BioGPS
  • Home
  • Help
  • Plugins
  • Datasets
  • Sign Up
  • Login
Examples: Gene Symbol(s), Gene Ontology, Splicing plugins, Melanoma datasets
advanced
Home › Dataset Library › A Systems Biology Approach For Evaluating The Biological Impact Of Environmental Toxicants In Vitro

Dataset: A Systems Biology Approach For Evaluating The Biological Impact Of Environmental Toxicants In Vitro

Exposure to cigarette smoke is a leading cause of lung diseases including chronic obstructive pulmonary disease and cancer. Cigarette...

Registered by ArrayExpress Uploader
View Dataset

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.

Species:
human

Samples:
105

Source:
E-MTAB-2080

Updated:
Dec.12, 2014

Registered:
Jul.10, 2014


Factors: (via ArrayExpress)
Sample dose compound sampling time
Acro_34 2800 acrolein 4
Acro_34 2800 acrolein 4
Acro_05 2800 acrolein 8
Acro_05 2800 acrolein 8
Acro_05 2800 acrolein 8
Acro_23 2800 acrolein 24
Acro_23 2800 acrolein 24
Acro_23 2800 acrolein 24
Acro_31 10 acrolein 4
Acro_31 10 acrolein 4
Acro_31 10 acrolein 4
Acro_11 10 acrolein 8
Acro_11 10 acrolein 8
Acro_11 10 acrolein 8
Acro_21 10 acrolein 24
Acro_21 10 acrolein 24
Acro_21 10 acrolein 24
Acro_25 150 acrolein 4
Acro_32 100 acrolein 4
Acro_04 100 acrolein 8
Acro_04 100 acrolein 8
Acro_04 100 acrolein 8
Acro_24 100 acrolein 24
Acro_24 100 acrolein 24
Acro_24 100 acrolein 24
Acro_28 0 acrolein 4
Acro_28 0 acrolein 4
Acro_28 0 acrolein 4
Acro_06 0 acrolein 8
Acro_06 0 acrolein 8
Acro_06 0 acrolein 8
Acro_14 0 acrolein 24
Acro_14 0 acrolein 24
Acro_14 0 acrolein 24
CATE_23 3300 Catechol 4
CATE_23 3300 Catechol 4
CATE_23 3300 Catechol 4
CATE_36 3300 Catechol 8
CATE_36 3300 Catechol 8
CATE_36 3300 Catechol 8
CATE_08 3300 Catechol 24
CATE_08 3300 Catechol 24
CATE_08 3300 Catechol 24
CATE_15 20 Catechol 4
CATE_15 20 Catechol 4
CATE_15 20 Catechol 4
CATE_33 20 Catechol 8
CATE_33 20 Catechol 8
CATE_33 20 Catechol 8
CATE_11 20 Catechol 24
CATE_11 20 Catechol 24
CATE_11 20 Catechol 24
CATE_16 100 Catechol 4
CATE_16 100 Catechol 4
CATE_16 100 Catechol 4
CATE_35 100 Catechol 8
CATE_35 100 Catechol 8
CATE_35 100 Catechol 8
CATE_09 100 Catechol 24
CATE_09 100 Catechol 24
CATE_09 100 Catechol 24
CATE_17 0 Catechol 4
CATE_17 0 Catechol 4
CATE_17 0 Catechol 4
CATE_34 0 Catechol 8
CATE_34 0 Catechol 8
CATE_34 0 Catechol 8
CATE_01 0 Catechol 24
CATE_01 0 Catechol 24
FORM_04 4500 formaldehyde 4
FORM_04 4500 formaldehyde 4
FORM_04 4500 formaldehyde 4
FORM_17 4500 formaldehyde 8
FORM_17 4500 formaldehyde 8
FORM_17 4500 formaldehyde 8
FORM_26 4500 formaldehyde 24
FORM_26 4500 formaldehyde 24
FORM_26 4500 formaldehyde 24
FORM_01 10 formaldehyde 4
FORM_01 10 formaldehyde 4
FORM_01 10 formaldehyde 4
FORM_22 10 formaldehyde 8
FORM_22 10 formaldehyde 8
FORM_22 10 formaldehyde 8
FORM_28 10 formaldehyde 24
FORM_28 10 formaldehyde 24
FORM_28 10 formaldehyde 24
FORM_02 75 formaldehyde 4
FORM_02 75 formaldehyde 4
FORM_02 75 formaldehyde 4
FORM_14 75 formaldehyde 8
FORM_14 75 formaldehyde 8
FORM_14 75 formaldehyde 8
FORM_30 75 formaldehyde 24
FORM_30 75 formaldehyde 24
FORM_30 75 formaldehyde 24
FORM_07 0 formaldehyde 4
FORM_07 0 formaldehyde 4
FORM_07 0 formaldehyde 4
FORM_24 0 formaldehyde 8
FORM_24 0 formaldehyde 8
FORM_24 0 formaldehyde 8
FORM_31 0 formaldehyde 24
FORM_31 0 formaldehyde 24
FORM_31 0 formaldehyde 24

Tags

  • cancer
  • chronic obstructive pulmonary disease
  • disease
  • genome
  • lung

Other Formats

JSON    XML
  • About
  • Blog
  • Help
  • FAQ
  • Downloads
  • API
  • iPhone App
  • Email updates
© 2026 The Scripps Research Institute. All rights reserved. (ver 94eefe6 )
  • Terms of Use