ArticleBMC systems biology2010
Patterns of human gene expression variance show strong associations with signaling network hierarchy.
Article in BMC systems biology, 2010. 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, 31 citations in OpenAlex.
- Robust and adaptive non-parametric tests for detecting general distributional shifts in gene expression.Cell reports methods · 2025Article
- Improving data interpretability with new differential sample variance gene set tests.BMC bioinformatics · 2025Article
- Quantifying transcriptome diversity: a review.Briefings in functional genomics · 2024Review
- Effects of TP63 mutations on keratinocyte adhesion and migration.Experimental dermatology · 2023Article
- clrDV: a differential variability test for RNA-Seq data based on the skew-normal distribution.PeerJ · 2023Article
- Identification of differentially distributed gene expression and distinct sets of cancer-related genes identified by changes in mean and variability.NAR genomics and bioinformatics · 2022Article
- Co-expression network analysis predicts a key role of microRNAs in the adaptation of the porcine skeletal muscle to nutrient supply.Journal of animal science and biotechnology · 2020Article
- Epigenetic and genetic deregulation in cancer target distinct signaling pathway domains.Nucleic acids research · 2017Article
- Graph-theoretical model of global human interactome reveals enhanced long-range communicability in cancer networks.PloS one · 2017Article
- Involvement of Chromatin Remodeling Genes and the Rho GTPasesFrontiers in oncology · 2017Article
- Increased signaling entropy in cancer requires the scale-free property of protein interaction networks.Scientific reports · 2015Article
- Integrative network-based approach identifies key genetic elements in breast invasive carcinoma.BMC genomics · 2015Article
- Protein conservation and variation suggest mechanisms of cell type-specific modulation of signaling pathways.PLoS computational biology · 2014Article
- Natural Variation in Fish Transcriptomes: Comparative Analysis of the Fathead Minnow (Pimephales promelas) and Zebrafish (Danio rerio).PloS one · 2014Article
- MicroRNA buffering and altered variance of gene expression in response to Salmonella infection.PloS one · 2014Article
- Differential network entropy reveals cancer system hallmarks.Scientific reports · 2012Article
- Assessing the utility of gene co-expression stability in combination with correlation in the analysis of protein-protein interaction networks.BMC genomics · 2011Article
- Proteomics and systems biology: current and future applications in the nutritional sciences.Advances in nutrition (Bethesda, Md.) · 2011Review
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
backgroundUnderstanding organizational principles of cellular networks is one of the central goals of systems biology. Although much has been learnt about gene expression programs under specific conditions, global patterns of expressional variation (EV) of genes and their relationship to cellular functions and physiological responses is poorly understood.
resultsTo understand global principles of relationship between transcriptional regulation of human genes and their functions, we have leveraged large-scale datasets of human gene expression measurements across a wide spectrum of cell conditions. We report that human genes are highly diverse in terms of their EV; while some genes have highly variable expression pattern, some seem to be relatively ubiquitously expressed across a wide range of conditions. The wide spectrum of gene EV strongly correlates with the positioning of proteins within the signaling network hierarchy, such that, secreted extracellular receptor ligands and membrane receptors have the highest EV, and intracellular signaling proteins have the lowest EV in the genome. Our analysis shows that this pattern of EV reflects functional centrality: proteins with highly specific signaling functions are modulated more frequently than those with highly central functions in the network, which is also consistent with previous studies on tissue-specific gene expression. Interestingly, these patterns of EV along the signaling network hierarchy have significant correlations with promoter architectures of respective genes.
conclusionOur analyses suggest a generic systems level mechanism of regulation of the cellular signaling network at the transcriptional level.
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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.