Madlen Matz-Soja

Forschungsnetzwerk zur Früherkennung und Prävention- LiSyM-Krebs

Ein Netzwerk von Klinikern, Wissenschaftlern und Datenmanagern hat sich zur Aufgabe gemacht, Methoden zu entwickeln, um Patienten mit einem hohen Risiko für ein Leberkarzinom frühzeitig, in Vorstadien der Tumorentwicklung, identifizieren zu können. Gemeinsam bilden sie das „Systemmedizinische Forschungsnetzwerk zur Früherkennung und Prävention von Leberkrebs“, LiSym-Krebs, das vom Bundesministerium für Bildung und Forschung ...

SMART-NAFLD : A Systems Medicine Approach to Early Detection and Prevention of Hepatocellular Carcinoma in Non-Alcoholic Fatty Liver Disease

The massive increase in obesity is leading to an alarming rise in non-alcoholic liver disease (NAFLD). This development will lead to a dramatic increase in liver diseases such as hepatocellular carcinoma (HCC). A particular challenge is that NAFLD-associated HCCs, for reasons still unknown, not only occur in association with advanced liver fibrosis/cirrhosis, ...

DEEP-HCC - Detailed Analysis of the Spatial Organization of the Development of Hepatocellular Carcinoma

This generic project is intended to be a forum for all LiSyM partner and external stakeholders interested in participating in the BMBF initiative LiSyM-Krebs.

This comprises the whole LiSyM network

Dr. Madlen Matz-Soja (University of Leipzig) investigates the importance of a control mechanism - the hedgehog signaling pathway - for fatty liver disease. She has shown that the signaling pathway directs how liver cells in NAFLD accumulate fat. Hedgehog also affects sex hormones in the liver. Therefore, Matz-Soya hopes to clarify why women and men suffer from cirrhosis and liver cancer with varying degrees of frequency.

This is a generic project that comprises all LiSyM data management PALs and associated FAIRDOM PALs, as well as the LiSyM data management team. Olga Maja Alain

Day-to-day science within the LiSyM is overseen and directed by the the LiSyM Scientific Leadership Team. This coordination team comprises the pillar coordinators and additional LiSyM members, and ensures smooth interaction between multi-skilled groups, often working in different institutions and across significant distances within Germany.

To investigate the underlying molecular principles of metabolic and morphogenic zonation of the human liver lobule, we generated an integrated epigenetic map across three zones (pericentral, intermediate and periportal) by methylation and transcriptomic analysis of hepatocytes captured by laser micro-dissection. We observe a deep link between epigenetic zonation of human liver and a zonated expression of metabolic and morphogenic pathways: Key transcriptionally zonated enzymes in xenobiotic and ...

Liver macrophages (LMs) play a central role in acute and chronic liver pathologies. In our study, we sought to gain further insight into the role of LMs in different liver pathologies and into their characteristics after isolation from liver tissue. Here we will characterize LMs in human liver tissue sections using immunohistochemistry and bioinformatic image analysis. We investigate liver tissues characterized by antiinflammatory LMs which show a homogeneous distribution and increased cell numbers ...

DNA-methylation at binding sites of uniformly expressed transcription factors in human hepatocytes ; hepatic zone: intermediate (IZ)

Metabolic capacities of the Intermediate zone

LFQ intensities of the model protein subset with imputed missing values highlighted in yellow.

List of proteins that are significantly higher abundant in the portal zone (sheet 1: from the subset of model proteins, sheet 3: from whole proteome) or in the central zone (sheet 2: from the subset of model proteins, sheet 4: from whole proteome).

LFQ intensities and protein IDs of the 3736 proteins of the proteome for the 18 samples.

Scaling of the maximal enzyme activities for the 226 modelled processes for portal and central zone of the 6 mice.

Raw data metabolom study Kolbe et al.

Raw data metabolomics Kolbe et al.

Poster

Poster

Poster

Power Point description