title: The Application of SILAC Mouse in Human Body Fluid Proteomics Analysis Reveals Protein Patterns Associated with IgA Nephropathy.
abstract: Body fluid proteome is the most informative proteome from a medical viewpoint. But the lack of accurate quantitation method for complicated body fluid limited its application in disease research and biomarker discovery. To address this problem, we introduced a novel strategy, in which SILAC-labeled mouse serum was used as internal standard for human serum and urine proteome analysis. The SILAC-labeled mouse serum was mixed with human serum and urine, and multidimensional separation coupled with tandem mass spectrometry (IEF-LC-MS/MS) analysis was performed. The shared peptides between two species were quantified by their SILAC pairs, and the human-only peptides were quantified by mouse peptides with coelution. The comparison for the results from two replicate experiments indicated the high repeatability of our strategy. Then the urine from Immunoglobulin A nephropathy patients treated and untreated was compared by this quantitation strategy. Fifty-three peptides were found to be significantly changed between two groups, including both known diagnostic markers for IgAN and novel candidates, such as Complement C3, Albumin, VDBP, ApoA,1 and IGFBP7. In conclusion, we have developed a practical and accurate quantitation strategy for comparison of complicated human body fluid proteome. The results from such strategy could provide potential disease-related biomarkers for evaluation of treatment.
authors.affiliation: Key Laboratory of Systems Biology, Institute of Biochemistry and Cell Biology, Shanghai Institutes for Biological Science, Chinese Academy of Sciences, Shanghai 200031, China.
authors.forename: Shilin
authors.initials: S
authors.lastname: Zhao
authors.forename: Rongxia
authors.initials: R
authors.lastname: Li
authors.forename: Xiaofan
authors.initials: X
authors.lastname: Cai
authors.forename: Wanjia
authors.initials: W
authors.lastname: Chen
authors.forename: Qingrun
authors.initials: Q
authors.lastname: Li
authors.forename: Tao
authors.initials: T
authors.lastname: Xing
authors.forename: Wenjie
authors.initials: W
authors.lastname: Zhu
authors.forename: Y Eugene
authors.initials: YE
authors.lastname: Chen
authors.forename: Rong
authors.initials: R
authors.lastname: Zeng
authors.forename: Yueyi
authors.initials: Y
authors.lastname: Deng