Vondriska, T. M. | bioRxiv Science

bioRxiv2022

Histone H1.0 Couples Cellular Mechanical Behaviors to Chromatin Structure

Tuning of genome structure and function is accomplished by chromatin binding proteins, which determine the transcriptome and phenotype of the cell. We sought to investigate how communication between extracellular stress and chromatin structure may regulate cellular mechanical behaviors. We demonstrate that the linker histone H1.0, which compacts nucleosomes into higher order chromatin fibers, controls genome organization and cellular stress response. Histone H1.0 has privileged expression in fibroblasts across tissue types in mice and humans, and modulation of its expression is necessary and sufficient to mount a myofibroblast phenotype in these cells. Depletion of histone H1.0 prevents transforming growth factor beta (TGF-{beta})-induced fibroblast contraction, proliferation and migration in a histone H1 isoform-specific manner via inhibition of a transcriptome comprised of extracellular matrix, cytoskeletal and contractile genes. Histone H1.0 is associated with local regulation of gene expression via mechanisms involving chromatin fiber compaction and reprogramming of histone acetylation, rendering the cell stiffer in response to cytokine stimulation. Knockdown of histone H1.0 prevented locus-specific histone H3 lysine 27 acetylation by TGF-{beta} and decreased levels of both HDAC1 and the chromatin reader BRD4, thereby preventing transcription of a fibrotic gene program. Transient depletion of histone H1.0 in vivo decompacts chromatin and prevents fibrosis in cardiac muscle, thereby linking chromatin structure with fibroblast phenotype in response to extracellular stress. Our work identifies an unexpected role of linker histones to orchestrate cellular mechanical behaviors, directly coupling cellular force generation, nuclear organization and gene transcription. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=166 SRC="FIGDIR/small/518399v1_ufig1.gif" ALT="Figure 1"> View larger version (103K): org.highwire.dtl.DTLVardef@11a38e1org.highwire.dtl.DTLVardef@8c4ab4org.highwire.dtl.DTLVardef@7c822aorg.highwire.dtl.DTLVardef@45d02b_HPS_FORMAT_FIGEXP M_FIG C_FIG

cell biology↗

bioRxiv2022

genomeSidekick: a user-friendly epigenomics data analysis tool

Recent advances in epigenomics measurements have resulted in a preponderance of genomic sequencing datasets that require focused analyses to discover mechanisms governing biological processes. In addition, multiple epigenomics experiments are typically performed within the same study, thereby increasing the complexity and difficulty of making meaningful inferences from large datasets. One gap in the sequencing data analysis pipeline is the availability of tools to efficiently browse genomic data for scientists that do not have bioinformatics training. To bridge this gap, we developed genomeSidekick, a graphical user interface written in R that allows researchers to perform bespoke analyses on their transcriptomic and chromatin accessibility or chromatin immunoprecipitation data without the need for command line tools. Importantly, genomeSidekick outputs lists of up- and downregulated genes or chromatin features with differential accessibility or occupancy; visualizes omics data using interactive volcano plots; performs Gene Ontology analyses locally; and queries PubMed for selected gene candidates for further evaluation. Outputs can be saved using the user interface and the code underlying genomeSidekick can be edited for custom analyses. In summary, genomeSidekick brings wet lab scientists and bioinformaticians into a shared fluency with the end goal of driving mechanistic discovery.

genomics↗