Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Expression data from human liver cell line induced by PCB77

ABSTRACT: Exposure to Polychlorobiphenyls (PCBs) is known to cause serious health effects in human but the gene expression profiles leading to development of different diseases is not fully understood. The knowledge of global gene expression will help us to develop early diagnostic biomarkers for PCB induced health effects. We used microarrays to detail the global gene expression profile underlying the effects of PCB77 on human liver cells leading to identification of distinct classes of up-regulated and down-regulated genes and cellular processes. Keywords: time course The HepG2 cells were grown for 48 hours in DMEM supplemented with 10% FBS and 1X Pennicillin-Streptromycin and treated with PCB77 for different times. Trizol extraction of total RNA was performed according to the manufacturer's instructions. Biotinylated cRNA were prepared according to the standard Affymetrix protocol from 6 microgram of total RNA (Expression Analysis Technical Manual, 2001, Affymetrix). Following fragmentation, 10 microgram of cRNA were hybridized for 16 hr at 45C on GeneChip Human Genome Array (HGU133 plus 2.0). GeneChips were washed and stained in the Affymetrix Fluidics Station 450 and scanned using the Affymetrix GeneArray Scanner 3000. The data were analyzed with Microarray Suite version 5.0 (MAS 5.0) using Affymetrix default analysis settings and global scaling as normalization method. The trimmed mean target intensity of each array was arbitrarily set to 150.

ORGANISM(S): Homo sapiens

SUBMITTER: Sisir Dutta

PROVIDER: E-GEOD-6869 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Publications

PCB congener specific oxidative stress response by microarray analysis using human liver cell line.

De Supriyo S Ghosh Somiranjan S Chatterjee Raghunath R Chen Y-Q YQ Moses Linda L Kesari Akanchha A Hoffman Eric P EP Dutta Sisir K SK

Environment international 20100717 8

In this study we have examined the effect of exposure to different congeners of PCBs and their role in oxidative stress response. A metabolically competent human liver cell line (HepG2) was exposed with two prototype congeners of PCBs: coplanar PCB-77 and non-coplanar PCB-153. After the predetermined times of exposure (0-24h) at 70 μM concentration, the HepG2 cells showed significant apoptotic changes by fluorescent microscopy after 12h of exposure. Gene set enrichment analysis (GSEA) identified ...[more]

PMID: 20638727

Similar Datasets

Project description:Microarray technology provides a powerful tool for defining gene expression profiles of airway epithelium that lend insight into the pathogenesis of human airway disorders. The focus of this study was to establish rigorous quality control parameters to ensure that microarray assessment of the airway epithelium is not confounded by experimental artifact. Samples (total n=223) of trachea, large and small airway epithelium were collected by fiberoptic bronchoscopy of 144 individuals (42 healthy non-smokers, 49 healthy smokers, 11 symptomatic smokers, 22 smokers with lone emphysema with normal spirometry, and 20 smokers with COPD) were processed and hybridized to Affymetrix HG-U133 2.0 Plus microarrays. The pre- and post-chip quality control (QC) criteria established, included: (1) RNA quality, assessed by RNA Integrity Number (RIN) ≥7.0 using Agilent 2100 Bioanalyzer software; (2) cRNA transcript integrity, assessed by signal intensity ratio of GAPDH 3' to 5' probe sets ≤3.0; and (3) the multi-chip normalization scaling factor ≤10.0 Of the 223 samples, 213 (95.5%) passed the QC criteria. In a data set of 34 arrays (10 samples failing QC criteria, 24 randomly chosen samples passing QC criteria), correlation coefficients for pairwise comparisons of expression levels for 100 housekeeping genes in which at least one array failed the QC criteria were significantly lower (average Pearson r = 0.90 ± 0.04) and more broadly dispersed than correlation coefficients for pairwise comparisons between any two arrays that passed the QC criteria (average Pearson r = 0.97 ± 0.01). By using the QC cutoff criteria, the inter-array variability, as assessed by the coefficient of variation in the expression levels for 100 housekeeping genes, was reduced from 35.7% to 21.7%. Based on the aberrant housekeeping gene data generated from samples failing the established QC criteria, we propose that the QC criteria outlined in this study can accurately distinguish high quality from low quality data and can be used to delete poor quality microarray samples before proceeding to higher-order biological analyses and interpretation. Affymetrix arrays were used to assess the quality of gene expression data in trachea, large airway and small airway epithelium obtained by fiberoptic bronchoscopy of 42 healthy non-smokers, 49 healthy smokers, 11 symptomatic smokers, 22 smokers with lone emphysema with normal spirometry, and 20 smokers with COPD.

Dataset Information

Expression data from human liver cell line induced by PCB77

Publications

PCB congener specific oxidative stress response by microarray analysis using human liver cell line.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets