Differential Gene Expression Using RNA Sequencing Profiling in a Reconstituted Airway Epithelium Exposed to Conventional Cigarette Smoke or Electronic Cigarette Aerosols

  • Banerjee A
  • Haswell L
  • Baxter A
  • et al.
N/ACitations
Citations of this article
38Readers
Mendeley users who have this article in their library.

Abstract

The use of electronic cigarettes (e-cigarettes) potentially offers a safer alternative to conventional tobacco prod-ucts. The advance in molecular biology and computational sciences offers new perspective to assess adverse bi-ological responses for product risk assessment by combining omics screens with knowledge-based biological pathways. Our aim was to compare transcriptomic perturbations in MucilAirÔ, a commercially available lung epithelial tissue, after short repeated exposure to cigarette smoke (3R4F) and e-cigarette (Vype ePen) aero-sols. We performed deep RNA sequencing and secreted inflammatory cytokine profiling postexposure. One hun-dred twenty-three genes were differentially expressed at fold change (FC) >1.5 and p-false discovery rate (pFDR) <0.1 for 3R4F exposure and 0 genes for Vype ePen aerosol exposure. When a relaxed filter pFDR <0.5 and FC >1.5 was applied, 29 genes were identified with e-cigarette aerosol exposure and used for validation of potential candidates by quantitative reverse transcription polymerase chain reaction (qRT-PCR). Gene enrichment anal-ysis was conducted and predicted a response to 3R4F smoke exposure in biological processes involving inflam-mation and oxidative stress pathways. No enrichment could be performed for Vype ePen aerosol exposure due to the lack of regulated gene candidates at those exposure conditions even after qRT-PCR validation. Of a panel of 33 cytokines screened, 8 were upregulated (FC >1.5 p < 0.05) following 3R4F smoke exposure, which was in agreement with our enrichment analysis. In conclusion, aerosol from the tested e-cigarette caused limited per-turbations in gene and inflammatory cytokine expression compared to conventional cigarette smoke, as assessed using next-generation sequencing-based systems biology approaches in 3D commercially available reconstituted lung epithelial tissues.

Cite

CITATION STYLE

APA

Banerjee, A., Haswell, L. E., Baxter, A., Parmar, A., Azzopardi, D., Corke, S., … Minet, E. (2017). Differential Gene Expression Using RNA Sequencing Profiling in a Reconstituted Airway Epithelium Exposed to Conventional Cigarette Smoke or Electronic Cigarette Aerosols. Applied In Vitro Toxicology, 3(1), 84–98. https://doi.org/10.1089/aivt.2016.0024

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free