4.8 Article

Genetic Code Expansion Enables Live-Cell and Super-Resolution Imaging of Site-Specifically Labeled Cellular Proteins

期刊

JOURNAL OF THE AMERICAN CHEMICAL SOCIETY
卷 137, 期 14, 页码 4602-4605

出版社

AMER CHEMICAL SOC
DOI: 10.1021/ja512838z

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资金

  1. MRC [U105181009, UD99999908]
  2. Medical Research Council [U105178788]
  3. MRC/BBSRC/EPSRC [MR/K015680/1]
  4. Marie Curie International Incoming Fellowship
  5. MRC
  6. MRC CASE studentship (Nikon)
  7. Medical Research Council [1560461, MC_UP_A024_1008] Funding Source: researchfish
  8. MRC [MC_UP_A024_1008] Funding Source: UKRI

向作者/读者索取更多资源

Methods to site-specifically and densely label proteins in cellular ultrastructures with small, bright, and photostable fluorophores would substantially advance super-resolution imaging. Recent advances in genetic code expansion and bioorthogonal chemistry have enabled the site-specific labeling of proteins. However, the efficient incorporation of unnatural amino acids into proteins and the specific, fluorescent labeling of the intracellular ultrastructures they form for subdiffraction imaging has not been accomplished. Two challenges have limited progress in this area: (i) the low efficiency of unnatural amino acid incorporation that limits labeling density and therefore spatial resolution and (ii) the uncharacterized specificity of intracellular labeling that will define signal-to-noise, and ultimately resolution, in imaging. Here we demonstrate the efficient production of cystoskeletal proteins (beta-actin and vimentin) containing bicyclo[6.1.0]nonyne-lysine at genetically defined sites. We demonstrate their selective fluorescent labeling with respect to the proteome of living cells using tetrazine-fluorophore conjugates, creating densely labeled cytoskeletal ultrastructures. STORM imaging of these densely labeled ultrastructures reveals subdiffraction features, including nuclear actin filaments. This work enables the site-specific, live-cell, fluorescent labeling of intracellular proteins at high density for super-resolution imaging of ultrastructural features within cells.

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