Two-dimensional electrophoresis analyses of atopic dermatitis and the chances to detect new candidate proteins by the variations in immobilized pH gradient strips
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Updated: Jul 16, 2026

Two-dimensional Gel Electrophoresis Coupled with Mass Spectrometry Methods for an Analysis of Human Pituitary Adenoma Tissue Proteome
Published on: April 2, 2018
Yong-Doo Park1, You-Jeong Lyou, Jun-Mo Yang
1Department of Dermatology, Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul 135-710, Republic of Korea.
Background:
Proteomic approaches, one of the high-throughput technologies, have been used to search for the proteins that are abnormally expressed in human diseases. The atopic dermatitis (AD)-associated genes or proteins are gradually being reported.
Objective:
In accordance with recent reports, we conducted the serial proteomic studies to compare with the protein expression level and to find a critical protein associated with AD.
Methods:
We applied two-dimensional electrophoresis (2-DE) coupled with MADI-TOF as well as LC-MS/MS to detect dysregulated protein in the AD proteome obtained from the patient-derived primary cells. Real-time PCR was also conducted to compare with the proteomic results in the transcriptional level.
Results:
We successfully detected new AD-associated proteins in the AD-derived fibroblasts 2D-PAGE studies due to the IPG strip variations after conducting MALDI-TOF mass spectrometry and identification of the proteins. From the real-time PCR quantifications, we found that the altered expression of caldesmon 1 isoform 5, nucleophosmin 1, esterase D and chloride intracellular channel 4 were well matched both at the transcriptional and translational levels, and this suggested that these proteins may have important involvement with the pathogenesis of AD.
Conclusion:
By simply repeating the trials with changing the commercial strips with different lot numbers in the 2D-PAGE analysis, this provided us with new finding in the AD-derived samples. This approach we used may increase the chances of finding new candidate proteins in the clinical samples and it may also be applicable for proteomic studies of other diseases.
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