Department of Molecular and Cellular Neurobiology, Center for Neurogenomics and Cognitive Research, Neuroscience Campus Amsterdam, VU University, Amsterdam, The Netherlands.
Proteomics. 2012 Aug;12(15-16):2428-32. doi: 10.1002/pmic.201100675. Epub 2012 Jul 23.
A typical high-sensitivity antibody affinity purification-mass spectrometry experiment easily identifies hundreds of protein interactors. However, most of these are non-valid resulting from multiple causes other than interaction with the bait protein. To discriminate true interactors from off-target recognition, we propose to differentially include an (peptide) antigen during the antibody incubation in the immuno-precipitation experiment. This contrasts the specific antibody-bait protein interactions, versus all other off-target protein interactions. To exemplify the power of the approach, we studied the DMXL2 interactome. From the initial six immuno-precipitations, we identified about 600 proteins. When filtering for interactors present in all anti-DMXL2 antibody immuno-precipitation experiments, absent in the bead controls, and competed off by the peptide antigen, this hit list is reduced to ten proteins, including known and novel interactors of DMXL2. Together, our approach enables the use of a wide range of available antibodies in large-scale protein interaction proteomics, while gaining specificity of the interactions.
一个典型的高灵敏度抗体亲和纯化质谱实验很容易鉴定出数百种蛋白质相互作用体。然而,其中大多数都是非有效的,这是由于除了与诱饵蛋白相互作用之外的多种原因造成的。为了区分真正的相互作用体和非特异性识别,我们建议在免疫沉淀实验中,在抗体孵育过程中差异地包含(肽)抗原。这与特定的抗体-诱饵蛋白相互作用形成对比,而与所有其他非特异性蛋白相互作用形成对比。为了举例说明该方法的强大功能,我们研究了 DMXL2 相互作用组。从最初的六个免疫沉淀中,我们鉴定了大约 600 种蛋白质。当对存在于所有抗-DMXL2 抗体免疫沉淀实验中的相互作用体进行过滤,不存在于珠粒对照物中,并且被肽抗原竞争洗脱时,该命中列表减少到十个蛋白质,包括 DMXL2 的已知和新的相互作用体。总之,我们的方法能够在大规模蛋白质相互作用蛋白质组学中使用广泛的现有抗体,同时提高相互作用的特异性。