Meta-analysis of microarray datasets for the risk assessment of coplanar polychlorinated biphenyl 77 (PCB77) on human health

  • Junghyun Jung
  • , Kyoungyoung Hah
  • , Woosuk Lee
  • , Wonhee Jang

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

Polychlorinated biphenyls (PCBs) are persistent organic compounds that have been banned since 1970s, but continue to contaminate the environment. PCBs are categorized into two structural groups: coplanar and non-coplanar PCBs. The coplanar PCBs are dioxin-like potent toxic compounds. To evaluate their effects on humans, we chose a coplanar PCB77 for data analysis. We performed meta- analysis by integrating datasets via the Rank Product method, and identified 375 up- and 66 down- regulated differentially expressed genes (DEGs). Notably, up-regulated genes were significantly associated with liver and kidney diseases. Using gene ontology enrichment, we found that the up-regulated DEGs were significantly enriched in the apoptotic process (false discovery rate, FDR=1.62e-10) and response to unfolded protein (FDR=7.65e-10). Protein-protein interaction networks identified the hub proteins containing HSP90AB1 and HSPA5. These findings suggest that our DEGs may provide a robust set of genetic markers for PCB77.

Original languageEnglish
Pages (from-to)161-168
Number of pages8
JournalToxicology and Environmental Health Sciences
Volume9
Issue number2
DOIs
StatePublished - 1 Jun 2017

Keywords

  • Coplanar Polychlorinated biphenyls
  • Kidney disease
  • Liver disease
  • Meta-analysis
  • Risk assessment

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