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

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 OV...

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Detalles Bibliográficos
Autores principales: Lee, Yongjin, Hwang, Yun-Ho, Kim, Kwang-Jin, Park, Ae-Kyung, Paik, Man-Jeong, Kim, Seong Hwan, Lee, Su Ui, Yee, Sung-Tae, Son, Young-Jin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Pharmaceutical Society of Korea 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5770490/
https://www.ncbi.nlm.nih.gov/pubmed/29086354
http://dx.doi.org/10.1007/s12272-017-0972-4
Descripción
Sumario: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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s12272-017-0972-4) contains supplementary material, which is available to authorized users.