The overall aim of this proposal is to establish a comprehensive, high-quality catalogue of human DNaseI hypersensitive sites (DHSs) spanning all major tissue lineages. We plan to map DNaseI hypersensitive sites at physiological resolution across the genome with high sensitivity and specificity. The major focus of our production effort will be on data quality, a strategy that served the Human Genome Project well. Accordingly, samples will be rigorously screened in a pipeline fashion, with only a select set advancing to whole-genome data collection (Specific Aim 1). To ensure the broadest possible coverage of both unique and non-unique genomic territories, a synergistic combination of three technologies (DNase-array, digital mapping of DNAasel cleave site sequences, and Quantitative Chromatin Profiling) will be applied (Specific Aim 2). This combination will enable mapping of >95% of the DHSs in the genome of each cell type. Independent validation provides the ultimate quality standard. We therefore plan to validate the DHS catalogue in a statistically rigorous fashion using hypersensitivity Southerns, a well-established, gold standard assay (Specific Aim 3). Since DNAasel hypersensitive sites are generic markers of a broad spectrum of human cis-regulatory sequences, the utility of the catalogue will be greatly enhanced by the classification of DHSs into major functional categories including promoters, distal elements (enhancers, LCRs), and insulators (Specific Aim 4). Validation of DHS functional classes will be accomplished using well-tested cell and transgenic assays of biological function (Specific Aim 5). ? ? ?

Agency
National Institute of Health (NIH)
Institute
National Human Genome Research Institute (NHGRI)
Type
Specialized Center--Cooperative Agreements (U54)
Project #
3U54HG004592-02S1
Application #
7686648
Study Section
Special Emphasis Panel (ZHG1-HGR-M (O1))
Program Officer
Feingold, Elise A
Project Start
2007-09-29
Project End
2011-06-30
Budget Start
2008-07-01
Budget End
2009-06-30
Support Year
2
Fiscal Year
2008
Total Cost
$159,999
Indirect Cost
Name
University of Washington
Department
Genetics
Type
Schools of Medicine
DUNS #
605799469
City
Seattle
State
WA
Country
United States
Zip Code
98195
Dixon, Jesse R; Xu, Jie; Dileep, Vishnu et al. (2018) Integrative detection and analysis of structural variation in cancer genomes. Nat Genet 50:1388-1398
Maurano, Matthew T; Wang, Hao; John, Sam et al. (2015) Role of DNA Methylation in Modulating Transcription Factor Occupancy. Cell Rep 12:1184-95
Wilken, Matthew S; Brzezinski, Joseph A; La Torre, Anna et al. (2015) DNase I hypersensitivity analysis of the mouse brain and retina identifies region-specific regulatory elements. Epigenetics Chromatin 8:8
Maurano, Matthew T; Haugen, Eric; Sandstrom, Richard et al. (2015) Large-scale identification of sequence variants influencing human transcription factor occupancy in vivo. Nat Genet 47:1393-401
Marstrand, Troels T; Storey, John D (2014) Identifying and mapping cell-type-specific chromatin programming of gene expression. Proc Natl Acad Sci U S A 111:E645-54
Iwata, Mineo; Sandstrom, Richard S; Delrow, Jeffrey J et al. (2014) Functionally and phenotypically distinct subpopulations of marrow stromal cells are fibroblast in origin and induce different fates in peripheral blood monocytes. Stem Cells Dev 23:729-40
Polak, Paz; Lawrence, Michael S; Haugen, Eric et al. (2014) Reduced local mutation density in regulatory DNA of cancer genomes is linked to DNA repair. Nat Biotechnol 32:71-5
Stergachis, Andrew B; Neph, Shane; Sandstrom, Richard et al. (2014) Conservation of trans-acting circuitry during mammalian regulatory evolution. Nature 515:365-70
Vierstra, Jeff; Wang, Hao; John, Sam et al. (2014) Coupling transcription factor occupancy to nucleosome architecture with DNase-FLASH. Nat Methods 11:66-72
Stergachis, Andrew B; Haugen, Eric; Shafer, Anthony et al. (2013) Exonic transcription factor binding directs codon choice and affects protein evolution. Science 342:1367-72

Showing the most recent 10 out of 44 publications