Searching journal content for articles similar to Follows et al. 16 (10): 1310.

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  1. ..., hinging on the precise binding of transcription factors (TFs) and cofactors to gene regulatory elements such as promoters and enhancers. Although it is relatively routine to profile -wide DNA binding landscapes of proteins, identifying the specific proteins that bind to, and regulate the transcription of...
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  2. ...to nucleosome-depleted regions, were identified across the seven cell lines, covering nearly 9% of the genome. The combination of DNaseI and FAIRE is more effective than either assay alone in identifying likely regulatory elements, as judged by coincidence with transcription factor binding locations determined...
  3. ...with an orthogonal data set of 352 nonredundant, in vitro–derived motifs mapped to the within DNase I hypersensitivity footprints to characterize regions with high numbers of DAP associations. We establish a generalizable definition for high occupancy target (HOT) loci and identify putative driver DAP motifs in Hep...
  4. ...Gs in the are methylated, DNA methylation is absent or reduced in regions bound by transcription factors such as in CpG islands, gene promoters, and distal regulatory elements (Stadler et al. 2011; Hon et al. 2013; Ziller et al. 2013). This observation led to the proposal that DNA methylation may limit transcription...
  5. ...profiles in large mammalian s from DNA sequence alone. By use of convolutional neural networks, this system identifies promoters and distal regulatory elements and synthesizes their content to make effective gene expression predictions. We show that model predictions for the influence of genomic variants...
  6. ...near Activator Protein 1 (AP-1) binding sites that reside in DNase I Hypersensitive Sites (DHS) and regions annotated as Enhancers. In these regions, we found that sequence features directly adjacent to the core motif distinguish high from low activity AP-1 sites. Some nearby features are motifs...
  7. ...-seq, or DNase I hypersensitive sites (DHS) experiment in standard, widely adopted protocols. ATAC-seq is also possible at single-cell resolution (Buenrostro et al. 2015).In the context of TRN inference, chromatin state measurements provide an initial set of putative TF–gene interactions based on evidence of TF...
  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. ...genes and thousands ofDHSs are found inproximity of aGR target gene in resting cells, and the interaction network expands further after hormone treatment. We also discovered DNase I hypersensitivity to be the most salient genomic feature of loci interactingwith Lcn2,Arrdc2, andAnxa5. Because chromatin...
  10. ...of regulatory regions in human chromatin. Here, we performed FAIRE in a human foreskin fibroblast cell line and assayed its performance within the genomic regions selected by the ENCODE Project Consortium (2004) . Regions enriched by FAIRE were compared with functional genomic elements such as DNaseI...
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