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Proteomic and transcriptomic analysis of interleukin‐1ß treated lung carcinoma cell line
Author(s) -
Kim ChangHoon,
Kim Do Kyun,
Choi Seung Jin,
Choi Kun Ho,
Song Kyoung Seob,
Chi Janghoon,
Koo Ja Seok,
Hwang Seung Yong,
Yoon JooHeon,
Seong Je Kyung
Publication year - 2003
Publication title -
proteomics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.26
H-Index - 167
eISSN - 1615-9861
pISSN - 1615-9853
DOI - 10.1002/pmic.200300643
Subject(s) - mucin , biology , transcriptome , microarray analysis techniques , proteomics , microarray , respiratory tract , microbiology and biotechnology , gene expression , gene , inflammation , immunology , respiratory system , genetics , biochemistry , anatomy
Abstract Mucin hypersecretion is one of the main symptoms of inflammatory disease in the respiratory tract. We previously reported that the pleiotypic pro‐inflammatory cytokine, interleukin (IL)‐1β, plays a significant role in respiratory tract inflammation by inducing mucins. However, the molecular mechanism for mucin hypersecretion in the respiratory tract remains still unclear. In order to understand the mechanisms of mucin hypersecretion in the airway epithelium, the differentially expressed proteins and genes in the lung mucoepidermoid carcinoma cell line (NCI‐H292 cells), which were treated for 6 and 24 hours with IL‐1β (10 ng/mL) were identified using two‐dimensional polyacrylamide gel electrophoresis (2‐D PAGE) proteomics and cDNA microarray analysis (8.6K). In the 2‐D PAGE, eight differentially expressed proteins and 14 post‐translational modification proteins were identified at 6 and 24 hours after the IL‐1β‐treatment. Four hundred and thirteen genes (6.6%) and 115 genes (2.0%) were differentially expressed, respectively, at 6 and 24 hours after the IL‐1β‐treatment by microarray analysis. The differentially expressed genes and proteins that were regulated by the IL‐1β‐treatment were mostly in the metabolic pathway rather than in the regulatory pathway. These results clearly show that the transcript levels have little value in predicting the extent of protein expression.