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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
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
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
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
Liver Systems Medicine : striving to develop non-invasive methods for diagnosing and treating NAFLD by combining mathematical modeling and biological research. LiSyM, is a multidisciplinary research network, in which molecular and cell biologists, clinical researchers, pharmacologists and experts in mathematical modeling examine the liver in its entirety. LiSyM research focuses on the metabolic liver disease non-alcoholic fatty liver disease (NAFLD), which includes non-alcoholic steatohepatitis ...
Projects: LiSyM Core Infrastructure and Management (LiSyM-PD), LiSyM Pillar I: Early Metabolic Injury (LiSyM-EMI), LiSyM Pillar II: Chronic Liver Disease Progression (LiSyM-DP), LiSyM Pillar III: Regeneration and Repair in Acute-on-Chronic Liver Failure (LiSyM-ACLF), LiSyM Pillar IV: Liver Function Diagnostics (LiSyM-LiFuDi), Model Guided Pharmacotherapy In Chronic Liver Disease (LiSyM-MGP), Molecular Steatosis - Imaging & Modeling (LiSyM-MSIM), The Hedgehog Signalling Pathway (LiSyM-JGMMS), Multi-Scale Models for Personalized Liver Function Tests (LiSyM-MM-PLF), LiSyM PALs, Project Management PTJ, LiSyM network, LiSyM Scientific Leadership Team (LiSyM-LT)
Web page: https://www.lisym.org/
One of the tasks of the healthy liver is to store fat. Yet, at some stage, too much fat makes the liver sick. One critical time point occurs when a healthy fatty liver becomes inflamed and progresses to steatohepatitis, or NASH. LiSyM-Pillar I will identify what events lead to this transition. Does it occur in all parts of the liver? Which molecules indicate that it is taking place? Can the degeneration be stopped or undone - and if so, how?
Programme: LiSyM: Liver Systems Medicine
Public web page: http://www.lisym.org/our-work/pillar-research/zones-of-the-liver
Start date: 1st Jan 2016
Organisms: Mus musculus, Rattus rattus, Rattus norvegicus, Homo sapiens
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
In one in five people with NAFLD, the functioning liver cells, the hepatocytes, are replaced by connective tissue. Eventually this fibrosis becomes irreversible. In this state the liver is like a ‘scar that never heals’. Through it, the liver loses many of its vital functions. LiSyM-Pillar II wants to know more about which factors promote fibrosis and the conditions under which fibrosis becomes irreversible How can fibrosis be diagnosed as early as possible? Researchers in the pillar are also ...
Programme: LiSyM: Liver Systems Medicine
Public web page: http://www.lisym.org/our-work/pillar-research
Start date: 1st Jan 2016
Organisms: Mus musculus, Rattus rattus, Rattus norvegicus, Homo sapiens
In chronic diseases, at some point the liver can suddenly stop functioning. This is called acute-on-chronic liver failure, or ACLF. This is the leading cause of death in liver patients and is often provoked by the use of transcription or freely available drugs or alcohol abuse. For this condition we need an effective treatment quickly. LiSyM-Pillar III researches the factors that contribute significantly to ACLF. What exactly happens then? Are there any early signs that would enable ACLF to be ...
Programme: LiSyM: Liver Systems Medicine
Public web page: http://www.lisym.org/our-work/pillar-research
Start date: 1st Jan 2016
Organisms: Homo sapiens, Mus musculus, Rattus norvegicus, Rattus rattus
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
DNA-methylation at binding sites of uniformly expressed transcription factors in human hepatocytes ; hepatic zone: intermediate (IZ)
Submitter: Olga Krebs
Assay type: Methylation Profiling
Technology type: Technology Type
Investigation: Epigenomic analysis of micro-dissected human liver
Organisms: Homo sapiens
SOPs: No SOPs
Data files: Human DNA methylation data set GSM2819639 ..., Human DNA methylation data set GSM2819641 ..., Human DNA methylation data set GSM2819642 ..., Human DNA methylation data set GSM2819643 ..., Human DNA methylation data set GSM2819647 ..., Human DNA methylation data set GSM2819640 s..., Human DNA methylation data set GSM2819644 s..., Human DNA methylation data set GSM2819645 s..., Human DNA methylation data set GSM2819646 s..., Human DNA methylation data set GSM2819648 s..., Human DNA methylation data set GSM2819650 s..., Human DNA methylation data set GSM2819651 s..., Human DNA methylation data set GSM2819652 s..., Human DNA methylation data set GSM2819653 s..., Human DNA methylation data set GSM2819654 s..., Human DNA methylation data set GSM2819655 s..., Human DNA methylation data set GSM2819656 s..., Human DNA methylation data set GSM2819657 s..., HumanDNA methylation data set GSM2819649 st...
Snapshots: No snapshots
Transcriptomic analysis of hepatocytes captured by laser micro-dissection from hepatic zone: pericentral (CV)
Submitter: Mario Brosch
Assay type: RNA-seq Profiling
Technology type: Rna-seq
Investigation: Epigenomic analysis of micro-dissected human liver
Organisms: Homo sapiens
SOPs: Liver tissue microdissection for RNA sequencing
Data files: Human RNA-Seq data set GSM2819677 stored in..., Human RNA-Seq data set GSM2819678 stored in..., Human RNA-Seq data set GSM2819679 stored in..., Human RNA-Seq data set GSM2819680 stored in..., Human RNA-Seq data set GSM2819681 stored in..., Human RNA-Seq data set GSM2819682 stored in..., Human RNA-Seq data set GSM2819683 stored in..., Human RNA-Seq data set GSM2819684 stored in..., Human RNA-Seq data set GSM2819685 stored in..., Human RNA-Seq data set GSM2819686 stored in..., Human RNA-Seq data set GSM2819687 stored in..., Human RNA-Seq data set GSM2819688 stored in..., Human RNA-Seq data set GSM2819689 stored in..., Human RNA-Seq data set GSM2819690 stored in..., Human RNA-Seq data set GSM2819691 stored in..., Human RNA-Seq data set GSM2819692 stored in..., Human RNA-Seq data set GSM2819693 stored in..., Human RNA-Seq data set GSM2819694 stored in..., Human RNA-Seq data set GSM2819695 stored in...
Snapshots: No snapshots
Transcriptomic analysis of hepatocytes captured by laser micro-dissection from hepatic zone: intermediate (IZ)
Submitter: Mario Brosch
Assay type: RNA-seq Profiling
Technology type: Rna-seq
Investigation: Epigenomic analysis of micro-dissected human liver
Organisms: Homo sapiens
SOPs: Liver tissue microdissection for RNA sequencing
Data files: Human RNA-Seq data set GSM2819696 stored in..., Human RNA-Seq data set GSM2819697 stored in..., Human RNA-Seq data set GSM2819698 stored in..., Human RNA-Seq data set GSM2819699 stored in..., Human RNA-Seq data set GSM2819700 stored in..., Human RNA-Seq data set GSM2819701 stored in..., Human RNA-Seq data set GSM2819702 stored in..., Human RNA-Seq data set GSM2819703 stored in..., Human RNA-Seq data set GSM2819704 stored in..., Human RNA-Seq data set GSM2819705 stored in..., Human RNA-Seq data set GSM2819706 stored in..., Human RNA-Seq data set GSM2819707 stored in..., Human RNA-Seq data set GSM2819708 stored in..., Human RNA-Seq data set GSM2819709 stored in..., Human RNA-Seq data set GSM2819710 stored in..., Human RNA-Seq data set GSM2819711 stored in..., Human RNA-Seq data set GSM2819712 stored in..., Human RNA-Seq data set GSM2819713 stored in..., Human RNA-Seq data set GSM2819714 stored in...
Snapshots: No snapshots
Transcriptomic analysis of hepatocytes captured by laser micro-dissection from hepatic zone: : periportal (PP)
Submitter: Mario Brosch
Assay type: RNA-seq Profiling
Technology type: Rna-seq
Investigation: Epigenomic analysis of micro-dissected human liver
Organisms: Homo sapiens
SOPs: Liver tissue microdissection for RNA sequencing
Data files: Human RNA-Seq data set GSM2819715 stored in..., Human RNA-Seq data set GSM2819716 stored in..., Human RNA-Seq data set GSM2819717 stored in..., Human RNA-Seq data set GSM2819718 stored in..., Human RNA-Seq data set GSM2819719 stored in..., Human RNA-Seq data set GSM2819720 stored in..., Human RNA-Seq data set GSM2819721 stored in..., Human RNA-Seq data set GSM2819722 stored in..., Human RNA-Seq data set GSM2819723 stored in..., Human RNA-Seq data set GSM2819724 stored in..., Human RNA-Seq data set GSM2819725 stored in..., Human RNA-Seq data set GSM2819726 stored in..., Human RNA-Seq data set GSM2819727 stored in..., Human RNA-Seq data set GSM2819728 stored in..., Human RNA-Seq data set GSM2819729 stored in..., Human RNA-Seq data set GSM2819730 stored in..., Human RNA-Seq data set GSM2819731 stored in..., Human RNA-Seq data set GSM2819732 stored in..., Human RNA-Seq data set GSM2819733 stored in...
Snapshots: No snapshots
DNA-methylation at binding sites of uniformly expressed transcription factors in human hepatocytes ; hepatic zone: pericentral (CV)
Submitter: Mario Brosch
Assay type: Methylation Profiling
Technology type: Technology Type
Investigation: Epigenomic analysis of micro-dissected human liver
Organisms: Homo sapiens
SOPs: No SOPs
Data files: Human DNA methylation data set GSM2819627 sto..., Human DNA methylation data set GSM2819634 ..., Human DNA methylation data set GSM2819636 ..., Human DNA methylation data set GSM2819638 ..., Human DNA methylation data set GSM2819621 stor..., Human DNA methylation data set GSM2819622 stor..., Human DNA methylation data set GSM2819623 stor..., Human DNA methylation data set GSM2819629 s..., Human DNA methylation data set GSM2819630 s..., Human DNA methylation data set GSM2819631 s..., Human DNA methylation data set GSM2819632 s..., Human DNA methylation data set GSM2819633 s..., Human DNA methylation data set GSM2819635 s..., Human DNA methylation data set GSM2819637 s..., Human DNA methylation data set GSM2819624 stor..., Human DNA methylation data set GSM2819625 store..., Human DNA methylation data set GSM2819626 store..., Human DNA methylation data set GSM2819628 store..., HumanDNA methylation data set GSM2819620 st...
Snapshots: No snapshots
Code for the bile flow model in Segovia-Miranda et al.: Three-dimensional spatially resolved geometrical and functional models of human liver tissue reveal new aspects of NAFLD progression (https://www.nature.com/articles/s41591-019-0660-7)
See the README file in the link for details installing and running the code.
Creators: Michael Kücken, Lutz Brusch
Submitter: Michael Kücken
Model type: Ordinary differential equations (ODE)
Model format: Not specified
Environment: Not specified
Abstract (Expand)
Authors: F. Segovia-Miranda, H. Morales-Navarrete, M. Kucken, V. Moser, S. Seifert, U. Repnik, F. Rost, M. Brosch, A. Hendricks, S. Hinz, C. Rocken, D. Lutjohann, Y. Kalaidzidis, C. Schafmayer, L. Brusch, J. Hampe, M. Zerial
Date Published: 2nd Dec 2019
Publication Type: Not specified
PubMed ID: 31792455
Citation: Nat Med. 2019 Dec 2. pii: 10.1038/s41591-019-0660-7. doi: 10.1038/s41591-019-0660-7.