Super-resolution quantification of nanoscale damage to mitochondria in live cells

• Published in: Nano research Vol. 13; no. 8; pp. 2149 - 2155
• Main Authors: Shao, Xintian, Chen, Qixin, Hu, Lianting, Tian, Zhiqi, Liu, Liuyi, Liu, Fei, Wang, Fengshan, Ling, Peixue, Mao, Zong-Wan, Diao, Jiajie
• Format: Journal Article
• Language: English
• Published: Beijing Tsinghua University Press 01.08.2020; Springer Nature B.V
• Subjects: Algorithms; Atomic/Molecular Structure and Spectra; Biomedicine; Biotechnology; Cells (biology); Chemistry and Materials Science; Condensed Matter Physics; Cristae; Cytology; Damage; Disease; Drug screening; Evaluation; Image resolution; Materials Science; Medical imaging; Mitochondria; Morphology; Mutation; Nanotechnology; Organelles; Pharmacodynamics; Research Article; Strategy; cristae; structured illumination microscopy; morphology; quantification analyze; mitochondria
• ISSN: 1998-0124; 1998-0000
• DOI: 10.1007/s12274-020-2822-9

Mitochondrial damage, characterized by altered morphological distribution and the damage of cristae, is closely associated with mitochondrial disease. However, imaging methods for capturing mitochondrial morphology at the nanoscale level in live samples remain unavailable, which seriously hinders the accurate evaluation and diagnosis of mitochondrial-related diseases. In response, we propose a super-resolution quantification strategy based on structured illumination microscopy (SIM) for the rapid, accurate evaluation of mitochondrial morphology. Using the strategy, we accurately captured the morphological distribution of mitochondria at the nanoscale level in a way generally applicable to checking various cell processes and identifying patients with mitochondrial disease who exhibit the SLC25A46 mutation. We also used algorithm-assisted super-resolution imaging to quantitatively analyze damage to mitochondrial cristae, which supports a novel drug screening strategy—high-resolution drug screening—for investigating drugs’ pharmacodynamics on organelles in living cells. In short, our strategy improves the accurate examination of changes in mitochondrial morphology in living cells and indicates new ways in which SIM-imaging can assist in diagnosing mitochondrial disease at the single-cell level.