Matthias Merkenschlager

The paper investigates how spatial and transcriptional dynamics at Cd4 and Cd8 loci influence T cell lineage choice in the thymus, revealing locus-specific chromatin environments that drive differentiation.

The paper shows that ERK1/2 and EZH2 inhibitors increase utrophin expression in myoblasts from healthy and DMD patients, with sustained effects in patient-derived cells.

The paper develops a self-sustained fungal bioluminescence system in animal models to monitor molecular events non-invasively.

This study maps the 3D chromatin architecture of adult sensory neurons and shows cohesin is required for axonal regeneration by organizing genomic domains.

The paper shows PBK/TOPK phosphorylates Ikaros, Aiolos, and CTCF to displace them from mitotic chromosomes, altering chromatin accessibility at specific zinc finger protein sites.

This study identifies conserved helical motifs in Ikaros that mediate NuRD interaction and transcriptional repression in pre-B cells and B-ALL.

The paper shows that loss of H3K9 tri-methylation leads to smaller, more compact mitotic chromosomes and altered transcription factor retention.

Hi-C-LSTM uses a recurrent neural network to learn low-dimensional representations of Hi-C data, enabling the identification of genomic elements that define chromatin conformation.

The paper shows that cohesin's role in neuronal gene expression depends on chromatin loop length, with longer loops requiring cohesin for full gene expression.

The paper shows that maternal high-fat diet induces epigenetic changes in mice that affect two generations, with altered Dlk1 expression and DNA methylation.

This study expresses archaeal histones in E. coli to investigate chromatinization challenges, finding nucleosome occupancy correlates with transcriptional repression but minimal growth impact.

The paper introduces a method to build gene regulatory networks from scATAC-seq and scRNA-seq data using linked self-organizing maps, demonstrating its application in mouse pre-B cell differentiation.

The paper presents STATegra, a multi-omics dataset of mouse B-cell differentiation combining 10 omics technologies to study dynamic cellular processes.