Searching journal content for articles similar to Lal et al. 34 (9): 1411.

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  1. ...DNA accessibility and RNA transcription across these engineered sequences when delivered at their endogenous loci. At a high level, we observe a good correlation between accessibility predicted by Enformer and experimental data. But model performance is best for sequences that more resembled...
  2. ...expression in biological systems. At the core of these networks lies the inference of gene regulation, which reflects the binding of transcription factors (TFs) to specific DNA sequences to either activate or repress target gene expression. This regulation directs crucial cellular processes...
  3. ...among genes. However, this method is limited to the imputation of protein-coding genes. To simultaneously impute and denoise gene expression profiles, we may consider genomic language models (gLMs) (Avsec et al. 2021; de Almeida and Pierrot 2022; Benegas et al. 2025), which model DNA sequence...
  4. ...–specific cis-regulatory DNA elements (CREs), we pinpoint 141 ADNC-associated genes. Using gene set enrichment analysis (GSEA) and network proximity analysis, we further identify nine candidate repurposable drugs that were associated with these ADNC-related genes. In summary, this cell type–specific multiomic...
  5. ...and compared with all HCNEs (Fig. 4H; Supplemental Figs. S14–S18).Consistent with expectations, our analyses reveal a highly significant association between endoderm HCNEs and genes encoding DNA-binding and gene regulatory proteins, including HMG domain-containing and chromatin binding factors. Notably...
  6. ...Chaudhuri A, Nussenzweig A. 2017. Themultifaceted roles of PARP1 in DNA repair and chromatin remodelling. Nat Rev Mol Cell Biol 18: 610– 621. doi:10.1038/nrm.2017.53 R Core Team. 2022. R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna. https...
  7. ..., providing actionable insights into ensemble architecture design in DL frameworks.Comparison with existing predictorsTo verify the performance of EnDeep4mC, we systematically compared it against five DL models (4mCCNN, Deep4mC, Hyb4mC, DeepSF-4mC, and EpiTEAmDNA) and one traditional ML model (4mc...
  8. ...for predicting gene expression (ScPGE) from discrete candidate CREs (cCREs). ScPGE assembles DNA sequences, transcription factor (TF) binding scores, and epigenomic tracks from discrete cCREs into three-dimensional tensors, and then models the relationships between cCREs and genes by combining convolutional...
  9. .... 2019; Singh et al. 2019; Buikema et al. 2020). GSK3i promotes cell cycling, marked by DNA synthesis and mitosis; reduced cell ploidy; and sarcomere disassembly—all markers of CM immaturity (Mollova et al. 2013; Mills et al. 2019; Singh et al. 2019; Buikema et al. 2020).CHIR99021 (CHIR) is a potent GSK3...
  10. ...such as histone acetylation and methylation contribute to 48 this regulation by altering DNA accessibility at enhancers and promoters (Mostafavi et al., 49 2016; Kan et al., 2022). Transposase-accessible chromatin with sequencing (ATAC-seq) 50 and chromatin immunoprecipitation and sequencing (ChIP-seq) are widely...
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