Quantitative proteomic analysis of S-nitrosated proteins in diabetic mouse liver with ICAT switch method

Xu Zhang1,Bo Huang1,Xixi Zhou1,Chang Chen2,

PDF(517 KB)
PDF(517 KB)
Protein Cell ›› 2010, Vol. 1 ›› Issue (7) : 675-687. DOI: 10.1007/s13238-010-0087-x
Research articles
Research articles

Quantitative proteomic analysis of S-nitrosated proteins in diabetic mouse liver with ICAT switch method

  • Xu Zhang1,Bo Huang1,Xixi Zhou1,Chang Chen2,
Author information +
History +

Abstract

In this study we developed a quantitative proteomic method named ICAT switch by introducing isotope-coded affinity tag (ICAT) reagents into the biotin-switch method, and used it to investigate S-nitrosation in the liver of normal control C57BL/6J mice and type 2 diabetic KK-Ay mice. We got fifty-eight S-nitrosated peptides with quantitative information in our research, among which thirty-seven had changed S-nitrosation levels in diabetic mouse liver. The S-nitrosated peptides belonged to forty-eightproteins(twenty-eightwerenewS-nitrosated proteins), some of which were new targets of S-nitrosation and known to be related with diabetes. S-nitrosation patterns were different between diabetic and normal mice. Gene ontology enrichment results suggested that S-nitrosated proteins are more abundant in amino acid metabolic processes. The network constructed for S-nitrosated proteins by text-mining technology provided clues about the relationship between S-nitrosation and type 2 diabetes. Our work provides a new approach for quantifying S-nitrosated proteins and suggests that the integrative functions of S-nitrosation may take part in pathophysiological processes of type 2 diabetes.

Keywords

ICAT switch / mass spectrometry / quantitative / S-nitrosation / type 2 diabetes

Cite this article

Download citation ▾
Xu Zhang, Bo Huang, Xixi Zhou, Chang Chen,. Quantitative proteomic analysis of S-nitrosated proteins in diabetic mouse liver with ICAT switch method. Protein Cell, 2010, 1(7): 675‒687 https://doi.org/10.1007/s13238-010-0087-x
AI Summary AI Mindmap
PDF(517 KB)

Accesses

Citations

Detail

Sections
Recommended

/