Searching journal content for articles similar to Keenan et al. 34 (4): 556.

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  1. ...of the link between chromatin architecture and gene regulation in disease contexts (Paulsen et al. 2017).Indeed, transcriptional dysregulation has been attributed to alterations in 3D organization in diseases, including cancer (Feng and Pauklin 2020; Osman et al. 2022), yet analysis of multiple cancers shows...
  2. ..., 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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  3. ...of H3K9me3 and H3K27me3 in the nondiapause (C), prediapause (D), and diapause (E) stages. (F–H) Venn diagram shows the number of genes with H3K9me3 peaks, H3K27me3 peaks, or both at the nondiapause (F), prediapause (G), and diapause (H) stages. (I–K) Genome-wide correlation plots showing correlation...
  4. ...interplay of nucleosomes and TFs together in the context of transcriptional regulation is crucial for better understanding gene regulation within an organism.Although numerous efforts to construct gene regulatory networks (GRNs) have used -wide expression profiling under various genetic and environmental...
  5. ...integrated analyses of single-cell RNA-seq data from multiple human tissues and organs. Single-cell epigenomic data further indicate that the expression is likely driven by an alternative promoter at the end of the first exon, resulting in at least one shorter transcript (referred to as sXIST) that is active...
  6. .... 4C, Chr 18), with subcompartments 1 and 5 associated with repressive marks (H3K9me3, H3K27me3), whereas the other three (subcompartments 2, 3, and 4) associated with active marks. Within these two groups, each subcompartment had a different signature of marks. For example, subcompartment 3 exhibits...
  7. ...documents evolutionary stasis across multiple levels of organization in gars, including structural features, chromosome evolution, TE dynamics, and ancient gene flow. By integrating these findings, we provide a mechanistic explanation for the exceptional genomic stability observed in this lineage over deep...
  8. ...elongation rates allowed for a more comprehensive analysis.We found that active chromatin marks including H3K36me3, H3K79me2 and H3K4me1 positively correlated with RNAPII elongation rates, whereas histone modifications associated with inactive chromatin states such as H3K9me3 and H3K27me3 negatively...
  9. ...studies have sought to catalog driver events occurring in hundreds of cancer genes across different tumor types (Martincorena and Campbell 2015; Chung et al. 2016; Tokheim and Karchin 2019; Dietlein et al. 2020; Kumar et al. 2020; The ICGC/TCGA Pan-Cancer Analysis of Whole Genomes Consortium 2020...
  10. ...1–Cas9, previously characterized by Pavlek et al. (2015). Our genomic analysis of these satDNAs included their distribution, correlations with genes and TEs, genomic dynamics, and possible mechanisms of spread in euchromatin.Euchromatic satDNAs reside in gene-rich regionsInterestingly, we found...
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