DEEP-HCC network

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 ...

Due to increasing incidence and high mortality rates, hepatocellular carcinoma (HCC) is an important health problem worldwide. However, its etiopathology and development are poorly understood. While liver metabolism is organized in spatially specific zones, little is known how the zonation is associated with the onset and propagation of liver diseases. To this end, we applied laser capture microdissection (LCM) technique to excise histologically specific features of liver tissues, healthy and ...

LiSyM-Cancer project data for integration into public repositories based on

FAIR principles

Several proteomics experimental data

OTHER OMICS DATA

METABOLOMICS

GENOMICS/TRANSCRIPTOMICS

Documents submitted to BMBF

Documents submitted to BMBF

Project proposals

Meeting minutes 2021

Meeting minutes 2022

Project deliverables 2021

Project deliverables 2022

DMPlaning 2021

DMPlaning 2022

RNA sequence data

Western blot

DNA sequence data

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.

Image for https://doi.org/10.1038/s44320-023-00007-4

The model studies the influence of hepatocyte–sinusoid alignment (HSA), i.e. the orientation of the division plane such that daughter hepatocytes align with nearby sinusoids, on the shape of tumor nodules in liver lobules. It employs the structure of the model ‘Liver Regeneration from CCl4’ (https://seek.lisym.org/models/19).

Originally, Höhme et al. (https://doi.org/10.1007/s11538-017-0375-1) employed a center-based model. Here, the model is encoded in the standardized language MorpheusML. ...

In the experimental paradigm of CCl4 intoxication of mice, hepatocytes around the central vein (located in the center of an idealized hexagonal liver lobule) are dying and are subsequently replaced by new hepatocytes, largely through activation of proliferation in the remaining hepatocytes.

Alignment of daughter hepatocytes along the orientation of the closest sinusoid, a process which is named hepatocyte-sinusoid alignment (HSA), was proposed by Höhme et al. (https://doi.org/10.1073/pnas.0909374107) ...

This model was used in the Modeling Workshop at the 2nd LiSyM-Cancer Status Seminar.

Empty SOP template based on nature protocol format and reqiremeents

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.

As a member of LiSyM-Cancer you already have a “profile” in LiSyM SEEK, i.e. your name and mail address is known to the system. You now have to register or in other words create a user name and a password. Download and watch the the short tutorial on how this works.

Sessions:

• From single cell analysis to clinical application
• Mechanistic modeling at the cellular scale proposing intervention strategies
• Tissue scale modeling and organ communication in systems medicine
• AI contributions to systems medicine - Diagnosis and therapy monitoring
• The future of systems biology

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

Workshop #1 LiSym status seminar March 2023, Dresden “Towards concordant multiomics of liver”

Group picture from Lisym-Cancer Status Seminar 2023

Agreement on the Use of Personal Data during LiSyM-Cancer Young Scientists Retreat Date: 07.09. -09.09.2022 Place: Ev. Tagungsstätte Hofgeismar

Agenda for LiSyM-Cancer status seminar 2022