AI Article Synopsis

  • The study focuses on modeling transcriptional regulatory networks in yeast, where genes are nodes and their regulatory connections are edges.
  • Researchers aimed to combine traditional models with realistic spatial organization of the yeast genome to gain deeper insights.
  • Significant observations of gene co-localization were made for certain regulatory modules, and a user-friendly web tool called 3D-Scere was developed to facilitate similar analyses for other gene lists.

Article Abstract

Objectives: Transcriptional regulatory modules are usually modelled via a network, in which nodes correspond to genes and edges correspond to regulatory associations between them. In the model yeast Saccharomyces cerevisiae, the topological properties of such a network are well-described (distribution of degrees, hierarchical levels, organization in network motifs, etc.). To go further on this, our aim was to search for additional information resulting from the new combination of classical representations of transcriptional regulatory networks with more realistic models of the spatial organization of S. cerevisiae genome in the nucleus.

Results: Taking advantage of independent studies with high-quality datasets, i.e. lists of target genes for specific transcription factors and chromosome positions in a three dimensional space representing the nucleus, particular spatial co-localizations of genes that shared common regulatory mechanisms were searched. All transcriptional modules of S. cerevisiae, as described in the latest release of the YEASTRACT database were analyzed and significant biases toward co-localization for a few sets of target genes were observed. To help other researchers to reproduce such analysis with any list of genes of their interest, an interactive web tool called 3D-Scere ( https://3d-scere.ijm.fr/ ) is provided.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8858486PMC
http://dx.doi.org/10.1186/s13104-022-05940-5DOI Listing

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