Integrative transcriptomic of human bronchial BEAS-2B exposed to seasonal urban PM
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
SUBMITTER: Cristina Battaglia
PROVIDER: E-MTAB-3630 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
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Project description:This SuperSeries is composed of the following subset Series:; GSE14383: Effects of chronic exposure of human bronchial epithelial cells to low doses of cigarette smoke condensate; GSE14385: Response of bronchial epithelial cells to low doses of cigarette smoke condensate and subsequent demethylation agent Experiment Overall Design: Refer to individual Series
2009-08-09 | E-GEOD-14461 | biostudies-arrayexpress
Project description:High-throughput measurement technologies produce data sets that have the potential to elucidate the biological impact of disease, drug treatment, and environmental agents on humans. The scientific community faces an ongoing challenge in the analysis of these rich data sources to more accurately characterize biological processes that have been perturbed at the mechanistic level. Here, a new approach is built on previous methodologies in which high-throughput data was interpreted using prior biological knowledge of cause and effect relationships. These relationships are structured into network models that describe specific biological processes, such as inflammatory signaling or cell cycle progression. This enables quantitative assessment of network perturbation in response to a given stimulus.<br>Four complementary methods were devised to quantify treatment-induced activity changes in processes described by network models. In addition, companion statistics were developed to qualify significance and specificity of the results. This approach is called Network Perturbation Amplitude (NPA) scoring because the amplitudes of treatment-induced perturbations are computed for biological network models. The NPA methods were tested on two transcriptomic data sets: normal human bronchial epithelial (NHBE) cells treated with the pro-inflammatory signaling mediator TNFa, and HCT116 colon cancer cells treated with the CDK cell cycle inhibitor R547. Each data set was scored against network models representing different aspects of inflammatory signaling and cell cycle progression, and these scores were compared with independent measures of pathway activity in NHBE cells to verify the approach. The NPA scoring method successfully quantified the amplitude of TNFa-induced perturbation for each network model when compared against NF-kB nuclear localization and cell number. In addition, the degree and specificity to which CDK-inhibition affected cell cycle and inflammatory signaling were meaningfully determined.<br>The NPA scoring method leverages high-throughput measurements and a priori literature-derived knowledge in the form of network models to characterize the activity change for a broad collection of biological processes at high-resolution. Applications of this framework include comparative assessment of the biological impact caused by environmental factors, toxic substances, or drug treatments.
2012-04-15 | E-MTAB-1027 | biostudies-arrayexpress
Project description:High-throughput measurement technologies produce data sets that have the potential to elucidate the biological impact of disease, drug treatment, and environmental agents on humans. The scientific community faces an ongoing challenge in the analysis of these rich data sources to more accurately characterize biological processes that have been perturbed at the mechanistic level. Here, a new approach is built on previous methodologies in which high-throughput data was interpreted using prior biological knowledge of cause and effect relationships. These relationships are structured into network models that describe specific biological processes, such as inflammatory signaling or cell cycle progression. This enables quantitative assessment of network perturbation in response to a given stimulus. Four complementary methods were devised to quantify treatment-induced activity changes in processes described by network models. In addition, companion statistics were developed to qualify significance and specificity of the results. This approach is called Network Perturbation Amplitude (NPA) scoring because the amplitudes of treatment-induced perturbations are computed for biological network models. The NPA methods were tested on two transcriptomic data sets: normal human bronchial epithelial (NHBE) cells treated with the pro-inflammatory signaling mediator TNFa, and HCT116 colon cancer cells treated with the CDK cell cycle inhibitor R547. Each data set was scored against network models representing different aspects of inflammatory signaling and cell cycle progression, and these scores were compared with independent measures of pathway activity in NHBE cells to verify the approach. The NPA scoring method successfully quantified the amplitude of TNFa-induced perturbation for each network model when compared against NF-kB nuclear localization and cell number. In addition, the degree and specificity to which CDK-inhibition affected cell cycle and inflammatory signaling were meaningfully determined. The NPA scoring method leverages high-throughput measurements and a priori literature-derived knowledge in the form of network models to characterize the activity change for a broad collection of biological processes at high-resolution. Applications of this framework include comparative assessment of the biological impact caused by environmental factors, toxic substances, or drug treatments.
2012-12-15 | E-MTAB-1311 | biostudies-arrayexpress
Project description:Exposure to cigarette smoke is a leading cause of lung diseases including chronic obstructive pulmonary disease and cancer. Cigarette smoke is a complex aerosol containing over 6000 chemicals, and thus it is difficult to determine individual contributions to overall toxicity, and the molecular mechanisms by which smoke constituents exert their effects. We selected three well-known harmful and potentially harmful constituents (HPHCs) in tobacco smoke: acrolein, formaldehyde and catechol and established a High Content Screening (HCS) method using normal human bronchial epithelial cells, which are the first bronchial cells in contact with cigarette smoke. The impact of each HPHC was investigated using 13 multi-parametric indicators of cellular toxicity and complemented with a microarray-based whole transcriptome analysis followed by a computational approach leveraging mechanistic network models to identify and quantify perturbed molecular pathways. HPHCs were evaluated over a wide range of concentrations and at different exposure time points (4 h, 8 h, and 24 h). By High Content Screening, the toxic effects of the three HPHCs could only be observed at the highest doses. Whole genome transcriptomics unraveled toxicity mechanisms at lower doses and earlier time points. The most prevalent toxicity mechanisms observed were: DNA damage/growth arrest, oxidative stress, mitochondrial stress and apoptosis/necrosis. In summary, combination of multiple toxicological endpoints with a systems-based impact assessment allows for a more robust scientific basis for the toxicological assessment of HPHCs that allows insight into time- and dose-dependent molecular perturbations of specific biological pathways. This approach allowed us to establish an in vitro Systems Toxicology platform that can be applied to a broader selection of HPHCs and their mixtures and can serve more generally as the basis for testing the impact of other environmental toxicants on normal bronchial epithelial cells.
2014-05-09 | E-MTAB-2080 | biostudies-arrayexpress
Project description:The study seeks to identify the epigenetic changes caused by exposure of to cigarette smoke condensate. To this goal human bronchial epithelial cells, BEAS-2B, were treated with 5-aza-2âdeoxycitidine and trychostatin A (5AzaC/TSA) subsequent to a chronic exposure (1 month) to cigarette smoke condensate (CSC). As negative control served BEAS-2B cells that were untreated or treated with CSC/DMSO for one month without the subsequent application of 5Aza/TSA. Experiment Overall Design: BEAS-2B Cells were treated for one month with CSC, DMSO, and left untreated. Subsequently half of the samples were treated with the demethylation agent. So that there were six different conditions with three biological replicates each. One sample had to be excluded because of low quality.
2009-08-15 | E-GEOD-14385 | biostudies-arrayexpress
Project description:Microarray profiling using the Affymetrix GeneChip Human Genome U133 plus 2.0 arrays was performed to comprehensively determine global changes in transcript levels in bronchial epithelial cells following elastase treatment. Elastase caused a significant change in expression (P < 0.05, fold change 1.5) of 364 transcripts corresponding to 348 genes. Elastase affected the expression of signaling molecules including chemokines, cytokines, and receptors, as well as components of the spliceosome, transcription machinery, cell cycle and ubiquitin-mediated proteolysis. Importantly, the transcriptional response to elastase was attenuated by co-administration of 10 M-BM-5M symplostatin 5. Comparison of the global heatmap of significantly modulated transcripts indicated that symplostatin 5 potently prevented the global effects of elastase. Symplostatin 5 caused a 20M-bM-^@M-^S68 % reduction in transcript levels of elastase-inducible genes including those involved in NOD- and MAPK- signaling pathways which are relevant to inflammation. Four samples were analyzed in biological duplicates. Transcriptome profile of elastase, elastase+symplostatin 5 were compared to control.
2013-01-28 | E-GEOD-41600 | biostudies-arrayexpress
Project description:BEAS-2B cells have been treated with low doses (20 ug/ml) of CSC for 4 months. As negative control BEAS-2B cells were treated with DMSO (the CSC solvent). Non-treated cells were cultivated in parallel. Experiment Overall Design: After each month total RNA was extracted from three replicates of CSC, DMSO and non-treated BEAS-2B cells and hybridized to Affymetrix GeneChips.
2009-08-09 | E-GEOD-14383 | biostudies-arrayexpress
Project description:Background: In classrooms high concentrations of particulate matter PM10 were measured. It is unknown whether the hazard of indoor particles is similar to that of the better studied outdoor particles. This study therefore analyzed adverse biological effects of classroom in comparison to outdoor PM10. Methods: Samples were taken from six schools during teaching hours. Genome-wide gene expression in human bronchial BEAS-2B epithelial cells was analyzed, and regulated genes were verified by quantitative PCR. Polycyclic aromatic hydrocarbons (PAH), endotoxin, and cat allergen Fel d 1 were analyzed with standard methods. Enhancement of allergic reactivity by PM10 was confirmed with CD63 upregulation in human primary basophils. Acceleration of human blood coagulation was determined with supernatants of PM10-exposed human peripheral blood monocytes. Results: Indoor PM10 induced SERPINB2 (involved in blood coagulation) and inflammatory genes (like CXCL6, CXCL1, IL6, IL8, all p<0.001). Outdoor PM10 induced xenobiotic metabolizing enzymes (CYP1A1, CYP1B1, TIPARP, all p<0.001). The induction of inflammatory genes by indoor PM10 could be explained by endotoxin (indoor 128.5M-BM-142.2EU/mg versus outdoor 13.4M-BM-121.5EU/mg, p<0.001), the induction of CYP by outdoor PAH (indoor 8.3M-BM-14.9ng/mg versus outdoor 16.7M-BM-115.2ng/mg, p<0.01). The induction of SERPINB2 was confirmed by a more rapid human blood coagulation (p<0.05). Indoor PM10 had no effect on the allergic reactivity from human primary basophils, except in cat allergic individuals. This was explained by varying Fel d 1 concentrations in indoor PM10 (p<0.001). Conclusions: Indoor PM10, compared to outdoor PM10, was 6 times higher, had a different composition, and on an equal weight basis induced more inflammatory and allergenic reactions, and accelerated blood coagulation. Outdoor PM10 had significantly lower effects, but induced detoxifying enzymes. Therefore, preliminary interventions for the reduction of classroom PM10 seem reasonable, perhaps by intensified ventilation. For genome-wide gene expression analysis, BEAS-2B cells (passage 41) were incubated with 10M-BM-5g/ml PM10 (school 4 indoor and outdoor) for 4, 10 or 24h, all in triplicate. experiment type : time course
2012-12-21 | E-GEOD-34607 | biostudies-arrayexpress
Project description:To explore the host responses associated with TLR3 signaling during IAV infection, we used a human bronchial epithelial cell line stably expressing a dominant negative form of TLR3 (pZERO-hTLR3) and examined global impact of TLR3 through an analysis of gene expression changes compared to control cells at 24 h after infection.
2008-06-01 | E-MEXP-1274 | biostudies-arrayexpress
Project description:In the present study, we discovered an unexpected interplay between immunometabolism and antiviral immunity. Profiling of human bronchial epithelial BEAS-2B cells was performed using Agilent’s SurePrint G3 human gene expression microarray kit. A single-color design provided two types of comparison: (i) IAV-infected versus mock-infected cells, and (ii) succinate-treated infected cells versus mock-infected cells.
2022-02-17 | E-MTAB-10031 | biostudies-arrayexpress