SynthesisBMC genomics2017
Meta-analysis reveals conserved cell cycle transcriptional network across multiple human cell types.
Synthesis in BMC genomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- Article
- Plasmodium falciparum infection induces T cell tolerance that is associated with decreased disease severity upon re-infection.The Journal of experimental medicine · 2025Article
- Identification and correction of time-series transcriptomic anomalies.Nucleic acids research · 2025Article
- The Overexpression of Collagen Receptor DDR1 is Associated With Chromosome Instability and Aneuploidy in Diffuse Large B-Cell Lymphoma.Journal of cellular and molecular medicine · 2025Article
- High resolution profiling of cell cycle-dependent protein and phosphorylation abundance changes in non-transformed cells.Nature communications · 2025Article
- Preliminary antifibrotic and vasoconstrictor effects of adrenaline in Schlemm's canal and suprachoroidal minimally invasive glaucoma surgery in primary open-angle glaucoma.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2025Article
- Article
- ADRB2 serves as a novel biomarker and attenuates alcoholic hepatitis via the SIRT1/PGC-1α/PPARα pathway: integration of WGCNA, machine learning and experimental validation.Frontiers in pharmacology · 2024Article
- DNAJC9 expression in basal-like and luminal A breast cancer subtypes predicts worse survival.Molecular biology reports · 2023Article
- Transcriptomic Modulation Reveals the Specific Cellular Response in Chinese Sea Bass (International journal of molecular sciences · 2023Article
- ETV2 Upregulation Marks the Specification of Early Cardiomyocytes and Endothelial Cells During Co-differentiation.Stem cells (Dayton, Ohio) · 2023Article
- Transcriptome analysis of the binucleate ciliateMolecular biology of the cell · 2023Article
- The transcriptome dynamics of single cells during the cell cycle.Molecular systems biology · 2020Article
- Cell cycle transcriptomics of Capsaspora provides insights into the evolution of cyclin-CDK machinery.PLoS genetics · 2020Article
- Assessing reproducibility of matrix factorization methods in independent transcriptomes.Bioinformatics (Oxford, England) · 2019Article
- Assembly of a parts list of the human mitotic cell cycle machinery.Journal of molecular cell biology · 2019Article
- Unbiased Boolean analysis of public gene expression data for cell cycle gene identification.Molecular biology of the cell · 2019Article
- Determining the optimal number of independent components for reproducible transcriptomic data analysis.BMC genomics · 2017Article
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3 authors.
Funding
Abstract
backgroundCell division is central to the physiology and pathology of all eukaryotic organisms. The molecular machinery underpinning the cell cycle has been studied extensively in a number of species and core aspects of it have been found to be highly conserved. Similarly, the transcriptional changes associated with this pathway have been studied in different organisms and different cell types. In each case hundreds of genes have been reported to be regulated, however there seems to be little consensus in the genes identified across different studies. In a recent comparison of transcriptomic studies of the cell cycle in different human cell types, only 96 cell cycle genes were reported to be the same across all studies examined.
resultsHere we perform a systematic re-examination of published human cell cycle expression data by using a network-based approach to identify groups of genes with a similar expression profile and therefore function. Two clusters in particular, containing 298 transcripts, showed patterns of expression consistent with cell cycle occurrence across the four human cell types assessed.
conclusionsOur analysis shows that there is a far greater conservation of cell cycle-associated gene expression across human cell types than reported previously, which can be separated into two distinct transcriptional networks associated with the G
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