首页 | 本学科首页   官方微博 | 高级检索  
     检索      

适合杨树叶片蛋白质组学样品制备方法的比较
引用本文:甄艳,郑秀化,施季森.适合杨树叶片蛋白质组学样品制备方法的比较[J].南京林业大学学报(自然科学版),2018,61(2):33.
作者姓名:甄艳  郑秀化  施季森
作者单位:南方现代林业协同创新中心,林木遗传与生物技术省部共建教育部重点实验室,南京林业大学林学院,江苏 南京 210037
基金项目:基金项目:国家高技术研究发展计划(2013AA102705); 江苏高校优势学科建设工程资助项目(PAPD) 第一作者:甄艳(zhenyongni30@aliyun.com),副教授,博士。*通信作者:施季森(jisen@njfu.edu.cn),教授。
摘    要:【目的】为了提高植物叶片中低丰度蛋白质的检测效率,建立有效的杨树叶片蛋白质组学分析的蛋白质提取方法。【方法】利用三氯乙酸-丙酮结合PEG分级提取方法和SDS-酚结合PEG分级提取方法对杨树叶片蛋白质进行提取,并采用SDS-PAGE和双向凝胶电泳(2-DE)对提取结果进行评价。【结果】SDS-PAGE实验结果显示,三氯乙酸-丙酮结合PEG方法优于SDS-酚结合PEG分级方法。三氯乙酸-丙酮结合PEG分级和非结合PEG分级提取蛋白质的双向电泳结果表明,PEG分级能有效地去除高丰度蛋白质Rubisco,提高低丰度蛋白质的检测。三氯乙酸-丙酮结合PEG分级法检测的蛋白质比非结合PEG分级法多90个蛋白质点。【结论】以LTQ-Orbitrap XL分析三氯乙酸-丙酮结合PEG分级分离的一些蛋白质显示,三氯乙酸-丙酮结合PEG分级对于2-DE和MS鉴定低丰度蛋白质是一种有效的分离方法。


Comparison of sample preparation methods suitable for poplar leaf proteomics
Abstract:【Objective】In order to improve the detection of low abundance proteins in plant leaves, the effective extraction methods were established in poplar leaves for proteomics analysis.【Method】 Trichloroacetic acid(TCA)-acetone coupled with polyethylene glycol(PEG)fractionation and sodium dodecyl sulfate(SDS)-phenol coupled with PEG fractionation were evaluated, combined with SDS-polyacrylamide gel electrophoresis(SDS-PAGE)and two-dimensional electrophoresis(2-DE).【Result】The SDS-PAGE results showed that TCA-acetone coupled with PEG fractionation is superior to SDS-phenol coupled with the PEG fractionation method. Further, proteins with PEG fractionation and no PEG fractionation coupled with TCA-acetone were compared by using 2-DE, and the gel maps displayed that PEG fractionation is a good way to deplete the Rubiscos and improve the detection of low abundant proteins. The PEG fractionation method can detect nearly 90 more spots than nonfractionation can. 【Conclusion】LTQ-Orbitrap XL was used to identify several proteins from the PEG fractionation coupled with TCA-acetone. The TCA-acetone coupled with PEG fractionation is an effective approach for the detection of 2-DE analysis and mass spectroscopy(MS)identification of lower abundance proteins.
Keywords:
点击此处可从《南京林业大学学报(自然科学版)》浏览原始摘要信息
点击此处可从《南京林业大学学报(自然科学版)》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号