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Comparative proteomic analysis of cysteine oxidation in colorectal cancer patients
Authors:Hee-Young Yang  Kee-Oh Chay  Joseph Kwon  Sang-Oh Kwon  Young-Kyu Park  Tae-Hoon Lee
Institution:158. Department of Oral Biochemistry, Dental Science Research Institute and the Brain Korea 21 Project, Medical Research Center for Biomineralization Disorders, School of Dentistry, Chonnam National University, Hwasun, Korea
258. Department of Biochemistry, Chonnam National University Medical School, Hwasun, Korea
358. Korea Basic Science Institute, Gwangju, 500-757, Korea
458. Division of Life Science, Korea Basic Science Institute, Daejeon, 305-806, Korea
558. Department of Surgery, Chonnam National University Hwasun Hospital, Hwasun, 519-763, Korea
Abstract:Oxidative stress promotes damage to cellular proteins, lipids, membranes and DNA, and plays a key role in the development of cancer. Reactive oxygen species disrupt redox homeostasis and promote tumor formation by initiating aberrant activation of signaling pathways that lead to tumorigenesis. We used shotgun proteomics to identify proteins containing oxidation-sensitive cysteines in tissue specimens from colorectal cancer patients. We then compared the patterns of cysteine oxidation in the membrane fractions between the tumor and non-tumor tissues. Using nano-UPLC-MSE proteomics, we identified 31 proteins containing 37 oxidation-sensitive cysteines. These proteins were observed with IAM-binding cysteines in non-tumoral region more than tumoral region of CRC patients. Then using the Ingenuity pathway program, we evaluated the cellular canonical networks connecting those proteins. Within the networks, proteins with multiple connections were related with organ morphology, cellular metabolism, and various disorders. We have thus identified networks of proteins whose redox status is altered by oxidative stress, perhaps leading to changes in cellular functionality that promotes tumorigenesis.
Keywords:colorectal cancer  cysteine oxidation  iodoacetamide  protein network  shotgun proteomics
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