Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Transcription profiling of human lung cell lines A549, Beas-2B, and MeT5A exposed to asbestos, sampled at multiple time points

ABSTRACT: Asbestos has been shown to cause chromosomal damage and DNA aberrations. The fiber is associated with many different lung diseases such as asbestosis, malignant mesothelioma, and lung cancer, but the disease-related processes are still largely unknown. Our aim was to identify specific gene expression profiles by using Affymetrix arrays, in human cell lines A549, Beas-2B, and MeT5A exposed to asbestos in a time-dependent manner. The hybridization data was analyzed using an algorithm specifically designed for clustering short time series expression data, a canonical correlation analysis (CCA) for identifying correlations between the cell lines, and a Gene Ontology (GO) analysis method for the identification of enriched differentially expressed biological processes. Samples from three cell lines were collected from asbestos exposed and non-exposed controls at 1h, 6h, 24h, 48h and 7 (168h) days (not all time-points for each cell lines). Replicates were done for one exposed sample of each cell line.

ORGANISM(S): Homo sapiens

SUBMITTER: Penny Nymark

PROVIDER: E-GEOD-6013 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

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

Nymark Penny P Lindholm Pamela M PM Korpela Mikko V MV Lahti Leo L Ruosaari Salla S Kaski Samuel S Hollmén Jaakko J Anttila Sisko S Kinnula Vuokko L VL Knuutila Sakari S

BMC genomics 20070301

<h4>Background</h4>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 ...[more]

PMID: 17331233

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Project description:Recent in vivo studies reported that inhaled carbon nanotube distribute in the alveolar region resulting in an acute inflammation, progressive fibrotic response and particle accumulation at the bronchoalveolar junction with low clearance. With similar biopersistence and shape as asbestos, a known lung carcinogen, growing concern has arisen for elevated risk of carbon nanotube-induced lung carcinogenesis; however few studies have evaluated long-term human health risks associated with chronic pulmonary carbon nanotube exposures compared to asbestos. To address this knowledge gap, we conducted subchronic in vitro exposures of dispersed single walled carbon nanotube, multi-walled carbon nanotube and crocidolite asbestos to human small airway epithelial cells to assess their neoplastic transformation potential. Subchronic single-, multi-walled carbon nanotube and asbestos exposures caused human lung cell neoplastic transformation exhibited by increased proliferation, anchorage-independent growth, invasion and angiogenesis. Whole genome profiling and protein expression analyses showed that carbon nanotube-induced transformation mechanism(s) was largely different from asbestos-related inflammatory signaling, suggesting specific carbon nanotube-induced carcinogenic potential. This study provides novel carbon nanotube and asbestos toxicogenomic information for risk assessment and an in vitro model to evaluate transformation potential of carbon nanotubes and other nanoparticles. Whole genome expression profiling was conducted on human immortalized small airway epithelial cells (SAEC-hTERT) following 6 month in vitro chronic exposure to six separate treatments to assess differences in carbon nanotube (CNT) vs. asbestos potential tumorigenesis signaling. Dispersed single wall CNT (D-SWCNT), multi-wall CNT (D-MWCNT), ultrafine carbon black (D-UFCB), crocidolite asbestos (ASB) and saline (SAL) exposed cells were compared to SurvantaM-BM-. dispersant (DISP) passage control cells. Each treatment possessed 3 biological cDNA replicates. One technical replicate was performed per biological sample.

Dataset Information

Transcription profiling of human lung cell lines A549, Beas-2B, and MeT5A exposed to asbestos, sampled at multiple time points

Publications

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

Similar Datasets

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