Searching journal content for articles similar to Song et al. 21 (10): 1757.

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  1. ...are needed to identify tissue-specific genetic effects on regulatory elements, and single-cell studies are needed to identify the relevant cell types for caQTLs in heterogeneous tissues. Our results also show that caQTLs can vary across populations owing to allele frequency differences, but identification...
  2. ...lying outside of gene coding regions that harbor functional features, including cis-regulatory elements (CREs) that are important in defining cellular identity by establishing lineage-specific gene expression profiles (Lupien et al. 2008; Heintzman et al. 2009; Ernst et al. 2011). CREs...
  3. .... We first performed DNase-seq to identify open chromatin regions through DNase I hypersensitive sites (DHSs) as potential CREs in two adult human hearts (left ventricles) together with three publicly available heart DNase-seq data sets (Fig. 1A). Peak calling with MACS2 (Zhang et al. 2008) identified...
  4. ....Genome-scale inference of TRNs in mammalian settings is an outstanding challenge, given the increased complexity of regulatory mechanisms relative to simpler eukaryotes. Thus, chromatin state data are especially important for mammalian TRN inference. Construction of a -scale TRN for T Helper Cell Type 17 (Th17...
  5. ..., this effort reflects the role that sequence plays in determining expression outside of the chromatin context. In contrast, our work attempts to identify cell-type–specific expression from the endogenous accessibility of putative cis-regulatory regions. Second, the investigators defined classification tasks...
  6. ..., open chromatin profiling has been widely used to identify regulatory elements that predict cell-type–specific functional behaviors (Thurman et al. 2012). Active regulatory elements such as promoters and enhancers are accessible and are marked by H3K27ac, thereby allowing a study of the activity state...
  7. ...regions, where TFs can recognize their motifs and regulate gene expression programs. Here, we present motif enrichment in differential elements of accessibility (MEDEA), a computational tool that analyzes high-throughput chromatin accessibility genomic data to identify cell-type-specific accessible...
  8. ...expression they modulate will be crucial in unlocking the full therapeutic potential of these cells. Here, we use DNase-seq in combination with analysis of histone modifications to identify multiple classes of epigenetically and functionally distinct cis-regulatory elements (CREs). Through motif analysis...
  9. ...that the genomic location of nucleosome-depleted regions (NDRs) is mostly cell type specific and preferentially found at enhancers in normal cells. In cancer cells, however, we observe a global reconfiguration of NDRs at distal regulatory elements coupled with a substantial reorganization of the cancer methylome...
  10. ...using DNase-seq (Boyle et al. 2008), amethod for identifyingDNase I hypersensitive sites (DHS) (Weintraub and Groudine 1976; Wu 1980). DNase I hypersensitivity is a common feature of most gene regulatory elements, including enhancers and promoters (Thurman et al. 2012), and thus systematic understanding...
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