Van Strien Joeri, Guerrero-Castillo Sergio, Chatzispyrou Iliana A, Houtkooper Riekelt H, Brandt Ulrich, Huynen Martijn A
CMBI, Radboud Centre for Mitochondrial Medicine, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, The Netherlands.
Department of Pediatrics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, The Netherlands.
Bioinformatics. 2019 Sep 1;35(17):3083-3091. doi: 10.1093/bioinformatics/btz025.
Complexome profiling combines native gel electrophoresis with mass spectrometry to obtain the inventory, composition and abundance of multiprotein assemblies in an organelle. Applying complexome profiling to determine the effect of a mutation on protein complexes requires separating technical and biological variations from the variations caused by that mutation.
We have developed the COmplexome Profiling ALignment (COPAL) tool that aligns multiple complexome profiles with each other. It includes the abundance profiles of all proteins on two gels, using a multi-dimensional implementation of the dynamic time warping algorithm to align the gels. Subsequent progressive alignment allows us to align multiple profiles with each other. We tested COPAL on complexome profiles from control mitochondria and from Barth syndrome (BTHS) mitochondria, which have a mutation in tafazzin gene that is involved in remodeling the inner mitochondrial membrane phospholipid cardiolipin. By comparing the variation between BTHS mitochondria and controls with the variation among either, we assessed the effects of BTHS on the abundance profiles of individual proteins. Combining those profiles with gene set enrichment analysis allows detecting significantly affected protein complexes. Most of the significantly affected protein complexes are located in the inner mitochondrial membrane (mitochondrial contact site and cristae organizing system, prohibitins), or are attached to it (the large ribosomal subunit).
COPAL is written in python and is available from http://github.com/cmbi/copal.
Supplementary data are available at Bioinformatics online.
复杂蛋白质组分析将天然凝胶电泳与质谱联用,以获取细胞器中多蛋白组装体的清单、组成和丰度。应用复杂蛋白质组分析来确定突变对蛋白质复合物的影响,需要将技术变异和生物学变异与该突变引起的变异区分开来。
我们开发了复杂蛋白质组分析比对(COPAL)工具,该工具可将多个复杂蛋白质组图谱相互比对。它包括两块凝胶上所有蛋白质的丰度图谱,使用动态时间规整算法的多维实现方式来比对凝胶。随后的渐进比对使我们能够将多个图谱相互比对。我们在来自对照线粒体和患有巴斯综合征(BTHS)线粒体的复杂蛋白质组图谱上测试了COPAL,BTHS线粒体的tafazzin基因发生突变,该基因参与线粒体内膜磷脂心磷脂的重塑。通过比较BTHS线粒体与对照之间的变异以及两者各自内部的变异,我们评估了BTHS对单个蛋白质丰度图谱的影响。将这些图谱与基因集富集分析相结合,可以检测出受到显著影响的蛋白质复合物。大多数受到显著影响的蛋白质复合物位于线粒体内膜(线粒体接触位点和嵴组织系统、 prohibitins)或与之相连(大核糖体亚基)。
COPAL用Python编写,可从http://github.com/cmbi/copal获取。
补充数据可在《生物信息学》在线版获取。