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 HepatoSys / HepatoSys II, Die Virtuelle Leber und vor allem LiSyM fort. Diese haben einen wichtigen Beitrag zur Aufklärung verschiedener physiologischer Prozesse der gesunden und kranken Leber wie Verfettung, Entzündung und Regeneration geleistet. Mit Hilfe des systembiologischen und -medizinischen Forschungsansatzes konnten die Forschungsverbünde sogenannte Multiskalen-Modelle zur Beschreibung der Leberprozesse aufstellen. Die dort gewonnenen Erkenntnisse fließen nun in die Umsetzung der Ziele des Forschungsnetzes LiSyM-Krebs ein. Das neue Netzwerk hat am 1. Juli 2021 seine Arbeit aufgenommen. Es besteht aus interdisziplinären Kooperationen aus den Bereichen Medizin, Informatik, mathematischer Modellierung und Molekularbiologie, die in drei Verbundvorhaben organisiert sind. Die Forschungsgruppen untersuchen klinisch-relevante Fragestellungen und Ziele. Mit Hilfe sogenannter Multiskalen-Ansätzen versuchen sie, den kritischen „Kipp-Punkt“ am Übergang von einer Fettlebererkrankung zum Lebertumor zu identifizieren. Zum anderen wollen sie die Diagnose früher Leberkrebsstadien verbessern. Darüber hinaus haben sie sich das Ziel gesetzt, verlässliche, nicht-invasive Verfahren zur Diagnose sowie individualisierte Therapiemöglichkeiten zu entwickeln. Neben den Forschungsverbünden fördert das BMBF ein eigenes Programm-Management zur Steuerung des Netzwerks sowie ein zentrales Daten-Management.
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.
Web page: https://www.lisym-cancer.org
Funding details:Related items
- People (89)
- Projects (5)
- Institutions (46)
- Investigations (1+3)
- Studies (7+3)
- Assays (10+11)
- Data files (2+9)
- Models (2)
- SOPs (3+8)
- Publications (69)
- Presentations (0+57)
- Events (9+5)
- Documents (9+13)
- Samples (0+3)
Projects: LiSyM network, Forschungsnetzwerk LiSyM-Krebs, LiSyM Pillar II: Chronic Liver Disease Progression (LiSyM-DP), LiSyM Core Infrastructure and Management (LiSyM-PD), LiSyM Pillar III: Regeneration and Repair in Acute-on-Chronic Liver Failure (LiSyM-ACLF), DEEP-HCC network
Institutions: HITS gGmbH
Projects: LiSyM-Krebs Partnering
Institutions: Roche Pharma AG
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
C-TIP-HCC- Mechanism-based Multiscale Model to Dissect the Tipping Point from Liver Cirrhosis to Hepatocellular Carcinoma
The ultimate goal of the C-TIP-HCC is a „mechanistic multiscale model to describe dynamic changes in regenerative nodes across a tipping point (TIP) towards development in patients with cirrhosis to facilitate early monitoring and intervention“ and facilitate intervention“. To achieve this, we will conduct in-depth studies on cirrhotic regenerative nodes.
Programme: LiSyM-Krebs - Systemmedizinisches Forschungsnetz zur Früherkennung und Prävention von Leberkrebs
Public web page: Not specified
Organisms: Homo sapiens, Mus musculus
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
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
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
LiSyM-Cancer project data for integration into public repositories based on
Submitter: Olga Krebs
Studies: GENOMICS/TRANSCRIPTOMICS, METABOLOMICS, OTHER OMICS DATA, PROTEOMICS
Assays: DNA sequence data, RNA sequence data, Western blot
Snapshots: No snapshots
OTHER OMICS DATA
Submitter: Olga Krebs
Investigation: LiSyM-Cancer project data for integration into...
Assays: No Assays
Snapshots: No snapshots
METABOLOMICS
Submitter: Olga Krebs
Investigation: LiSyM-Cancer project data for integration into...
Assays: No Assays
Snapshots: No snapshots
PROTEOMICS
Submitter: Olga Krebs
Investigation: LiSyM-Cancer project data for integration into...
Assays: Western blot
Snapshots: No snapshots
GENOMICS/TRANSCRIPTOMICS
Submitter: Olga Krebs
Investigation: LiSyM-Cancer project data for integration into...
Assays: DNA sequence data, RNA sequence data
Snapshots: No snapshots
In this study, we characterize Western diet-induced phenotypic changes in murine 392 hepatocytes and employ dynamic pathway modelling to resolve the underlying molecular 393 mechanisms resulting in altered intracellular signal transduction and enhanced proliferation 394 of WD hepatocytes.
Snapshots: No snapshots
Project proposals
Submitter: Olga Krebs
Biological problem addressed: Model Analysis Type
Investigation: 1 hidden item
Study: Documents submitted to BMBF
Organisms: No organisms
Models: No Models
SOPs: No SOPs
Data files: No Data files
Snapshots: No snapshots
Meeting minutes 2021
Submitter: Olga Krebs
Biological problem addressed: Model Analysis Type
Investigation: 1 hidden item
Study: Meeting minutes
Organisms: No organisms
Models: No Models
SOPs: No SOPs
Data files: No Data files
Snapshots: No snapshots
Meeting minutes 2022
Submitter: Olga Krebs
Biological problem addressed: Model Analysis Type
Investigation: 1 hidden item
Study: Meeting minutes
Organisms: No organisms
Models: No Models
SOPs: No SOPs
Data files: No Data files
Snapshots: No snapshots
Project deliverables 2021
Submitter: Olga Krebs
Biological problem addressed: Model Analysis Type
Investigation: 1 hidden item
Study: Documents submitted to BMBF
Organisms: No organisms
Models: No Models
SOPs: No SOPs
Data files: No Data files
Snapshots: No snapshots
Project deliverables 2022
Submitter: Olga Krebs
Biological problem addressed: Model Analysis Type
Investigation: 1 hidden item
Study: Documents submitted to BMBF
Organisms: No organisms
Models: No Models
SOPs: No SOPs
Data files: No Data files
Snapshots: No snapshots
Primary hepatocytes from a preclinical mouse model fed with high-sugar and high-fat diet are used to develop a data-based mathematical model that identifies the basal phosphorylation rate of the tyrosine kinase receptor MET as the main dysregulated parameter driving fatty liver disease.
Creators: Sebastian Burbano De Lara, Ursula Klingmüller
Submitter: Olga Krebs
Investigations: No Investigations
Studies: No Studies
Assays: No Assays
Raw data of RNA-seq analysis of primary murine hepatocytes treated with Hh modulating compounds
Creators: None
Submitter: Fritzi Ott
Investigations: No Investigations
Studies: No Studies
Assays: No Assays
Creator: Andreas Weidemann
Submitter: Andreas Weidemann
Model type: Stoichiometric model
Model format: SBML
Environment: Copasi
Organism: Not specified
Investigations: No Investigations
Studies: No Studies
Assays: No Assays
This model was used in the Modeling Workshop at the 2nd LiSyM-Cancer Status Seminar.
Creator: Lutz Brusch
Submitter: Lutz Brusch
Model type: Agent based modelling
Model format: MorpheusML
Environment: Morpheus
Organism: Not specified
Investigations: No Investigations
Studies: No Studies
Assays: No Assays
This protocol details the RNAseq sample preparation starting with mRNA and ending with quality control of finished libraries. This protocol was used specifically for virus mRNA samples related to ORFeome lab group.
Creators: Olga Krebs, Marcia Sanders (marcia_sanders@unc.edu), Anne Beall (aebeall@email.unc.edu
Submitter: Olga Krebs
Investigations: LiSyM-Cancer project data for integration into...
Studies: GENOMICS/TRANSCRIPTOMICS
Assays: RNA sequence data
SOP Western diat mouse housing and feeding
Creator: Ina Biermayer
Submitter: Olga Krebs
Investigations: 1 hidden item
Studies: Proteomic alterations in Western Diet (WD) hepa...
Assays: 2 hidden items
Isolation of primary mouse hepatocytes
Creators: Ina Biermayer, Ursula Klingmüller
Submitter: Olga Krebs
Investigations: 1 hidden item
Studies: Proteomic alterations in Western Diet (WD) hepa...
Assays: 2 hidden items
Abstract
Authors: Yoon Seok Jung, Kamalakannan Radhakrishnan, Seddik Hammad, Sebastian Müller, Johannes Müller, Jung-Ran Noh, Jina kim, In-Kyu Lee, Sung Jin Cho, Don-Kyu Kim, Yong-Hoon Kim, Chul-Ho Lee, Steven Dooley, Hueng-Sik Choi
Date Published: 1st Mar 2024
Publication Type: Journal
DOI: 10.1016/j.redox.2024.103107
Citation: Redox Biology:103107
Abstract (Expand)
Authors: Barbara Helm, Pauline Hansen, Li Lai, Luisa Schwarzmüller, Simone M. Clas, Annika Richter, Max Ruwolt, Fan Liu, Dario Frey, Lorenza A. D’Alessandro, Wolf-Dieter Lehmann, Marcel Schilling, Dominic Helm, Dorothea Fiedler, Ursula Klingmüller
Date Published: 21st Feb 2024
Publication Type: Journal
DOI: 10.1101/2024.02.19.580971
Citation:
Abstract (Expand)
Authors: Xuan Peng, Željko Janićijević, Sandy Lemm, Sandra Hauser, Michael Knobel, Jens Pietzsch, Michael Bachmann, Larysa Baraban
Date Published: 25th Jan 2024
Publication Type: Journal
Citation: Adv Healthcare Materials,2302609
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: Frederik Link, Yujia Li, Jieling Zhao, Stefan Munker, Weiguo Fan, Zeribe Nwosu, Ye Yao, Seddik Hammad, Roman Liebe, Hui Liu, Chen Shao, Bing Sun, Natalie J. Török, Huiguo Ding, Matthias P. A. Ebert, Hong-Lei Weng, Peter ten Dijke, Dirk Drasdo, Steven Dooley, Sai Wang
Date Published: 12th Dec 2023
Publication Type: Journal
DOI: 10.1101/2023.12.12.571289
Citation: biorxiv;2023.12.12.571289v2,[Preprint]
The “Computational Modeling in Biology” Network (COMBINE) is an initiative to coordinate the development of the various community standards and formats in systems biology and related fields. COMBINE 2024 is a workshop-style event with oral presentations, breakout sessions and tutorials. The three meeting days will include talks about the COMBINE standards and associated or related standardization efforts, presentations of tools using these standards, breakout sessions for detailed discussions as ...
Start Date: 1st Sep 2024 (1st Sep 2024 (Europe/Berlin))
End Date: 3rd Sep 2024 (3rd Sep 2024 (Europe/Berlin))
Event Website: https://co.mbine.org/author/combine-2024/
Country: Germany
City: Stuttgart
The “Computational Modeling in Biology” Network (COMBINE) is an initiative to coordinate the development of the various community standards and formats in systems biology, synthetic biology and related fields. HARMONY is a codefest-type meeting, with a focus on development of the standards, interoperability and infrastructure. There are generally not many general discussions or oral presentations during HARMONY; instead, the time is devoted to allowing hands-on hacking and interaction between ...
Start Date: 8th Apr 2024 (8th Apr 2024 (Europe/London))
End Date: 11th Apr 2024 (11th Apr 2024 (Europe/London))
Event Website: https://co.mbine.org/author/harmony-2024/
Country: United Kingdom
City: London
Just over 30 years ago, the cellular Potts model (CPM) was introduced to explain experimental observations of spontaneous cell sorting in embryonic tissue cultures. In the years since, the CPM evolved into a powerful model framework for simulating a wide range of physical and biological processes – from foam physics to tissue development, cancer growth, angiogenesis, plant development, evolution, immune responses, and cell migration. Having just celebrated the 30th birthday of the CPM, now is a ...
Start Date: 18th Dec 2023 (18th Dec 2023 (Europe/Amsterdam))
End Date: 22nd Dec 2023 (22nd Dec 2023 (Europe/Amsterdam))
Event Website: https://www.lorentzcenter.nl/simulating-tissue-dynamics-with-cellular-potts-models.html
Country: Netherlands
City: Leiden
The “Computational Modeling in Biology” Network (COMBINE) is an initiative to coordinate the development of the various community standards and formats in systems biology and related fields. COMBINE 2023 is a workshop-style event with oral presentations, breakout sessions and tutorials. The three meeting days will include talks about the COMBINE standards and associated or related standardization efforts, presentations of tools using these standards, breakout sessions for detailed discussions as ...
Start Date: 5th Oct 2023 (5th Oct 2023 (America/New_York))
End Date: 7th Oct 2023 (7th Oct 2023 (America/New_York))
Event Website: https://co.mbine.org/author/combine-2023/
Country: United States
City: Farmington, CT
The Computational Modeling in Biology Network (COMBINE) is an initiative to coordinate the development of the various community standards and formats in systems biology, synthetic biology and related fields. HARMONY is a codefest-type meeting, with a focus on development of the standards, interoperability and infrastructure. There are generally not many general discussions or oral presentations during HARMONY; instead, the time is devoted to allowing hands-on hacking and interaction between people ...
Start Date: 24th Apr 2023
End Date: 27th Apr 2023
Event Website: https://co.mbine.org/author/harmony-2023/
Country: United States
City: Seattle
Creators: Ina Biermayer, Susan Eckerle
Submitter: Maja Rey
Investigations: No Investigations
Studies: No Studies
Assays: No Assays
Creators: Ina Biermayer, Susan Eckerle
Submitter: Maja Rey
Investigations: No Investigations
Studies: No Studies
Assays: No Assays
Workshop #1 LiSym status seminar March 2023, Dresden “Towards concordant multiomics of liver”
Creators: Andrej Shevchenko, Ursula Klingmüller
Submitter: Olga Krebs
Investigations: No Investigations
Studies: No Studies
Assays: No Assays
Group picture from Lisym-Cancer Status Seminar 2023
Creators: Olga Krebs, Ina Biermayer, Susan Eckerle
Submitter: Olga Krebs
Investigations: No Investigations
Studies: No Studies
Assays: No Assays
Creators: Ursula Klingmüller, Ina Biermayer, Susan Eckerle
Submitter: Ursula Klingmüller
Investigations: No Investigations
Studies: No Studies
Assays: No Assays