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Additional insights into the organization of transcriptional regulatory modules based on a 3D model of the Saccharomyces cerevisiae genome

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BMC RESEARCH NOTES
卷 15, 期 1, 页码 -

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SPRINGERNATURE
DOI: 10.1186/s13104-022-05940-5

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Transcriptional regulations; Chromosome conformation capture; Yeast; 3D-Scere

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  1. Agence Nationale pour la Recherche [ANR-19-CE45-0017, ANR18-CE44-0014]

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In this study, we combined the classical representation of transcriptional regulatory networks with a more realistic model of the spatial organization of the yeast Saccharomyces cerevisiae genome in the nucleus to search for additional information. By analyzing all transcriptional modules in the YEASTRACT database, we observed significant spatial co-localizations of certain sets of target genes. To facilitate reproducibility, we developed an interactive web tool called 3D-Scere.
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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