ArticleCell & chromosome2003
Microarray analysis of gene expression during the cell cycle.
Article in Cell & chromosome, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
19 citing papers in PubMed.
- Hunting the Cell CycleLife (Basel, Switzerland) · 2024Article
- The Use of Yeast in Biosensing.Microorganisms · 2022Review
- CK1-mediated phosphorylation of FAM110A promotes its interaction with mitotic spindle and controls chromosomal alignment.EMBO reports · 2021Article
- FGF2-induced effects on transcriptome associated with regeneration competence in adult human fibroblasts.BMC genomics · 2013Article
- Randomization techniques for assessing the significance of gene periodicity results.BMC bioinformatics · 2011Article
- The living microarray: a high-throughput platform for measuring transcription dynamics in single cells.BMC genomics · 2011Article
- Coordinated progression through two subtranscriptomes underlies the tachyzoite cycle of Toxoplasma gondii.PloS one · 2010Article
- Genome-wide analysis of the replication program in mammals.Chromosome research : an international journal on the molecular, supramolecular and evolutionary aspects of chromosome biology · 2010Review
- Assessing and selecting gene expression signals based upon the quality of the measured dynamics.BMC bioinformatics · 2009Article
- Optimization of yeast cell cycle analysis and morphological characterization by multispectral imaging flow cytometry.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2008Article
- Thymidine block does not synchronize L1210 mouse leukaemic cells: implications for cell cycle control, cell cycle analysis and whole-culture synchronization.Cell proliferation · 2008Article
- A phase synchronization clustering algorithm for identifying interesting groups of genes from cell cycle expression data.BMC bioinformatics · 2008Article
- Genome-wide transcriptional analysis of the human cell cycle identifies genes differentially regulated in normal and cancer cells.Proceedings of the National Academy of Sciences of the United States of America · 2008Article
- Bayesian Orthogonal Least Squares (BOLS) algorithm for reverse engineering of gene regulatory networks.BMC bioinformatics · 2007Article
- A perspective on microarrays: current applications, pitfalls, and potential uses.Microbial cell factories · 2007Article
- Context-specific infinite mixtures for clustering gene expression profiles across diverse microarray dataset.Bioinformatics (Oxford, England) · 2006Article
- The more the merrier: comparative analysis of microarray studies on cell cycle-regulated genes in fission yeast.Yeast (Chichester, England) · 2006Article
- Comment on and reply to "Analysis of variation of amplitudes in cell cycle gene expression" by Liu, Gaido and Wolfinger: on the analysis of gene expression during the normal, eukaryotic, cell cycle.Theoretical biology & medical modelling · 2005Article
- Control and maintenance of mammalian cell size.BMC cell biology · 2004Review
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Microarrays have been applied to the determination of genome-wide expression patterns during the cell cycle of a number of different cells. Both eukaryotic and prokaryotic cells have been studied using whole-culture and selective synchronization methods. The published microarray data on yeast, mammalian, and bacterial cells have been uniformly interpreted as indicating that a large number of genes are expressed in a cell-cycle-dependent manner. These conclusions are reconsidered using explicit criteria for synchronization and precise criteria for identifying gene expression patterns during the cell cycle. The conclusions regarding cell-cycle-dependent gene expression based on microarray analysis are weakened by arguably problematic choices for synchronization methodology (e.g., whole-culture methods that do not synchronize cells) and questionable statistical rigor for identifying cell-cycle-dependent gene expression. Because of the uncertainties in synchrony methodology, as well as uncertainties in microarray analysis, one should be somewhat skeptical of claims that there are a large number of genes expressed in a cell-cycle-dependent manner.
Identifiers
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Registered trials
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.