ArticleBMC systems biology2009
Dissecting the fission yeast regulatory network reveals phase-specific control elements of its cell cycle.
Article in BMC systems biology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 13 citations in OpenAlex.
- The oncogene SLC35F2 is a high-specificity transporter for the micronutrients queuine and queuosine.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Adding phosphorylation events to the core oscillator driving the cell cycle of fission yeast.PloS one · 2018Article
- Inferring orthologous gene regulatory networks using interspecies data fusion.Bioinformatics (Oxford, England) · 2015Article
- Article
- Fission Yeast CSL Transcription Factors: Mapping Their Target Genes and Biological Roles.PloS one · 2015Article
- Article
- Global gene expression and focused knockout analysis reveals genes associated with fungal fruiting body development in Neurospora crassa.Eukaryotic cell · 2014Article
- Functional characterization of fission yeast transcription factors by overexpression analysis.Genetics · 2013Article
- Identification of a core set of signature cell cycle genes whose relative order of time to peak expression is conserved across species.Nucleic acids research · 2012Article
- Dynamic network of transcription and pathway crosstalk to reveal molecular mechanism of MGd-treated human lung cancer cells.PloS one · 2012Article
- Integrating multiple types of data to predict novel cell cycle-related genes.BMC systems biology · 2011Article
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Authors and funding
6 authors at 4 institutions in 2 countries.
Funding
Abstract
backgroundFission yeast Schizosaccharomyces pombe and budding yeast Saccharomyces cerevisiae are among the original model organisms in the study of the cell-division cycle. Unlike budding yeast, no large-scale regulatory network has been constructed for fission yeast. It has only been partially characterized. As a result, important regulatory cascades in budding yeast have no known or complete counterpart in fission yeast.
resultsBy integrating genome-wide data from multiple time course cell cycle microarray experiments we reconstructed a gene regulatory network. Based on the network, we discovered in addition to previously known regulatory hubs in M phase, a new putative regulatory hub in the form of the HMG box transcription factor SPBC19G7.04. Further, we inferred periodic activities of several less known transcription factors over the course of the cell cycle, identified over 500 putative regulatory targets and detected many new phase-specific and conserved cis-regulatory motifs. In particular, we show that SPBC19G7.04 has highly significant periodic activity that peaks in early M phase, which is coordinated with the late G2 activity of the forkhead transcription factor fkh2. Finally, using an enhanced Bayesian algorithm to co-cluster the expression data, we obtained 31 clusters of co-regulated genes 1) which constitute regulatory modules from different phases of the cell cycle, 2) whose phase order is coherent across the 10 time course experiments, and 3) which lead to identification of phase-specific control elements at both the transcriptional and post-transcriptional levels in S. pombe. In particular, the ribosome biogenesis clusters expressed in G2 phase reveal new, highly conserved RNA motifs.
conclusionUsing a systems-level analysis of the phase-specific nature of the S. pombe cell cycle gene regulation, we have provided new testable evidence for post-transcriptional regulation in the G2 phase of the fission yeast cell cycle. Based on this comprehensive gene regulatory network, we demonstrated how one can generate and investigate plausible hypotheses on fission yeast cell cycle regulation which can potentially be explored experimentally.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.