SBI – Department of Systems Biology and Bioinformatics
Faculty of Computer Science and Electrical Engineering
University of Rostock
Ulmenstrasse 69 | 18057 Rostock
+49 381 498-7571
In collaboration with the Division of Gastroenterology at the Rostock University Medical Center (as part of the EnErGie project) we are developing an in-depth, standardized, and computationally encoded disease map of the molecular interactions regulating muscle growth and function. We integrated the two disease states intestinal dysfunctions (ID) and liver cirrhosis (LC) into the map to investigate their contribution to the loss of muscle function (sarcopenia).
The AIR is to provide an interactive platform connecting scientific and medical communities.
|2019 - present||PhD Student at the SBI|
|2017 - 2019||Master's degree in Medical Biotechnology, University of Rostock|
|2014 - 2017||Bachelor's degree in Medical Biotechnology, University of Rostock|
In silico investigation of molecular networks linking gastrointestinal diseases, malnutrition, and sarcopenia
Hoch M, Ehlers L, Bannert K, Stanke C, Brauer C, Caton V, Lamprecht G, Wolkenhauer O, Jaster R, Wolfien M
Network- and enrichment-based inference of phenotypes and targets from large-scale disease maps
Hoch M, Smita S, Cesnulevicius K, Lescheid D, Schultz M, Wolkenhauer O, Gupta S
The Atlas of Inflammation-Resolution (AIR)
Serhan CN, Gupta SK, ... , Smita S, Schopohl P, Hoch M, Gjorgevikj D, Khan FM, Brauer D, ... , Wolkenhauer O
A systems appraoch to investigate inflammation resolution by multicomponent medicinal product TR14
Schopohl P, Smita S, Khan F, Gebhardt T, Hoch M, Brauer D, Cesnulevicius D, Schultz M, Wolkenhauer O, Gupta S
Curation of an immune cell interactome and its analysis
Master thesis within the study degree of Medical Biotechnology
The interconnectivity of immune cells has been the subject of research numerously due to its importance in different diseases such as autoimmune defects, (microbial) infections and cancer. Various cell types have already been identified that are regulated by a complex network of cytokines and small molecules, of which many may not have been discovered yet. Therefore, it is of great interest to understand these mechanisms as they form the basis for drug development and therapy design. In this project, methods were described to create and analyze a cell interactome of molecular intra- and intercellular communication processes. Many molecular interaction maps (MIMs) have already been developed to evaluate molecular processes in certain diseases or cells. However, they either lacked essential information necessary for accurate modeling of cell-cell interactions or were poorly clinically assessed. Here, systems biology-based rules were defined to model the molecular pathways of intercellular interactions of cells in detail. By mapping expression data of immune cell samples, individual cellular MIMs were created automatically and validated by comparing the results with the current knowledge in the field of immunology. In addition to analyzing intracellular signaling pathways, intercellular communication processes were investigated by connecting the MIMs. The outcomes of this work improve the system biology modeling of molecular interaction networks and further provide the basis for the efficient development of complex intercellular networks to investigate biological and molecular processes in silico.
Identification of activated signaling pathways in cardiac stem cell types by using network analysis
Bachelor thesis within the study degree of Medical Biotechnology