DEEP-HCC network

Overview

Overview
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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

SEEK ID: https://seek.lisym.org/projects/18

Public web page: Not specified

Organisms: Homo sapiens, Mus musculus

FAIRDOM PALs: No PALs for this Project

Project created: 1st Dec 2021

Related items

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

Thomas Berg

Projects: LiSyM-Krebs Partnering, SMART-NAFLD, DEEP-HCC network

Institutions: Universitätsklinikum Leipzig - Klinik und Poliklinik für Gastroenterologie, Sektion Hepatologie, Universität Leipzig - Sächsischer Inkubator für Klinische Translation (SIKT)

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

née Schmitt

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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: Not specified

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

Country: Germany

City: 10117 Berlin

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

Max Planck Institute of Molecular Cell Biology and Genetics

Country: Germany

City: 01307 Dresden

Web page: https://mpi-cbg.de

Universität Leipzig - Sächsischer Inkubator für Klinische Translation (SIKT)

Country: Germany

City: Leipzig

Web page: https://sikt.uni-leipzig.de/

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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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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

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

Fibrogenic Pathways in Metabolic Dysfunction Associated Fatty Liver Disease (MAFLD).

DEEP-HCC network

Abstract (Expand)

The prevalence of nonalcoholic fatty liver disease (NAFLD), recently also re-defined as metabolic dysfunction associated fatty liver disease (MAFLD), is rapidly increasing, affecting ~25% of the world …

Authors: P. Subramanian, J. Hampe, F. Tacke, T. Chavakis

Date Published: 23rd Jun 2022

Publication Type: Journal

PubMed ID: 35805998

Citation: Int J Mol Sci. 2022 Jun 23;23(13). pii: ijms23136996. doi: 10.3390/ijms23136996.

Created: 17th Oct 2022 at 13:34

Diploid hepatocytes drive physiological liver renewal in adult humans

DEEP-HCC network

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Abstract (Expand)

Physiological liver cell replacement is central to maintaining the organ’s high metabolic activity, although its characteristics are difficult to study in humans. Using retrospective radiocarbon (14C) …

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

Created: 25th Jan 2023 at 16:39, Last updated: 25th Jan 2023 at 16:48

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