Mix-it-up: Accessible time-resolved cryo-EM on the millisecond timescale
Alexandrescu, L.; Lessin, W.; Lander, G. C.
Show abstract
Biological reactions often involve macromolecules that undergo substrate-induced conformational changes in under a second, yet capturing these transient states remains challenging. While high-resolution structural techniques such as X-ray crystallography and cryo-electron microscopy (cryo-EM) have advanced our mechanistic understanding of protein-substrate interactions, traditional sample preparation methods are too slow to capture rapid biochemical events. Time-resolved cryo-EM has emerged as a promising approach to visualize structural dynamics on microsecond-to-millisecond timescales, but its widespread adoption has been limited by costly equipment and challenges in achieving rapid mixing, application, and vitrification of samples in a reproducible manner. To address these limitations, we developed "Mix-it-up" (MIU), a modified spray device designed for rapid on-grid mixing and vitrification of cryo-EM samples. By manually applying one sample onto the EM grid, blotting, and subsequently spraying the second sample, we achieve on-grid mixing with a vitrification delay of as low as ~120 milliseconds. We demonstrate MIUs time-resolved capabilities through high-resolution structure determination of mixed samples, pH-induced viral capsid contraction, and ligand-dependent complex formation. These findings establish MIU as a cost-effective, versatile tool for studying rapid biochemical processes and lay the groundwork for future applications to time-resolved cryo-EM.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
- In situ architecture of the lipid transport protein VPS13C at ER-lysosomes membrane contacts 97%
- Cryo-EM structure determination of small proteins by nanobody-binding scaffolds (Legobodies) 97%
- Capturing ribosomal structures in cellular extracts with cryoPRISM: A purification-free cryoEM approach reveals novel structural states 96%
Similar papers in this journal
"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.