Searching journal content for articles similar to Prinz et al. 14 (3): 380.

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  1. ...decipher gene regulatory networks (GRNs) underpinning normal development. Zebrafish is 94 an excellent model organism for dissecting gene regulatory control of cell fate and behaviour 95 (Figiel et al. 2021). Large clutch sizes, ex utero development and availability of well-96 characterised fluorescent...
  2. ...were normalized by the mean of the pre-exercise samples. (C) Network plot reveals the cell-type-specific target genes (blue) of PPARD (orange) identified by the integrated regulatory circuit analysis. Selected GO terms enriched in the target genes are annotated below. (D,E) Log2 fold-change (log2FC...
  3. ..., interacting physiological systems. An increasing number of studies indicate that, beyond the traditionally emphasized hypothalamic–pituitary–gonadal (HPG) axis, metabolic and immune tissues are integral components of the regulatory network controlling laying performance. For instance, the liver sustains high...
  4. ....ji@northwestern.eduAbstract3′-end cleavage and polyadenylation is an essential process for eukaryotic mRNA maturation. In yeast species, the polyadenylation signals that recruit the processing machinery are degenerate and remain poorly characterized compared with the well-defined regulatory elements in mammals. Here we...
  5. ...expectations for when differential gene expression should matter. Here, we collated existing data into a gene-regulatory network (GRN) and performed developmental transcriptomics across different environmental conditions, genetic backgrounds, and mutants to assess the regulatory logic of mouth-form plasticity...
  6. ...replication strategies and host interactions among Asgard-infecting viruses, with Opia representing an intermediate complexity within this spectrum.View larger version: In this window In a new window Figure 5. Comparative genomics of Asgardarchaeota MGEs. (A) Whole-proteome similarity network of MGEs from...
  7. ...CPD-seq data reveal that sequence context significantly modulates CPD deamination rates in UV-irradiated yeast cells, with CPDs in TCG contexts showing particularly rapid deamination rates. Our analysis indicates that rapid CPD deamination can explain why UV-induced mutations are specifically enriched at TCG...
  8. ...protein bricks that could give birth to novel genes or be integrated into pre-existing proteins. Then, we investigated the sequence and structural factors determining de novo gene emergence by (1) characterizing the early stages of de novo gene birth through the reconstruction of 70 yeast de novo genes...
  9. ...-molecule genetic and epigenetic architectures, is limited by computational demands and a lack of supporting tools. Here, we introduce fibertools, a state-of-the-art toolkit that features a semisupervised convolutional neural network for fast and accurate identification of m6A-marked bases using Pacific Biosciences...
  10. ...are at play within single patients. System and network biology is poised to capture these phenomena well, but new theoretical frameworks and computational approaches must be implemented to make such precision network biology a reality.Existing methodologies extract disease modules (or “disease networks...
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