- 1 Ho-Ryun Chung
- 1.1 Interplay between chromatin modifications and transcription
- 1.2 Latest publications
- 1.2.1 High-Affinity Sites Form an Interaction Network to Facilitate Spreading of the MSL Complex across the X Chromosome in Drosophila.
- 1.2.2 A link between Sas2-mediated H4 K16 acetylation, chromatin assembly in S-phase by CAF-I and Asf1, and nucleosome assembly by Spt6 during transcription.
- 1.2.3 Chromatin segmentation based on a probabilistic model for read counts explains a large portion of the epigenome.
Max Planck Institute for Molecular Genetics, Berlin, Germany
Interplay between chromatin modifications and transcription
The genome of eukaryotes is packed into a macromolecular structure called chromatin. The basic repeating unit of chromatin is the nucleosome, which forms by the association of two copies each of the four core histones H2A, H2B, H3 and H4 and 147 base pairs of DNA. Histones can be covalently modified and the histone modification status of a region correlates with the regions¹ function. Our group is interested in the interplay between chromatin and its modifications with the transcriptional process. Using both experimental and computational methods our goal is to unravel the dynamic interactions between different states of RNA Polymerase II with histone modifications, their writers, readers and erasers.
PhD involved in research on EpiGeneSys projects:
Johannes Helmuth computational analysis of interactions between RNA Polymerase II phosphorylation states and histone modifications
PostDocs involved in research on EpiGenesys projects:
Na Li experimental mapping of RNA Polymerase II phosphorylation states
Alisa Fuchs dynamics of histone modifications and RNA Polymerase II phosphorylation states during transcription in Drosophila
High-Affinity Sites Form an Interaction Network to Facilitate Spreading of the MSL Complex across the X Chromosome in Drosophila.
26431028 – 2015-10-03
Mol Cell 2015 Oct 1;60(1):146-62
26260510 – 2015-08-12
FEMS Yeast Res 2015 Nov;15(7)
Chromatin segmentation based on a probabilistic model for read counts explains a large portion of the epigenome.
26206277 – 2015-07-25
Genome Biol 2015 Jul 24;16:151
View all their publications