ArticleScientific reports2020
Assessing regulatory features of the current transcriptional network of Saccharomyces cerevisiae.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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Who cites it
8 citing papers in PubMed.
- Regulatory network topology and the genetic architecture of gene expression.Cell genomics · 2026Article
- Assessing the impact of sampling bias on node centralities in synthetic and biological networks.NPJ systems biology and applications · 2025Article
- Heat shock transcription factor-mediated thermal tolerance and cell size plasticity in marine diatoms.Nature communications · 2025Article
- Gene network centrality analysis identifies key regulators coordinating day-night metabolic transitions inFrontiers in microbiology · 2025Article
- Mini-review: Gene regulatory network benefits from three-dimensional chromatin conformation and structural biology.Computational and structural biotechnology journal · 2023Review
- The variation in promoter sequences of the Akt3 gene between cow and buffalo revealed different responses against mastitis.Journal, genetic engineering & biotechnology · 2021Article
- Testing biological network motif significance with exponential random graph models.Applied network science · 2021Article
- Computational biology approaches for mapping transcriptional regulatory networks.Computational and structural biotechnology journal · 2021Review
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The capacity of living cells to adapt to different environmental, sometimes adverse, conditions is achieved through differential gene expression, which in turn is controlled by a highly complex transcriptional network. We recovered the full network of transcriptional regulatory associations currently known for Saccharomyces cerevisiae, as gathered in the latest release of the YEASTRACT database. We assessed topological features of this network filtered by the kind of supporting evidence and of previously published networks. It appears that in-degree distribution, as well as motif enrichment evolve as the yeast transcriptional network is being completed. Overall, our analyses challenged some results previously published and confirmed others. These analyses further pointed towards the paucity of experimental evidence to support theories and, more generally, towards the partial knowledge of the complete network.
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Registered trials
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