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  1. ...the versatility of NNet through three case studies and its utility in facilitating the identification of fine-grained regulatory signals pertinent to specific cell states or transitions.In the first case study of TF activity inference, we performed a proof-of-concept analysis on NNet coexpression. By comparing TF...
  2. ...–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...
  3. ...to perform comprehensive motif analysis on DNA sequences, to discover TF motifs from these TPs. The most relevant discovered motifs were matched against HOCOMOCO V11 (Kulakovskiy et al. 2018) using TOMTOM (Gupta et al. 2007). As shown in Figure 6A, we identified a series of important TF motifs...
  4. ...cell populations. An analysis of HCNEs within CRMs acting in specific germ layers and tissues across 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...
  5. ...opportunities for researchers to delve into the functional, regulatory, and evolutionary origin of G4 DNA, using the plethora of available complete organismal s.ResultsIdentification of potential G4-forming sequences in organismal s across the tree of lifeWe examined 108,459 organismal reference s spanning...
  6. ...used to map 51 open chromatin and histone modifications across the , enabling the identification of 52 putative regulatory elements. While these assays are powerful, they have limitations, 53 including the potential for false positives (regions that are accessible but not functionally 54 active...
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  7. ..., offering insights into the regulatory mechanisms underlying gene expression (Clark et al. 2017). In particular, DNA methylation has proven valuable in cancer research, in which it uncovers intratumoral heterogeneity and aids in the discovery of early diagnostic biomarkers and personalized therapeutic...
  8. ...a regulatory axis connecting epigenetic 23 state and IPA. This finding aligns with emerging evidence that DNA methylation modulates 24 2 alternative polyadenylation via CTCF-mediated chromatin looping. Thus, IPAseek provides a 25 platform to characterize IPA across physiological systems and disease contexts...
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  9. ...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...
  10. ..., this is the most comprehensive resource of its kind. This data set contains three modification types: 4mC, 5mC, and 6mA. The 4mC modification data are integrated from data sets established in Hyb4mC (Liang et al. 2022), iDNA-MS (Lv et al. 2020), and DeepTorrent (Liu et al. 2021a). All collected 4mC sequences (41...
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