Literature DB >> 15326394

Global gene expression analysis of human bronchial epithelial cells treated with tobacco condensates.

Ellen D Jorgensen1, Igor Dozmorov, Mark B Frank, Michael Centola, Anthony P Albino.   

Abstract

Gene expression patterns were assessed in normal human bronchial epithelial (NHBE) cells exposed to cigarette smoke condensates (CSC) from commercial cigarettes in order to develop a better understanding of the genomic impact of tobacco exposure, and to define biomarkers that can potentially discriminate tobacco-related effects and outcomes in a clinical setting. NHBE cells were treated with CSCs from two American brands for up to 12 hours in the presence of S9 microsomal fraction from Aroclor 1254-treated rats. High-density oligonucleotide microarrays coupled with a novel statistical analysis that relies on statistical significance levels rather than arbitrary fold-change differences was used to identify genes that undergo expression alterations upon treatment. Expression patterns of approximately 3700 genes were altered after CSC treatments. While a majority of these genes were affected by both CSCs, each condensate also affected a unique subset of approximately 1000 genes. An unexpected finding was that S9, required for metabolizing procarcinogens in CSCs to carcinogenic metabolites, also altered the expression of approximately 1700 genes. Exposure of NHBE cells to different CSCs alters the expression of a large set of genes that affect a common set of biological pathways including those relevant to carcinogenesis. Identification of CSC-affected genes and underlying biological processes may generate an atlas of molecular events that includes biomarkers of tobacco exposure and disease status in smokers. Finally, the finding that S9 affects the expression of a number of genes may have implications for various toxicogenetic assays currently used by regulatory agencies to evaluate harmful effects in exposed humans.

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Year:  2004        PMID: 15326394

Source DB:  PubMed          Journal:  Cell Cycle        ISSN: 1551-4005            Impact factor:   4.534


  11 in total

1.  MicroRNAs as modulators of smoking-induced gene expression changes in human airway epithelium.

Authors:  Frank Schembri; Sriram Sridhar; Catalina Perdomo; Adam M Gustafson; Xiaoling Zhang; Ayla Ergun; Jining Lu; Gang Liu; Xiaohui Zhang; Jessica Bowers; Cyrus Vaziri; Kristen Ott; Kelly Sensinger; James J Collins; Jerome S Brody; Robert Getts; Marc E Lenburg; Avrum Spira
Journal:  Proc Natl Acad Sci U S A       Date:  2009-01-23       Impact factor: 11.205

Review 2.  Evaluation of in vitro assays for assessing the toxicity of cigarette smoke and smokeless tobacco.

Authors:  Michael D Johnson; Jodi Schilz; Mirjana V Djordjevic; Jerry R Rice; Peter G Shields
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2009-12       Impact factor: 4.254

3.  Smoking attenuates transforming growth factor-β-mediated tumor suppression function through downregulation of Smad3 in lung cancer.

Authors:  Debangshu Samanta; Adriana L Gonzalez; Nagaraj Nagathihalli; Fei Ye; David P Carbone; Pran K Datta
Journal:  Cancer Prev Res (Phila)       Date:  2012-01-09

4.  gammaH2AX: A potential DNA damage response biomarker for assessing toxicological risk of tobacco products.

Authors:  Anthony P Albino; Ellen D Jorgensen; Patrick Rainey; Gene Gillman; T Jeffrey Clark; Diana Gietl; Hong Zhao; Frank Traganos; Zbigniew Darzynkiewicz
Journal:  Mutat Res       Date:  2009-07-08       Impact factor: 2.433

5.  Chemical exposure as etiology in developmental origin of adult onset human cancer.

Authors:  Kirsi Vähäkangas
Journal:  Front Pharmacol       Date:  2011-12-16       Impact factor: 5.810

6.  STEM: a tool for the analysis of short time series gene expression data.

Authors:  Jason Ernst; Ziv Bar-Joseph
Journal:  BMC Bioinformatics       Date:  2006-04-05       Impact factor: 3.169

7.  Cigarette smoke induces endoplasmic reticulum stress and the unfolded protein response in normal and malignant human lung cells.

Authors:  Ellen Jorgensen; Andy Stinson; Lin Shan; Jin Yang; Diana Gietl; Anthony P Albino
Journal:  BMC Cancer       Date:  2008-08-11       Impact factor: 4.430

8.  Internal standard-based analysis of microarray data. Part 1: analysis of differential gene expressions.

Authors:  Igor Dozmorov; Ivan Lefkovits
Journal:  Nucleic Acids Res       Date:  2009-08-31       Impact factor: 16.971

9.  Reversible and permanent effects of tobacco smoke exposure on airway epithelial gene expression.

Authors:  Jennifer Beane; Paola Sebastiani; Gang Liu; Jerome S Brody; Marc E Lenburg; Avrum Spira
Journal:  Genome Biol       Date:  2007       Impact factor: 13.583

10.  Transcriptome sequencing reveals e-cigarette vapor and mainstream-smoke from tobacco cigarettes activate different gene expression profiles in human bronchial epithelial cells.

Authors:  Yifei Shen; Michael J Wolkowicz; Tatyana Kotova; Lonjiang Fan; Michael P Timko
Journal:  Sci Rep       Date:  2016-04-04       Impact factor: 4.379

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