ArticleAmerican journal of respiratory and critical care medicine2008
Disease-specific gene expression profiling in multiple models of lung disease.
Article in American journal of respiratory and critical care medicine, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers, 2 of them syntheses that pooled it.
What it found
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Who cites it
57 citing papers in PubMed, 2 syntheses or guidelines pooled it, 100 citations in OpenAlex.
- Meta-analysis of transcriptomic responses as a means to identify pulmonary disease outcomes for engineered nanomaterials.Particle and fibre toxicology · 2016Pooled it
- Identification of a common gene expression response in different lung inflammatory diseases in rodents and macaques.PloS one · 2008Pooled it
- Gene set enrichment analysis identifies key innate immune pathways in primary graft dysfunction after lung transplantation.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2013Trial
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- Cathepsin S: investigating an old player in lung disease pathogenesis, comorbidities, and potential therapeutics.Respiratory research · 2020Review
- Bayesian differential analysis of gene regulatory networks exploiting genetic perturbations.BMC bioinformatics · 2020Article
- Synthesis and evaluation of tetrahydropyrazolopyridine inhibitors of anion exchange protein SLC26A4 (pendrin).Bioorganic & medicinal chemistry letters · 2019Article
- Interleukin-Mediated Pendrin Transcriptional Regulation in Airway and Esophageal Epithelia.International journal of molecular sciences · 2019Review
- Identification of molecular signatures of cystic fibrosis disease status with plasma-based functional genomics.Physiological genomics · 2019Article
- Characterization of Host Responses during Pseudomonas aeruginosa Acute Infection in the Lungs and Blood and after Treatment with the Synthetic Immunomodulatory Peptide IDR-1002.Infection and immunity · 2019Article
- A Three-Dimensional Human Tissue-Engineered Lung Model to Study Influenza A Infection.Tissue engineering. Part A · 2018Article
- Hippocampal metabolic differences implicate distinctions between physical and psychological stress in four rat models of depression.Translational psychiatry · 2018Article
- Proteomic and transcriptomic analysis of lung tissue in OVA-challenged mice.Archives of pharmacal research · 2018Article
Corrections and comments
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Authors and funding
12 authors at 8 institutions in 3 countries.
Funding
Abstract
rationaleMicroarray technology is widely employed for studying the molecular mechanisms underlying complex diseases. However, analyses of individual diseases or models of diseases frequently yield extensive lists of differentially expressed genes with uncertain relationships to disease pathogenesis.
objectivesTo compare gene expression changes in a heterogeneous set of lung disease models in order to identify common gene expression changes seen in diverse forms of lung pathology, as well as relatively small subsets of genes likely to be involved in specific pathophysiological processes.
methodsWe profiled lung gene expression in 12 mouse models of infection, allergy, and lung injury. A linear model was used to estimate transcript expression changes for each model, and hierarchical clustering was used to compare expression patterns between models. Selected expression changes were verified by quantitative polymerase chain reaction. MEASUREMENTS AND MAIN
resultsA total of 24 transcripts, including many involved in inflammation and immune activation, were differentially expressed in a substantial majority (9 or more) of the models. Expression patterns distinguished three groups of models: (1) bacterial infection (n = 5), with changes in 89 transcripts, including many related to nuclear factor-kappaB signaling, cytokines, chemokines, and their receptors; (2) bleomycin-induced diseases (n = 2), with changes in 53 transcripts, including many related to matrix remodeling and Wnt signaling; and (3) T helper cell type 2 (allergic) inflammation (n = 5), with changes in 26 transcripts, including many encoding epithelial secreted molecules, ion channels, and transporters.
conclusionsThis multimodel dataset highlights novel genes likely involved in various pathophysiological processes and will be a valuable resource for the investigation of molecular mechanisms underlying lung disease pathogenesis.
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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.