Matti Hoch


Research Projects

AIR: Atlas of Inflammation Resolution

The AIR is to provide an interactive platform connecting scientific and medical communities.


Academic background

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


Selected publications

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

(Re-)Programming of Subtype Specific Cardiomyocytes

Hausburg F, Jung JJ, Hoch M, Wolfien M, Yavari A, Rimmbach C, David R

Advanced Drug Delivery Reviews

Curation of an immune cell interactome and its analysis

Matti Hoch


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

Matti Hoch


Bachelor thesis within the study degree of Medical Biotechnology