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作 者:薛晓芳[1] 吴松锋[1] 朱云平[1] 贺福初[1]
机构地区:[1]军事医学科学院放射与辐射医学研究所,北京100850
出 处:《中国生物化学与分子生物学报》2006年第6期442-449,共8页Chinese Journal of Biochemistry and Molecular Biology
基 金:国家高技术研究发展计划(863计划)(No.2002BA711A11;No.2004BA711A21);国家重点基础研究发展规划(973计划)(No.2001CB510209);北京市科技计划项目(No.H030230280590);国家自然科学基金委员会资助项目(创新研究群体科学基金)(No.321003)~~
摘 要:蛋白质定量是探索疾病发生发展状况和寻找新药靶标的重要手段.该领域最常用的技术是比较染色后的二维凝胶上蛋白点的光密度值或综合同位素标记后的质谱峰强度方法.但此二者的样品处理方法都比较麻烦,不利于进行大规模蛋白质组的定量研究.最近几年出现了利用质谱数据进行无标记定量的方法,根据数据类型这些方法可以分为2类基于鉴定蛋白的肽段数的方法和基于质谱峰强度的方法,在高通量大规模蛋白组定量研究中有很大优势.本综述主要介绍了这2类无标记定量方法的模型及优缺点,并比较了2类方法的灵敏度和准确度.肽段计数方法在检测蛋白丰度变化时更灵敏,而峰面积强度在评估蛋白比率时更准确.In proteome analysis, protein quantification is pathogenic state or developmental stages, which would be one of the most important approaches to explore the valuable for developing new drug targets. The most common techniques in this field include the comparison of the intensities based on gel staining spots and the integration of mass spectrometric(MS) peak intensities with stable isotope labeling. But the two methods above are complexity, and do not suit for the protein quantification in large-scale proteomics. Label-free MS quantification methods emerged in recent years, which are mainly classified into two catalogs: spectral count of identified proteins and MS peak area intensity of identified peptides. The primary models or algorithms used in the two catalogs were introduced and compared the two methods in sensitivity and accuracy. Overall, spectral counting proved to be a more sensitive method for detecting proteins that undergo changes abundance, whereas peak area intensity measurements yielded more accurate estimates of protein ratios
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