ArticleAmerican journal of respiratory cell and molecular biology2008
A functional and regulatory map of asthma.
Article in American journal of respiratory cell and molecular biology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
24 citing papers in PubMed, 1 synthesis or guideline pooled it, 54 citations in OpenAlex.
- Revealing the acute asthma ignorome: characterization and validation of uninvestigated gene networks.Scientific reports · 2016Pooled it
- Review
- The Atlas of Inflammation Resolution (AIR).Molecular aspects of medicine · 2020Review
- Navigating the disease landscape: knowledge representations for contextualizing molecular signatures.Briefings in bioinformatics · 2019Review
- A disease module in the interactome explains disease heterogeneity, drug response and captures novel pathways and genes in asthma.Human molecular genetics · 2015Article
- Integrative multi-omics module network inference with Lemon-Tree.PLoS computational biology · 2015Article
- Degree-adjusted algorithm for prioritisation of candidate disease genes from gene expression and protein interactome.IET systems biology · 2014Article
- Systems biology approaches to understanding Epithelial Mesenchymal Transition (EMT) in mucosal remodeling and signaling in asthma.The World Allergy Organization journal · 2014Review
- Systems biology approaches to identify developmental bases for lung diseases.Pediatric research · 2013Review
- Integrative systems biology approaches in asthma pharmacogenomics.Pharmacogenomics · 2012Review
- Biomarkers of disease and treatment in murine and cynomolgus models of chronic asthma.Biomarker insights · 2012Article
- Article
- Functional analysis of two distinct bronchiolar progenitors during lung injury and repair.American journal of respiratory cell and molecular biology · 2011Article
- MicroRNAs profiling in murine models of acute and chronic asthma: a relationship with mRNAs targets.PloS one · 2011Article
- Ranking candidate disease genes from gene expression and protein interaction: a Katz-centrality based approach.PloS one · 2011Article
- Systems biology and heart failure: concepts, methods, and potential research applications.Heart failure reviews · 2010Review
- Clara cells attenuate the inflammatory response through regulation of macrophage behavior.American journal of respiratory cell and molecular biology · 2010Article
- T lymphocyte apoptosis in asthma.European journal of medical research · 2009Review
- WNT5A is a regulator of fibroblast proliferation and resistance to apoptosis.American journal of respiratory cell and molecular biology · 2009Article
- Network analysis of temporal effects of intermittent and sustained hypoxia on rat lungs.Physiological genomics · 2008Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 2 countries.
Funding
Abstract
The prevalence and morbidity of asthma, a chronic inflammatory airway disease, is increasing. Animal models provide a meaningful but limited view of the mechanisms of asthma in humans. A systems-level view of asthma that integrates multiple levels of molecular and functional information is needed. For this, we compiled a gene expression compendium from five publicly available mouse microarray datasets and a gene knowledge base of 4,305 gene annotation sets. Using this collection we generated a high-level map of the functional themes that characterize animal models of asthma, dominated by innate and adaptive immune response. We used Module Networks analysis to identify co-regulated gene modules. The resulting modules reflect four distinct responses to treatment, including early response, general induction, repression, and IL-13-dependent response. One module with a persistent induction in response to treatment is mainly composed of genes with suggested roles in asthma, suggesting a similar role for other module members. Analysis of IL-13-dependent response using protein interaction networks highlights a role for TGF-beta1 as a key regulator of asthma. Our analysis demonstrates the discovery potential of systems-level approaches and provides a framework for applying such approaches to asthma.
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What OpenQuestion holds
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.