1. Additional insights into the organization of transcriptional regulatory modules based on a 3D model of the Saccharomyces cerevisiae genome
- Author
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Thibault Poinsignon, Mélina Gallopin, Jean-Michel Camadro, Pierre Poulain, Gaëlle Lelandais, Institut Jacques Monod (IJM (UMR_7592)), Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Institut de Biologie Intégrative de la Cellule (I2BC), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), ANR-18-CE44-0014,SLIM-labeling,Protéomique haute performance par réduction de la complexité isotopique in vivo(2018), and ANR-19-CE45-0017,MinOmics,Exploration, Visualisation et Modélisation Computationnelle des Réseaux de Signalisation Redox(2019)
- Subjects
Chromosome conformation capture ,Saccharomyces cerevisiae Proteins ,[SDV]Life Sciences [q-bio] ,Saccharomyces cerevisiae ,3D-Scere ,MESH: Transcription Factors ,General Medicine ,MESH: Saccharomyces cerevisiae ,Yeast ,General Biochemistry, Genetics and Molecular Biology ,Transcriptional regulations ,MESH: Saccharomyces cerevisiae Proteins ,Gene Expression Regulation, Fungal ,Gene Regulatory Networks ,MESH: Gene Expression Regulation, Fungal ,Transcription Factors ,MESH: Gene Regulatory Networks - 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.
- Published
- 2022
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