Searching journal content for articles similar to Dutta et al. 33 (3): 314.

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  1. ...rewiring from a stemness-associated state (meta-network 1) to erythrocyte-autonomous programs (meta-network 2), indicating an abrupt transcriptional transition. (D) Continuous tracking of GATA gene (GATA1 and GATA2) regulatory dynamics during erythropoiesis. (D1) tracks changes in connectivity (log node...
  2. ...key regulatory genes and understand their functional significance, we additionally calculated betweenness centrality, a critical metric that quantifies a node's importance in a network by measuring how frequently it appears on the shortest paths between other nodes. The top 25 genes, all of which...
  3. ...of existing methodologies to decipher complex network structures. The architecture of GRNs, both globally or locally, is crucial in complex biological systems, revealing essential nodes (e.g., highly interconnected TFs) and regulatory modules and elucidating how GRNs adapt to intercellular variations...
  4. ...disorders, it will be necessary to decipher gene regulatory networks (GRNs) underpinning normal development. Zebrafish is an excellent model organism for dissecting gene regulatory control of cell fate and behavior (Figiel et al. 2021). Large clutch sizes, ex utero development, and the availability of well...
  5. .... As illustrated above, our data enable broad correlation studies with any RNAPII-associated factor, opening avenues to discover novel regulators of elongation, including factors whose effects may be gene-specific or context-dependent. We expect our method will be a powerful tool for identifying novel regulatory...
  6. ...: In this window In a new window Figure 5. Potential trait-affecting regulatory network mediated by candidate critical enhancers. Lavender nodes represent TFs, pink nodes represent candidate critical enhancers, and light blue nodes represent target genes. The size of each node is proportional to its degree...
  7. ...–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...
  8. ...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...
  9. ...the relevance of inferred network features, such as node centrality, to known regulatory roles and their enrichment for complex trait heritability using stratified LD score regression (S-LDSC) (Finucane et al. 2015). In summary, our study seeks to provide a carefully annotated RNA-seq data set, outline best...
  10. .... Domain-adaptive neural networks improve cross-species prediction of transcription factor binding. Genome Res 32: 512–523. doi:10.1101/gr.275394.121 ↵de Boer CG, Taipale J. 2024. Hold out the : a roadmap to solving the cis-regulatory code. Nature 625: 41–50. doi:10.1038/s41586-023-06661-w ↵Dey KK, van de...
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