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

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