Back

Visualization of mitochondrial cristae and mtDNA evolvement and interactions with super-resolution microscopy

Ren, W.; Ge, X.; Li, M.; Li, S.; Shan, C.; Gao, B.; Xi, P.

2022-12-26 biophysics
10.1101/2022.12.26.521907 bioRxiv
Show abstract

Mitochondrial cristae host the respiratory chain complexes composed of mitochondrial DNA (mtDNA)-encoded and nuclear-encoded proteins and are responsible for ATP production. Movement of mtDNA located in the matrix is limited due to blockade by the cristae; yet, the dynamic interaction between the inner membrane and mtDNA remains unknown due to the insufficient spatiotemporal resolution of conventional microscopy and the lack of appropriate in vivo probes targeted to the mitochondrial inner membrane. Here, we developed a novel fluorescence probe to visualize the inner membrane using low-power stimulated emission depletion (STED) microscopy. Dual-color imaging of the inner membrane and mtDNA demonstrated that mtDNA is more likely to spread at mitochondrial tips or branch points under an overall even distribution. Interestingly, exploration of forming this distribution propensity uncovered that the mitochondrial dynamics are closely related to the location of mtDNA, and further insight found that fusion always occurs near mtDNA in order to minimize the pressure for cristae remodeling. In healthy cells, mitochondrial dynamics based on cristae remodeling promotes the even distribution of mtDNA, on the contrary, when cristae structure fails in apoptosis and ferroptosis, leading to mtDNA distribution disorder. Observation of active changes during apoptosis further captured the dynamic process of inner membrane herniation and mtDNA leakage along with cristae remodeling. Under ferroptosis, the mitochondria shrank into ellipsoids and mtDNA converged at the center of mitochondria. The rich dynamics between the cristae and mtDNA, revealed at unprecedented spatiotemporal resolution, show the motive and outgrowth of mtDNA distribution.

Matching journals

The top 7 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.