减法抗体筛选的使用和应用

P. Bickel, H. Lodish, Philipp E. Scherer
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引用次数: 3

摘要

关于基因何时何地表达的信息对于理解它们在健康和疾病中编码的蛋白质的功能至关重要。这一概念正在推动功能基因组学领域的强劲技术发展。基因芯片和其他基因阵列系统允许同时调查数千个基因的表达。这些方法的局限性是在RNA水平上检测差异表达。由于在翻译和翻译后水平上起作用的调控机制,特定基因mRNA的绝对表达量可能不能反映其蛋白质水平。然而,在大多数情况下,蛋白质的水平最终提供了更多的生物学信息。另一个限制是基因表达数据不能揭示重要的功能细节,如蛋白质的二次修饰或它们的亚细胞定位。新兴的蛋白质组学领域通过在蛋白质水平上识别差异表达来解决这些限制。通过这种方法,复杂混合物中的蛋白质,如细胞裂解物,通过色谱或电泳相互分离,然后通过微测序或质谱等方法进行鉴定,这两种方法都是昂贵且劳动密集型的。我们开发了减法抗体筛选(SAS) (Scherer等)。作为功能蛋白质组学的工具(图15.1)。我们的目标是创造一种方法,通过这种方法可以识别差异表达蛋白的特定亚群,并系统地克隆它们相应的cdna。此外,我们要求该方法不依赖于高成本的设备或服务。简而言之,SAS依赖于代
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Use and Applications of Subtractive Antibody Screening
Information about where and when genes are expressed is critical to understanding the function of the proteins that they encode in both health and disease. This concept is driving robust technology development in the field of functional genomics. Gene chips and other gene array systems permit the expression of thousands of genes to be surveyed simultaneously. A limitation of these approaches is that differential expression is detected at the level of RNA. Due to regulatory mechanisms that operate at the translational and post-translational levels, the absolute amounts of mRNA expression of a particular gene may not reflect the levels of its protein. Nevertheless, it is the level of protein that is ultimately more informative biologically in most cases. Another limitation is that gene expression data do not reveal important functional details, such as secondary modifications of proteins or their subcellular localization. The emerging field of proteomics addresses these limitations by working at the protein level to identify differential expression. By this approach, proteins in complex mixtures, such as cell lysates, are separated from one another chromatographically or electrophoretically, and then identified by such methods as microsequencing or mass spectroscopy, both of which are costly and labour intensive. We developed subtractive antibody screening (SAS) (Scherer etal., 1998) as a tool for functional proteomics (Figure 15.1). Our goal was to create a method by which particular subsets of differentially expressed proteins could be identified and their corresponding cDNAs cloned systematically. Further, we required that the method not depend on high cost equipment or services. In short, SAS relies on the generation
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