ArticleBMC genomics2010
Genome-wide expression patterns in physiological cardiac hypertrophy.
Article in BMC genomics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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.
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Who cites it
10 citing papers in PubMed.
- Investigating core genetic-and-epigenetic cell cycle networks for stemness and carcinogenic mechanisms, and cancer drug design using big database mining and genome-wide next-generation sequencing data.Cell cycle (Georgetown, Tex.) · 2016Article
- Gene network-based analysis identifies two potential subtypes of small intestinal neuroendocrine tumors.BMC genomics · 2014Article
- Nrf2 deficiency prevents reductive stress-induced hypertrophic cardiomyopathy.Cardiovascular research · 2013Article
- Proteomics: from single molecules to biological pathways.Cardiovascular research · 2013Review
- EGFR/TGFα and TGFβ/CTGF Signaling in Neuroendocrine Neoplasia: Theoretical Therapeutic Targets.Neuroendocrinology · 2013Review
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- Article
- Panhistone deacetylase inhibitors inhibit proinflammatory signaling pathways to ameliorate interleukin-18-induced cardiac hypertrophy.Physiological genomics · 2011Article
- Functional Genomics Assistant (FUGA): a toolbox for the analysis of complex biological networks.BMC research notes · 2011Article
- In search of new therapeutic targets and strategies for heart failure: recent advances in basic science.Lancet (London, England) · 2011Review
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
backgroundGenome-wide expression patterns in physiological cardiac hypertrophy. Co-expression patterns in physiological cardiac hypertrophy
resultsIn this study, the first large-scale analysis of publicly available genome-wide expression data of several in vivo murine models of physiological LVH was carried out using network analysis. On evaluating 3 million gene co-expression patterns across 141 relevant microarray experiments, it was found that physiological adaptation is an evolutionarily conserved processes involving preservation of the function of cytochrome c oxidase, induction of autophagy compatible with cell survival, and coordinated regulation of angiogenesis.
conclusionThis analysis not only identifies known biological pathways involved in physiological LVH, but also offers novel insights into the molecular basis of this phenotype by identifying key networks of co-expressed genes, as well as their topological and functional properties, using relevant high-quality microarray experiments and network inference.
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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.