title: Quantitative analysis of genome-wide chromatin remodeling.
abstract: Recent high-throughput sequencing technologies have opened the door for genome-wide characterization of chromatin features at an unprecedented resolution. Chromatin accessibility is an important property that regulates protein binding and other nuclear processes. Here, we describe computational methods to analyze chromatin accessibility using DNaseI hypersensitivity by sequencing (DNaseI-seq). Although there are numerous bioinformatic tools to analyze ChIP-seq data, our statistical algorithm was developed specifically to identify significantly accessible genomic regions by handling features of DNaseI hypersensitivity. Without prior knowledge of relevant protein factors, one can discover genome-wide chromatin remodeling events associated with specific conditions or differentiation stages from quantitative analysis of DNaseI hypersensitivity. By performing appropriate subsequent computational analyses on a select subset of remodeled sites, it is also possible to extract information about putative factors that may bind to specific DNA elements within DNaseI hypersensitive sites. These approaches enabled by DNaseI-seq represent a powerful new methodology that reveals mechanisms of transcriptional regulation.
authors.affiliation: Laboratory of Receptor Biology and Gene Expression, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
authors.forename: Songjoon
authors.initials: S
authors.lastname: Baek
authors.forename: Myong-Hee
authors.initials: MH
authors.lastname: Sung
authors.forename: Gordon L
authors.initials: GL
authors.lastname: Hager
mesh_terms: D000465:Algorithms; D001483:Base Sequence; D042002:Chromatin Assembly and Disassembly / Q000235:genetics*; D018983:DNA Footprinting; D016678:Genome / Q000235:genetics*; D023281:Genomics / Q000379:methods*; D059014:High-Throughput Nucleotide Sequencing; D006801:Humans; D020407:Internet; D058977:Molecular Sequence Annotation; D012984:Software; D013223:Statistics as Topic