ITRAQ-based proteomic analysis reveals possible target-related proteins in human adrenocortical adenomas

被引:5
作者
Ma, He [1 ,5 ]
Li, Ranwei [2 ]
Di, Xin [1 ]
Jin, Xin [3 ]
Wang, Yan [1 ]
Lai, Bingjie [4 ]
Shi, Cailian [5 ]
Ji, Mingxin [5 ]
Zhu, Xinran [5 ]
Wang, Ke [1 ]
机构
[1] Jilin Univ, Hosp 2, Dept Resp Med, Changchun, Jilin, Peoples R China
[2] Jilin Univ, Hosp 2, Dept Urinary Surg, Changchun, Jilin, Peoples R China
[3] Jilin Univ, Hosp 2, Dept Hematol, Changchun, Jilin, Peoples R China
[4] Jilin Univ, Hosp 2, Dept Intens Care Unit, Changchun, Jilin, Peoples R China
[5] Jilin Univ, Hosp 2, Dept Anesthesiol, Changchun, Jilin, Peoples R China
来源
BMC GENOMICS | 2019年 / 20卷 / 01期
关键词
iTRAQ; Adrenocortical adenoma; Proteomics; Differentially expressed protein; QUANTITATIVE PROTEOMICS; EXPRESSION; ALDH1A2; IDENTIFICATION; CHALLENGES; PREDICTOR; GENETICS; SAMPLES; CELLS;
D O I
10.1186/s12864-019-6030-5
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Background Adrenocortical adenomas (ACAs) can lead to the autonomous secretion of aldosterone responsible for primary aldosteronism (PA), which is the most common form of secondary arterial hypertension. However, the authentic fundamental mechanisms underlying ACAs remain unclear. Objective Isobaric tags for relative and absolute quantitation (iTRAQ)-based proteomics and bioinformatics analyses from etiological studies of ACAs were performed to screen the differentially expressed proteins (DEPs) and investigate the relevant mechanisms of their occurrence and development. Results could help determine therapeutic targets of clinical significance. Methods In the present study, iTRAQ-based proteomics was applied to analyze ACA tissue samples from normal adrenal cortex tissues adjacent to the tumor. Using proteins extracted from a panel of four pairs of ACA samples, we identified some upregulated proteins and other downregulated proteins in all four pairs of ACA samples compared with adjacent normal tissue. Subsequently, we predicted protein-protein interaction networks of three DEPs to determine the authentic functional factors in ACA. Results A total of 753 DEPs were identified, including 347 upregulated and 406 downregulated proteins. The expression of three upregulated proteins (E2F3, KRT6A, and ALDH1A2) was validated by Western blot in 24 ACA samples. Our data suggested that some DEPs might be important hallmarks during the development of ACA. Conclusions This study is the first proteomic research to investigate alterations in protein levels and affected pathways in ACA using the iTRAQ technique. Thus, this study not only provides a comprehensive dataset on overall protein changes but also sheds light on its potential molecular mechanism in human ACAs.
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页数:9
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