Bioinformatics Analysis of the Effects of Tobacco Smoke on Gene Expression

PLoS One. 2015 Dec 2;10(12):e0143377. doi: 10.1371/journal.pone.0143377. eCollection 2015.

Abstract

This study was designed to explore the effects of tobacco smoke on gene expression through bioinformatics analyses. Gene expression profile GSE17913 was downloaded from the Gene Expression Omnibus database. The differentially expressed genes (DEGs) in buccal mucosa tissues between 39 active smokers and 40 never smokers were identified. Gene Ontology Specifically, the DEG distribution in the pathway of Metabolism of xenobiotics by cytochrome P450 was shown in Fig 2[corrected] were performed, followed by protein-protein interaction (PPI) network, transcriptional regulatory network as well as miRNA-target regulatory network construction. In total, 88 up-regulated DEGs and 106 down-regulated DEGs were identified. Among these DEGs, cytochrome P450, family 1, subfamily A, polypeptide 1 (CYP1A1) and CYP1B1 were enriched in the Metabolism of xenobiotics by cytochrome P450 pathway. In the PPI network, tyrosine 3-monooxygenase/tryptophan 5-monooxygenase activation protein, zeta (YWHAZ), and CYP1A1 were hub genes. In the transcriptional regulatory network, transcription factors of MYC associated factor X (MAX) and upstream transcription factor 1 (USF1) regulated many overlapped DEGs. In addition, protein tyrosine phosphatase, receptor type, D (PTPRD) was regulated by multiple miRNAs in the miRNA-DEG regulatory network. CYP1A1, CYP1B1, YWHAZ and PTPRD, and TF of MAX and USF1 may have the potential to be used as biomarkers and therapeutic targets in tobacco smoke-related pathological changes.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Computational Biology*
  • Epithelial Cells / drug effects
  • Epithelial Cells / metabolism
  • Female
  • Gene Ontology
  • Gene Regulatory Networks / drug effects
  • Humans
  • Male
  • MicroRNAs / genetics
  • Middle Aged
  • Mouth Mucosa / cytology
  • Nicotiana / chemistry*
  • Oligonucleotide Array Sequence Analysis
  • Protein Interaction Mapping
  • Smoke / adverse effects*
  • Transcriptome / drug effects*

Substances

  • MicroRNAs
  • Smoke

Grants and funding

This work was supported by the Youth Research Project of Shanghai Health and Family Planning Commission (20134Y192), the foundation of Shanghai Jiao Tong University Affiliated Sixth People’s Hospital (1517), Shanghai Key Laboratory of Psychotic Disorders (13dz2260500), the Science and Technology Commission of Shanghai Municipality (12JC1407301), Shanghai Natural Science Foundation (12ZR1447200) and the Natural Science Foundation of China (81470714, 31400825).