细胞器
线粒体
蛋白质组学
生物
假阳性悖论
计算生物学
酶
细胞生物学
蛋白质组
化学
生物化学
计算机科学
人工智能
基因
作者
Jeffrey D. Martell,Alice Y. Ting,Hyun‐Woo Rhee,Peng Zou,Namrata D. Udeshi,Vamsi K. Mootha,Steven A. Carr
出处
期刊:Massachusetts Institute of Technology - DSpace@MIT
日期:2012-09-01
被引量:1358
标识
DOI:10.1126/science.1230593
摘要
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.
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