Searching journal content for articles similar to Davies et al. 17 (10): 1438.

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  1. ...@eitech.edu.cnAbstractDeciphering the relationships between cis-regulatory elements (CREs) and target gene expression has been a long-standing unsolved problem in molecular biology, and the dynamics of CREs in different cell types make this problem more challenging. To address this challenge, we propose a scalable computational framework...
  2. ...stronger regulatory relevance than expression alone, and therefore produce TF activity scores that more accurately capture true cellular states. To validate this, we benchmarked activity scores derived from expression (ETAS, expression-based TF activity scores) against those derived from coexpression (Co...
  3. ...catalog, excluding 23andMe samples. These loci were intersected with cell type–specific cCREs (FDR ≤ 0.05, |log2FC| > 0.5) to link genetic variants with putative regulatory elements.Identification of positive TF-regulators and putative targetsTo infer TF-regulators, we correlated motif accessibility...
  4. ...for downstream TFBS analysis, allowing the 142 identification of key regulatory motifs involved in the antiviral response. 143 To further characterise the genomic distribution of ATAC-seq and H3K27ac peaks, we 144 annotated consensus peaks relative to gene features and transcription start sites (TSS). The 145...
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  5. ...with shorter input windows (Karollus et al. 2023), we adapted the published Enformer model to use flexible input and output lengths to enable capturing relevant regulatory elements while maintaining high computational efficiency, as well as outputting predictions for large synthetic payloads (Methods). We...
  6. ...disparate vertebrate species is therefore generally lacking. Identification of tissue-specific CRMs and their key operative TFs is pivotal to understanding how gene regulatory control of cell fate decisions is achieved during normal development. Furthermore, to understand the basis for developmental...
  7. ...to comprehensively map GRNs (Badia-i-Mompel et al. 2023). High-throughput RNA sequencing (RNA-seq), which enables -wide analysis of the cellular transcriptome on bulk cells (Ozsolak and Milos 2011), has revolutionized GRN inference by enabling the computational derivation of regulatory networks from gene expression...
  8. ...; Love et al. 2014). ATAC-seq profiles surrounding the MYH6 locus (Fig. 1F,G) were visualized in the Integrative Genomics Viewer (IGV) (Robinson et al. 2011). The identification of TF binding motifs in differentially accessible regions was performed using the MEME suite (v5.5.7) (Supplemental Table S2...
  9. ...of ELAVL1 and ELAVL2, which play a crucial role in spermatogonia by promoting cell proliferation and preventing apoptosis. Although our computational evidence supports this model, experimental validation using techniques such as RNA-EMSA, CLIP-seq, and cell type–specific perturbation is necessary. However...
  10. ...as beta-catenin) drives the expression of target genes from regulatory regions bound by TCF/LEF transcription factors. Gene regulation, however, entails the interplay between sequence information and 3D structure, yet the impact of Wnt signaling on structure has been poorly explored. Here, we investigate...
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