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作者:

Jiang Yi (Jiang Yi.) | Li Linlin (Li Linlin.) | Chen Xi (Chen Xi.) | Liu Jiazheng (Liu Jiazheng.) | Yuan Jingbin (Yuan Jingbin.) | Xie Qiwei (Xie Qiwei.) (学者:谢启伟) | Han Hua (Han Hua.)

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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 (ATUM-SEM) 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 MCSs liver deep learning ER ATUM-SEM

作者机构:

  • [ 1 ] [Jiang Yi]National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
  • [ 2 ] [Li Linlin]National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
  • [ 3 ] [Chen Xi]National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
  • [ 4 ] [Liu Jiazheng]National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
  • [ 5 ] [Yuan Jingbin]National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
  • [ 6 ] [Xie Qiwei]Data Mining Lab, Beijing University of Technology, Beijing 100124, China
  • [ 7 ] [Han Hua]National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China

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来源 :

Journal of molecular cell biology

ISSN: 1759-4685

年份: 2021

5 . 5 0 0

JCR@2022

ESI学科: MOLECULAR BIOLOGY & GENETICS;

ESI高被引阀值:127

JCR分区:1

被引次数:

WoS核心集被引频次: 0

SCOPUS被引频次: 5

ESI高被引论文在榜: 0 展开所有

万方被引频次:

中文被引频次:

近30日浏览量: 3

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