| Na Chen,Zhongyin Zhou. Analyzing proteins in colonic tissues from mice with ulcerative colitis using the iTRAQ technology. Oncol Transl Med, 2019, 5: 6-11. |
| 基于iTRAQ技术分析溃疡性结肠炎小鼠结肠组织蛋白质的差异 |
| Analyzing proteins in colonic tissues from mice with ulcerative colitis using the iTRAQ technology |
| Received:November 13, 2018 Revised:March 01, 2019 |
| DOI：10.1007/s10330-018-0317-7 |
| 中文关键词: 溃疡性结肠炎；iTRAQ；结肠组织；差异表达蛋白 |
| 英文关键词: ulcerative colitis (UC); isobaric tags for relative and absolute quantitation (iTRAQ); colonic tissue; differentially expressed proteins (DEPs) |
| 基金项目:湖北省自然科学基金（2011CHB025） |
| Author Name | Affiliation | E-mail | | Na Chen | Department of gastroenterology, Renmin hospital of Wuhan university | 614220735@qq.com | | Zhongyin Zhou* | Department of gastroenterology, Renmin hospital of Wuhan university | 13871029766@163.com |
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| 中文摘要: |
| 摘要：[目的]应用同位素标记相对和绝对定量技术（iTRAQ）研究溃疡性结肠炎（ulcerative colitis,UC）小鼠结肠组织差异表达蛋白，以探讨UC的发病机制，并寻找可能的潜在生物标志物。[方法]40只C57小鼠随机分为对照组，模型组，每组20只。模型组给予葡聚糖硫酸钠(dextran sulphate sodium,DSS)7天诱导急性结肠炎,造模成功后于第8天提取小鼠结肠组织。利用iTRAQ联合串联质谱技术进行蛋白质鉴定并对所鉴定到的蛋白质进行生物信息学分析。[结果]两组一共鉴定到了4019个蛋白，以差异倍数≥1.5或≤0.67为筛选标准，共筛选出有意义的差异蛋白317个，其中上调蛋白156个，下调蛋白161个。基于鉴定到的317个差异蛋白，在包括生物过程、细胞成分和分子功能的GO分析中，差异表达蛋白被分为48个功能条目，用KEGG pathway分析确定了160条重要通路。 [结论]应用iTRAQ技术筛选出UC小鼠结肠组织中差异表达蛋白，为深入研究UC发病机制奠定了基础。 |
| 英文摘要: |
| Objective The aim of the study was to investigate the expression of proteins in colonic tissues of mice
with ulcerative colitis (UC) by using isobaric tags for relative and absolute quantitation (iTRAQ), probe into
the pathogenesis of UC, and find potential biomarkers of UC.
Methods Forty C57 mice were randomly divided into the control and model groups (20 mice in each
group). The mice in the model group were administered dextran sulphate sodium (DSS) for 7 consecutive
days ad libitum to induce acute colitis, and the colon tissue was extracted on the 8th day after the successful
establishment of the UC model. Proteins were identified by the iTRAQ and tandem mass spectrometry
techniques,and the identified proteins were analyzed by bioinformatics.
Results A total of 4019 proteins were identified among the two groups. Among them, 317 significant
differentially expressed proteins (DEPs) were detected according to the screening criteria for selecting
DEPs, i.e. fold change ratios ≥ 1.5 or ≤ 0.67 and P-values < 0.05, of which 156 were upregulated and
161 were downregulated. In the Gene Ontology (GO) analysis, the DEPs were classified into 48 functional
categories, which contained biological process, cellular component, and molecular function. Based on the
317 DEPs, the KEGG pathway analysis identified 160 vital pathways.
Conclusion DEPs in colonic tissues of mice with UC were screened using the iTRAQ technique, which
laid a foundation for further studies regarding the pathogenesis of UC. |
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