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Gene expression profiles in asbestos-exposed epithelial and mesothelial lung cell lines

BACKGROUND: Asbestos has been shown to cause chromosomal damage and DNA aberrations. Exposure to asbestos causes many lung diseases e.g. asbestosis, malignant mesothelioma, and lung cancer, but the disease-related processes are still largely unknown. We exposed the human cell lines A549, Beas-2B and...

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Autores principales: Nymark, Penny, Lindholm, Pamela M, Korpela, Mikko V, Lahti, Leo, Ruosaari, Salla, Kaski, Samuel, Hollmén, Jaakko, Anttila, Sisko, Kinnula, Vuokko L, Knuutila, Sakari
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2007
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1821332/
https://www.ncbi.nlm.nih.gov/pubmed/17331233
http://dx.doi.org/10.1186/1471-2164-8-62
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author Nymark, Penny
Lindholm, Pamela M
Korpela, Mikko V
Lahti, Leo
Ruosaari, Salla
Kaski, Samuel
Hollmén, Jaakko
Anttila, Sisko
Kinnula, Vuokko L
Knuutila, Sakari
author_facet Nymark, Penny
Lindholm, Pamela M
Korpela, Mikko V
Lahti, Leo
Ruosaari, Salla
Kaski, Samuel
Hollmén, Jaakko
Anttila, Sisko
Kinnula, Vuokko L
Knuutila, Sakari
author_sort Nymark, Penny
collection PubMed
description BACKGROUND: Asbestos has been shown to cause chromosomal damage and DNA aberrations. Exposure to asbestos causes many lung diseases e.g. asbestosis, malignant mesothelioma, and lung cancer, but the disease-related processes are still largely unknown. We exposed the human cell lines A549, Beas-2B and Met5A to crocidolite asbestos and determined time-dependent gene expression profiles by using Affymetrix arrays. The hybridization data was analyzed by using an algorithm specifically designed for clustering of short time series expression data. A canonical correlation analysis was applied to identify correlations between the cell lines, and a Gene Ontology analysis method for the identification of enriched, differentially expressed biological processes. RESULTS: We recognized a large number of previously known as well as new potential asbestos-associated genes and biological processes, and identified chromosomal regions enriched with genes potentially contributing to common responses to asbestos in these cell lines. These include genes such as the thioredoxin domain containing gene (TXNDC) and the potential tumor suppressor, BCL2/adenovirus E1B 19kD-interacting protein gene (BNIP3L), GO-terms such as "positive regulation of I-kappaB kinase/NF-kappaB cascade" and "positive regulation of transcription, DNA-dependent", and chromosomal regions such as 2p22, 9p13, and 14q21. We present the complete data sets as Additional files. CONCLUSION: This study identifies several interesting targets for further investigation in relation to asbestos-associated diseases.
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spelling pubmed-18213322007-03-15 Gene expression profiles in asbestos-exposed epithelial and mesothelial lung cell lines Nymark, Penny Lindholm, Pamela M Korpela, Mikko V Lahti, Leo Ruosaari, Salla Kaski, Samuel Hollmén, Jaakko Anttila, Sisko Kinnula, Vuokko L Knuutila, Sakari BMC Genomics Research Article BACKGROUND: Asbestos has been shown to cause chromosomal damage and DNA aberrations. Exposure to asbestos causes many lung diseases e.g. asbestosis, malignant mesothelioma, and lung cancer, but the disease-related processes are still largely unknown. We exposed the human cell lines A549, Beas-2B and Met5A to crocidolite asbestos and determined time-dependent gene expression profiles by using Affymetrix arrays. The hybridization data was analyzed by using an algorithm specifically designed for clustering of short time series expression data. A canonical correlation analysis was applied to identify correlations between the cell lines, and a Gene Ontology analysis method for the identification of enriched, differentially expressed biological processes. RESULTS: We recognized a large number of previously known as well as new potential asbestos-associated genes and biological processes, and identified chromosomal regions enriched with genes potentially contributing to common responses to asbestos in these cell lines. These include genes such as the thioredoxin domain containing gene (TXNDC) and the potential tumor suppressor, BCL2/adenovirus E1B 19kD-interacting protein gene (BNIP3L), GO-terms such as "positive regulation of I-kappaB kinase/NF-kappaB cascade" and "positive regulation of transcription, DNA-dependent", and chromosomal regions such as 2p22, 9p13, and 14q21. We present the complete data sets as Additional files. CONCLUSION: This study identifies several interesting targets for further investigation in relation to asbestos-associated diseases. BioMed Central 2007-03-01 /pmc/articles/PMC1821332/ /pubmed/17331233 http://dx.doi.org/10.1186/1471-2164-8-62 Text en Copyright © 2007 Nymark et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Nymark, Penny
Lindholm, Pamela M
Korpela, Mikko V
Lahti, Leo
Ruosaari, Salla
Kaski, Samuel
Hollmén, Jaakko
Anttila, Sisko
Kinnula, Vuokko L
Knuutila, Sakari
Gene expression profiles in asbestos-exposed epithelial and mesothelial lung cell lines
title Gene expression profiles in asbestos-exposed epithelial and mesothelial lung cell lines
title_full Gene expression profiles in asbestos-exposed epithelial and mesothelial lung cell lines
title_fullStr Gene expression profiles in asbestos-exposed epithelial and mesothelial lung cell lines
title_full_unstemmed Gene expression profiles in asbestos-exposed epithelial and mesothelial lung cell lines
title_short Gene expression profiles in asbestos-exposed epithelial and mesothelial lung cell lines
title_sort gene expression profiles in asbestos-exposed epithelial and mesothelial lung cell lines
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1821332/
https://www.ncbi.nlm.nih.gov/pubmed/17331233
http://dx.doi.org/10.1186/1471-2164-8-62
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