ArticleAmerican journal of respiratory cell and molecular biology2013
Functional genomic assessment of phosgene-induced acute lung injury in mice.
Article in American journal of respiratory cell and molecular biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 19 citations in OpenAlex.
- Common genetic variation influencing the human lung imaging phenotypes.Nature communications · 2025Article
- Prospective study and validation of early warning marker discovery based on integrating multi-omics analysis in severe burn patients with sepsis.Burns & trauma · 2023Article
- Genetic determinants of ammonia-induced acute lung injury in mice.American journal of physiology. Lung cellular and molecular physiology · 2021Article
- Identification of amitriptyline HCl, flavin adenine dinucleotide, azacitidine and calcitriol as repurposing drugs for influenza A H5N1 virus-induced lung injury.PLoS pathogens · 2020Article
- Enhanced efficacy of the engineered antimicrobial peptide WLBU2 via direct airway delivery in a murine model of Pseudomonas aeruginosa pneumonia.Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases · 2018Article
- An Official American Thoracic Society Workshop Report: Chemical Inhalational Disasters. Biology of Lung Injury, Development of Novel Therapeutics, and Medical Preparedness.Annals of the American Thoracic Society · 2017Article
- Tracing the dynamics of gene transcripts after organismal death.Open biology · 2017Article
- The Mbd4 DNA glycosylase protects mice from inflammation-driven colon cancer and tissue injury.Oncotarget · 2016Article
- Characterization of a nose-only inhaled phosgene acute lung injury mouse model.Inhalation toxicology · 2015Article
- Beyond single-nucleotide polymorphisms: genetics, genomics, and other 'omic approaches to acute respiratory distress syndrome.Clinics in chest medicine · 2014Review
Corrections and comments
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Authors and funding
21 authors at 5 institutions in 2 countries.
Funding
Abstract
In this study, a genetically diverse panel of 43 mouse strains was exposed to phosgene and genome-wide association mapping performed using a high-density single nucleotide polymorphism (SNP) assembly. Transcriptomic analysis was also used to improve the genetic resolution in the identification of genetic determinants of phosgene-induced acute lung injury (ALI). We prioritized the identified genes based on whether the encoded protein was previously associated with lung injury or contained a nonsynonymous SNP within a functional domain. Candidates were selected that contained a promoter SNP that could alter a putative transcription factor binding site and had variable expression by transcriptomic analyses. The latter two criteria also required that ≥10% of mice carried the minor allele and that this allele could account for ≥10% of the phenotypic difference noted between the strains at the phenotypic extremes. This integrative, functional approach revealed 14 candidate genes that included Atp1a1, Alox5, Galnt11, Hrh1, Mbd4, Phactr2, Plxnd1, Ptprt, Reln, and Zfand4, which had significant SNP associations, and Itga9, Man1a2, Mapk14, and Vwf, which had suggestive SNP associations. Of the genes with significant SNP associations, Atp1a1, Alox5, Plxnd1, Ptprt, and Zfand4 could be associated with ALI in several ways. Using a competitive electrophoretic mobility shift analysis, Atp1a1 promoter (rs215053185) oligonucleotide containing the minor G allele formed a major distinct faster-migrating complex. In addition, a gene with a suggestive SNP association, Itga9, is linked to transforming growth factor β1 signaling, which previously has been associated with the susceptibility to ALI in mice.
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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 Socratic graph.