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基于超滤辅助样品制备方法的优化
引用本文:马成,潘一廷,覃培斌,钱小红,应万涛,张琪. 基于超滤辅助样品制备方法的优化[J]. 生物技术通讯, 2014, 0(1): 82-86
作者姓名:马成  潘一廷  覃培斌  钱小红  应万涛  张琪
作者单位:[1]北京理工大学生命学院,北京100081 [2]蛋白质组学国家重点实验室,北京蛋白质组研究中心,军事医学科学院放射与辐射医学研究所,北京102206 [3]新加坡南洋理工大学生命学院,新加坡637551
基金项目:国家重点基础研究计划(2011CB910603);国家高技术研究发展计划(2012AA020203);北京市科技新星计划(Z121107002512014)
摘    要:目的:基于超滤辅助样品制备(FASP)方法的出现使得使用去污剂(如SDS)的蛋白质提取方法与溶液内酶切方法得以兼容,因此提高了难溶性蛋白的鉴定数量。然而,超滤膜的非特异性吸附作用依然会造成蛋白的损失。我们拟针对该方法存在的问题对其进行改进。方法:对FASP方法进行了蛋白酶切条件、洗脱液选择、洗脱次数的改进;为测试优化方法的有效性和适用范围,选择标准蛋白BSA、鼠肝和鼠脑等3种样品进行考察。结果:相比报道的FASP方法,采用改进后的FASP方法使BSA的回收率提高了20%;经高精度质谱检测,对鼠肝、鼠脑的蛋白质鉴定结果分别比采用未优化的FASP多鉴定到2086和3592条特异肽段。结论:通过对FASP方法的优化,蛋白鉴定数量得到较大提高,该方法为蛋白质组深度覆盖研究提供了可靠的技术手段。

关 键 词:基于超滤辅助样品制备  蛋白酶切  超滤管  深度覆盖

Optimization of Filter-Aided Sample Preparation
MA Cheng^,ZHANG Qi. Optimization of Filter-Aided Sample Preparation[J]. Letters in Biotechnology, 2014, 0(1): 82-86
Authors:MA Cheng^  ZHANG Qi
Affiliation:^3, PAN Yi-Ting^1, QIN Pei-Bin^2, QIAN Xiao-Hong^1,2, YING Wan-Tao^2. 1. Beijing Institute of Technology, Beijing 100081, China; 2. State Key Laboratory of Proteomics, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, Beijing 102206, China; 3. School of Biological Sciences, Nanyang Technological University, Singapore 637551, Singapore *Corresponding author, E-mail: proteomics@126.com
Abstract:Objective: The filter-aided sample preparation(FASP) method makes detergent(such as SDS) to be compatible with "in-solution digestion". Therefore, the number of identified insoluble proteins was increased by LC MS/MS analysis. However, non-specific adsorption of ultrafihration device still causes sample losses. In this paper, we proposed an improved FASP method to solve this problem. Methods: The method made improvement in three aspects: protein digestive environment, eluent choice, and eluent times. We used three samples, bovine serum albu min(BSA), mouse liver and mouse brain, to optimize the method. Results: Compared to the original FASP meth od, the recovery of peptides from BSA increased by 20% with the optimized FASP. Furthermore, 2086 and 3592 additional peptides were identified in mouse liver and brain proteins receptively with the optimized FASP method. Conclusion: By using the optimized FASP method, we improved the level of protein identification, thus provided a reliable technique for improving the coverage of proteomics study.
Keywords:filter-aided sample preparation  protein digest  ultrafiltration  in-depth coverage
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