Searching journal content for articles similar to Ernst et al. 20 (4): 526.

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  1. ...expression as a function of the NET-seq transcription rate (Churchman and Weissman 2011). (G) Multiple linear regression model incorporating all chromatin features and transcription rate to predict change in gene expression. All R values are Pearson correlations.Although most chromatin features were...
  2. ..., for example, through the collective action of multiple factors to maintain open chromatin. These findings agree with recent observations from single-cell ATAC data in Mef2 mutant embryos (Secchia et al. 2022) and suggest that the effects of genetic variation are more likely to be detected in genomic regions...
  3. ...chimeric mtRNA transcripts in multiple models associated with mitochondrial pathology, we next asked whether the presence of the chimeric transcripts would predict specific gene expression changes involved in disease pathogenesis. For an initial test, we evaluated gene expression data from aging rat...
  4. ...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...
  5. ...that collate and integrate many different sources of data and databases because ease of use and reliability are key.Three types of tools should be applied in parallel: – Genome browsers with multiple annotation tracks, especially the unrivalled University of California at Santa Cruz (UCSC) browser (Perez et al...
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  6. ...is accompanied by the formation of de novo enhancer contacts and activation of MYC, illustrating how structural genomic variants can alter the 3D during oncogenesis. In summary, our findings provide evidence for the loss of organization at multiple scales during breast cancer progression, revealing novel...
  7. ...@bcm.eduAbstractThe vast majority of protein-coding genes in the human produce multiple mRNA isoforms through alternative splicing, significantly enhancing the complexity of the transcriptome and proteome. To establish an efficient method for characterizing transcript isoforms within tissue samples, we conducted...
  8. ...of chromatin interactivity in active regions and significant switching from active to repressive compartments. (A) Integrative Genomics Viewer (IGV) tracks of A/B compartments from Hi-C analysis of control and Suv39DKO DP thymocytes overlayed by H3K9me3 and H3K27ac ChIP-seq. (B) Proportion of that switches A...
  9. ...dot plots between sequences of two tandem repeat regions with Gepard 2.1 (Krumsiek et al. 2007). We visualized multiple alignment of reads and read coverage of the CGC1 with the Integrative Genomics Viewer (IGV) 2.12.3 (IGV) (Robinson et al. 2011). We visualized gene structures, StringTie2 transcripts...
  10. ...combinations with TFcomb predicted directing scores. The Yamanaka factors are marked in red.In these cases, the source- and target-cell states are specified cell types, and most of the GRN-based methods (D'Alessio et al. 2015; Rackham et al. 2016; Xu et al. 2021) have been applied to identify the reprogramming...
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