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 (BMBF) in den kommenden drei Jahren mit circa 10 Mio. Euro gefördert wird.
LiSyM-Krebs besteht aus den drei Forschungsverbünden : ** C-TIP-HCC**, SMART-NAFLD und DEEP-HCC.
Programme: LiSyM-Krebs - Systemmedizinisches Forschungsnetz zur Früherkennung und Prävention von Leberkrebs
SEEK ID: https://seek.lisym.org/projects/16
Public web page: Not specified
Organisms: Homo sapiens
FAIRDOM PALs: No PALs for this Project
Project created: 15th Jan 2021
Related items
- People (20)
- Programmes (1)
- Institutions (12)
- Investigations (0+1)
- Studies (2+1)
- Assays (7)
- Publications (5)
- Events (2+1)
- Documents (6+7)
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
Program management team LiSyM-Cancer (project and communications manager)
Former PhD student in LiSyM, at DKFZ Heidelberg in the group of Ursula Klingmüller
(née Schmitt)
Projects: LiSyM Pillar II: Chronic Liver Disease Progression (LiSyM-DP), LiSyM Pillar III: Regeneration and Repair in Acute-on-Chronic Liver Failure (LiSyM-ACLF), LiSyM network, LiSyM-Krebs Partnering, Forschungsnetzwerk LiSyM-Krebs, C-TIP-HCC network
Institutions: Universitätsklinikum Düsseldorf - Klinik für Gastroenterologie, Hepatologie und Infektiologie
Roles: Project Coordinator
Expertise: Liver injury and regeneration, Inflammation, Jak/STAT pathway, Hepatocytes, Imaging and image analysis, non parenchymal cells
Tools: Immunohistochemistry, Isolation and cultivation of mouse hepatocyte, Isolation purification and separation, Molecular Biology, Mouse surgery, Cell and tissue culture, confocal microscopy
Projects: LiSyM Pillar I: Early Metabolic Injury (LiSyM-EMI), LiSyM PALs, LiSyM network, LiSyM-Krebs Partnering, Forschungsnetzwerk LiSyM-Krebs, DEEP-HCC network
Institutions: Zentrum für Informationsdienste und Hochleistungsrechnen (ZIH), Technische Universität Dresden

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
Documents submitted to BMBF
Submitter: Olga Krebs
Investigation: 1 hidden item
Assays: Meeting minutes 2021, Meeting minutes 2022
Snapshots: No snapshots
Documents submitted to BMBF
Submitter: Olga Krebs
Investigation: 1 hidden item
Assays: Project deliverables 2021, Project deliverables 2022, Project proposals
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
Abstract (Expand)
Authors: Maarten P. Bebelman, Matthew J. Bovyn, Carlotta M. Mayer, Julien Delpierre, Ronald Naumann, Nuno P. Martins, Alf Honigmann, Yannis Kalaidzidis, Pierre A. Haas, Marino Zerial
Date Published: 3rd Apr 2023
Publication Type: Journal
Citation: Journal of Cell Biology 222(4),e202208002
Abstract (Expand)
Authors: Luisa M. Bachmann, Maria Hanl, Felix Feller, Laura Sinatra, Andrea Schöler, Jens Pietzsch, Markus Laube, Finn K. Hansen
Date Published: 1st Feb 2023
Publication Type: Journal
DOI: 10.3390/molecules28031061
Citation: Molecules 28(3):1061
Abstract (Expand)
Authors: S. Heming, P. Hansen, A. Vlasov, F. Schworer, S. Schaumann, P. Frolovaite, W. D. Lehmann, J. Timmer, M. Schilling, B. Helm, U. Klingmuller
Date Published: 26th Jan 2023
Publication Type: Journal
PubMed ID: 36699356
Citation: Bioinform Adv. 2022 Jan 17;2(1):vbac004. doi: 10.1093/bioadv/vbac004. eCollection 2022.
Abstract (Expand)
Authors: A. Friebel, T. Johann, D. Drasdo, S. Hoehme
Date Published: 30th Sep 2022
Publication Type: Journal
PubMed ID: 35976110
Citation: Bioinformatics. 2022 Sep 30;38(19):4622-4628. doi: 10.1093/bioinformatics/btac547.
Abstract (Expand)
Authors: S. Lemm, S. Kohler, R. Wodtke, F. Jung, J. H. Kupper, J. Pietzsch, M. Laube
Date Published: 7th Aug 2022
Publication Type: Journal
PubMed ID: 35954291
Citation: Cells. 2022 Aug 7;11(15). pii: cells11152447. doi: 10.3390/cells11152447.
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 2022 will be 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 ...
Start Date: 6th Oct 2022
End Date: 8th Oct 2022
Event Website: https://co.mbine.org/author/combine-2022/
Country: Germany
City: Berlin
Young Scientists Retreat (YSR) will take place from September 7th to 9th in Hofgeismar (close to Kassel) (https://tagungsstaette-hofgeismar.de/). Participation is mandatory for all PhD students, MD students and Postdocs in SMART-NAFLD, C-TIP-HCC and DEEP-HCC
Start Date: 7th Sep 2022
End Date: 9th Sep 2022
Event Website: Not specified
Country: Germany
City: Not specified
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
Creator: Olga Krebs
Submitter: Olga Krebs
Investigations: No Investigations
Studies: No Studies
Assays: No Assays
Agreement on the Use of Personal Data during LiSyM-Cancer Young Scientists Retreat Date: 07.09. -09.09.2022 Place: Ev. Tagungsstätte Hofgeismar
Creator: Olga Krebs
Submitter: Olga Krebs
Investigations: No Investigations
Studies: No Studies
Assays: No Assays