Title |
Minimal Tags for Rapid Dual‐Color Live‐Cell Labeling and Super‐Resolution Microscopy
|
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Published in |
Angewandte Chemie. International Edition, January 2014
|
DOI | 10.1002/anie.201309847 |
Pubmed ID | |
Authors |
Ivana Nikić, Tilman Plass, Oliver Schraidt, Jędrzej Szymański, John A. G. Briggs, Carsten Schultz, Edward A. Lemke |
Abstract |
The growing demands of advanced fluorescence and super-resolution microscopy benefit from the development of small and highly photostable fluorescent probes. Techniques developed to expand the genetic code permit the residue-specific encoding of unnatural amino acids (UAAs) armed with novel clickable chemical handles into proteins in living cells. Here we present the design of new UAAs bearing strained alkene side chains that have improved biocompatibility and stability for the attachment of tetrazine-functionalized organic dyes by the inverse-electron-demand Diels-Alder cycloaddition (SPIEDAC). Furthermore, we fine-tuned the SPIEDAC click reaction to obtain an orthogonal variant for rapid protein labeling which we termed selectivity enhanced (se) SPIEDAC. seSPIEDAC and SPIEDAC were combined for the rapid labeling of live mammalian cells with two different fluorescent probes. We demonstrate the strength of our method by visualizing insulin receptors (IRs) and virus-like particles (VLPs) with dual-color super-resolution microscopy. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Japan | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
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Scientists | 2 | 100% |
Mendeley readers
Geographical breakdown
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United Kingdom | 3 | <1% |
Czechia | 2 | <1% |
Netherlands | 1 | <1% |
Sweden | 1 | <1% |
Portugal | 1 | <1% |
Denmark | 1 | <1% |
Korea, Republic of | 1 | <1% |
Japan | 1 | <1% |
Unknown | 297 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 89 | 29% |
Researcher | 58 | 19% |
Student > Master | 31 | 10% |
Student > Bachelor | 30 | 10% |
Professor | 11 | 4% |
Other | 36 | 12% |
Unknown | 53 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Chemistry | 97 | 31% |
Biochemistry, Genetics and Molecular Biology | 61 | 20% |
Agricultural and Biological Sciences | 58 | 19% |
Physics and Astronomy | 9 | 3% |
Immunology and Microbiology | 5 | 2% |
Other | 21 | 7% |
Unknown | 57 | 19% |