Data Management And Sharing System of China National Clinical Research Center for Neurological Diseases
A Proteomic Analysis of Individual and Gender Variations in Normal Human Urine and Cerebrospinal Fluid Using iTRAQ Quantification
First author：Zhengguang Guo
Corresponding author：Liwei Zhang
essential_information
- Person in charge：Zhengguang Guo
- Data Sources： OTHERS
- Number of papers：OTHERS20190330
- Published time：2015-07-29
2015-07-29
Published articles
Journal：Plos One
Publication type: Clinical Article
IF(IF): 3.24
PMID: 26222143 Link To Pubmed Full text Download
Background And Purpose
Method
A total of 968/512 urinary/CSF proteins were identified, with 406/280 quantified in all individuals. The median inter-individual coefficients of variation (CVs) were 0.262 and 0.183 for urinary and CSF proteomes, respectively. Cluster analysis showed that male and female urinary proteomes exhibited different patterns, though CSF proteome showed no remarkable gender differences.
Conclusion
The above results might be beneficial for differential proteomic analysis and biomarker discovery.
Main results
In comparison with CSF proteome, urinary proteome showed higher individual variation. Further analysis revealed that individual variation was not correlated with protein abundance. The minimum sample size for proteomic analysis with a 2-fold change was 10 (4/5 for males/females using iTRAQ quantification) for urinary or 8 for CSF proteome. Intracellular proteins leaked from exfoliative cells tended to have higher CVs, and extracellular proteins secreted from urinary tract or originating from plasma tended to have lower CVs.