Effects of cigarette smoke on the human airway epithelial cell transcriptome.
By A. Spira, J. Beane, Vishal Shah, Gang Liu, F. Schembri, Xue Yang, J. Palma, J. Brody. Proceedings of the National Academy of Sciences of the United States of America, 2004
619 citations recorded by the source corpus.
Subfields: Molecular Biology, Physiology
View Paper: https://www.semanticscholar.org/paper/16c9925285ff0e68e1eada904dfbfa850515b92e
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In Molecular Biology
- Jun Lu
- Paola Sebastiani
- Michael Rutter
- Thomas B. Kepler
- John K. Tomfohr
- Terrie E. Moffitt
- Avshalom Caspi
- Seon-Young Kim
In Physiology
Citations in the corpus
- Airway epithelial gene expression in the diagnostic evaluation of smokers with suspect lung cancer (2007, background): “Using DNA microarrays, we recently described smoking-induced changes in the gene expression of large-airway epithelial cells obtained during bronchoscopy from nonsmokers and from current and former smokers without lung cance”
- Gene-environment interplay and psychopathology: multiple varieties but real effects. (2006, background): “An interesting study by Spira et al. (2004) compared gene expression in smokers and non-smokers, finding that cigarette smoking affected the expression of multiple genes involved with carcinogenesis and the regulation of airway inflammation.”
- Pathway level analysis of gene expression using singular value decomposition (2005, background): “[10] The present analysis, however, reveals more directly the functional relationship shared by the genes and draws special attention to the role of this pathway in the physiological response to smoking.”
- Gene Expression Signature of Cigarette Smoking and Its Role in Lung Adenocarcinoma Development and Survival (2008, background): “Our results are consistent with some previous findings, such as smoking-related alteration of CYP1B1[9,10] or of the mitotic pathway in cancer survival.”
- D-MORPH regression: application to modeling with unknown parameters more than observation data (2010, background): “In genomics, a modest number of observations may be available compared to the total number of genes involved [ 4 ].”