Citation: KONG Xiang-Yi,  SHI Kai,  CONG Le-Le,  WANG Jing,  JIANG Li-Jun,  HONG Xiao-Yu,  LI Shui-Ming,  WANG Yong,  ZHAO Qing. Study of Human Serum Peptidome and Individual Difference by Nanoliter Liquid Chromatography-High Resolution Tandem Mass Spectrometry[J]. Chinese Journal of Analytical Chemistry, ;2017, 45(1): 133-138. doi: 10.11895/j.issn.0253-3820.160309 shu

Study of Human Serum Peptidome and Individual Difference by Nanoliter Liquid Chromatography-High Resolution Tandem Mass Spectrometry

  • Received Date: 19 April 2016
    Revised Date: 27 September 2016

  • Peptidomic has become a common method of screening biomarkers, but most researches focused on the mixture samples by analyzing and comparing the results of samples from patients and healthy controls. Unfortunately, there is little study about the individual differences among healthy person and the common features of them. Here, to obtain the general characteristics of serum peptidomics including molecular weight distribution, nanoliter liquid chromatography-high resolution tandem mass spectrometry was used to analyze the mixture samples of 20 healthy human serums. Next, six cases of individual samples were analyzed and compared, indicating that there were obvious individual difference and some common features among different samples. We found that the peptides within 7000 Da could be identified and the peptides from fibrinogen α-chain were detected with the highest frequency. Additionally, the distribution of serum peptidome at protein level was heterogeneous; namely, the top 10% protein accounted about 50% of the total peptides and only one peptide was detected for the last 40% proteins. In addition, 12 common peptides arising from 8 proteins were detected in all of the samples. Furthermore, the post-translational modification including N-terminal acetylation, oxidation, phosphorylation, deamination and dehydration, as well as the obvious sequence ladder phenomenon, were detected in all samples. In conclusion, the basic characteristics of peptidomics at the sequence level were explored and the individual difference of serum peptidome was proposed, which could provide a reference for the study of serum peptide biomarkers.
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