Decoding the S-Nitrosoproteomic Atlas in Individualized Human Colorectal Cancer Tissues Using a Label-Free Quantitation Strategy
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- 作者：Yi-Ju Chen ; Wei-Chieh Ching ; Jinn-Shiun Chen ; Tzong-Yi Lee ; Cheng-Tsung Lu ; Hsiao-Chiao Chou ; Pei-Yi Lin ; Kay-Hooi Khoo ; Jenn-Han Chen ; Yu-Ju Chen
- 刊名：Journal of Proteome Research
- 出版年：2014
- 出版时间：November 7, 2014
- 年：2014
- 卷：13
- 期：11
- 页码：4942-4958
- 全文大小：742K
- ISSN：1535-3907
文摘
The abnormal S-nitrosylation induced by the overexpression and activation of inducible nitric oxide synthase (iNOS) modulates many human diseases, such as inflammation and cancer. To delineate the pathophysiological S-nitrosoproteome in cancer patients, we report an individualized S-nitrosoproteomic strategy with a label-free method for the site-specific quantification of S-nitrosylation in paired tumor and adjacent normal tissues from 11 patients with colorectal cancer (CRC). This study provides not only the first endogenous human S-nitrosoproteomic atlas but also the first individualized human tissue analysis, identifying 174 S-nitrosylation sites in 94 proteins. Fourteen novel S-nitrosylation sites with a high frequency of elevated levels in 11 individual patients were identified. An individualized S-nitrosylation quantitation analysis revealed that the detected changes in S-nitrosylation were regulated by both the expression level and the more dramatic post-translational S-nitrosylation of the targeted proteins, such as thioredoxin, annexin A4, and peroxiredoxin-4. These endogenous S-nitrosylated proteins illustrate the network of inflammation/cancer-related and redox reactions mediated by various S-nitrosylation sources, including iNOS, transnitrosylase, or iron鈥搒ulfur centers. Given the demonstrated sensitivity of individualized tissue analysis, this label-free approach may facilitate the study of the vastly under-represented S-nitrosoproteome and enable a better understanding of the effect of endogenous S-nitrosylation in cancer.