@article {48752, title = {Visualizing long-term single-molecule dynamics in vivo by stochastic protein labeling.}, journal = {Proceedings of the National Academy of Sciences of the United States of America}, volume = {115}, year = {2017}, month = {2017 Jan 09}, pages = {343-8}, abstract = {

Our ability to unambiguously image and track individual molecules in live cells is limited by packing of multiple copies of labeled molecules within the resolution limit. Here we devise a universal genetic strategy to precisely control copy number of fluorescently labeled molecules in a cell. This system has a dynamic titration range of \>10,000 fold, enabling sparse labeling of proteins expressed at different abundance levels. Combined with photostable labels, this system extends the duration of automated single-molecule tracking by 2 orders of magnitude. We demonstrate long-term imaging of synaptic vesicle dynamics in cultured neurons as well as in intact\ zebrafish. We found axon initial segment utilizes a "waterfall" mechanism gating synaptic vesicle transport polarity by promoting anterograde transport processivity. Long-time observation also reveals that transcription factor hops between clustered binding sites in spatially-restricted sub-nuclear regions, suggesting that topological structures in the nucleus shape local gene activities by a sequestering mechanism. This strategy thus greatly expands the spatiotemporal length scales of live-cell single-molecule measurements, enabling new experiments to quantitatively understand complex control of molecular dynamics\ in vivo.

}, doi = {10.1073/pnas.1713895115}, author = {Liu, Hui and Dong, Peng and Ioannou, Maria S and Li, Li and Shea, Jamien and Pasolli, H Amalia and Grimm, Jonathan B and Rivlin, Patricia K and Lavis, Luke D and Koyama, Minoru and Liu, Zhe} }