Epigenomic analysis of micro-dissected human liver

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 glutamine metabolism show a strong anticorrelated methylation gradient indicating that zonal expression of these genes is partly controlled by epigenetic programs. Zonated DNA - methylation at binding sites of uniformly expressed transcription factors such as HNF4A and RXRα points to an epigenetic layer in regulatory networks and a zonated activity of their nuclear ligands and drugs such as fibrates and bile acids. The same holds for genes of the wnt morphogen pathway whose expression show a zonated methylation at binding sites of TCF4L2. A strong pericentral expression of LGR5 and AXIN2 and a corresponding expression gradient of the liver progenitor marker TBX3, indicates a predominant pericentral source of hepatocyte regeneration under steady-state conditions in humans. Conversely, the periportal expression of NOTCH and EPCAM at the border to the biliary tree as source of regeneration under injury conditions. Overall our data provide a deep understanding of molecular control of the zonal organisation in the human liver.

Investigation position:

help Creators and Submitter
Creators
Additional credit

Kathrin Kattler, Alexander Herrmann, Karl Nordström, Sebastian Zeissig, Fabian Reichel, Felix Stickel, Gustavo Baretton, Christoph Röcken, Michael Muders, Michael Krawczak, Gilles Gasparoni, Hella Hartmann, Andreas Dahl, Jörn Walter

Submitter
Activity

Views: 577

Created: 13th Jul 2021 at 08:18

Last updated: 24th Oct 2022 at 17:05

help Tags

This item has not yet been tagged.

Powered by
(v.1.14.2)
Copyright © 2008 - 2023 The University of Manchester and HITS gGmbH