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  • 标题:Visualizing long-term single-molecule dynamics in vivo by stochastic protein labeling
  • 本地全文:下载
  • 作者:Hui Liu ; Peng Dong ; Maria S. Ioannou
  • 期刊名称:Proceedings of the National Academy of Sciences
  • 印刷版ISSN:0027-8424
  • 电子版ISSN:1091-6490
  • 出版年度:2018
  • 卷号:115
  • 期号:2
  • 页码:343-348
  • DOI:10.1073/pnas.1713895115
  • 语种:English
  • 出版社:The National Academy of Sciences of the United States of America
  • 摘要: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 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 two 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 subnuclear 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.
  • 关键词:long-term single-molecule imaging ; translational readthrough ; stochastic labeling ; synaptic vesicle transport ; transcription factor dynamics
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