Site-specific protein labeling strategies for super-resolution microscopy

Super-resolution microscopy (SRM) has transformed our understanding of proteins' subcellular organization and revealed cellular details down to nanometers, far beyond conventional microscopy. While localization precision is independent of the number of fluorophores attached to a biomolecule, labeling density is a decisive factor for resolving complex biological structures. The average distance between adjacent fluorophores should be less than half the desired spatial resolution for optimal clarity. While this was not a major limitation in recent decades, the success of modern microscopy approaching molecular resolution down to the single-digit nanometer range will depend heavily on advancements in fluorescence labeling. This review highlights recent advances and challenges in labeling strategies for SRM, focusing on site-specific labeling technologies. These advancements are crucial for improving SRM precision and expanding our understanding of molecular interactions.

Peptide-PAINT Super-Resolution Imaging Using Transient Coiled Coil Interactions

Super-resolution microscopy is transforming research in the life sciences by enabling the visualization of structures and interactions on the nanoscale. DNA-PAINT is a relatively easy-to-implement single-molecule-based technique, which uses the programmable and transient interaction of dye-labeled oligonucleotides with their complements for super-resolution imaging. However, similar to many imaging approaches, it is still hampered by the subpar performance of labeling probes in terms of their large size and limited labeling efficiency. To overcome this, we here translate the programmability and transient binding nature of DNA-PAINT to coiled coil interactions of short peptides and introduce Peptide-PAINT. We benchmark and optimize its binding kinetics in a single-molecule assay and demonstrate its super-resolution capability using self-assembled DNA origami structures. Peptide-PAINT outperforms classical DNA-PAINT in terms of imaging speed and efficiency. Finally, we prove the suitability of Peptide-PAINT for cellular super-resolution imaging by visualizing the microtubule and vimentin network in fixed cells.