Searching journal content for articles similar to Luo et al. 32 (6): 1183.

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  1. ...).To characterize the dynamic barrier model, we quantified FRiP across a range of barrier bound time and occupancies (Fig. 3B; Supplemental Fig. S2A). We found that FRiP generally displayed the opposite trend as loop size as a function of bound time (τb): more potent barriers lead to higher FRiP (Supplemental Fig...
  2. ...binding sites. [Supplemental material is available for this article.] Transcriptional regulation is highly dependent on the binding of transcription factors (TFs) to short DNA binding motifs (Matys et al. 2003; Bryne et al. 2008).Whereas such short sequencemotifs can appear a myriad of times in the , only...
  3. ...accessibility, and DNA methylation. Our analysis focused on a comparison of inter-individual regulatory variation across cell types. While most cell-type–specific regulatory quantitative trait loci (QTLs) lie in chromatin that is open only in the affected cell types, we found that 20% of cell...
  4. ...the resulting SOM to identify chromatin signatures related to sequence-specific transcription factor occupancy, sequence motif enrichment, and biological functions. To highlight clusters enriched for specific functions such as transcriptional promoters or enhancers, we overlaid onto the map additional data sets...
  5. ...). The regulatory blueprints that orchestrate the spatiotemporal dynamics of eukaryotic transcriptomes mirror this complexity. Large-scale surveys of chromatin modifications and transcription factor occupancy in diverse organisms have started to shed light on the abundance of cis-regulatory modules (Ernst et al...
  6. ...2F1, whereas the nonmethylated region grants access to activating transcription factors (Renaud et al. 2007; Zhang et al. 2014). In comparison, noncancerous primary cell lines are generally hypomethylated across the CpG islands (Renaud et al. 2007; Esopi et al. 2020). TERT is also often expressed...
  7. .... We found that although TP53 elicits vastly divergent signaling cascades across cell lines, it directly activates a core transcriptional program of ∼100 genes with diverse biological functions, regardless of cell type or cellular response to TP53 activation. This core program is associated with high-occupancy...
  8. ...with high-throughput sequencing technology has fueled the -wide analysis of nucleosome occupancy, chromatin modification states, insulator elements, transcription factor (TF) and RNA polymerase II binding sites, and tissue and temporal gene expression patterns (MacArthur et al. 2009; Schuettengruber et al...
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