生物素化
内质网
蛋白质组
分区(防火)
细胞器
计算生物学
亚细胞定位
细胞生物学
细胞内
生物
蛋白质亚细胞定位预测
细胞室
线粒体
细胞
生物信息学
细胞质
生物化学
基因
酶
作者
Christopher D. Go,James D.R. Knight,Archita Rajasekharan,Bhavisha Rathod,Geoffrey G. Hesketh,Kento T. Abe,Ji‐Young Youn,Payman Samavarchi‐Tehrani,Hui Zhang,Lucie Y. Zhu,Evelyn Popiel,Jean‐Philippe Lambert,Étienne Coyaud,Sally W.T. Cheung,Dushyandi Rajendran,Cassandra J. Wong,Hana Antonická,Laurence Pelletier,Alexander F. Palazzo,Eric A. Shoubridge,Brian Raught,Anne‐Claude Gingras
出处
期刊:Nature
[Springer Nature]
日期:2021-06-02
卷期号:595 (7865): 120-124
被引量:319
标识
DOI:10.1038/s41586-021-03592-2
摘要
Compartmentalization is a defining characteristic of eukaryotic cells, and partitions distinct biochemical processes into discrete subcellular locations. Microscopy1 and biochemical fractionation coupled with mass spectrometry2-4 have defined the proteomes of a variety of different organelles, but many intracellular compartments have remained refractory to such approaches. Proximity-dependent biotinylation techniques such as BioID provide an alternative approach to define the composition of cellular compartments in living cells5-7. Here we present a BioID-based map of a human cell on the basis of 192 subcellular markers, and define the intracellular locations of 4,145 unique proteins in HEK293 cells. Our localization predictions exceed the specificity of previous approaches, and enabled the discovery of proteins at the interface between the mitochondrial outer membrane and the endoplasmic reticulum that are crucial for mitochondrial homeostasis. On the basis of this dataset, we created humancellmap.org as a community resource that provides online tools for localization analysis of user BioID data, and demonstrate how this resource can be used to understand BioID results better.
科研通智能强力驱动
Strongly Powered by AbleSci AI