the Frauenhofer ITWM. MARP and LORA studies from the LIR.
Collaborations: LIR, Frauenhofer ITWM
Optimization of the Calcium Imaging Analysis Pipeline
Calcium Imaging Analysis enables researchers to track the activity of hundreds and thousands of neurons within the brains of living animals. However, analyzing this huge amount of data raises some difficulties. Together with the group of Prof. Dr. Albrecht Stroh and in collaboration with the Fraunhofer ITWM, we are following the goal of improving and accelerating the analysis of calcium imaging data, starting with the automatic marking of neurons in the generated image files using deep learning. By optimizing and simplifying the application through user-friendly interfaces of the entire analysis pipeline, the effort and time required for Calcium Imaging Analyses can be drastically reduced and will also be less dependent on personal decisions.
Collaborations: LIR, Prof. Dr. Albrecht Stroh, Frauenhofer ITWM
Molecular Changes after Different Sport duration in Alzheimer’s disease
There are several studies that investigate the effect of sport on neurodegenerative disease. However, the benefits of sport concerning the time and duration are highly controversial. In this study, the aim is to find differences in gene expression and splicing between transgenic (5xFAD) mice modeling Alzheimer’s disease and wild-type mice after two different sport duration.
Collaborations: PD Dr. Kristina Endres
The Difference of Aging Phenotypes in Drosophila melanogaster
The underlying causes for the physiological aging of an organism are very diverse. An essential feature of ageing is transcriptional change. In order to find evolutionary conserved transcriptional patterns involved in the prolongation of life and/or health span, the gene expression profiles of fruit flies with different aging profiles are analyzed and compared to human achievements. This approach might provide new insights into natural resistance to age-related changes.
Collaborations: Prof. Dr. Carsten Duch
- Charlotte Hewel, Julia Kaiser, Anna Wierczeiko, Jan Linke, Christoph Reinhardt, Kristina Endres and Susanne Gerber: Common miRNA patterns of Alzheimers disease and Parkinsons disease and their putative impact on commensal gut microbiota. Frontiers in Neuroscience, doi: 10.3389/fnins.2019.00113 (2019)
- Anna Wierczeiko, David Fournier, Hristo Todorov, Susanne Klingenberg, Kristina Endres and Susanne Gerber: Decoupling of DNA methylation status and gene expression levels in aging individuals, Genomics and Computational Biology, 4(2) p.e100040, jan. 2018. ISSN 2365-7154 (2018)