Protein Array-Based Detection of Proteins in Kidney Tissues from Patients with Membranous NephropathyReport as inadecuate

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BioMed Research International - Volume 2017 2017, Article ID 7843584, 9 pages -

Research ArticleDepartment of Nephrology, PLA General Hospital, Institute of Nephrology, Beijing Key Laboratory of Kidney Disease, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing 100853, China

Correspondence should be addressed to Di Wu

Received 19 November 2016; Revised 25 January 2017; Accepted 29 January 2017; Published 27 February 2017

Academic Editor: Gang Liu

Copyright © 2017 Shuqiang Wang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Membranous nephropathy MN is an autoimmune inflammatory disease in which proteins related with plenty of biological processes play an important role. However, the role of these proteins in the pathogenesis of MN is still unclear. This study aimed to screen differential proteins in kidney tissue samples from MN patients by using protein arrays and determine the pathways involved in the pathogenesis of MN. This study first tested a quantitative protein array QAH-INF-3 and two semiquantitative protein arrays L-493 and L-507 with normal renal tissue and identified L-493 as the most appropriate assay to compare protein levels between MN tissues and normal control tissues. The L-493 array identified 66 differentially expressed proteins DEPs that may be associated with MN. The gene oncology GO and protein-protein interaction PPI analyses revealed several processes potentially involved in MN, including extracellular matrix disassembly and organization, cell adhesion, cell-cell signaling, cellular protein metabolic process, and immune response . We suggest that these different pathways work together via protein signaling and result in the pathogenesis and progression of MN.

Author: Shuqiang Wang, Yang Lu, Quan Hong, Xiaodong Geng, Xu Wang, Wei Zheng, Chengcheng Song, Chunling Liu, Meng Fan, Yue Xi, M



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