Searching journal content for articles similar to Krivan and Wasserman 11 (9): 1559.

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  1. ...of the best predictors for protein sequence and expression conservation. In this study, we investigated its effect on the evolution of cis-regulatory elements (CREs). To this end, we carefully reanalyzed the Epigenomics Roadmap data for nine fetal tissues, assigning a measure of pleiotropic degree to nearly...
  2. ...characterization of transcriptional regulatory elements in three diverse human cell types. bioRxiv doi:10.1101/2023.03.05.531189 ↵Avsec Ž, Agarwal V, Visentin D, Ledsam JR, Grabska-Barwinska A, Taylor KR, Assael Y, Jumper J, Kohli P, Kelley DR. 2021a. Effective gene expression prediction from sequence...
  3. .... 2016) and patient tissues (Cavalli et al. 2016). In addition to pinpointing direct genetic effects within the TF's motif, F1 studies can also give more context by revealing new potential cooperative TF pairs, as shown for three liver-specific factors in mouse F1 hybrids (Wong et al. 2017) and three...
  4. ...and total number of subfamilies tested are given in square brackets next to the superfamily codes. Number of regulatory active fragments are given for each category (n). (E–G) TF motif enrichment in transcriptionally inducing MPRA fragments from TE superfamilies enriched in regulatory active fragments. TF...
  5. ...of interactions that form specific functional subnetwork communities. We also constructed directional regulatory networks based on the order of RT changes within cell lineages, and identified master regulators of differentiation pathways. Finally, we explored relationships between RT networks and transcriptional...
  6. ...sequencing (ATAC-seq). We regroup these regulatory elements in 16 components by nonnegative matrix factorization. Correlation between the -wide density of peaks and transcription start sites, correlation between peak accessibility and expression of neighboring genes, and enrichment in transcription factor...
  7. ...-range predictions (Whalen et al. 2016; Zhang et al. 2019). Another direction would be to use more generic sequence features, such as k-mers (Setty and Leslie 2015) or deep learning models (Avsec et al. 2021), to enable the discovery of novel regulatory elements and offer great flexibility in capturing sequence...
  8. ...attributes such as transcription factor (TF) binding sites. Here, we systematically link variations in cis-regulatory sequences to TF binding by profiling the allele-specific binding of 27 TFs expressed in a yeast hybrid, in which two related s are present within the same nucleus. TFs localize preferentially...
  9. ...complexes. We found the motif sequence signatures and the TFs are rarely mutual, corroborating a hierarchical and directional organization of the regulatory network and refuting the possibility of artifacts caused by shared sequence similarity with the TFs under investigation. We modeled such regulatory...
  10. ...Fig. S17C), which has been described as a distinctive feature of promoters harboring transcriptionally permissive chromatin states and which could provide specific regulatorymechanisms to housekeeping genes (Deaton and Bird 2011; Beck et al. 2014). While our study has allowed us to draw general...
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