SEEK ID: https://seek.lisym.org/people/49
Location: Germany
ORCID: Not specified
Joined: 23rd May 2017
Expertise: Not specified
Tools: Not specified
Related items
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- Projects (5)
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- Samples (114)
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
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/
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, 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
This generic project is intended to be a forum for all LiSyM partner and external stakeholders interested in participating in the BMBF initiative LiSyM-Krebs.
Programme: LiSyM-Krebs - Systemmedizinisches Forschungsnetz zur Früherkennung und Prävention von Leberkrebs
Public web page: https://www.ptj.de/projektfoerderung/gesundheitsforschung/lisym-krebs
Organisms: Not specified
This comprises the whole LiSyM network
Programme: LiSyM: Liver Systems Medicine
Public web page: http://www.lisym.org
Start date: 1st Jan 2016
Organisms: Rattus norvegicus, Rattus rattus, Mus musculus, Homo sapiens
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
To investigate the underlying molecular principles of metabolic and morphogenic zonation of the human liver lobule, we generated an integrated epigenetic map across three zones (pericentral, intermediate and periportal) by methylation and transcriptomic analysis of hepatocytes captured by laser micro-dissection. We observe a deep link between epigenetic zonation of human liver and a zonated expression of metabolic and morphogenic pathways: Key transcriptionally zonated enzymes in xenobiotic and ...
Submitter: Mario Brosch
Studies: Integrated epigenetic map across three hepatic zones (pericentral, inte...
Assays: DNA-methylation at binding sites of uniformly expressed transcription fa..., DNA-methylation at binding sites of uniformly expressed transcription fa..., DNA-methylation at binding sites of uniformly expressed transcription fa..., Transcriptomic analysis of hepatocytes ( hepatic zone: intermediate (IZ), Transcriptomic analysis of hepatocytes ( hepatic zone: periportal (PP), Transcriptomic analysis of hepatocytes ; hepatic zone: pericentral (CV)
Snapshots: No snapshots
The study comprises 19 human liver biopsy donors divided into the groups normal control (NC = 7012, 7173, 7194, 7279), healthy obese (HO = 6758, 6922, 7213, 7230, 7252), bland steatosis (STEA = 6967, 7137, 7172, 7181, 7251) and early NASH (EARLY = 6610, 7041, 7157, 7188, 7344).
Hepatocytes captured by laser microdissection were obtained from three hepatic zones (pericentral, intermediate and periportal) and subjected to reduced representation bisulfite sequencing and RNA-seq resulting in 114 ...
Submitter: Mario Brosch
Investigation: Epigenomic analysis of micro-dissected human liver
Assays: DNA-methylation at binding sites of uniformly expressed transcription fa..., DNA-methylation at binding sites of uniformly expressed transcription fa..., DNA-methylation at binding sites of uniformly expressed transcription fa..., Transcriptomic analysis of hepatocytes ( hepatic zone: intermediate (IZ), Transcriptomic analysis of hepatocytes ( hepatic zone: periportal (PP), Transcriptomic analysis of hepatocytes ; hepatic zone: pericentral (CV)
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: SOP : liver tissue microdissection for RNA seq...
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
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
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: SOP : liver tissue microdissection for RNA seq...
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: SOP : liver tissue microdissection for RNA seq...
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: 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
DNA-methylation at binding sites of uniformly expressed transcription factors in human hepatocytes ; periportal (PP)
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 GSM2819660 ..., Human DNA methylation data set GSM2819663 ..., Human DNA methylation data set GSM2819662 ..., Human DNA methylation data set GSM2819659 ..., Human DNA methylation data set GSM2819661 ..., Human DNA methylation data set GSM2819670 ..., Human DNA methylation data set GSM2819671 ..., Human DNA methylation data set GSM2819672 ..., Human DNA methylation data set GSM2819673 ..., Human DNA methylation data set GSM2819675 ..., Human DNA methylation data set GSM2819676 ..., Human DNA methylation data set GSM2819658 s..., Human DNA methylation data set GSM2819664 s..., Human DNA methylation data set GSM2819665 s..., Human DNA methylation data set GSM2819666 s..., Human DNA methylation data set GSM2819667 s..., Human DNA methylation data set GSM2819668 s..., Human DNA methylation data set GSM2819669 s..., Human DNA methylation data set GSM2819674 s...
Snapshots: No snapshots
Experimental assay Human-NAFLD/HO , 4 biopsies from healthy obese patients. Samples for the HO category were obtained in patients undergoing bariatric surgery with a BMI > 30 and subgroups defined by liver histology as follows: HO samples showed a normal liver histology such as the NC samples.
-h692a -h6758 -h6922 -h7230
Files can be opened and visualised with http://motiontracking.mpi-cbg.de/get/ software
Submitter: Fabian Segovia Miranda
Assay type: Experimental Assay Type
Technology type: Technology Type
Investigation: Three-dimensional spatially resolved geometrica...
Organisms: No organisms
SOPs: No SOPs
Data files: Patient characteristics by group
Snapshots: No snapshots
Experimental assay Human-NAFLD/NC 6 biopsies from normal control patients. : NC samples showed steatosis ≤5%, no inflammation, no ballooning and no fibrosis and were obtained during liver resections or biopsy in non-hepatobiliary malignancy in patients with a BMI<30kg/m2. Livers were either free of metastases or a distance of at least 2 cm to the next metastasis observed.
Image data for this assay available via link to file folder containing ...
Submitter: Fabian Segovia Miranda
Assay type: Image Collection
Technology type: Technology Type
Investigation: Three-dimensional spatially resolved geometrica...
Organisms: No organisms
SOPs: No SOPs
Data files: Patient characteristics by group
Snapshots: No snapshots
Human RNA-Seq data set GSM2819712 stored in NCBI (GEO)
Creator: Mario Brosch
Submitter: Mario Brosch
Human RNA-Seq data set GSM2819698 stored in NCBI (GEO)
liver tissue sample : 6922_IZ_RNA
Creator: Mario Brosch
Submitter: Mario Brosch
Human RNA-Seq data set GSM2819714 stored in NCBI (GEO)
Creator: Mario Brosch
Submitter: Mario Brosch
Human RNA-Seq data set GSM2819713 stored in NCBI (GEO)
Creator: Mario Brosch
Submitter: Mario Brosch
Human RNA-Seq data set GSM2819711 stored in NCBI (GEO)
Creator: Mario Brosch
Submitter: Mario Brosch
Human RNA-Seq data set GSM2819710 stored in NCBI (GEO)
Creator: Mario Brosch
Submitter: Mario Brosch
Human RNA-Seq data set GSM2819709 stored in NCBI (GEO)
Creator: Mario Brosch
Submitter: Mario Brosch
Human RNA-Seq data set GSM2819695 stored in NCBI (GEO)
Creator: Mario Brosch
Submitter: Mario Brosch
Human RNA-Seq data set GSM2819694 stored in NCBI (GEO)
Creator: Mario Brosch
Submitter: Mario Brosch
Human RNA-Seq data set GSM2819693 stored in NCBI (GEO)
Creator: Mario Brosch
Submitter: Mario Brosch
SOP : liver tissue microdissection for RNA sequencing
Creator: Mario Brosch
Submitter: Mario Brosch
Abstract (Expand)
Authors: C. Mayer, S. Nehring, M. Kucken, U. Repnik, S. Seifert, A. Sljukic, J. Delpierre, H. Morales-Navarrete, S. Hinz, M. Brosch, B. Chung, T. Karlsen, M. Huch, Y. Kalaidzidis, L. Brusch, J. Hampe, C. Schafmayer, M. Zerial
Date Published: 31st Jul 2023
Publication Type: Journal
PubMed ID: 37522754
Citation: EMBO Rep. 2023 Jul 31:e57181. doi: 10.15252/embr.202357181.
Abstract (Expand)
Authors: Stephan Buch, Hamish Innes, Philipp Ludwig Lutz, Hans Dieter Nischalke, Jens U Marquardt, Janett Fischer, Karl Heinz Weiss, Jonas Rosendahl, Astrid Marot, Marcin Krawczyk, Markus Casper, Frank Lammert, Florian Eyer, Arndt Vogel, Silke Marhenke, Johann von Felden, Rohini Sharma, Stephen Rahul Atkinson, Andrew McQuillin, Jacob Nattermann, Clemens Schafmayer, Andre Franke, Christian Strassburg, Marcella Rietschel, Heidi Altmann, Stefan Sulk, Veera Raghavan Thangapandi, Mario Brosch, Carolin Lackner, Rudolf E Stauber, Ali Canbay, Alexander Link, Thomas Reiberger, Mattias Mandorfer, Georg Semmler, Bernhard Scheiner, Christian Datz, Stefano Romeo, Stefano Ginanni Corradini, William Lucien Irving, Joanne R Morling, Indra Neil Guha, Eleanor Barnes, M Azim Ansari, Jocelyn Quistrebert, Luca Valenti, Sascha A Müller, Marsha Yvonne Morgan, Jean-François Dufour, Jonel Trebicka, Thomas Berg, Pierre Deltenre, Sebastian Mueller, Jochen Hampe, Felix Stickel
Date Published: 5th Jan 2023
Publication Type: Journal
DOI: 10.1136/gutjnl-2022-327196
Citation: Gut 72(2):381-391
Abstract (Expand)
Authors: Olga Vvedenskaya, Tim Daniel Rose, Oskar Knittelfelder, Alessandra Palladini, Judith Andrea Heidrun Wodke, Kai Schumann, Jacobo Miranda Ackerman, Yuting Wang, Canan Has, Mario Brosch, Veera Raghavan Thangapandi, Stephan Buch, Thomas Züllig, Jürgen Hartler, Harald C. Köfeler, Christoph Röcken, Ünal Coskun, Edda Klipp, Witigo von Schoenfels, Justus Gross, Clemens Schafmayer, Jochen Hampe, Josch Konstantin Pauling, Andrej Shevchenko
Date Published: 1st Aug 2021
Publication Type: Journal
DOI: 10.1016/j.jlr.2021.100104
Citation: Journal of Lipid Research:100104
Abstract (Expand)
Authors: Agnieska Brazovskaja, Tomás Gomes, Christiane Körner, Zhisong He, Theresa Schaffer, Julian Connor Eckel, René Hänsel, Malgorzata Santel, Timm Denecke, Michael Dannemann, Mario Brosch, Jochen Hampe, Daniel Seehofer, Georg Damm, J. Gray Camp, Barbara Treutlein
Date Published: 3rd Jun 2021
Publication Type: Journal
DOI: 10.1101/2021.06.03.444016
Citation: biorxiv;2021.06.03.444016v1,[Preprint]
Abstract (Expand)
Authors: V. R. Thangapandi, O. Knittelfelder, M. Brosch, E. Patsenker, O. Vvedenskaya, S. Buch, S. Hinz, A. Hendricks, M. Nati, A. Herrmann, D. R. Rekhade, T. Berg, M. Matz-Soja, K. Huse, E. Klipp, J. K. Pauling, J. A. Wodke, J. Miranda Ackerman, M. V. Bonin, E. Aigner, C. Datz, W. von Schonfels, S. Nehring, S. Zeissig, C. Rocken, A. Dahl, T. Chavakis, F. Stickel, A. Shevchenko, C. Schafmayer, J. Hampe, P. Subramanian
Date Published: 26th Jun 2020
Publication Type: Journal
PubMed ID: 32591434
Citation: Gut. 2020 Jun 26. pii: gutjnl-2020-320853. doi: 10.1136/gutjnl-2020-320853.
Abstract (Expand)
Authors: H. Innes, S. Buch, S. Hutchinson, I. N. Guha, J. R. Morling, E. Barnes, W. Irving, E. Forrest, V. Pedergnan, D. Goldberg, E. Aspinall, S. Barclay, P. Hayes, J. Dillon, H. D. Nischalke, P. Lutz, U. Spengler, J. Fischer, T. Berg, M. Brosch, F. Eyer, C. Datz, S. Mueller, T. Peccerella, P. Deltenre, A. Marot, M. Soyka, A. McQuillin, M. Y. Morgan, J. Hampe, F. Stickel
Date Published: 16th Jun 2020
Publication Type: Journal
PubMed ID: 32561361
Citation: Gastroenterology. 2020 Jun 16. pii: S0016-5085(20)34767-3. doi: 10.1053/j.gastro.2020.06.014.
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.
Abstract (Expand)
Authors: Erik Kolbe, Susanne Aleithe, Christiane Rennert, Luise Spormann, Fritzi Ott, David Meierhofer, Robert Gajowski, Claus Stöpel, Stefan Hoehme, Michael Kücken, Lutz Brusch, Michael Seifert, Witigo von Schoenfels, Clemens Schafmayer, Mario Brosch, Ute Hofmann, Georg Damm, Daniel Seehofer, Jochen Hampe, Rolf Gebhardt, Madlen Matz-Soja
Date Published: 1st Dec 2019
Publication Type: Not specified
DOI: 10.1016/j.celrep.2019.11.104
Citation: Cell Reports 29(13) : 4553
Abstract
Authors: Mario Brosch, Kathrin Kattler, Alexander Herrmann, Witigo von Schönfels, Karl Nordström, Daniel Seehofer, Georg Damm, Thomas Becker, Sebastian Zeissig, Sophie Nehring, Fabian Reichel, Vincent Moser, Raghavan Veera Thangapandi, Felix Stickel, Gustavo Baretton, Christoph Röcken, Michael Muders, Madlen Matz-Soja, Michael Krawczak, Gilles Gasparoni, Hella Hartmann, Andreas Dahl, Clemens Schafmayer, Jörn Walter, Jochen Hampe
Date Published: 1st Dec 2018
Publication Type: Not specified
DOI: 10.1038/s41467-018-06611-5
Citation: Nat Commun 9(1) : 416
Abstract (Expand)
Authors: Mario Brosch, Kathrin Kattler, Alexander Herrmann, Witigo von Schönfels, Karl Nordström, Daniel Seehofer, Georg Damm, Thomas Becker, Sebastian Zeissig, Sophie Nehring, Fabian Reichel, Vincent Moser, Raghavan Veera Thangapandi, Felix Stickel, Gustavo Baretton, Christoph Röcken, Michael Muders, Madlen Matz-Soja, Michael Krawczak, Gilles Gasparoni, Hella Hartmann, Andreas Dahl, Clemens Schafmayer, Jörn Walter, Jochen Hampe
Date Published: 1st Dec 2018
Publication Type: Not specified
DOI: 10.1038/s41467-018-06611-5
Citation: Nat Commun 9(1) : 416
Talk at the Jamboree 2021 about epigenomic map of human liver zonation and loss of zonation in end-stage liver disease
Creators: Mario Brosch, Jochen Hampe, Lutz Brusch, Marino Zerial, Clemens Schafmayer
Submitter: Mario Brosch
Human microdissected liver tissue sample
Published sample ID (String) *, Lab sample ID (String) *, Tissue (Controlled Vocabulary - Liver cell types) *, Organism (NCBI ID) , Sample web link (Web link) , Link to SOP used (Web link) , hepatic zone (Controlled Vocabulary - Hepatic zones in human hepatocytes) , Sample creation date (Date) , Molecule type (String)