通过空间限制酶标记对活细胞中线粒体的蛋白质组学作图。
Proteomic mapping of mitochondria in living cells via spatially restricted enzymatic tagging.
机构信息
Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
出版信息
Science. 2013 Mar 15;339(6125):1328-1331. doi: 10.1126/science.1230593. Epub 2013 Jan 31.
Microscopy and mass spectrometry (MS) are complementary techniques: The former provides spatiotemporal information in living cells, but only for a handful of recombinant proteins at a time, whereas the latter can detect thousands of endogenous proteins simultaneously, but only in lysed samples. Here, we introduce technology that combines these strengths by offering spatially and temporally resolved proteomic maps of endogenous proteins within living cells. Our method relies on a genetically targetable peroxidase enzyme that biotinylates nearby proteins, which are subsequently purified and identified by MS. We used this approach to identify 495 proteins within the human mitochondrial matrix, including 31 not previously linked to mitochondria. The labeling was exceptionally specific and distinguished between inner membrane proteins facing the matrix versus the intermembrane space (IMS). Several proteins previously thought to reside in the IMS or outer membrane, including protoporphyrinogen oxidase, were reassigned to the matrix by our proteomic data and confirmed by electron microscopy. The specificity of peroxidase-mediated proteomic mapping in live cells, combined with its ease of use, offers biologists a powerful tool for understanding the molecular composition of living cells.
显微镜和质谱(MS)是互补的技术:前者提供活细胞中的时空信息,但一次只能检测少数几种重组蛋白,而后者可以同时检测数千种内源性蛋白,但只能检测裂解样品。在这里,我们引入了一种将这些优势结合在一起的技术,提供了活细胞内内源性蛋白质的空间和时间分辨的蛋白质组图谱。我们的方法依赖于一种可遗传靶向的过氧化物酶,该酶可生物素化附近的蛋白质,随后通过 MS 进行纯化和鉴定。我们使用这种方法在人类线粒体基质中鉴定了 495 种蛋白质,其中包括 31 种以前与线粒体没有联系的蛋白质。标记非常特异,可以区分面向基质的内膜蛋白与膜间空间(IMS)的蛋白。一些以前被认为存在于 IMS 或外膜中的蛋白质,包括原卟啉原氧化酶,根据我们的蛋白质组数据被重新分配到基质中,并通过电子显微镜得到证实。过氧化物酶介导的活细胞蛋白质组图谱的特异性,结合其易用性,为生物学家提供了一种强大的工具,用于了解活细胞的分子组成。
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本文引用的文献
Nat Biotechnol. 2012-10-21
Biochim Biophys Acta. 2012-9
Bioconjug Chem. 2011-10-28
FASEB J. 2010-11-3
Annu Rev Biochem. 2009