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Proteomic and transcriptomic analysis of lung tissue in OVA-challenged mice

  • Yongjin Lee
  • , Yun Ho Hwang
  • , Kwang Jin Kim
  • , Ae Kyung Park
  • , Man Jeong Paik
  • , Seong Hwan Kim
  • , Su Ui Lee
  • , Sung Tae Yee*
  • , Young Jin Son
  • *Corresponding author for this work
  • Sunchon National University
  • Korea Research Institute of Chemical Technology
  • Korea Research Institute of Bioscience and Biotechnology

Research output: Contribution to journalJournal articlepeer-review

Abstract

Asthma is a long term inflammatory disease of the airway of lungs characterized by variable airflow obstruction and bronchospasm. Asthma is caused by a complex combination of environmental and genetic interactions. In this study, we conducted proteomic analysis of samples derived from control and OVA challenged mice for environmental respiratory disease by using 2-D gel electrophoresis. In addition, we explored the genes associated with the environmental substances that cause respiratory disease and conducted RNA-seq by next-generation sequencing. Proteomic analysis revealed 7 up-regulated (keratin KB40, CRP, HSP27, chaperonin containing TCP-1, TCP-10, keratin, and albumin) and 3 down-regulated proteins (PLC-α, PLA2, and precursor ApoA-1). The expression diversity of many genes was found in the lung tissue of OVA challenged moue by RNA-seq. 146 genes were identified as significantly differentially expressed by OVA treatment, and 118 genes of the 146 differentially expressed genes were up-regulated and 28 genes were downregulated. These genes were related to inflammation, mucin production, and airway remodeling. The results presented herein enable diagnosis and the identification of quantitative markers to monitor the progression of environmental respiratory disease using proteomics and genomic approaches.

Original languageEnglish
Pages (from-to)87-100
Number of pages14
JournalArchives of Pharmacal Research
Volume41
Issue number1
DOIs
StatePublished - 2018.01.1

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Asthma
  • Environmental respiratory disease
  • Ovalbumin (OVA)
  • Proteomics
  • RNA-seq

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