The Chromatin Accessibility Landscape of Adult Rat

Priming of transcriptional memory responses via the chromatin accessibility landscape in T cells

Memory T cells exhibit transcriptional memory and "remember" their previous pathogenic encounter to increase transcription on re-infection. However, how this transcriptional priming response is regulated is unknown. Here we performed global FAIRE-seq profiling of chromatin accessibility in a human T cell transcriptional memory model. Primary activation induced persistent accessibility changes, ...

Chromatin Accessibility Landscape of Cutaneous T Cell Lymphoma and Dynamic Response to HDAC Inhibitors.

Here, we define the landscape and dynamics of active regulatory DNA in cutaneous T cell lymphoma (CTCL) by ATAC-seq. Analysis of 111 human CTCL and control samples revealed extensive chromatin signatures that distinguished leukemic, host, and normal CD4+ T cells. We identify three dominant patterns of transcription factor (TF) activation that drive leukemia regulomes, as well as TF deactivation...

The chromatin accessibility complex: chromatin dynamics through nucleosome sliding.

Histone acetylation increases chromatin accessibility.

In eukaryotes, the interaction of DNA with proteins and supramolecular complexes involved in gene expression is controlled by the dynamic organization of chromatin inasmuch as it defines the DNA accessibility. Here, the nuclear distribution of microinjected fluorescein-labeled dextrans of 42 kDa to 2.5 MDa molecular mass was used to characterize the chromatin accessibility in dependence on hist...

Genome-Wide Association between Transcription Factor Expression and Chromatin Accessibility Reveals Regulators of Chromatin Accessibility

To better understand genome regulation, it is important to uncover the role of transcription factors in the process of chromatin structure establishment and maintenance. Here we present a data-driven approach to systematically characterise transcription factors that are relevant for this process. Our method uses a linear mixed modelling approach to combine datasets of transcription factor bindi...