Super-resolution fluorescence-assisted diffraction computational tomography reveals the three-dimensional landscape of the cellular organelle interactome

Dashan Dong; Xiaoshuai Huang; Liuju Li; Heng Mao; Yanquan Mo; Guangyi Zhang; Zhe Zhang; Jiayu Shen; Wei Liu; Zeming Wu; Guanghui Liu; Yanmei Liu; Hong Yang; Qihuang Gong; Kebin Shi; Liangyi Chen

doi:10.1038/s41377-020-0249-4

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Super-resolution fluorescence-assisted diffraction computational tomography reveals the three-dimensional landscape of the cellular organelle interactome

Article

- Super-resolution fluorescence-assisted diffraction computational tomography reveals the three-dimensional landscape of the cellular organelle interactome
- Light: Science & Applications Vol. 9, Issue 1, Pages: 99-113(2020)
- Affiliations：
  
  1.State Key Laboratory for Mesoscopic Physics and Frontiers Science Center for Nano-optoelectronics, School of Physics, Peking University, Beijing 100871, China
  2.Collaborative Innovation Center of Extreme Optics, Shanxi University, Taiyuan, Shanxi 030006, China
  3.State Key Laboratory of Membrane Biology, Beijing Key Laboratory of Cardiometabolic Molecular Medicine, Institute of Molecular Medicine, Peking University, Beijing 100871, China
  4.School of Mathematical Sciences, Peking University, Beijing 100871, China
  5.School of Software and Microelectronics, Peking University, Beijing 100871, China
  6.State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
  7.University of Chinese Academy of Sciences, Beijing 100049, China
  8.National Laboratory of Biomacromolecules, Chinese Academy of Sciences Center for Excellence in Biomacromolecules, Institute of Biophysics, Beijing 100101, China
  9.Institute for Brain Research and Rehabilitation (IBRR), Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, China
  10.Collaborative Innovation Center of Quantum Matter, Peking University, Beijing 100871, China. 11PKU-IDG/McGovern Institute for Brain Research, Beijing 100871, China
- Author bio：
  
  Kebin Shi (kebinshi@pku.edu.cn)
  Liangyi Chen (lychen@pku.edu.cn)
- Funds：
- DOI：10.1038/s41377-020-0249-4
  CLC：
- Published：2020，
  
  Published Online：28 January 2020，
  
  Received：06 November 2019，
  
  Revised：11 January 2020，
  
  Accepted：14 January 2020
- Accepted：
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Dong, D. S. et al. Super-resolution fluorescence-assisted diffraction computational tomography reveals the three-dimensional landscape of the cellular organelle interactome. Light: Science & Applications, 9, 99–113 (2020).
DOI：

Dong, D. S. et al. Super-resolution fluorescence-assisted diffraction computational tomography reveals the three-dimensional landscape of the cellular organelle interactome. Light: Science & Applications, 9, 99–113 (2020). DOI： 10.1038/s41377-020-0249-4.

摘要

Abstract

The emergence of super-resolution (SR) fluorescence microscopy has rejuvenated the search for new cellular sub-structures. However

SR fluorescence microscopy achieves high contrast at the expense of a holistic view of the interacting partners and surrounding environment. Thus

we developed SR fluorescence-assisted diffraction computational tomography (SR-FACT)

which combines label-free three-dimensional optical diffraction tomography (ODT) with two-dimensional fluorescence Hessian structured illumination microscopy. The ODT module is capable of resolving the mitochondria

lipid droplets

the nuclear membrane

chromosomes

the tubular endoplasmic reticulum

and lysosomes. Using dual-mode correlated live-cell imaging for a prolonged period of time

we observed novel subcellular structures named dark-vacuole bodies

the majority of which originate from densely populated perinuclear regions

and intensively interact with organelles such as the mitochondria and the nuclear membrane before ultimately collapsing into the plasma membrane. This work demonstrates the unique capabilities of SR-FACT

which suggests its wide applicability in cell biology in general.

关键词

Keywords

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