Comparative proteomic analysis suggests that mitochondria are involved in autosomal recessive polycystic kidney disease

被引:11
作者
Li, Qing-Wei [1 ,2 ]
Lu, Xiao-Yan [3 ]
You, Yong [4 ]
Sun, Huan [1 ,2 ]
Liu, Xin-Yu [1 ,2 ]
Ai, Jian-Zhong [1 ,2 ]
Tan, Rui-Zhi [1 ,2 ]
Chen, Tie-Lin [1 ,2 ]
Chen, Mian-Zhi [1 ,2 ]
Wang, Hong-Lian [1 ,2 ]
Wei, Yu-Quan [1 ,2 ]
Zhou, Qin [1 ,2 ]
机构
[1] Sichuan Univ, W China Hosp, State Key Lab Biotherapy, Core Facil Genetically Engn Mice, Chengdu 610041, Sichuan, Peoples R China
[2] Sichuan Univ, W China Hosp, Ctr Canc, Chengdu 610041, Sichuan, Peoples R China
[3] Sichuan Univ, W China Hosp, Dept Dermatol, Chengdu 610041, Sichuan, Peoples R China
[4] Sichuan Univ, W China Womens & Childrens Hosp, West China Univ Hosp 2, Chengdu 610041, Sichuan, Peoples R China
关键词
Autosomal recessive polycystic kidney disease (ARPKD); Biomedicine; Comparative proteomics; Mitochondria; MANGANESE SUPEROXIDE-DISMUTASE; EPITHELIAL-CELL APOPTOSIS; MYC-INDUCED APOPTOSIS; C-MYC; CLINICAL-EXPERIENCE; MALIGNANT PHENOTYPE; PRENATAL-DIAGNOSIS; TRANSGENIC MICE; CYST FORMATION; DOMINANT;
D O I
10.1002/pmic.201100590
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Autosomal recessive polycystic kidney disease (ARPKD), characterized by ectatic collecting duct, is an infantile form of PKD occurring in 1 in 20 000 births. Despite having been studied for many years, little is known about the underlying mechanisms. In the current study, we employed, for the first time, a MS-based comparative proteomics approach to investigate the differently expressed proteins between kidney tissue samples of four ARPKD and five control individuals. Thirty two differently expressed proteins were identified and six of the identified protein encoding genes performed on an independent group (three ARPKD subjects, four control subjects) were verified by semi-quantitative RT-PCR, and part of them were further validated by Western blot and immunohistochemistry. Moreover, similar alteration tendency was detected after downregulation of PKHD1 by small interfering RNA in HEK293T cell. Interestingly, most of the identified proteins are associated with mitochondria. This implies that mitochondria may be implicated in ARPKD. Furthermore, the String software was utilized to investigate the biological association network, which is based on known and predicted protein interactions. In conclusion, our findings depicted a global understanding of ARPKD progression and provided a promising resource of targeting protein, and shed some light further investigation of ARPKD.
引用
收藏
页码:2556 / 2570
页数:15
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