The clinical department of Prof. Dr. med Daniel Seehofer performs more than 200 surgical interventions on the liver annually. Therefore, the group has access to a broad variety of liver tissues as well as corresponding patient, clinical laboratory and characterization data. I lead the experimental work group which has a longstandind expertise in the isolation, characterization and application of primary human liver and hepatoma cells. These cells as well as data generated from established liver models were provided in multiple BMBF Research clusters and system biology and system medicine projects ( e.g. HepatoSys I&II, Virtual Liver, IMOMESIC, LivSys Transfer).
SEEK ID: https://seek.lisym.org/people/145
Location: Germany
ORCID: https://orcid.org/0000-0002-2104-8076
Joined: 1st Apr 2020
Expertise: Primary human hepatocytes, liver models, Steatosis, NPCs
Tools: Biobanking, Cell Isolation, REIMS
Related items
- Programmes (2)
- Projects (5)
- Institutions (1)
- Investigations (2)
- Studies (1)
- Assays (2)
- Data files (0+4)
- SOPs (0+3)
- Publications (8)
- Presentations (0+5)
LiSyM-Krebs ist ein nationales Forschungsnetz zur Früherkennung und Prävention von Leberkrebs, das unter Verwendung des systemmedizinischen Forschungsansatzes die komplexen, dynamischen Prozesse der Krankheitsprogression analysiert, um ausgehend von den Erkenntnissen aus dem Forschungsnetz LiSyM die Entstehung von Leberkrebs besser zu verstehen, vorherzusagen und im besten Fall sogar zu verhindern. LiSyM-Krebs setzt die erfolgreichen Forschungsaktivitäten der BMBF-Vorgängerprogramme ...
Projects: LiSyM-Krebs Partnering, Forschungsnetzwerk LiSyM-Krebs, SMART-NAFLD, DEEP-HCC network, C-TIP-HCC network
Web page: https://www.lisym-cancer.org
Liver Systems Medicine : striving to develop non-invasive methods for diagnosing and treating NAFLD by combining mathematical modeling and biological research. LiSyM, is a multidisciplinary research network, in which molecular and cell biologists, clinical researchers, pharmacologists and experts in mathematical modeling examine the liver in its entirety. LiSyM research focuses on the metabolic liver disease non-alcoholic fatty liver disease (NAFLD), which includes non-alcoholic steatohepatitis ...
Projects: LiSyM Core Infrastructure and Management (LiSyM-PD), LiSyM Pillar I: Early Metabolic Injury (LiSyM-EMI), LiSyM Pillar II: Chronic Liver Disease Progression (LiSyM-DP), LiSyM Pillar III: Regeneration and Repair in Acute-on-Chronic Liver Failure (LiSyM-ACLF), LiSyM Pillar IV: Liver Function Diagnostics (LiSyM-LiFuDi), Model Guided Pharmacotherapy In Chronic Liver Disease (LiSyM-MGP), Molecular Steatosis - Imaging & Modeling (LiSyM-MSIM), The Hedgehog Signalling Pathway (LiSyM-JGMMS), Multi-Scale Models for Personalized Liver Function Tests (LiSyM-MM-PLF), LiSyM PALs, Project Management PTJ, LiSyM network, LiSyM Scientific Leadership Team (LiSyM-LT)
Web page: https://www.lisym.org/
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, ...
Programme: LiSyM-Krebs - Systemmedizinisches Forschungsnetz zur Früherkennung und Prävention von Leberkrebs
Public web page: Not specified
Organisms: Mus musculus, Homo sapiens
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 ...
Programme: LiSyM-Krebs - Systemmedizinisches Forschungsnetz zur Früherkennung und Prävention von Leberkrebs
Public web page: Not specified
Organisms: Homo sapiens, Mus musculus, Rattus norvegicus, Rattus rattus
DEEP-HCC - Detailed Analysis of the Spatial Organization of the Development of Hepatocellular Carcinoma
Programme: LiSyM-Krebs - Systemmedizinisches Forschungsnetz zur Früherkennung und Prävention von Leberkrebs
Public web page: Not specified
Organisms: Homo sapiens, Mus musculus
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.
Programme: LiSyM: Liver Systems Medicine
Public web page: http://www.lisym.org/our-work/junior-group/hedgehog-influences
Start date: 1st Jan 2016
Organisms: Homo sapiens, Mus musculus
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.
Programme: LiSyM-Krebs - Systemmedizinisches Forschungsnetz zur Früherkennung und Prävention von Leberkrebs
Public web page: https://www.ptj.de/projektfoerderung/gesundheitsforschung/lisym-krebs
Organisms: Not specified
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 ...
Submitter: Mario Brosch
Studies: Integrated epigenetic map across three hepatic zones (pericentral, inte...
Assays: DNA-methylation at binding sites of uniformly expressed transcription fa..., DNA-methylation at binding sites of uniformly expressed transcription fa..., DNA-methylation at binding sites of uniformly expressed transcription fa..., Transcriptomic analysis of hepatocytes ( hepatic zone: intermediate (IZ), Transcriptomic analysis of hepatocytes ( hepatic zone: periportal (PP), Transcriptomic analysis of hepatocytes ; hepatic zone: pericentral (CV)
Snapshots: No snapshots
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 ...
Submitter: Martin Golebiewski
Studies: In vivo and in vitro characterization of primary human macrophages and t...
Assays: Characterization of liver macrophages (LMs) in human liver tissue sections
Snapshots: No snapshots
In this study, we investigated human LMs in tissue sections as well as isolated from human liver tissues which were characterized both in suspension and in adherent cultures to find out whether the inflammatory state of primary human LMs corresponds to patients and disease characteristics and whather it is possible to maintain the macrophage pattern in suspension as well as in adherent cultures with just a few limitations. (CCA: cholangiocarcinoma, CRLM: colorectal liver metastasis, FNH: focal ...
Submitter: René Hänsel
Investigation: Role of liver macrophages in different liver pa...
Assays: Characterization of liver macrophages (LMs) in human liver tissue sections
Snapshots: No snapshots
LMs were characterized in human liver tissue sections using immunohistochemistry and bioinformatic image analysis. Isolated cells were characterized in suspension using FACS analyses and in culture using
Submitter: René Hänsel
Assay type: Image Collection
Technology type: Imaging
Investigation: Role of liver macrophages in different liver pa...
DNA-methylation at binding sites of uniformly expressed transcription factors in human hepatocytes ; hepatic zone: intermediate (IZ)
Submitter: Olga Krebs
Assay type: Methylation Profiling
Technology type: Technology Type
Investigation: Epigenomic analysis of micro-dissected human liver
Organisms: Homo sapiens
SOPs: No SOPs
Data files: Human DNA methylation data set GSM2819639 ..., Human DNA methylation data set GSM2819641 ..., Human DNA methylation data set GSM2819642 ..., Human DNA methylation data set GSM2819643 ..., Human DNA methylation data set GSM2819647 ..., Human DNA methylation data set GSM2819640 s..., Human DNA methylation data set GSM2819644 s..., Human DNA methylation data set GSM2819645 s..., Human DNA methylation data set GSM2819646 s..., Human DNA methylation data set GSM2819648 s..., Human DNA methylation data set GSM2819650 s..., Human DNA methylation data set GSM2819651 s..., Human DNA methylation data set GSM2819652 s..., Human DNA methylation data set GSM2819653 s..., Human DNA methylation data set GSM2819654 s..., Human DNA methylation data set GSM2819655 s..., Human DNA methylation data set GSM2819656 s..., Human DNA methylation data set GSM2819657 s..., HumanDNA methylation data set GSM2819649 st...
Snapshots: No snapshots
All authors
Abstract (Expand)
Authors: Sebastian Burbano De Lara, Svenja Kemmer, Ina Biermayer, Svenja Feiler, Artyom Vlasov, Lorenza A D’Alessandro, Barbara Helm, Christina Mölders, Yannik Dieter, Ahmed Ghallab, Jan G Hengstler, Christiane Körner, Madlen Matz-Soja, Christina Götz, Georg Damm, Katrin Hoffmann, Daniel Seehofer, Thomas Berg, Marcel Schilling, Jens Timmer, Ursula Klingmüller
Date Published: 12th Jan 2024
Publication Type: Journal
DOI: 10.1038/s44320-023-00007-4
Citation: Mol Syst Biol
Abstract (Expand)
Authors: L. Seidemann, S. Prinz, J. C. Scherbel, C. Gotz, D. Seehofer, G. Damm
Date Published: 20th Jan 2023
Publication Type: Journal
PubMed ID: 36660192
Citation: EXCLI J. 2023 Jan 4;22:12-34. doi: 10.17179/excli2022-5459. eCollection 2023.
Abstract (Expand)
Authors: Paula Heinke, Fabian Rost, Julian Rode, Palina Trus, Irina Simonova, Enikő Lázár, Joshua Feddema, Thilo Welsch, Kanar Alkass, Mehran Salehpour, Andrea Zimmermann, Daniel Seehofer, Göran Possnert, Georg Damm, Henrik Druid, Lutz Brusch, Olaf Bergmann
Date Published: 1st Jun 2022
Publication Type: Journal
DOI: 10.1016/j.cels.2022.05.001
Citation: Cell Systems 13(6):499-507.e12
Abstract (Expand)
Authors: Agnieska Brazovskaja, Tomás Gomes, Christiane Körner, Zhisong He, Theresa Schaffer, Julian Connor Eckel, René Hänsel, Malgorzata Santel, Timm Denecke, Michael Dannemann, Mario Brosch, Jochen Hampe, Daniel Seehofer, Georg Damm, J. Gray Camp, Barbara Treutlein
Date Published: 3rd Jun 2021
Publication Type: Journal
DOI: 10.1101/2021.06.03.444016
Citation: biorxiv;2021.06.03.444016v1,[Preprint]
Abstract (Expand)
Authors: Andrea Zimmermann, René Hänsel, Kilian Gemünden, Victoria Kegel-Hübner, Jonas Babel, Hendrik Bläker, Madlen Matz-Soja, Daniel Seehofer, Georg Damm
Date Published: 1st Apr 2021
Publication Type: Journal
DOI: 10.3390/biomedicines9040406
Citation: Biomedicines 9(4):406