Forschungsnetzwerk LiSyM-Krebs

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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

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Alain Becam

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

Nikolaus Berndt

Projects: LiSyM-Krebs Partnering, LiSyM network, LiSyM Pillar IV: Liver Function Diagnostics (LiSyM-LiFuDi), Forschungsnetzwerk LiSyM-Krebs, DEEP-HCC network

Institutions: Charité - Universitätsmedizin Berlin, Institute of Biochemistry, Computational Systems Biochemistry Group

Ina Biermayer

Projects: LiSyM network, LiSyM Pillar III: Regeneration and Repair in Acute-on-Chronic Liver Failure (LiSyM-ACLF), SMART-NAFLD, Forschungsnetzwerk LiSyM-Krebs, DEEP-HCC network, C-TIP-HCC network

Institutions: Deutsches Krebsforschungszentrum, HITS gGmbH

Roles: PhD Student, Postdoc

Expertise: Molecular Biology, Primary human hepatocytes, Systems Biology, wet lab, Signal transduction, Proteomics

Tools: Cell and tissue culture, Cell Isolation, Isolation and cultivation of mouse hepatocyte, Molecular Biology

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)

Johannes Bode

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LiSyM-Krebs - Systemmedizinisches Forschungsnetz zur Früherkennung und Prävention von Leberkrebs

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

Charité - Universitätsmedizin Berlin, Institute of Biochemistry, Computational Systems Biochemistry Group

Country: Germany

City: 10117 Berlin

Web page: https://biochemie.charite.de/

Deutsches Krebsforschungszentrum

Country: Germany

City: 69120 Heidelberg

Web page: http://www.dkfz.de

Helmholtz-Zentrum Dresden-Rossendorf

Country: Germany

City: Dresden

Web page: https://www.hzdr.de

HITS gGmbH

Country: Germany

City: 69118 Heidelberg

Web page: https://www.h-its.org/

Leibniz-Institut für Arbeitsforschung (IfADo)

Country: Germany

City: 44139 Dortmund

Web page: http://www.ifado.de/

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1 hidden item

Meeting minutes

Forschungsnetzwerk LiSyM-Krebs, SMART-NAFLD, DEEP-HCC network, C-TIP-HCC network

Documents submitted to BMBF

Submitter: Olga Krebs

Investigation: 1 hidden item

Assays: Meeting minutes 2021, Meeting minutes 2022

Snapshots: No snapshots

Created: 8th Feb 2021 at 09:17

Documents submitted to BMBF

Forschungsnetzwerk LiSyM-Krebs, SMART-NAFLD, DEEP-HCC network, C-TIP-HCC network

Documents submitted to BMBF

Submitter: Olga Krebs

Investigation: 1 hidden item

Assays: Project deliverables 2021, Project deliverables 2022, Project proposals

Snapshots: No snapshots

Created: 8th Feb 2021 at 09:16

1 hidden item

Project proposals

Forschungsnetzwerk LiSyM-Krebs, SMART-NAFLD, DEEP-HCC network, C-TIP-HCC network

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

Created: 8th Feb 2021 at 09:20, Last updated: 8th Feb 2021 at 09:21

Meeting minutes 2021

Forschungsnetzwerk LiSyM-Krebs, SMART-NAFLD, DEEP-HCC network, C-TIP-HCC network

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

Created: 8th Feb 2021 at 09:25

Meeting minutes 2022

Forschungsnetzwerk LiSyM-Krebs, SMART-NAFLD, DEEP-HCC network, C-TIP-HCC network

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

Created: 8th Feb 2021 at 09:25

Project deliverables 2021

Forschungsnetzwerk LiSyM-Krebs, SMART-NAFLD, DEEP-HCC network, C-TIP-HCC network

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

Created: 8th Feb 2021 at 09:26

Project deliverables 2022

Forschungsnetzwerk LiSyM-Krebs, SMART-NAFLD, DEEP-HCC network, C-TIP-HCC network

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

Created: 8th Feb 2021 at 09:26

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Hepatocyte apical bulkheads provide a mechanical means to oppose bile pressure

Forschungsnetzwerk LiSyM-Krebs, DEEP-HCC network

Abstract (Expand)

Hepatocytes grow their apical surfaces anisotropically to generate a 3D network of bile canaliculi (BC). BC elongation is ensured by apical bulkheads, membrane extensions that traverse the lumen and …

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

DOI: 10.1083/jcb.202208002

Citation: Journal of Cell Biology 222(4),e202208002

Created: 8th Feb 2023 at 18:16, Last updated: 8th Feb 2023 at 18:16

Solid-Phase Parallel Synthesis of Dual Histone Deacetylase-Cyclooxygenase Inhibitors

Forschungsnetzwerk LiSyM-Krebs, DEEP-HCC network

Abstract (Expand)

Multi-target drugs (MTDs) are emerging alternatives to combination therapies. Since both histone deacetylases (HDACs) and cyclooxygenase-2 (COX-2) are known to be overexpressed in several cancer types, …

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

Created: 26th Jan 2023 at 08:09, Last updated: 26th Jan 2023 at 08:10

MSPypeline: a python package for streamlined data analysis of mass spectrometry-based proteomics.

LiSyM network, Forschungsnetzwerk LiSyM-Krebs, SMART-NAFLD, C-TIP-HCC network

Abstract (Expand)

SUMMARY: Mass spectrometry-based proteomics is increasingly employed in biology and medicine. To generate reliable information from large datasets and ensure comparability of results, it is crucial to …

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.

Created: 13th Mar 2023 at 09:39

Guided interactive image segmentation using machine learning and color-based image set clustering.

LiSyM network, Forschungsnetzwerk LiSyM-Krebs, SMART-NAFLD, C-TIP-HCC network

(Show All)

Abstract (Expand)

MOTIVATION: Over the last decades, image processing and analysis have become one of the key technologies in systems biology and medicine. The quantification of anatomical structures and dynamic processes …

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.

Created: 13th Mar 2023 at 09:36

Investigation of Radiotracer Metabolic Stability In Vitro with CYP-Overexpressing Hepatoma Cell Lines.

Forschungsnetzwerk LiSyM-Krebs, DEEP-HCC network

Abstract (Expand)

The characterization of novel radiotracers toward their metabolic stability is an essential part of their development. While in vitro methods such as liver microsome assays or ex vivo blood or tissue …

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.

Created: 17th Nov 2022 at 07:46, Last updated: 17th Nov 2022 at 07:48

COMBINE 2022 (Computational Modeling in Biology Network Meeting)

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

Created: 25th Jan 2023 at 19:10

LiSyM Cancer Young Scientists Retreat (YSR)

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