Three-dimensional ATUM-SEM reconstruction and analysis of hepatic endoplasmic reticulum-organelle interactions  

作　　者：Yi Jiang Linlin Li Xi Chen Jiazheng Liu Jingbin Yuan Qiwei Xie Hua Han 

机构地区：[1]National Laboratory of Pattern Recognition,Institute of Automation,Chinese Academy of Sciences,Beijing 100190,China [2]School of Artificial Intelligence,University of Chinese Academy of Sciences,Beijing 101408,China [3]School of Future Technology,University of Chinese Academy of Sciences,Beijing 101408,China [4]Data Mining Lab,Beijing University of Technology,Beijing 100124,China [5]CAS Center for Excellence in Brain Science and Intelligence Technology,Shanghai 200031,China

出　　处：《Journal of Molecular Cell Biology》2021年第9期636-645,共10页分子细胞生物学报（英文版）

基　　金：supported by the Special Program of Beijing Municipal Science and Technology Commission(Z181100003818001 and Z181100000118002);the Strategic Priority Research Program of Chinese Academy of Science(XDB32030200);International Partnership of Chinese Academy of Science(153D31KYSB20170059).

摘　　要：The endoplasmic reticulum(ER)is a contiguous and complicated membrane network in eukaryotic cells,and membrane contact sites(MCSs)between the ER and other organelles perform vital cellular functions,including lipid homeostasis,metabolite exchange,calcium level regulation,and organelle division.Here,we establish a whole pipeline to reconstruct all ER,mitochondria,lipid droplets,lysosomes,peroxisomes,and nuclei by automated tape-collecting ultramicrotome scanning electron microscopy and deep learning techniques,which generates an unprecedented 3D model for mapping liver samples.Furthermore,the morphology of various organelles and the MCSs between the ER and other organelles are systematically analyzed.We found that the ER presents with predominantly flat cisternae and is knitted tightly all throughout the intracellular space and around other organelles.In addition,the ER has a smaller volume-to-membrane surface area ratio than other organelles,which suggests that the ER could be more suited for functions that require a large membrane surface area.Our data also indicate that ER-mitochondria contacts are particularly abundant,especially for branched mitochondria.Our study provides 3D reconstructions of various organelles in liver samples together with important fundamental information for biochemical and functional studies in the liver.

关 键 词：3D reconstruction ATUM-SEM deep learning LIVER ER MCSS 

分 类 号：R575[医药卫生—消化系统]