GuidedNOMe-seq quantifies chromatin states at single allele resolution for hundreds of custom regions in parallel.

ABSTRACT: Since the introduction of next generation sequencing technologies, the field of epigenomics has evolved rapidly. However, most commonly used assays are enrichment-based methods and thus only semi-quantitative. Nucleosome occupancy and methylome sequencing (NOMe-seq) allows for quantitative inference of chromatin states with single locus resolution, but this requires high sequencing depth and is therefore prohibitively expensive to routinely apply to organisms with large genomes. To overcome this limitation, we introduce guidedNOMe-seq, where we combine NOMe profiling with large scale sgRNA synthesis and Cas9-mediated region-of-interest (ROI) liberation. To facilitate quantitative comparisons between multiple samples, we additionally develop an R package to standardize differential analysis

SUBMITTER: Schwaiger M 

PROVIDER: S-EPMC11288131 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature